I am a reseller for Sage business solutions and will start to sell Microsoft BI.
Microsoft BI is primarily used for sales, financial, and production reports.
I am a reseller for Sage business solutions and will start to sell Microsoft BI.
Microsoft BI is primarily used for sales, financial, and production reports.
I believe that it's a good solution.
It is not an expensive solution. The price is very important in the solution selection process. In my opinion, Microsoft BI is a low-cost solution, and it could be an interesting solution for a tourism company.
I have been using Microsoft BI for a few months.
As a cloud solution, we are always working with the latest version.
In our company, we have five users.
The price is an important consideration when upgrading or adding new users. In my opinion, it would be better for the price to be degressive by the user. For example, if you have five users, you simply multiply five by the unit price to find the total cost of the solution.
I believe the price should be degressive, and we should have a lower, or better unit price if we have more users.
I hadn't really needed Microsoft's technical support until now. We have not had any issues to resolve.
The installation is not a difficult thing, it is very simple.
We only need one IT manager, to deploy this solution.
Licensing fees are paid on a yearly basis.
I would recommend this solution to others who are considering this solution, which is the reason that I will be selling it.
I would rate Microsoft BI an eight out of ten.
We use this as a data validation tool.
It has improved the organization because now we can connect Power BI directly with the Microsoft team. So it creates a more direct feed among the teams.
I like how it has the capacity to share the contents of the report easily. The data validation is great, too. It's easy to learn, so it's easy to teach how to use the Power BI for a team, and it's easier to build the parts.
The performance, the ETL, is not so good. Also, I believe Power BI could improve how to add filters to the visualization dashboard because we don't see an easier way how to apply them. We can't filter the table directly, so we always have to do separate filtering for parts of the dashboard.
In the next release, I'd like to see the option to share personalized validation of the users, let them see one another. I'd also like to see the capacity to get filters in the table.
I have been using this solution for about two years.
The stability is not so great because when you have to improve your performance, you have to double your storage, so sometimes it becomes very expensive.
When you have to scale up, you must to pay double because you can't just scale up 10 or 15%. You need to double your extra storage, so it's really bad.
The customer support is good, they have great technical support. Sometimes they can't help with some features, but most of the times that we've had a problem, they were able to solve it for us. So, it's good.
The initial setup was straightforward. Really simple. The deployment took about a week.
The reseller was Dell, who was great. I have no complaints about the seller. They have a good number of consultants that know all about Power BI, so getting help was easy.
Licensing is done on a yearly basis, and it is a standard fee.
I would rate this solution an eight out of ten. I would suggest using Power BI with a good detail tool behind it, and just using Power BI as a validation tool, not for the whole BI process.
I would rate the stability of Microsoft BI at 70 percent.
While the solution is scalable, it certainly has its limitations.
I find the solution to be 70 percent stable.
Although the solution comes with limitations, it is scalable.
Technical support is not that bad, fairing in the average range.
The solution is not that difficult to install, although this will vary with the experience of the person responsible for its installation.
There are five people responsible for the deployment, their roles comprising a mixed bag, some of them being managers.
Our customers definitely incur a licensing fee.
The only other cost, besides the licensing fee, would be to cover support.
There are only three customers using the solution at present.
I always offer more than one solution and the person must choose which he feels best suits his needs. All solutions have plusses and minuses and these should be carefully weighed before one decides which one to go with. Once the client has settled on a solution, this is what I will go with. We are talking about Microsoft store. Generally speaking, our clients prefer to make use of Microsoft.
I rate Microsoft BI as a seven out of ten.
This rating is based on what we have observed about the solution thus far, although it may be amended over the next few months as we become more acquainted with it.
The most valuable features of Microsoft BI are the variety of possibilities to connect to various data sources. The visualizations are easily done, have useful rollover functions, and there are continuous updates being made to the system. You can benefit from the various improvements.
I'm missing collaborations functionality to operate or to work connected with multiple people on a data source or on virtualization. There should be more collaborations functions, such as in Confluence. We haven't explored the solution sufficiently in this area, but at this time it doesn't look sufficient.
I would want one platform, which can be used for top management meetings where you see and comment on the data. That would be a perfect combination. Everybody has access, sees the status, the data, and the comments, and that will make life easier for us.
I have been using Microsoft BI for approximately three years.
Microsoft BI is stable.
I have found Microsoft BI to be scalable.
The technical support from Microsoft has been good.
The setup is good. Everybody can test and try the solution, it's not rocket science. There is a lot of training and courses available. We decided to have a separate workforce for that purpose which is doing nothing else than Microsoft BI every day in India. It has been very effective.
I rate Microsoft BI an eight out of ten.
I like how the Query Editor lets me manipulate the data, and the available visuals are good. You can do everything using the UI.
Integration with artificial intelligence would help. Humans take time to review the data and eliminate errors. Artificial intelligence based on machine learning and understanding can bring the same functionality.
I've worked with Microsoft BI for a few years.
Power BI has been stable so far.
Power BI is scalable.
I haven't called technical support about Power BI. I've consulted the documentation when necessary and checked blogs to rectify my issues.
It's fairly easy to set up Power BI.
I think the price is fair, but I can't speak for most Indian customers.
I rate Microsoft Bi nine out of 10.
I work in fraud analytics in the insurance industry and use Power BI for broader and high-level reports. We also do some fraud detection, and our output is sent to a Power BI dashboard for various clients to see. It's basically our visualization tool organization-wide.
The most valuable feature is the infinite possibilities when it comes to visualizations. If a particular visualization is not available as a default or in the market, you can just load in a Python nr script and get a visualization from that. It's very flexible in that respect and opens up a plethora of opportunities. The huge number of connectors that are available is also a big advantage - BI can connect to various things, even competitors like Google's Data Studio, and it is even able to connect to various Google data sources and be a powerful alternative to Data Studio. It's also a data modeling tool, so it keeps everything within the app, which is really convenient, allowing the pipeline to complete itself in a more fluid way.
In the next release, I would like Microsoft to include some inbuilt machine learning so that it becomes point-and-click, rather than us developing models out of API and BI connecting to that and getting the results. That process gets in the way of continuity.
I've been using this solution for two years.
Power BI's stability has improved in the last few years and now seems pretty good, especially with R.
I don't know if BI is directly scalable, but we used a lot of aggregated marks in order to make sure it is able to work with a huge number of roles in the data set. Microsoft demonstrated that they were able to achieve up to one trillion rows, and we haven't got there, but we did get close.
Previously we used Excel, which took a long time - two or three weeks - to bring the data into a uniform format, whereas BI can do the same job in a day.
If you're on Azure, Power BI is tightly integrated with many of the products. And even if you have a non-Azure solution, the family of connectors for data sources is wide, so you can fit it in many places. I would rate BI as nine out of ten.
We are a solution provider and Microsoft BI is one of the products that we implement for our customers.
Microsoft BI is easy to implement, as it is a web-based product that doesn't need to be installed.
This product has a lot of features and most of them are user-friendly.
The visualizations are pretty easy to create. In fact, if you want to create anything new, it is pretty easy to do.
The reporting capability is good.
There is no column-level security in Microsoft BI, and this is a feature that most of our customers are looking for. That is something that should be implemented.
I have been working with Microsoft BI for between six and seven years.
This is a stable product.
Microsoft BI is scalable.
We also use Oracle BI.
The implementation process is pretty easy.
Both cost-wise and implementation-wise, this product is a good choice.
This product is good in terms of cost, it is pretty easy to implement, and I can recommend it for those features and the reporting.
Overall, the product is good but there are a few limitations.
I would rate this solution a seven out of ten.
I use this for its analysis service.
I find Power BI's reporting feature the most valuable. The solution has improved a lot. There are new features getting added day by day. In the past, they didn't even have the printing feature, but now they have it.
Every tool has room for improvement. Microsoft also has a lot of room for improvement. If you look at the new tool, even though they promised that you could do data modeling, that you could do everything from the Power BI side, if your data is really large in volume, sometimes it doesn't work on the Power BI. More feature testing from their side would certainly help users.
I've used this for eight years. I've used this solution within the last 12 months.
This solution is stable. It's a nice solution to have.
This solution is very much scalable.
Technical support is good. It's not really very helpful sometimes, but it is good.
We previously used a different solution for a different location, a different customer. If a customer decides to go for one vendor, they stick to that vendor, so changing a vendor is not an option most of the time.
Initial setup is straightforward, but it depends on the business case. It's straightforward, but sometimes it is complex, but compared to any other tool, the setup for this solution is straightforward.
My experience with them is okay.
I wasn't able to evaluate other options before choosing because it was already chosen by the customer.
Deployment for this solution in our organization is mixed: on-premise and through Microsoft cloud.
If you have a source on the Microsoft side then it's always easier to use one vendor for end-to-end solution. Even if there are some other sources, Microsoft has a big and varied area. Take the reporting ETL analysis as an example, everything's built as part Microsoft. It's always good to have one vendor than multiple vendors.
How long deployment of this solution takes all depends on how much data you have. Sometimes it takes a long time if you have a billion rows of data e.g. it could take hours. It also depends on the architecture. It depends on so many things.
There are a hundred users of this solution in our organization. The real users are customers who require reporting to make business decisions. Mostly the users are business analysts.
This solution is pretty much automated, so no maintenance. For AD, some are there as a team, so they help.
No plans of increasing usage of this solution. Maybe in the future, but not right now.
My advice to other people looking into implementing Power BI is to go for it. It's one tool that has everything, and they should always try to evaluate Microsoft compared to open source. Like in open source, you'll always have a lot of libraries, a lot of different tools that you would be using. It's great to try Microsoft Suite because at the end, you'll only have to deal with one vendor so maintenance will be less.
The lesson that I have learned from using Power BI is to try it out. Don't just rely on the features and promises about the solution. You first try it out, then share your experiences with the customer.
My rating for this solution would be seven or eight out of ten because it has everything in it and I don't see anything missing in it. It is efficient for our needs.
We use this data visualization tool for the business to understand data in a graphical manner. It is similar to Tableau, a tool also used for data visualization. A tool like this is used mostly by the leadership team to make decisions.
Power BI allows you to create user-defined charts which is really useful.
The Power Query button in the power tabs is a unique selling point and is very useful.
The UI is the main improvement that could be made. Specifically, there is something called DAX, in Power BI, which is complicated compared to calculated fields used in Tableau.
I have been using this solution for six months.
This is a stable solution.
This is a scalable solution. We have 500 users.
The initial setup was easy.
The main difference between Power BI and Tableau is the cost. Power BI is much cheaper. Tableau is the best BI tool that I've worked on and is easier for developers to work with. However, there are many things that can be done in Power BI which can't be done in Tableau.
If you're starting working with Power BI, then I would suggest first getting experience with the free version of Tableau to understand and learn about data visualization. From there, moving to Power BI will be much easier as the tools are so similar.
I would rate it a nine out of ten.
We are implementing it for dashboard presentation. For example, one of our customers is in the energy sector. Another one is in the government sector, so it's dashboards mainly.
The ability to create dashboard presentations for various sectors is a valuable feature. It's an excellent product.
We would like it if they added more Python libraries in the Power BI service. For Power BI service right now, you can use Python, but it is limited to a few libraries or a few packages from Python. Other than that, it's an excellent product.
Another area that could be improved is maybe more extensions or more visuals.
I have been working with Power BI for four or five years. I am working with the latest version. It's a monthly release.
The solution is stable.
Microsoft BI is scalable.
I would rate this solution 9 out of 10.
For someone who is looking into implementing this product, my advice is to check between the two versions because Microsoft Power BI is not one solution. You have one solution which is coming with SQL services on-prem and you have the cloud solution. You need to check because there are differences in the features. Anyone who is implementing Power BI needs to be careful on which platform they're using: on-premise or on the cloud. There is a difference in the features between the two solutions.
