Best Data Scrubbing Software

DQ Global’s data quality software can make significant improvements to the quality of your data. Whether you need to identify, correct or remove duplicates, address verify international addresses, format emails and telephone numbers, migrate or integrate your data, implement business rules or process automation and much more; within files, databases or business applications like CRM, ERP or GIS, our suite of data quality software and programmers API’s will ensure your data is always fit for business.

Utopia utilizes its Enterprise Data Lifecycle Management (EDLM) methodology to look at all aspects of your organization's data. This methodology ensures that this valuable asset is properly cleansed, classified, created and consolidated not only at the starting point, but throughout the life of each piece of information.

BCC Data Quality includes the following solutions: LENS ensures submission and retrieval with our secure FTP-based process, receives an email when your updated lists are ready for pick-up, its processing supports PGP encryption.and process file types regardless of postal software used including delimited (comma or tab), fixed-length, Paradox, and dBase. Datavolve confirms address data against the most current USPS reference data, evaluates address data where it enters your system, so data errors are fixed before they cause problems throughout an organization, records are standardized and enhanced with essential ZIP + 4 codes, postal carrier routes, delivery point, and other valuable information and deployable by over multiple platforms, wide operational configurations, and all data entry points. ZIPFOURce Web Services Single and batch encoding options are both available, and the service adjusts names entered for proper casing: all caps or no caps, Uses USPS DPV technology to reveal whether an address listed in the ZIP + 4 database is actually recognized by the USPS as a deliverable destination and updates rural-style addresses to city-style formats, or renames/renumbers city-style addresses that may have been changed by local governments. GoData is a web-based tool for data processing, performing data hygiene and list enhancement.

The Harmony Suite provides a complete in-house customer data management platform. It contains all the modules to cleanse, validate and match your customer data in batch or real-time.

Infogix Data Quality ensures the integrity of your data by automatically monitoring your data flow as it continuously moves throughout your entire enterprise.

Anchor Software Data Quality (IDQS) matches, identify duplicates, and consolidate data into a single, comprehensive customer record of valuable asset, customer and prospect information. Features include the following: Powerful parsing, standardization, matching algorithms, and advanced address validation tools work together allowing users to consolidate account data and eliminate redundancies. Open system solutions that run on all major computer platforms. Open system solutions that run on all major computer platforms. Industry Leading Address Quality. Corrected and Consolidated View. Address Level Geocoding.

Ixsight’s data cleansing tool handles the customer data domain – by turning data that is just “Mere Text” to meaningful, standardized and validated output. Ixsight’s data cleansing tool works with names, addresses, text data, contact data in form of emails, contact numbers and custom data to parse, validate, correct, populate, standardise enrich to give enhanced Ixsights.

Hopewiser understand the impact on how data is collected, handled and processed. Our software and services can help you stay compliant with data audits and maintenance. We offer web based services, installed solutions and CRM integrations. You can easily tailor them to suit existing systems and add in optional data sets such as Business, Names and Grid References.

ActivePrime's data quality and fuzzy search technologies enable our customers to generate consolidated, actionable customer intelligence from both cloud and on-premise data.

Winpure Data Cleaning Matrix provides a method of applying a whole host of cleaning processes onto your data. Containing an array of tools to help clean, correct, standardize and transform your data the matrix is divided into 7 sections, each section focusing on a specific data cleaning operation. All settings can then be stored and used on other similar data sets thus saving a lot of time.

Datiris Profiler increases the speed and quality of your work. From identifying issues in large volumes of data to showing desired source records behind your profiling results. All with a comprehensive set of metrics that let you see your data from every angle. And all in a matter of minutes.

Omikron Data Quality maintains the quality of customer, product, and parts list data by providing integrated software (SOA), services, and consulting. Modern ecommerce challenges are met with integrated solutions, which (for instance) identify fraudulent or deceptive orders, minimize payment risks, and eliminate duplicate address records.

FinScore’s Data Quality solution measures the quality of information, considers the business user perspective, quantifies the impact of quality on KPIs, and helps prioritize improvements to applications and databases to achieve company strategic goals. FinScore’s information quality management process gives a clear picture on the current information quality levels, quantifies the impact of bad information on the company and delivers an action plan (roadmap) to continuously enhance information quality aligned with the achievement of company objectives.

Runner Technologies Data Quality corrects and standardizes postal addresses within Oracle, Ellucian and other enterprise systems (ERP, SIS, HCM, CRM, MDM). The integration provides address correction in real-time at the point of entry and for existing data via batch and change of address processing.

Infosolve Technologies Data Quality can bring your enterprise data to an accurate, complete and standard state with innovative solutions.It can improve the quality and enhance all types of data including Customer Data, Inventory Data, Product Data, Financial Data.

Certify is a web-based enterprise data quality application that continually validates databases for business rule integrity, data quality requirements and potential compliance issues. Centralized, automated and designed to validate hundreds of millions of records each day, Certify enables organizations to detect data problems quickly and allows data owners to take immediate action in resolving or correcting errors.

InfoShare Data Quality standardizes, corrects and verifies data to ensure the best quality data is used in match process to produce reliable and trustworthy results. A detailed audit trail and statistics are generated for each part of the cleansing process to indicate any data that was missing, incorrect, inconsistent, invalid, or changed.

The Scarus intelliDataQualitySuite provides you with one of the most comprehensive modular software solutions for improving and securing enterprise-wide data quality.

BackOffice Associates provides a set of software products and services to get you back on track with top data quality across your organization. Take advantage of a guided and automated approach enterprise-wide to manage your data quality processes and solve complex data errors across your business applications in a fraction of the time normally spent.

The most successful businesses have common denominators: maximizing organizational efficiencies, mitigating risk, growing revenue and innovating — fast. Data360 Analyze is the fastest way to aggregate and organize large amounts of data to uncover valuable insights across business units. Easily access, acquire, prepare and analyze quality data with its intuitive browser-based architecture.

AI AUGMENTED DATA QUALITY PLATFORM Diversity of data continues to increase in terms of sources, types, formats and platforms. Further the spread of data across cloud, multi-cloud, on-premise and hybrid makes data management even more a challenging problem. Current data quality platforms are limited to traditional use cases and lacks innovation in data preparation, machine learning, streaming data and predictive analytics technologies.