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BV
MI Manager at a recruiting/HR firm with 1,001-5,000 employees
Real User
Extremely responsive and helpful support, easy report modeling, and supports connections with multiple data sources

Pros and Cons

  • "It is good for us for onboarding the data. We can connect to multiple data sources, do transformations to make the data usable, and then model it within the transformation. Someone who has come from a Microsoft Excel environment will easily be able to use this solution. Power query and report modeling are easy to understand in this solution. Their technical support is very good. They are extremely responsive, helpful, and hands-on."
  • "The visual outlet or the visualization aspect can be improved because the settings piece is quite problematic. It requires a lot of time to set the visuals and check. It is quite fiddly to change all the settings and font sizes. It just needs better ability in terms of using templates or visualization templates to get the vision. Our users always benchmark based on the product, and they don't appreciate everything under the bonnet. The only rating is based on the actual reports in the settings for the dashboard. They should make it look a bit funky and a bit more aesthetically pleasing on the eye. It is quite a fiddly tool, but other than that, it is pretty slick. Because it is community-driven, the marketplace tends to be changing forever. You get the standard visualizations, and you've also got all other marketplace visualizations that require you to spend a bit more money and purchase things in the marketplace. With certain visualizations, there is no longevity. I had used certain visualizations, but they discontinued them, and I had to rebuild my reports, which is obviously very frustrating. There should be some sort of stabilization around how the marketplace visuals impact the users when they expire."

What is most valuable?

It is good for us for onboarding the data. We can connect to multiple data sources, do transformations to make the data usable, and then model it within the transformation.

Someone who has come from a Microsoft Excel environment will easily be able to use this solution. Power query and report modeling are easy to understand in this solution.

Their technical support is very good. They are extremely responsive, helpful, and hands-on.

What needs improvement?

The visual outlet or the visualization aspect can be improved because the settings piece is quite problematic. It requires a lot of time to set the visuals and check. It is quite fiddly to change all the settings and font sizes. It just needs better ability in terms of using templates or visualization templates to get the vision. Our users always benchmark based on the product, and they don't appreciate everything under the bonnet. The only rating is based on the actual reports in the settings for the dashboard. They should make it look a bit funky and a bit more aesthetically pleasing on the eye. It is quite a fiddly tool, but other than that, it is pretty slick. 

Because it is community-driven, the marketplace tends to be changing forever. You get the standard visualizations, and you've also got all other marketplace visualizations that require you to spend a bit more money and purchase things in the marketplace. With certain visualizations, there is no longevity. I had used certain visualizations, but they discontinued them, and I had to rebuild my reports, which is obviously very frustrating. There should be some sort of stabilization around how the marketplace visuals impact the users when they expire.

For how long have I used the solution?

I have been using this solution for about two and a half years. We use Power BI Premium, and we have its latest version.

What do I think about the scalability of the solution?

It is scalable once you've got your ducks in a row. We live in a world of fast-paced data. The business I am working in is dealing with a lot of unstructured data, so it has to go through the data onboarding transformation piece. It is more scalable if it connects to a data warehouse, but connecting to an Excel spreadsheet or unstructured data requires enormous amounts of investment. I have seen some other tools that are more data wrangling tools, so you don't want to blur your line. You need to stick to what you're good at. Is it data visualization and modeling, or is it data transformation? They're trying to diversify and make the tool all-encompassing, but we're now having to use a different tool for data transformation or data wrangling. We then just connect it to a data warehouse, and it becomes a really slick and scalable tool.

How are customer service and technical support?

They are very good. They are extremely responsive and helpful. They arrange a call quite quickly, and they actually get on the call and help you and do troubleshooting with you. They are not sending you to the Q&A page. They are quite hands-on in terms of support. So, I am really happy with their support.

What other advice do I have?

I would advise others to just make sure that whatever you're going to deploy can be scaled out. You should get your data modeling in place first. 

I would recommend this solution. They have so many releases every month, which is quite cool. They are keeping on top of it, and it is not like you have to wait six months for a release. I'm still trying to keep up with the releases of the last four or five months.

I would rate Power BI a nine out of ten.

Disclosure: My company has a business relationship with this vendor other than being a customer: Partner
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Hanine Allaya
Data Science Intern at Clockworkx Gmbh
Real User
Top 20
A business analytics solution that handles a large amount of data, but the types of plots you can use are limited

Pros and Cons

  • "I liked that Microsoft Power BI handles a large amount of data. I can handle hundreds of rows from Postgres in a few minutes. I also like how it detects the relationship between the tables without explicitly saying that. It just detects the relationship automatically. That made it easier to work with the data."
  • "It's not really complicated, but I didn't find the things I was looking for. The ones I used to work with within Dash are more open, and there are more choices. But with Power BI, there are only limited types of plots that I can use. For example, when I wanted to put the plots in Power BI, there was no extendable space. You have a limited page where you can place a maximum of three plots in that, and you can't do more than that on a single page. You have to create a new page, a different page for that. That made it a bit annoying, and the filtering part is limited, with basic functions. If you want to make custom filtering or custom functions, you can't do that."

What is our primary use case?

We have some monitoring data from turbines, and we want to plot the data to monitor the health state of turbines in different time stamps. I tried to download some data from the Postgres database and then do some plotting with that. I also tried to link different plots with each other to filter them and things like that.

What is most valuable?

I liked that Microsoft Power BI handles a large amount of data. I can handle hundreds of rows from Postgres in a few minutes. I also like how it detects the relationship between the tables without explicitly saying that. It just detects the relationship automatically. That made it easier to work with the data.

What needs improvement?

It's not really complicated, but I didn't find the things I was looking for. The ones I used to work with within Dash are more open, and there are more choices. But with Power BI, there are only limited types of plots that I can use.

For example, when I wanted to put the plots in Power BI, there was no extendable space. You have a limited page where you can place a maximum of three plots in that, and you can't do more than that on a single page. You have to create a new page, a different page for that. That made it a bit annoying, and the filtering part is limited, with basic functions. If you want to make custom filtering or custom functions, you can't do that.

Suppose you want to code a plot, Python available. You can code the plot you want, and you don't have to use a predefined one. But when you want to plot it and you want to import like five or ten packages in Python, there are limitations. It doesn't support all the libraries that Python has. Microsoft BI only supports a few, like three or four libraries at most. When I want to use my old code in Power BI, it doesn't handle it, and that was also annoying.

In the next release, it'll help if they added a coding area where you are more open to make custom things. Especially for a developer, it needs to be improved. For a Power BI person, it's fine, I think, because it doesn't require much technical knowledge, but a developer will need it. Maybe they should create a space for that.

For how long have I used the solution?

I have been using Microsoft BI for the last three months. 

What do I think about the stability of the solution?

It's stable, but it's so slow. Sometimes it takes some time to respond, especially when you put two or three plots with big data. It becomes very slow.

How are customer service and technical support?

I didn't contact technical support as I used the support on the internet. I'm satisfied with the documentation, but I didn't find what I was looking for.

Which solution did I use previously and why did I switch?

I was using Dash Open Source, but when I discovered that it would take a lot of time, I wanted to define a platform for that. So, Power BI was the solution. Now I want to try Tableau, but I haven't had a chance to do that yet.

What's my experience with pricing, setup cost, and licensing?

I used a two months free trial to see if it had what I needed. I can pay later for a full license, but I don't think I will do that.

What other advice do I have?

On a scale from one to ten, I would give Microsoft BI a six.

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Learn what your peers think about Microsoft BI. Get advice and tips from experienced pros sharing their opinions. Updated: November 2021.
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BG
Data Analytics Specialist at a pharma/biotech company with 10,001+ employees
Real User
Useful for non-engineers and provides helpful insights

Pros and Cons

  • "The most valuable feature is that it's easy to use. It's very useful for non-engineers and it is the ultimate solution for providing information and insights. Power BI is the best visualization tool I have ever worked with."
  • "This solution's performance when handling big data could be improved. Right now, if you're handling big data, the application becomes slow and the performance is very low."

What is our primary use case?

My primary use case of Power BI is to generate dashboards and reports based on past data. Especially for people who aren't engineers, like purely business people, Power BI is helpful because it allows them to analyze and assess their complete business solutions end to end. Power BI provides insights that can help company growth, in terms of revenue and ROI. This solution is cloud-based. 

What is most valuable?

The most valuable feature is that it's easy to use. It's very useful for non-engineers and it is the ultimate solution for providing information and insights. Power BI is the best visualization tool I have ever worked with. 

What needs improvement?

This solution's performance when handling big data could be improved. Right now, if you're handling big data, the application becomes slow and the performance is very low. 

Other than that, their licensing costs could be lowered. Microsoft handles everything. For example, if I want to publish a report order from Powerpay, Microsoft doesn't allow me to do this. It's a complete business, but the licensing is very costly. I don't think Microsoft will change their pricing system, though. 

For how long have I used the solution?

I have been using Power BI for the past five years. 

What do I think about the stability of the solution?

Power BI can handle a maximum of one to four gigabytes of data, but the performance becomes very slow if you handle big data. Since this solution is cloud-based, it's always updated to the latest version. 

What do I think about the scalability of the solution?

The development is very easy because it depends on each computer. Power BI is a desktop solution that you install on your computer. Once I complete my development, I publish through the internet, which the external users are using. The number of users doesn't matter. 

How are customer service and support?

There is a Power BI community, which I'm very happy about. They're there for anything and they're very helpful. In the past, Microsoft has helped us with infrastructure problems. 

Which solution did I use previously and why did I switch?

In the past, I worked with other Python data visualization tools like Dash and Panel. Compared to those tools, Power BI is very easy.  

How was the initial setup?

The installation is very straightforward. I did it myself and it took barely ten minutes. 

What about the implementation team?

I implemented this solution myself. 

What's my experience with pricing, setup cost, and licensing?

You don't need a license for the development, but if you want to publish to external users, you need a license. The licensing is very costly, but I think that since the advantages and benefits of Power BI are so high, people are willing to pay. I can't blame them. 

Which other solutions did I evaluate?

Another visualization tool I've heard of is Splunk, which helps to handle and visualize huge amounts of data. In the future, if Power BI is unable to handle this sort of streaming data, I may consider switching to Splunk. When I extract huge amounts of data with Denodo, Power BI becomes very slow—for example, it takes more time for the display to load. Right now, Power BI can handle a maximum of around one to four gigabytes, whereas Splunk can handle very large amounts of data. 

What other advice do I have?

I rate Power BI an eight out of ten. I recommend this solution because it's the best visualization tool I have ever worked with, but the licensing is costly. 

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Microsoft Azure
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Samuel Kamau
Co-Founder at Beta Edge Technology Limited
Real User
Top 20
Reasonably-priced and promotes collaboration through good shareability features

Pros and Cons

  • "The most valuable feature is shareability, where we can publish work to the cloud and share it with team members."
  • "I think that they can add more types of charts because the selection on the desktop version is limited."

What is our primary use case?

We use this solution to analyze financial statements from our partners.

We build dashboards to see information on a product that is offered by one of our local telcos.

What is most valuable?

The most valuable feature is shareability, where we can publish work to the cloud and share it with team members. If you want to build a dashboard then you can publish it to the cloud, and then add people. This will give them access to the dashboard where they can review it, and modify it as well.

They have a mobile option that allows you to see the dashboard from your mobile phone, rather than having to look at your laptop.

What needs improvement?

I think that they can add more types of charts because the selection on the desktop version is limited.

I would like to see an option for adding audio to the visualizations. 

They need to add support for putting emojis into the dashboards.

For how long have I used the solution?

We have been using Power BI for the past two or three years.

What do I think about the stability of the solution?

In terms of stability, this product has never failed me. I have not experienced any bugs or glitches.

What do I think about the scalability of the solution?

The scalability is good. They allow for multiple types of data sources, so if you grow your databases or you change your data sources, it's easy to add them to the tool visually.

We are a startup with four people, and everybody is using it. We are proposing it to our clients in cases where we are selling analytics because it's a good option for them.

How are customer service and technical support?

I have not had a reason to speak with technical support, although I've looked at the community. They do have additional features that you can download from the site, as well. I have not a problem in terms of support.

Which solution did I use previously and why did I switch?

I used Tableau in 2016, but I decided not to use it in this startup company because they don't have a free option. They do have a trial version, but that expires and I would have to then look for another solution.

With Microsoft BI, they have a free desktop version. 

I have also used Cognos BI before, although it was a bit complicated. This is another reason that I settled on Microsoft BI.

How was the initial setup?

The installation is direct and quite easy to do. The instructions are available online and they are easy to follow.`

What about the implementation team?

I completed the deployment myself.

What's my experience with pricing, setup cost, and licensing?

We are using the free desktop version of this product.

Once the trial period for the BI service is over, the cost is approximately $10 USD per user, per month, so it's quite reasonable.

What other advice do I have?

My advice for anybody interested in using Microsoft BI is to set up the desktop version. It's good to start off with, it's easy to learn, and they get the trial period for the BI service. Then, once they're done with the trial period, I think the licensing per month is quite affordable.

In summary, this is a good solution. It is not perfect, although if they added audio, emojis, and more types of graphs, then it would be.

I would rate this solution a nine out of ten.

Which deployment model are you using for this solution?

Hybrid Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Microsoft Azure
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Sumit_Gupta
BI Consultant at eInfochips
Consultant
Top 20
Easy to use, good inquiry and visual gallery features, and the community is strong

Pros and Cons

  • "This is a self-service BI tool, so it doesn't require a huge amount of technical training, knowledge, or a background in BI in order to induct new people into it."
  • "A lot of people work on Excel, so being able to export an Excel file as part of a subscription would be an improvement."

What is our primary use case?

We primarily use Power BI for data science solutions.

How has it helped my organization?

This is a self-service BI tool, so it doesn't require a huge amount of technical training, knowledge, or a background in BI in order to induct new people into it. This is true even for business people who want to do a little bit of self-service. The whole thing has become quite simplified, as compared to what it was.

What is most valuable?

There are many good features in this product.

The most valuable features are a combination of the DAX and the inquiry capability, plus the visual gallery that we have. I think that these three things, or the combination of them, is the best that we have found.

What needs improvement?

I would like to have the capability to schedule exports in different versions. For example, if I want to schedule a subscription and attach an Excel file, we don't have this capability right now. A lot of people work on Excel, so being able to export an Excel file as part of a subscription would be an improvement.

For how long have I used the solution?

We have been working with Power BI for more than five years.

What do I think about the stability of the solution?

Overall, it is pretty stable. The cloud version is definitely very stable, and I have found very few flaws or areas for improvement. We have been using it for more than five years and we have every intention to continue with it.

What do I think about the scalability of the solution?

It has been pretty nice for us, in terms of scalability. There hasn't really been a problem, as such. We have approximately 300 users.

How are customer service and technical support?

Technical support from Microsoft gets a big thumbs up from me. They have blogs, a support page, and the community is very active. Most of the answers we need, we find them there. 

With this amount of information available, we don't need to use technical support extensively. When we do post something on the blog or in the community, the response that we get is pretty prompt.

The last time we utilized technical support was when we were investigating creating a subscription with an Excel file attached to it. We found out that it isn't yet possible with the current version.

How was the initial setup?

The initial setup is straightforward, to say that least. It took just a few days to deploy.

What's my experience with pricing, setup cost, and licensing?

The pricing is very reasonable compared to any other tool.

What other advice do I have?

My advice for anybody who is considering this tool is that if you want to move to a self-service BI, this is probably the best tool available right now. The self-service is pretty good in terms of os user acceptance, usage, and simplicity. It is something that everybody wants and Power BI does really well in that area.

The biggest lesson that I have learned from using Power BI is that if the data is not according to what you want, that really isn't a problem. It has been a problem in the past, especially where the data is not in the form or the shape that you need, but with Power BI, that problem can be solved very easily.

I would rate this solution an eight out of ten.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Microsoft Azure
Disclosure: I am a real user, and this review is based on my own experience and opinions.
SH
Project Manager at a computer software company with 5,001-10,000 employees
Real User
Top 20
User-friendly with a straightforward setup and good stability

Pros and Cons

  • "The initial setup is pretty straightforward."
  • "It seems that the solution could use more analytics to help users draw more contextual business insights. Right now, you need other solutions for that."

What is our primary use case?

We primarily use the solution to run our industry reports. We get the data from data warehouse we are creating. I use it to export the data.

We have been using Microsoft BI for one of the customers. That was completely in the customer environment. That's all. We did not have that solution for us in-house. However, we are working towards introducing it for our own purposes in the near future.

What is most valuable?

The product is very user-friendly.

The solution can be used with any BI tool you have.

The initial setup is pretty straightforward.

The solution has been very stable for our customers.

It appears the solution has the capability to scale, although we have yet to try to do so.

What needs improvement?

We have yet to implement the solution completely. We're still exploring features and capabilities. It's too early to discuss items that may be lacking.

It seems that the solution could use more analytics to help users draw more contextual business insights. Right now, you need other solutions for that.

For how long have I used the solution?

I've been using the solution for the past five years now. It's been a while.

What do I think about the stability of the solution?

The product has been quite stable so far. The performance is good. It's reliable. There aren't bugs or glitches. It doesn't crash or freeze.

What do I think about the scalability of the solution?

 We have not attempted to scale the solution yet. We are in the initial stage of exploring different features on it. We believe it to be a scalable product, however, we have not attempted it ourselves yet. We might in the future.

We don't have any customers on the solution right now as we are just trying to figure things out.

How are customer service and technical support?

We haven't used technical support. I wouldn't be able to speak to how helpful or responsive they are. 

Which solution did I use previously and why did I switch?

We are also using Tableau. We use Tableau right now, and we are likely introducing Microsoft BI in-house in the near future. For now, we just have customers that use it.

How was the initial setup?

We found the initial setup to be straightforward. It's not a difficult implementation and I wouldn't describe it as complex. A company setting up the solution for the first time shouldn't have any problem doing so.

What's my experience with pricing, setup cost, and licensing?

We're still in the process of licensing the model. We don't have it set up yet. My understanding is that we will pay for licensing on a yearly basis. I don't have the exact figures in terms of the costs.

Which other solutions did I evaluate?

Right now, I am looking to do a comparison between Tableau, Power BI, MicroStrategy, and Pyramid Analytics. I have not had a chance to really dig too deep into research.

What other advice do I have?

We are just customers and end-users. We don't have a business relationship with Microsoft.

We are using the most recent version of the solution at this time.

We're still exploring the solution and haven't fully implemented it yet.

I would rate the solution at an eight out of ten. It's very user-friendly and so far I have had a good experience.

Which deployment model are you using for this solution?

Private Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Microsoft Azure
Disclosure: I am a real user, and this review is based on my own experience and opinions.
TB
Solutions Architect at a tech services company with 11-50 employees
Real User
Multiple datasets synchronization, visual customization, and reliable

Pros and Cons

  • "The capability to add custom visuals and create Power BI apps. You can package datasets, synchronization details, and dashboards into a single app."
  • "They asked you to pay if you want to synchronize more than eight times, you would have to go to a Power BI enterprise license, which is much more costly."

What is our primary use case?

The solution is a dashboard. We have the on-premises data gateway, which allows us from the Azure Cloud to get into Power BI. The dataset content comes from the on-premise data warehouses.

We have produced historical analytics and KPIs from ServiceNow for Incident management, performance, SLA coverage, trends, and identifying anomalies. Anomalies are, for example, if a ticket is reopened, that means it was closed incorrectly or the solution was not correct. If a ticket has been an incident or a request has been routed more than two times, that means somewhere in the processes it was not clear and the ticket is going in circles out to the anomalies data.

A lot of analytics based on ServiceNow and Gyra as ITSMs systems. There is also combined analytics between Salesforce and for example, Web analytics, Google Analytics, and so on. Allowing us to see how visits to the website translate into lead opportunities. This is done by combining the two, extracting them and combining the two sources of data, such as Google Analytics and Salesforce.

What is most valuable?

Some of the most valuable features of this solution are the ability to take your data and have the possibility to combine them into datasets and have synchronization. 

You are able to synchronize the data without additional cost eight times a day and you can set when you want to synchronize it. For example, during business hours, we synchronize the data once an hour and during the night I do not synchronize it at all. 

The capability to add custom visuals and create Power BI apps. You can package datasets, synchronization details, and dashboards into a single app.

Microsoft is open to suggestions for improvements in future releases. We requested to allow Python Notebooks to be displayed as visuals on top of the datasets, which now available and was not five versions ago.

What needs improvement?

The possibility to synchronize more often without having to pay more would be great. They asked you to pay if you want to synchronize more than eight times, you would have to go to a Power BI enterprise license, which is much more costly.

For how long have I used the solution?

I have been using the solution for three years.

What do I think about the stability of the solution?

I have found the solution to have high performance and to be reliable.

What do I think about the scalability of the solution?

The solution is highly scalable. We have approximately 100 people using the solution in my organization.

How was the initial setup?

The solution is a service, which does not require a traditional installation. However, there is a large configuration portion. It can be very simple to configure minor operations but can become complex if you connect via Power BI, a lot of sources.  For example, from on-premise and from multiple clouds. It allows you to go from very simple, to very complex. It is up to your solution design in the end. 

You can create your first dataset in a matter of hours. This once again is dependent on your configuration.

The solution requires maintenance but not to the Power BI itself. The configuration is deployed on top of Power BI, you can set automatic alerts if, for example, the data is not synchronized or It not available.

What's my experience with pricing, setup cost, and licensing?

The price of the solution can be expensive if you want to synchronize your data more.

What other advice do I have?

I rate Microsoft BI an eight out of ten.

Which deployment model are you using for this solution?

Public Cloud
Disclosure: My company has a business relationship with this vendor other than being a customer: Partner
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SureshSrinivasan
Assistant Vice President at a tech services company with 10,001+ employees
Consultant
Top 5
A complete and in-demand solution with good price, integration, and features

Pros and Cons

  • "Most of the clients I am interacting with are looking towards Power BI because of the cost and simplicities. It provides an entire feature set and a complete solution. It has tight integration with Office 365, Dynamics 365, Microsoft Technology Stack, and datatypes like R and Python."
  • "It should be more scalable for an enterprise-level implementation. When you deploy large data sets, the response has to be faster in Power BI. This is one thing that needs to be improved in it."

What is our primary use case?

I lead the data visualization competency. As a competency leader, my responsibility is to make people grow in this technology. It could be Power BI, Tableau, or QlikView. We are service-oriented, and depending upon the demand, we have to have experienced people and a resource pool ready in these areas. Depending upon the requirement, I decide how many people need to be trained or hired.

What is most valuable?

Most of the clients I am interacting with are looking towards Power BI because of the cost and simplicities. It provides an entire feature set and a complete solution. It has tight integration with Office 365, Dynamics 365, Microsoft Technology Stack, and datatypes like R and Python. 

What needs improvement?

It should be more scalable for an enterprise-level implementation. When you deploy large data sets, the response has to be faster in Power BI. This is one thing that needs to be improved in it.

For how long have I used the solution?

I have been using this solution for close to two years.

What do I think about the stability of the solution?

We found no issues. It is an aggregated reporting tool. It cannot handle a detailed level of data. It is meant only for the dashboarding purpose. You need to have your underlying data in an aggregated way, and then it would be faster. It depends on whether you have a live connection or you don't have a live connection.

How are customer service and technical support?

We don't see many issues, but whenever we put a request, they at least respond.

Which solution did I use previously and why did I switch?

I have worked on Tableau. Before Tableau, I have worked with traditional tools, such as SAP BusinessObjects. My team has got experience with Spotfire, but we are not seeing a great demand for Spotfire.

If you ask me for the top three, I would qualify Power BI, then Tableau, and then QlikView. That's the demand that I'm seeing in the market from various customers.

What's my experience with pricing, setup cost, and licensing?

I am satisfied with its price. Its price is very less as compared to Tableau and QlikView.

What other advice do I have?

My first advice is to learn SQL. The foundational knowledge and SQL skills are the most important. You have to be very strong in writing SQL code. You have to improve your mind so that you know what you are writing in Power BI. After that, it is very easy to pick up any front-end reporting tool, such as Power BI or Tableau. After you have good expertise in Power BI, you can slowly learn Python so that you can do good integration. All these efforts would be great for your career.

Being a gold partner of Microsoft for the past few years, we work directly with Microsoft product teams. Sometimes as part of a pre-launch, they also connect with us. If we see a feature or functionality that a client requires, we at least put it across to them. How they prioritize it within their product team is up to them. They prioritize depending on the need of the market and demand from various clients, and they release features accordingly. Sometimes, we also work on a pre-release.

They release new features and functionalities every month. They have also recently released data protection smart narratives. If you look at the Gartner report, they are leading. I see a lot of demand for this solution.

I would rate Microsoft BI an eight out of ten.

Disclosure: My company has a business relationship with this vendor other than being a customer: partner
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