Previously, Informatica EDC was separate for managing data and metadata management, while Axon was dedicated to data governance initiatives. The integration of both was needed, but it was too complex for a layman to understand the EDC, integrate with Axon, or vice versa. The cost involved was also quite high, as there were separate licenses for EDC and Axon; utilizing EDC without Axon was not fruitful. We mandatorily needed to purchase licenses for Axon to create a full framework.

In the earlier case, proper separate licenses were required. The technical team had to ensure integration and maintain both environments, which was a difficult task. Now, with the cloud-based data quality, they have merged the two into one element. In on-premise, we call it EDC for metadata management, while in cloud-based technologies, it is known as the Metadata Command Center, which serves the same purpose as EDC concerning CDGC.

The marketplace has also moved to Informatica Intelligent Data Management Cloud (IDMC), forming a cloud data marketplace. They consolidated many tools into one, which is impressive.

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The most valuable features of Informatica Axon are the reports and statistics. It provides very good insights into pending tasks, completed tasks, and areas requiring follow-up or approval. There are various checkpoints. In one report, we can see the overall status of the system. 

Additionally, Informatica Axon has many out-of-the-box features when we want to configure stuff for workflows, surpassing those of other tools we evaluated, like Collibra. But Informatica is a very established tool that offers a lot of pre-configurations when we govern the workflows. So, these out-of-the-box features are much more robust, and reporting is much more robust compared to other tools.

Data Lineage Feature:

Data lineage is there. But not everyone is into it. We have a lot of legacy applications, and consolidation of the data into our master data management is also a parallel project going on. Right now, Informatica Axon has a fantastic lineage feature, but we do not fully use that capability in our team because there are a lot of prerequisites that we need to set before we can utilize the lineage.

There are very small components where we can see some lineage. For example, if you have product dimensions or dimension-related attributes, we can see how the data lineage is going through. But for other activities, our data is distributed across different platforms and involves about 43 to 50 legacy systems. First, we are in the process of consolidating them into one hub and then do some cleanup. That would be the biggest feature for us to start with this data lineage. Right now, we don't use that capability extensively.

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The match and merge functionality is invaluable for discovering golden master data records. Additionally, the integrated data transport and master data creation capabilities are significant. The platform's ability to pull in and push out data from other platforms without the need for an additional integration tool enhances its appeal. The availability of data quality tools within the platform is another bonus. The presence data governance tools for meta data management adds to the benefits. 

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The most helpful features in Informatica Intelligent Data Management Cloud (IDMC) are data cataloging and the data marketplace.

In terms of data quality management, Informatica Intelligent Data Management Cloud (IDMC) helps with data governance overall.

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The feature that allows me to search across the entire organizational database and then look through what objects are in which tables and which locations is quite handy. Informatica Intelligent Data Management Cloud (IDMC) can connect to pretty much any application, including Oracle Analytics and Power BI, and it works quite seamlessly. View full review »

What I like best about Informatica MDM is its structured, table-based approach. Unlike Reltio, where data is only visible through the UI and cloud-based, the solution allows access to normalized tables. This means I can directly query and see data in each table. For instance, I can easily get all customer details from the customer table. However, for more complex queries, like seeing all customer interactions with the organization, some SQL knowledge is needed to join different tables and retrieve the details.

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We use parts and standardization for most of our testing. We purchase the US Postal Service address database, which is updated periodically. Many useful tools, such as Google Maps, can detect and mark new businesses or changes in business locations. Informatica captures and updates this information. Some periodic maintenance is involved, but setting it up is not overly complicated.

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In terms of the user experience, it's very Integrated, and the implementation is very fast. You can integrate the platforms for different services to deliver all the banking needs.

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Most of the features are good. The advanced features like task flow and conditional integration are particularly useful. There are multiple transformations we can use in Dashflow, which are beneficial. We don't use features like centralization and data marketing because they aren't relevant to our use case. Our primary focus is on task flow, which allows us to design our jobs and execute them conditionally.

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The interface is really good. Another valuable feature is that it is user-friendly.

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It's the accessibility and the range of features that stand out. Before using Informatica Cloud, we were working with Informatica PowerCenter. The transition from PowerCenter to Cloud wasn't entirely effortless, but it was seamless enough for our developers to adapt and continue their work smoothly.

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The valuable feature is metadata management. If you want to trace sensitive data, you can auto-classify them. You can search for sensitive information through EDC. Using Discovery, you can identify if there is any type of data set.

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It's helpful in integration, and it can be moved around in SharePoint.  So, from the SharePoint View, data integration and reporting, it help a lot in that way.

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The solution has multiple valuable features for metadata collection from multiple data sources or technologies. The solution manages data and acts as a central hub for setting up data governance processes. 

The automated scanning of metadata from data sources is one of the most vital features of Informatica Enterprise Data Catalog. The solution comprises attribute features and AI capabilities for automatic relationship discovery between different datasets.

Another powerful feature of Informatica Enterprise Data Catalog is data lineage. The whole path of data transformation from one location to another using certain technologies is represented in Informatica Enterprise Data Catalog. The solution integrates seamlessly with other products from the vendor and allows the creation of comprehensive data governance processes.

The aforementioned integrations facilitate the coverage of semantic layers in addition to the technical data. There is another business glossary product from Informatica that easily integrates with Informatica Enterprise Data Catalog to consume data harvested by Data Catalog, which makes a powerful combination. 

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I think the integration feature is probably one of the key features in Informatica MDM. When compared to other Indian products, Informatica MDM has an edge due to its integration capabilities.

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Informatica MDM has data quality, mastering the data's capability.

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The product's most valuable feature is the ability to select the data flow and lineage.

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It's a good product, and the features for data quality, data cataloging, and UI are excellent. It has a lot of advantages.

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Informatica MDM has a defined data model we can customize with user and developer options. The solution's user interface allows users to work with the master data model. Another feature I like is that the solution can integrate with various data cleansing engines, such as address cleansing or data quality-related packages or functionalities.

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Some of Axon's valuable features include creating your business glossaries, importing DQ rules, and creating change management.

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For data lineage, we look for things at a transformation level and how the data is transforming and managing the ETL mapping. Every tool gives this information about how the data goes, but our company is interested in knowing how the data is transforming and the transformation logic between the two data sources.

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Data lineage is a valuable feature when, at our company, we design the physical elements and the logical components and need to identify the relation between them. 

The duplicate identification feature for two tickets, synonymous fields, or attributes is another vital aspect of Informatica Enterprise Data Catalog. The categorization of whether data is critical or not in the business glossary is another vital feature of the tool.  

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It's a multi-domain master data management system. The solution is easier to use compared to the other solutions. The security is good. The governance model is good. All the elements that I expect are available in the product.

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I like the connectivity and richness of features for the technical team, the maturity of the product, and that it had a cloud version. There is Informatica Cloud, and it is part of the Informatica Cloud platform.

It also has integration with other data governance tools from Infromatic, which is also good. 

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The mapping and mapplet features are valuable. The product improves data quality. The processes are running smoothly. The interface is good. Data integration is easy.

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The solution provides increased efficiency while still being user-friendly and easy to operate. It includes built-in features that ensure data consistency and accuracy, resulting in excellent data quality. 

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The solution is straightforward. We can build on a process the first time and implement it. In one single view, it's possible to understand, make the connections, define the strategies, monitor the process, and verify performance.

The solution is a unique platform that makes high-velocity development possible, independently from the connection. The connection is fantastic because the solution has connectors for all types of external systems, SAP, Salesforce, and different databases working on the cloud or on-premises.

We can implement Data Integration with Data Quality in the same platform, using just one license to implement. It's not necessary to install different types of platforms or features and the solution is user-friendly.

The solution has great integration with metadata management.

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Axon has a marketplace that allows you to showcase all the assets the data owner has, so they can request access. That's one feature we use extensively.  Axon also offers great visibility and intuitive searchability, allowing you to easily search data assets. You can check the lineage and see the work EDC does. EDC handles all the classification, cataloging, and lineage. It's integrated with Axon, and anyone can see that.

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Users can benefit from Axon's business lineage. Axon has something called Overlay, which can be used to extend the technical lineage. You can also extend it to stakeholders, all the compliance policies, and all the overlaying business rules. All of these can be seen in the same lineage.

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The most valuable feature of Informatica Axon has been the data marketplace. It has been a favorite because it not only boosts user engagement but also fosters collaboration. Implementing it was straightforward, and it seamlessly became a part of our organizational culture, making it easy for people to work together and share information.

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The most valuable feature of Informatica Axon is features, interfaces, and data mapping. It represents clusters nicely. 

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The solution has the best feature for parameterization. We can apply it at the mapping and task flow levels. It helps with auto-linking and dynamic linking options for flexible data integration.

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Integration is a valuable feature. Currently, the integration makes our security more robust, especially when compared to IICS, where we would need to make arrangements through native or other ways to handle that, and here using sum up makes our lives easier.

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Informatica is good for integrating data and cloud applications. We have connectors for integrating cloud applications like Salesforce. You can quickly integrate anything with an exposed API or a REST API.  The industry is increasingly shifting to the cloud, so we need more products that can connect to cloud-based applications. The integration is seamless and works in real time. It's also secure because you don't need to expose databases or tables. 

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Data integration is the most valuable feature. The ability to connect to any of the sources and enterprise applications makes our lives easier.

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The OAuth feature is the most valuable for authentication.

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The fuzzy matching capability is a great feature as is the network hierarchy which is the new concept code. 

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I like EDC's self-service capabilities. You can put the catalog on the intranet inside the organization, so users can search for something. People in the research world have specialized systems, and you might find data from various places that sound similar. 

The purpose of the Enterprise Data Catalog was to build an internally searchable catalog of stuff. You may not have permission to see this data but at least you could find out where it was and contact the person who owns it. 

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The dictionary, the search, and the ratings are without a doubt the most beneficial components of this solution. 

Socializing data governance is one of the examples, but I'm not sure what the others were. For instance, if you locate a specific data attribute, you can grade its accuracy by assigning it a star rating between 0 and 5. 

When someone else conducts a search, they might discover whether employees at the company believe the data to be of high quality.

In terms of additional features, I believe it is quite rich. As I previously stated, it is a fairly mature product.

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The solution's most valuable features are its data quality, match-merge engine, and CLAIRE AI engine, which helps with AI automation.

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The profiling feature in Informatica Data Quality is incredibly effective for data governance. It helps identify data types and potential duplicates, streamlining the detection process. It also suggests matches with predefined fields in our catalog.

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I cannot just go into details of the product's features randomly because if you look at a very wide range of overall requirements, be it Informatica or Talend or more data lake solutions like Snowflake. My company goes through an entire range of areas, making it difficult for me to just speak about the features.

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The tool's most valuable feature is bulk upload. We upload files in CSV or Excel format. 

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In my experience, I've specifically worked with a feature called ARS Doctor, which is part of IDQ (Informatica Data Quality). So, in my earlier project, the core functionality of ARS Doctor revolved around address information sourced from the USPS postal service. It does validate the data. This is crucial because customer addresses often contain diverse writing errors. Given the presence of multiple applications, addresses can be inputted or tagged across various systems or enter their address data differently, yet it needs to conform to a standardized format. 

Therefore, each address, even if inputted from distinct systems, undergoes validation to match a single, customizable format. We also have customized settings for these validations.

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The solution is robust. We can connect with quality analysis tools for summarizing the data as well. It has all the essential features.

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The most valuable features of Informatica MDM are the IDQ and RDM data management. PowerCenter is the most widely used feature of Informatica MDM.

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The ability to clean out data and improve the data quality is the best feature.

The solution is user-friendly and easy to navigate.

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It's a beautiful tool. It eliminates the use of a third party or some other tool as it provides beautiful functionality.

In an earlier version, when we are working with an on-premise tool, it was hard since we had to concentrate on the configuration, et cetera. However, now, when we are working with the cloud, most of the time it's very easy to handle.

Data integration happens seamlessly and is pretty fast.

The application integration will give you more flexibility when dealing with APIs.

Every week, we seem to get notifications of new features and updates. They are always trying to improve the product. 

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The most valuable feature of Informatica Cloud Data Integration is Pushback. You are able to push the data to the solution itself, and it can handle the queries. It helps us a lot. With other tools, the burden is kept on the server.

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The solution offers good data governance.

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Product-wise, compared to other on-premise tools, Informatica Cloud Data Integration can be deployed on-premises and cloud. So when we were working on-premises, there were a lot of challenges with the hardware. For example, there were memory space issues, but once we switched to cloud, there were no more issues. 

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There are a couple of valuable features. One is that it is very quick on the profiling. So, you get a very fast snapshot of the type of data that you're looking at from the profiling perspective. It can highlight anomalies in the data.

The other valuable feature of the Data Quality tool is the flexibility of using their Analyst tool to create a mapping specification, which allows you to join multiple sources of information. You can then create rules within that data set. You can apply aggregations and all other types of functions, and then you can feed that into the profiling tool. From the profiling tool, you can then create your scorecards. It can be two-step where you're using that mapping engine to integrate multiple sources. If you don't have a need for that, you can do a lot more sophisticated mappings inside their Developer tool, and then maybe do an analyst type of mapping engine. So, you can do straightforward data quality within the Analyst tool, or you can do more sophisticated data quality within the Developer tool, at least as far as the rules are concerned.

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The capability of the tool to scan and capture the metadata from a variety of sources is one of the capabilities that I find most useful. The central repository into which it is going to put that captured metadata is the best.

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The most valuable feature of Informatica MDM is hierarchy management. It's not something that's typically available and effective within ERPs.

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The most valuable features of Informatica MDM are its reliability, match functions, and integration capabilities. The out-of-box functionality of deduplication and built-in data models ensure faster implementation.

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The feature of the product that has been most helpful in improving data quality revolves around Informatica DQ or IDQ, which is one of the tools Informatica offers. IDQ helps cater to the scoring of the data, clean up the data, and integrate it.

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It is a cloud service integration platform providing flexible and scalable data management architecture. It enables seamless integration with large data ecosystems, including Hadoop and NoSQL databases. It supports real-time data streaming platforms as well.

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The most valuable features of Informatica Cloud Data Integration for our clients are the AI capabilities within Informatica Intelligent Cloud Services. It excels in mapping development, searching for contracts in data governance, creating data quality rules, and designing merging processes. The ability to identify duplicates and automate analysis coverage is particularly beneficial. Additionally, the cost-effective option of using Informatica Cloud Data Integration for smaller projects or departments has made it more accessible and attractive for experimentation.

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Informatica Enterprise Data Catalog is a compact tool. Many products operate as a data system solution or as a data catalog tool. The product is helpful when it comes to data transformation. If you would like to solve specific data-related problems, Informatica Enterprise Data Catalog can serve as a useful product.

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The tool is mainly valuable for testing teams, as it helps protect sensitive data during testing. It can also be used to mask production data for different users, ensuring that only authorized individuals can access sensitive information. These are the main reasons why we use this tool.

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I think definitely what my clients find strong about the solution is all of the processes that it can do. You can extract and transfer your data as you wish it to be consumed later. I definitely hear that this adds value to the tool. 

Another thing I hear clients say is that you can use the MDM modeling functionality as a kind of engine to do data cleansing before you consume the data.

Also, for example, Collibra works closely together with Azure, which works closely together with Informatica and Google because the clients have needs that can't be fulfilled all by one platform. Solutions needs to fit into that architecture, and Informatica can fit in there, and that's appreciated in the market.

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The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation. 

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It's probably one of the leading lights in ETL. They have really good built-in functionalities, or algorithms, that you can use to transform or process data and validate and standardize.

The solution is stable.

It's not too had to set up the cloud version. 

Support is helpful and responsive. 

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The match and merge function is good.

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I have to incorporate my particular data, schema into Axon. I can do it in two to three ways. Either I have to do a bulk upload feature in Axon, and I have to create an Excel sheet and I have to incorporate all the columns, all the attributes, all the asset columns, and their definitions, and everything into the Excel sheet and then I have to upload it. That is a manual process, and an SME has to be required to accomplish that feature.

The feature of auto-onboarding of the assets, enterprise assets via EDC is good. EDC will scan the data within the technical metadata, and then you can associate that technical metadata, and then Axon can consume that technical metadata and associate the business metadata to that technical metadata. Following some Axon systems, we have to create some systems to associate that technical metadata, as there has to be some logical hierarchy that has to be followed. It allows for some flexibility. You can have related features like policies, business glossaries, or maybe some regulatory compliance feature policies, et cetera, as well as governance.

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First and foremost, data profiling is a very important aspect, because it allows me to understand the state of the data from the different source systems and applications I'm going to pull into MDM. This is crucial, as it helps me understand the existing data landscape.

Next, Informatica MDM allows you to perform fuzzy matching. Like the example of Raja S and Raja Soni mentioned above. With fuzzy matching, I can define a threshold, and the system will let me know whether these two records are the same or not. 

This is where I think MDM shines - with its strong fuzzy matching algorithm. This is the essence of Informatica MDM. Based on these results, I can write our match conditions and then perform the corresponding data management activities.

When it comes to how data is governed - how accurate it is, what's missing, and what's not.

There are other Informatica tools involved: Informatica Enterprise Data Catalog (EDC) and Informatica Axon, which is specifically a governance tool. With these tools, users can understand data quality. 

Data quality, Informatica EDC, and Axon work together - they "talk" to each other. The moment Axon identifies that data is bad, incomplete, incorrect, or whatever, the governance tool allows you to monitor all of these things and feed them back into the organization.

For example, if someone within the organization is using the governance tool, which is connected to data quality, they might realize: "This particular source isn't giving me certain information, like city data. But I need city information for my XYZ data usage. So, I should focus on another data source or application where customer cities are available." Based on this, data governance can be implemented, and workflows can be established.

MDM also provides workflows. When records come in or if a customer wants to update a record directly in MDM, different personas can be defined. 

A workflow would then be triggered, and someone could review the data being fed through these forms or sources. They might reject or accept it based on predefined criteria. This is how data entering MDM is governed, ensuring everything is correct and meets organizational standards.

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The most valuable feature of Informatica Axon is that it is flexible and user-friendly.

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The valuable feature is that we can automate the integration part. Also, it's suitable for data quality. The solution also helps create the data that has been helpful in data governance. We performed some effective or administrative charges in real-time and, most recently, in a real-time solution. So, it allows enrollment to capture and transform the data anytime.

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The most valuable feature of Informatica Enterprise Data Catalog is it provides clients with a full view of the enterprise data assets. For example, how many data assets they have and who owns them.

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Informatica MDM's most valuable feature is the interconnection between multiple Master Data domains.

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The most valuable features of Informatica MDM are it is cloud-enabled and has all the elements that are supposed to have in terms of MDM as a solution. All the features that are there. It is very well-integrated with any of the SAP and non-SAP applications. It is quite user-friendly. The user experience that you receive in Informatica MDM is quite good.

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The metadata management of Informatica is great. When an organization uses developer for data integration, IDQ for Data Quality, EDC for Data Catalog, Axon for Business Glossary, DPM for data privacy management etc., Informatica tools integrate metadata from all these tools seamlessly. The advantage is getting a complete view of your enterprise data through business and data lineage - as it not only provides you with pure data lineage but also associates related data quality measures, data protection levels, etc.

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The product is easy to set up thanks to pretty good documentation. 

It supports several ways of using it (real-time, batch mode) and has testing capabilities. 

The pricing model is clear. 

The service returns good results which vary depending on the country of the address origin. In case there are multiple matching addresses, this service returns all of them which allows our end of the process or the end-user to select the best matching record. The speed of returning the validated addresses is really great.

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Informatica comes with a predefined data model which is the way in which you enrich your products. It acts not only as master data but also as a product enrichment tool. The product provides flexibility; you can go for an undefined number of attributes that define a product. You can plug it in with any e-commerce website. That's its value to us and why we need it. 

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In the latest version, I like the outlay of the business roles creation. I like seeing that visualization as you're building it, as opposed to going through metatables or XML mappings. We liked that piece, and it makes it more intuitive for the business. 

Its GUI interface definitely helps visualize what we're trying to accomplish. There is always a disconnect between IT and the business, and it helps in creating the feeds that follow the business process flows with some of the types involved with the business.

It is so broad in what it can do. Their services have expanded beyond what they originally built it out to be. The best thing I like about it is that each time they add a new service to the platform, it easily integrates with the core, which is really nice.

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The workflow in Informatica Axon is intelligent and good. Informatica Axon provides good data collection and good search criteria. In Informatica Axon, workflow and business glossary are good.

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Informatica Business Process Manager is easy to use and learn. 

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We can scan anything. We can scan reports, XML and JSON files also. That's a good thing about the Informatica Enterprise Data Catalog.

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I like that Informatica MDM has robust matching technology. Informatica MDM is also porting the external Java applications for validations. I can consider that a must-have. It is also exposed to Rest API calls, and we can engage in real-time integrations with any third-party systems.

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The product provides all the typical MDM capabilities like deduplication, machine survivorship, and other things. 

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The Provisioning tool is something that is really handy for everyone. It is my pick as the best feature.

It is a very mature tool. It has been in the market for more than a decade.

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The most valuable features are that MDM has a very strong master merchant, and it's possible to model all kinds of domains in one solution.

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These are the features I found useful in Informatica Enterprise Data Catalog: one is its data profiling is good. The data lineage is also okay, though it had a few issues to be solved. The data domain discovery for the solution is good, though it was hard to implement.

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Axon does one interesting thing that I don't think other tools do as well. It lets you rate data and incorporates Informatica's data quality feature into it. There are little indications and graphics that show you how good the data quality is, and you can drill into it to see where potential issues lie. 

Users can comment on the data, tag people, and ask questions or rate the data one to five based on their experience, which helps eliminate data silos. You have all your information right there, and it's easier for future users to know which data to draw from.

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Informatica is user-friendly, stable, and scalable. These three aspects are the most valuable for us. If we can make it work well with the CRM, we can continue or try again this year to complete that part of the project. I am confident that this kind of solution is what we need because we have a third-party resource that works in the development. 

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With a Java user configuration, I will probably see 70 to 75 percent of the use cases met. I'm not talking about workflow integration. Instead of going to an active worksite, I'm managing everything from Informatica PowerCenter. I used to do those things, but now I'm just keeping my viewpoint specifically within MDM. I think with the configuration, you can achieve 75 percent of use cases. New tools are coming out that will enable you to achieve 90 percent of use cases with the out-of-the-box configuration, but I would like to keep Informatica tight here. Otherwise, you need a Java user edit course and other things to do multiple things that you cannot configure out of the box. They have to go through those use cases to do something if those can also be configured rather than coded.

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We don't use Informatica Data Integration Hub extensively. I enjoy using it to create multiple publishing models.

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We are using end-to-end features of Informatica. Everything comes under the product. We really like that the solution is part of a bigger use case that can all be under one umbrella system.

There are new features that are being built to help more closely link all of the solutions we use, and we like that they are always thinking about how each product interplays with the other.

We've used the solution for quite some time, so in our organization, the product is pretty mature.

There are lots of use cases surrounding the use of the product.

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It is easy to create REST-based interfaces of the master data objects. It can be used for reading, creating, and modifying the master data objects of the parties, their addresses, and contact information. The creation and modification features always consider the data quality rules, and it is a very powerful way to provide a data interface to master data objects. It is missing in many other tools.

The solution meets the performance needs of my organization. There isn't much that Informatica doesn't do. The maintenance of the data quality rules has been improved. It’s a lot better than it was when we started. Replacing the old SOAP APIs with the new REST APIs is a great improvement. It’s still a work in progress. Some interfaces still use the old SOAP APIs.

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It's for tool management, maintaining the golden record of customer status.

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The most valuable feature I see in Informatica MDM stems from everything that touches the area of data governance.

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We have implemented both data profiling and data quality transformations for data validation. These are the two major components we rely on, with data profiling helping us understand the data's characteristics, and data quality transformations ensuring data validation.

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The management of the policy is very useful. The ability to customize data search and data sharing is useful. The solution has all the necessary features. 

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It is a very good tool. So there is Informatica Axon, Informatica EDC, and Informatica Data Quality, which are the best solutions in the market for data governance. Many customers prefer the solution.

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We are satisfied with the entire solution in its current state and eagerly anticipate its transition to cloud technology.

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So far, we have been pleased with its capabilities. 

It has a wide coverage of technologies. 

The solution scales well.

It is stable and reliable. 

The technical support has been helpful.

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It comes with lot of features and is a one-stop-shop solution for integration, data modeling, and data governance. Everything can be built under one particular umbrella. If any issues come up, then there won't be any blame game saying that it could be an integration issue or an MDM hub issue because it's wholly owned by Informatica. That's the biggest advantage of Informatica MDM over that of any other tools that are available on the market.

It has given us a lot of flexibility in terms of solutions.

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It's got a reputation in the industry as one of the best solutions for master data management. So, it's what we see in the Gartner top right quadrant as the best product in that space.

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It has all the advantages of the Cloud in that you can use it without worrying about infrastructure, upkeep, or upgrades. Informatica is in charge of all those things. Additionally, the SLA on the cloud is better.

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Initially, there wasn't a great product competing with Informatica for market management. It has been leading the market with hierarchy management and all the different match concepts and algorithms. They're very robust.

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It's great as a unified enterprise data management platform. It's useful for cross-platform functionality.

The solution is stable.

The product is scalable and excellent for enterprise-level organizations.

Technical support has been good.

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Its data cleansing capabilities are very valuable. The match and merge and the audit trail functionalities are very useful. Review and approval workflows are widely used by the user community.

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I like that Informatica MDM doesn't require a separate IDQ. In the IBM InfoSphere, we need exclusive data quality to identify the issues in the source system. But if you use Informatica MDM, that's not the case. The MDM itself identifies the issues and we can use the data quality tools and the score card. It's good compared to other tools. Troubleshooting is very easy and I believe performance is better than any other tool. It solves any complex queries you can connect, any complex route, any complex mappings, you can do it all with Informatica MDM.

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The solution allows the complete governance process, starting from the data quality, those definitions, and it can get the data quality in the EDC.

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I like the number of options that are presented with Informatica, fuzzy matching, and your screen. I feel the screen or the configuration is pretty easy and pretty straightforward. To learn or to ramp up is also pretty straightforward.

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The evaluation service is a valuable feature of this product. 

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The staging and hierarchical features are the most valuable.

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I think the most valuable part of Informatica is the flexibility in extending the data model. I think that is the biggest benefit. The data quality component is also an important part of it.  

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Our requirement is to orchestrate. We talk to different integration points in our client's systems and get the data from different APIs. Data gathered is enriched/cleansed and filtered with application of business rules . Output of application can be a communication sent out to clients customer via different channels or an update to their core data elements via API

There isn't any human touch involved. It's just an automated business process to build different applications and talking to various APIs using the client's ecosystems. Human workflow feature of this tool has not been explored.

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The solution has an excellent data profiler.

The way that the solution scans is very useful. 

The discovery worked well for the AS400, which is a very old database.

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One of the main valuable features is the user interface which is very easy to use if we have any problems to solve. We don't need to install any client machines to do this, we can access from any machine. 

For the past six and a half years I also worked with PowerCenter, so I used to see the big icons and it's very easy for me to do. But with moving to Cloud there have been some challenges but it's getting better. We are able to connect to a lot of structured data, there are a lot of provisions. 

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The solution's ability to integrate with different solutions is a big selling point for us. It's also quite powerful and customizable. I really enjoy its match and merge capabilities.

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The features I find most valuable are the mappings and rules. I am also impressed by the solution's interface. I really like this solution, as it works very well.

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It is one of the best tools available for data integration.

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The most valuable feature is its ability to extract metadata from various sources- be it an old SaaS application or the latest cloud application. They have a custom resource that allows us to customize no matter which source system we have, and we can customize it to extract the technical metadata.

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The best thing about Informatica Axon is that it integrates with the Electronic Data Capture and the Axon system. We have policies and processes in place to ensure that everything runs smoothly. However, it's important to work closely with the business person to ensure that all their needs are met. We need to coordinate with the business team as well because the inputs have to be communicated from both the end IT and the business team as well.

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We have a lot of integrations, and it's very easy to create integrations. They have a lot of connectors.

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The most valuable feature for me is the easy interface; it has a great look and feel, and the functionality is so easy. The friendly interface means we can easily create applications and integration processes to interconnect different applications.

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One of the most valuable features is that I don't need to buy a subscription for any functionality. With Informatica Cloud Data Management, I have all the functionality and features available. If I need to make an integration, I can go to that integration service. If I need to mask, provide, or clean some information, I can easily just pick up that feature and use it. It's very simple, and I have all the functions and capabilities I need to work with data. 

For example, you have data integration, data profiling, data quality, data governance, MGM, etc. You have an enterprise data catalog where you can build a central repository of all the audio, knowledge of technical data sets, or technical data assets from your company, as well as do semantic searches. 

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What I like about Axon is that typically, with all tools, you will find that there are certain limitations when it comes to the user level. However, with Axon, the limitations are not there. You could have certain people getting into Axon and things like reading, writing, or editing the policies. However, apart from those people, everyone else in the organization can still view it, so it's not restricted. There are certain people who could just edit the tool or administer the tool. That said, everyone in the organization can view what is actually happening and what they could benefit from it. That's how collaborative data governance comes into the picture with Axon. 

It has got nice integrated quality dashboards as well. 

It has the BPMN enabled or BPMN compliant workflows embedded inside it, which is great.

The solution is stable.

It doesn't need too much memory. It's being used by the business as well as the IT guys in tandem. There is something called a Marketplace that is also available. Now, when you publish something, it's is available for all the consumers out there to use within the organization. 

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Their new licensing is very flexible. With Informatica Cloud, you have plenty of items under the same umbrella, such as services, offerings, data quality, and data masking. You have also got master data management and API management. What I really like about them is that you don't need to go to Informatica and say that you need a data integration module. You would say that you need iPaaS or Informatica Cloud. They'll then try to understand your needs and give you IPUs, which are the processing units. If I purchased a hundred IPUs from Informatica as a customer, I can use 70 IPUs for data integration. I would also need data quality, so I can use 10 IPUs for data quality. I can use the remaining 20 IPUs for API management. Down the line, if I see that my initial data integration needs for the development phase are met, then out of the 70 IPUs assigned for data integration, I can use 30 IPUs for data masking. I can shuffle these numbers in any way within the Informatica Cloud umbrella for the tenure for which I have subscribed to these IPUs. I can use all services the way I want. This flexibility is what I really love about Informatica. It also has got good connectors.

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It is very useful for testing purposes and designing mappings for small projects. If you go for IDQ in the mapping itself, you can see the data. You can then correct it, and test it so easily. 

It is working fine. It is also stable, scalable, and easy to deploy.

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The features that I have found most valuable are, first of all, that it comes as part of this whole bundle of Informatica tools. So if you've been implementing Informatica MDM across a business, you'd often find it comes with it. It's been thrown in as a sweetener. The adoption of it is often the challenge because as part of your MDM project, governance is seen as something beyond the MDM and is often restrictive. So this tool actually, for the first time, when you talk to data governance teams, gives a holistic view of what a data governance team can do with this tool.

Collecting a knowledge repository, creating a business glossary and visualizing the data lineage are quite fundamental as part of your data governance team's work. Once they see it in Axon, it becomes relatively easy for them to visualize what they have to do. Otherwise, it is often a challenge for them to grasp what their role is and what are they supposed to do. Informatica Axon provides that visualization which helps a lot.

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Seeing the data in the mapping itself is really nice. We don't want to extract the data and just see the flat file. With Data Quality, we can see the data very easily.

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The user interface is good.

The solution's initial setup is quite straightforward.

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In terms of Data Quality, the feature most valuable to me is that the solution is applicable for both technical and business users. I like that instead of using on-premises processing power, you can now use your on-cloud platform processing power to process the data and get a faster turnaround time. From a product perspective, everything is well done. 

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The connectivity and their whole suite are valuable features. Whether we need data cleansing or data mastering, we get it all in one platform. There's no need to test different cloud vendors and then integrate with one solution. Informatica is a one-stop shop.

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I do a quite a lot of data transformations, and the fact that I can do them without changing any of my SQL queries from the code, using the inbuilt tools, is very helpful. Very few tools outside of Informatica have the ability to do that.

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The most important features are the mastering of the data and the UI intuitiveness.

I find this solution to be the most efficient, immersive, and robust.

Also, they have a feature map that is flexible and robust.

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The most valuable features are the structure masking and platform masking. 

I also like that for Salesforce integration we can use Informatica Cloud. For on-premise, normally we do the SQL server database.

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The most valuable feature is data discovery. This is the most exciting feature for all of the banks.

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The most valuable feature of this solution is data profiling. We are able to set rules, establish a data quality management platform, and monitor the quality. These features are excellent.

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The features I find most valuable is the synchronization, verification, functionalities and all the data integration features. I have been academically trained and earned the Cloud Academy badges 101 and 201. Currently, I am training to use this solution in real-time.

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When we use Informatica, we have a complete global vision of our clouds and the local application data and that is very important for us.

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The most valuable feature is the building of mockups and tasks.

The user interface is fine.

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Mapping designer seems to be easier to use even when compared with PowerCenter which is a great improvement.

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It gives you accountability to centralize your data and have it available to different applications. Its not limited up to specific platform, SAP for example is quite rigid in connecting outside SAP, and within SAP it is fantastic. 

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My most valuable features of this solution are that the DI team uses the Informatica Powercenter, which is an automized tool that Informatica provides. For quite some time, they have been using this. So, the cloud products are coming from the same school of thought, which makes it more believable that it can do whatever it is required to do. And, I think that was the primary reason for going with Informatica on Cloud The majority in terms of dating their product promptly is something that is quite apparent.

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• NPI
• Security
• Governance
• Risk management.

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It is good for centralized data.

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Address Doctor. This is the best feature to gives an accurate combination of the information provided with a level of returned threshold value.

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• Lineage
• Provenance
• Flow of data through various sources
• Data domain discovery to find out sensitive data.

One thing we find very useful is a feature which lets us know who are the stakeholders of a particular data source, and if you are making any changes to a source, then which users must be informed prior. 

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Valuable features include:

• 360 degree view of customer data
• Data quality improvement through better decision making with respect to BI
• Analytics and reporting
• Improvement in he customer experience with better services provided to the application users
• Consistent support to the business through process standardization supported by effective Change Management and Data Governance

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The Match-and-Merge feature is valuable.

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The flexibility to interact with many different sources and targets like Oracle, MySQL , Flat Files, Informix, SAP thru PowerExchange, applying different transformations that you can configure in an intuitive way, gives both business and IT teams the opportunity to track the data lineage and also to provide value to the data workflows you create, integrated to feed the MDM solution together with Data Quality processes.

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Having access to PIM production, we get all the details of the supplier from here and we also get to update the information on the master catalog for urgent tasks.

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I like the fact that you can find almost any product connection that you need and the list is always expanding.

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The most valuable features are:

• Data synchronization tasks
• Mapping designer tasks
• Scheduling

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The Mapping Designer allows for declarative ETL development (visual scripting) that leverages a wide array of different transformations.

The designer allows for the creation of mappings to be leveraged as templates. Within the templates, parameters can be set up that serve as variables for deployment to mapping configuration tasks.

Mapping Configuration Tasks, MCTs, are specific uses of a mapping to fit a situation or set of circumstances.

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• Data Replication Tasks: Easy to configure, for the most part reliable, and also what my system deals with the most.
• REST API: Excellent for scripting control and reporting mechanisms

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I particularly value data replication and data sync jobs. Replication allows us to fully replicate all objects from Shop Floor Data Collection (SFDC) to in-house/on-premises database in one job.

I also appreciate the flexibility of the reset target option to reflect the source object structural changes to be implemented on the target database table side. This is awesome.

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It is quite easy to use and flexible.

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It is a cloud-based solution. This means it has no complex software nor does the startup need to be installed. However, a cloud agent is required.

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The Mapping Configuration and PowerCenter wizards are valuable. We use them to run our business logic.

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New ProductBusiness user-friendly web user interface, dashboards and graphs, flexible task-based workflow, ability to use library of out-of-box data quality rules or define custom DQ business rules, channel specific exports, fully customizable BPM workflow engine for task management and notifications, enterprise scalable performance, flexible data model and hierarchy management.

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Excel-like, so adoption is easy with users. The exporting and importing of information makes data management easier.

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• Integration - it provides a single code-base with all data management technologies, and handles all entity data types in all modes (for operational and analytical use)
• Model-Driven - it models an organization’s business definitions according to its own requirements and style. All metadata and business services are generated on the organization’s definitions. Informatica MDM Hub can be configured with history and lineage.
• Flexible - it implements all types of MDM styles registry. Reconciled trusted source of truth and styles can be combined within a single hub. Informatica MDM Hub also coexists with legacy hubs.
• Reporting – it has an integrated Data Stewardship User Interface Application which has been recently integrated with Jasper reports. One of the most powerful open source reporting engines which can provide on demand MIS (Management Information System) reporting

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It allows you to build your own rules to identify the golden records as part of master data management.

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The improved interface (IDD), eliminating the need to run a full tokenization process during match & merge process allowing 24x7 access to on-line users, and its better interface in console.

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Overall product management, flexibility, intuitiveness and governance.

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I use AddressDoctor to validate address on a e-commerce site (based on WebSphere Commerce) for a company lead on food production. It is simple to use and results are always correct. Options used to configure validation request and details provided in result, such as which field is changed and why.

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Address correction batch mode and suggestion list View full review »

• Matching, merging and survivorship
• Maintaining cross reference and merge history information

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Data cleansing and address validation are the most valuable features. Also the web services which can be called on the fly. Data Duplication plays a very important role. View full review »

IDQ integration with Power Centre Designer Repository. On the fly you can move your IDQ artefacts to Power Centre Designer. Later you can use them in a workflow and for scheduling etc. View full review »

- Seamless integration of MDM, data quality and data integration modules - Repository of data models from other customers - very useful! - Support for multiple domains including product and location data - Flexible architecture supports registry, consolidation, coexistence, and transaction styles. We use the coexistence style. - Management of party data - Performance is good, even as our database has grown in size over the past year View full review »

The product's most valuable feature is the replication tasks. It allows the creation of identical tasks that can be applied across multiple tables, ranging from 100 to even 1,000 tables. 

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The serverless capability and the packaging application of the solution are valuable, as all tools come with the solution and do not require additional license purchases.

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The mass ingestion functionality and the elasticity of the solution are great. It enables you to leverage the elasticity capability that the cloud provides. You can build a process, scale-up and leverage all the elasticity and the automatic provision the cloud has. What took 10 hours to do in the on-prem version, takes less than an hour in the cloud. It's a huge difference. The solution is designed for a cloud-native approach with native components and connectors for all the cloud-ready solutions we need nowadays.

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The user interface is flexible and the visibility of the data flow is amazing. You can see your data throughout the flow and then you can determine where issues are before fixing them.

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The data mapping capability is a valuable feature. 

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