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Data Analyst at a tech services company with 11-50 employees
Real User
It is a powerful tool that helps our data analysis processes.
Pros and Cons
  • "It is a powerful tool that helps our data analysis processes."
  • "It would be nice to use other connectors to link with the data."

What is our primary use case?

We use Microsoft BI for all of our data analysis processes.

How has it helped my organization?

In comparison to Excel, this is a much more powerful tool. 

What is most valuable?

It is a very good software solution. It makes life very easy for us. It is easy to grasp, and it is useful. The set-up visualization format was very helpful.

What needs improvement?

I've been working with connecting with the right platforms and we need to use other connectors to link with the data. This would be a nice feature for BI to add in the future. For example, we needed another connector in order to make our Wordpress functional. More options for the connectors are really important for us.

Buyer's Guide
Microsoft Power BI
February 2025
Learn what your peers think about Microsoft Power BI. Get advice and tips from experienced pros sharing their opinions. Updated: February 2025.
837,501 professionals have used our research since 2012.

For how long have I used the solution?

Less than one year.

What do I think about the stability of the solution?

At times it is not stable, and we need to use other connectors to link with the data.

How are customer service and support?

We have not had a need for technical support for this solution.

What was our ROI?

When evaluating a new product, I would first ask my colleagues or other friends that I know based on what their opinions are about the product.  Also, I would be concerned with the level of crashes. The less they crash, the less problems and the easier our life will be. Furthermore, the level of support that the product provides is important, as well.

Which other solutions did I evaluate?

I used Excel and Rapidminer in the past. But, I really like the BI product.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
CTOINBI874 - PeerSpot reviewer
Principal at a tech services company with 1-10 employees
Real User
It allows individuals to do the analysis themselves​
Pros and Cons
  • "It allows individuals to do the analysis themselves​."
  • "Drill-down in dashboards needs to improved. The capability only works in Power BI Desktop today. We need to have an alternative approach today."

What is our primary use case?

Consolidating data from multiple sources and providing dashboards to a broad set of users: Finance, Human Resources, Operations, and Leadership.

How has it helped my organization?

It allows individuals to do the analysis themselves. We are getting adoption beyond original expectations.

What is most valuable?

Most importantly, the dashboards. Recently, we are exploring vendor provided analysis/visuals and the use of R.

What needs improvement?

Drill-down in dashboards needs to improved. The capability only works in Power BI Desktop today. We need to have an alternative approach today.

For how long have I used the solution?

Three to five years.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Buyer's Guide
Microsoft Power BI
February 2025
Learn what your peers think about Microsoft Power BI. Get advice and tips from experienced pros sharing their opinions. Updated: February 2025.
837,501 professionals have used our research since 2012.
Partner at a consultancy with 11-50 employees
Real User
Competitors' products have more functionality, though the self-service aspect is good
Pros and Cons
  • "We can see that it's really improved the way end users can do their own graphs and pick their own fields of information and present that in a nice way."
  • "The way you navigate the product, compared to other products in this industry, that could be improved a bit."

What is most valuable?

The self-service part.

How has it helped my organization?

We are a consultancy firm, helping our clients with billing and business intelligence solutions. We can see that it's really improved the way end users can do their own graphs and pick their own fields of information and present that in a nice way.

What needs improvement?

The navigation. The way you navigate the product, compared to other products in this industry, that could be improved a bit. It's user friendly, but you would like to have it even more user friendly.

When you do selections in one tab in Report, and then you move to the next tab, then you have to do your selections again. So one tab as a global, central selection possibility would help.

If you compare to QlikView, there's still a lot of functionality that QlikView has that Power BI doesn't. For most companies, Power BI is good enough, especially if you consider the price tag it's an easy choice. But it still has some catching up to do to match the functionality in QlikView.

For how long have I used the solution?

Eight to 10 months.

What do I think about the stability of the solution?

It feels very stable. A bit slow sometimes when you change stuff and you want to refresh data and apply it to the data model in your queries. You want to apply that to your reports and dashboards and it can be a bit slow sometimes.

What do I think about the scalability of the solution?

We don't have that experience yet. We still don't know how it is to deploy it in larger scales. So, that's my concern, but I haven't seen the scalability issues at our clients.

How are customer service and technical support?

No, not yet. There are a lot of self-training videos and such out there on the internet and on the Microsoft websites.

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

QlikView and Qlik Sense. We felt demand in the market for Microsoft Power BI. Also, within my company we are selling services around Microsoft Dynamics, and Microsoft Power BI hooks very well into the other Microsoft products.

How was the initial setup?

It was pretty straightforward. Not much to set up. Cloud service and desktop client that you need to download and install, but if you have worked with other similar tools then you and know about that.

Which other solutions did I evaluate?

We are constantly looking for what is hot in the market and this has really come up as a rising star on the BI market, so it was not so much of a question about it at all. Quite obvious.

What other advice do I have?

There are some limitations in regards to the navigation part.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
it_user7845 - PeerSpot reviewer
Consultant at a tech consulting company with 501-1,000 employees
Consultant
My 30 tips for building a Microsoft BI solution, Part V: Tips 21-25
I might just get all 30 done before summer vacation :)

#21: Avoid using discretization buckets for your dimension attributes

Discretization buckets lets you group numerical attributes into ranges. Say you have a customer dimension including the age of the customer you can use this feature to group them into age clusters such as 0-5, 6-10 and so on. While you can tweak how the algorithm creates groups and even provide naming templates for the groups you still have relatively limited control over them. Worst case scenario: A grouping is removed / changed by the algorithm which is referenced in a report. A better way of grouping these attributes is by doing it yourself either in the data source view or a view in the database (there will be a separate tip on this). This way you have complete control over the distribution of values into groups and the naming of the groups.

#22: Do not build a SSAS solution directly on top of your source system

SSAS has a couple of features that enable it to source data directly from a normalized data model typically found in business applications such as ERP systems. For instance you can “fake” a star schema through queries in the data source view. You can also utilize proactive caching to eliminate any ETL to populate your cube with data. This all sounds very tempting but unfortunatly I have never seen this work in reality. Unless you are working with a very small source system with impeccable data quality and few simultanous users you should avoid the temptation for all the usual reasons: Proactive caching will stress your source system, data quality will most likely be an issue, integrating new data sources will be nearly impossible,etc. There is a reason BI projects spend 70-80% of their time working with modelling and integrating data.

#23: Deploy SSAS cubes with the deployment tool

If you are working with multiple environments (dev/test/prod) do not use the deployment functionality of visual studio to deploy to another environment. This will overwrite partitions and roles that may be different between the environments. Use the deployment wizard.

#24: Remember that your SSAS cubes are a single point of failure

Keep in mind that most client tools do not cope well with changes to SSAS data models. Any renames or removals you do in the model will most likely cause clients that reference those entities to fail. Make sure you test all your reports against the changed model before deploying it to production. Also, if you allow ad-hoc access to your SSAS solution be aware that users may have created reports that you do not know about. Query logging may help you a little here (it gives you an indication of which attribute hierarchies are in use). The best way to avoid all of this is to thoughtfully design your cube and the naming of your SSAS objects so that there is no need to change or remove anything in the first place.

#25: Avoid “real time”

“Real time” means different things to different people. Some interpret it as “simultaneous to an event occurring” while others have more leeway and have various levels of tolerance for delays. I prefer the term “latency”: How old can the data in the BI solution get before it needs to be refreshed?. The lowest latency I have ever implemented is two hours. That is hours not minutes. I know this does not sound very impressive but that is honestly the best I have been able to do at a reasonable cost. When doing “real time” you need to consider a lot of factors: Partitioning, changes to dimensions, ROLAP vs MOLAP / direct query vs xVelocity, source system access, how to administer it, etc., etc. These things add up quickly to a point where the value simply does not justify the cost.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
it_user7845 - PeerSpot reviewer
Consultant at a tech consulting company with 501-1,000 employees
Consultant
My 30 tips for building a Microsoft BI solution, Part IV: Tips 16-20
A note about the SSAS tips: Most tips are valid for both dimensional and tabular models. I try to note where they are not.

#16: Implement reporting dimensions in your SSAS solution

Reporting dimensions are constructs you use to make the data model more flexible for reporting purposes. They usually also simplify the management and implementation of common calculation scenarios. Here are two examples:

  • A common request from users is the need to select which measure to display for a given report in Excel through a normal filter. This is not possible with normal measures / calculations. The solution is to create a measure dimension with one member for each measure. Expose a single measure in your measure group (I frequently use “Value”) that you assign the correct measure to in your MDX script / DAX calculation based on the member selected in the measure dimension. The most frequently used measure should be the default member for this dimension. By doing this you not only give the users what they want, but you also simplify a lot of calculation logic such as the next example.
  • Almost all data models require various date related calculations such as year to date, same period last year, etc. It is not uncommon to have more than thirty such calculations. To manage this effectively create a separate date calculation dimension with one member for each calculation. Do your time based calculations based on what is selected in the time calculation dimension. If you implemented the construct in the previous example this can be done generically for all measures that you have in your measure dimension. Here is an example for how to do it tabular. For dimensional use the time intelligence wizard to get you started.

#17: Consider creating separate ad-hoc and reporting cubes

Analysis Services data models can become very complex. Fifteen to twenty dimensions connected to five to ten fact tables is not uncommon. Additionally various analysis and reporting constructs (such as a time calculation dimensions) can make a model difficult for end users to understand. There are a couple of features that help reduce this complexity such as perspectives, role security and default members (at least for dimensional) but often the complexity is so ingrained in the model that it is difficult to simplify by just hiding measures / attributes / dimensions from users. This is especially true if you use a “reporting cube” which I talked about in tip #16. You also need to consider the performance aspect of exposing a large, complex model to end user ad-hoc queries. This can very quickly go very wrong. So my advice is that you consider creating a separate model for end users to query directly. This model may reduce complexity in a variety of ways:

  • Coarser grain (Ex: Monthly numbers not daily).
  • Less data (Ex: Only last two years, not since the beginning of time).
  • Fewer dimensions and facts.
  • Be targeted at a specific business process (Use perspectives if this the only thing you need).
  • Simpler or omitted reporting dimensions.

Ideally your ad-hoc model should run on its own hardware. Obviously this will add both investment and operational costs to your project but will be well worth it when the alternative is an unresponsive model.

#18: Learn .NET

A surprisingly high number of BI consultants I have met over the years do not know how to write code. I am not talking about HTML or SQL here but “real” code in a programming language. While we mostly use graphical interfaces when we build BI solutions the underlying logic is still based on programming principles. If you don’t get these, you will be far less productive with the graphical toolset. More importantly .Net is widely used in Microsoft based solutions as “glue” or to extend the functionality of the core products. This is especially true for SSIS projects where you quite frequently have to implement logic in scripts written in C# or VB.net but also applies to most components in the MS BI stack. They all have rich API’s that can be used for extending their functionality and integrating them into solutions.

#19: Design your solution to utilize Data Quality Services

I have yet to encounter an organization where data quality has not been an issue. Even if you have a single data source you will probably run into problems with data quality. Data quality is a complex subject. Its expensive to monitor and expensive to fix. So you might as well be proactive from the get-go. Data Quality Services is available in the BI and Enterprise versions of SQL Server. It allows you to define rules for data quality and monitor your data for conformance to these rules. It even comes with SSIS components so you can integrate it with your overall ETL process. You should include this in the design stage of your ETL solution because implementing it in hindsight will be quite costly as it directly affects the data flow of your solution.

#20: Avoid SSAS unknown members

Aside from the slight overhead they cause when processing, having unknown members means that your underlying data model has issues. Fix them there and not in the data model.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
it_user7845 - PeerSpot reviewer
Consultant at a tech consulting company with 501-1,000 employees
Consultant
My 30 tips for building a Microsoft BI solution, Part II: Tips 6-10

# 6: Use a framework for your Integration Services solution(s) because data is evil

I know how it is. You may have started your ETL project using the SQL Server import / export wizard or you may have done a point integration of a couple of tables through data tools. You might even have built an entire solution from the ground up and been pretty sure that you thought of everything. You most likely have not. Data is a tricky thing. So tricky in fact that I over the years have built up an almost paranoid distrust against it. The only sure thing I can say is that it will change (both intentionally and unintentionally) over time and your meticulously crafted solution will fail. Best case scenario is that it simply will stop working. Worst case scenario is that this error / these errors have not caused a failure technically but have done faulty insert / update / delete operations against your data warehouse for months. This is not discovered until you have a very angry business manager on the line who has been doing erroneous reporting up the corporate chain for months. This is the most likely scenario. A good framework should have functionality for recording data lineage (what has changed) and the ability to gracefully handle technical errors. It won’t prevent these kinds of errors from happening but it will help you recover from them a lot faster. For inspiration read The Data Warehouse ETL Toolkit.

#7: Use a framework for your Integration Services solution(s) to maintain control and boost productivity

Integration Services is a powerful ETL tool that can handle almost any data integration challenge you throw at it. To achieve this it has to be very flexible. Like many of Microsoft’s products its very developer oriented. The issue with this is that there are as many ways of solving a problem as there are Business Intelligence consultants on a project. By implementing a SSIS framework (and sticking with it!) you ensure that the solution handles similar problems in similar ways. So when the lead developer gets hit by that bus you can put another consultant on the project who only needs to be trained on the framework to be productive. A framework will also boost productivity. The up-front effort of coding it, setting it up and forcing your team to use it is dwarfed by the benefits of templates, code reuse and shared functionality. Again, read The Data Warehouse ETL Toolkit for inspiration.

#8: Test and retest your calculations.

Come into the habit of testing your MDX and DAX calculations as soon as possible. Ideally this should happen as soon as you finish a calculation, scope statement, etc. Both MDX and DAX get complicated really fast and unless you are a Chris Webb you will loose track pretty quickly of dependencies and why numbers turn out as they do. Test your statements in isolation and the solution as a whole and verify that everything works correctly. Also these things can have a severe performance impact so remember to clear the analysis services cache and do before and after testing (even if you have cache warmer). Note that clearing the cache means different things to tabular and dimensional as outlined here.

#9: Partition your data and align it from the ground up.

Note that you need the enterprise version of SQL Server for most of this. If you have large data sets you should design your solution from the ground up to utilize partitioning. You will see dramatic performance benefits from aligning your partitions all the way from your SSIS process to your Analysis Services cubes / tabular models. Alignment means that if you partition your relational fact table by month and year, you should do the same for your analysis services measure group / tabular table. Your SSIS solution should also be partition-aware to maximize its throughput by exploiting your partitioning scheme.

#10: Avoid using the built-in Excel provider in Integration Services.

I feel a bit sorry for the Excel provider. It knows that people seeing it will think “Obviously I can integrate Excel data with my SSIS solution, its a MS product and MS knows that much of our data is in Excel”. The problem is that Excel files are inherently unstructured. So for all but the simplest Excel workbooks the provider will struggle to figure out what data to read. Work around this by either exporting your Excel data to flat files or look at some third party providers.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
it_user4014 - PeerSpot reviewer
it_user4014Developer at a tech consulting company with 51-200 employees
Consultant

Hi Peter !

Let's discuss from point 6 to 10 in here;

#6: I totally agree with you, never trust or undermine the fact that data will be coming in the format as suggested by the ETL Team. There is always a possibility of wrong data types, bad data, switched data, all kind of data to be appear as source data, so as a ETL developer you need to make sure you put data validation checks for each and every case you have in mind. Still you might miss out some cases. The good thing about MS SQL Server 2012 is now they have provided the TRY_CAST function which can be used to avoid casting errors. A craftily designed framework would be handy to have where ETL developers need to know about the framework, so invest on building a framework which can be used across multiple ETL projects. I strongly agreed with your point that data is evil and sometimes is such hard to load single files which have all kind of these bad data validation errors.

#7: Definitely, by having a framework you can save time by not spending your time on writing same piece of code again and again. While designing your ETL, please beware of the data types which you are using, for some people there is slight difference between Float, Decimal & Numeric data type but if you have been writing ETL solutions you know what kind of a mess it would create if you don\t pick up the right data type, same for Date & DateTime data types.

#8: MDX calculation needs to be tested again and again which is called regression testing. All these years i have been building end to end BI solutions, which involves writing complex ETL's, it is like impossible for QA agents to identify the problem in calculations, so while you assign someone task of verifying MDX calculation or just verifying the BI Dashboard output, make sure he has enough knowledge of Data Analysis. He would be proficient enough to query the database and be able to browse the Cube and also perform cross Data Verification. As a BI Consultant I invest much time in training my QA agents to be able to perform this regression testing.

#9: Partition is always a good practice when you are sure that data influx might going to be run into billions of rows. But if you are designing a BI Solution for an organization which might not have this big amount of data under Analysis then you may avoid partitioning.

#10: Strongly recommended, built in Excel provider is going to make you crazy really soon by having it own data type sensing ability, although you can try to turn it off by setting the property of Type Guess = 0, but there are so many problem with excel provider it always sense the data types for each source column.

One thing I need to mention, is carefully designed ETL with customized logging process can save you tons of time while analyzing the cause of data failure. And it's always good to have the ETL logging process which can be shared with your client as well.

Regards,
Hasham Niaz

it_user6663 - PeerSpot reviewer
BI Expert at a transportation company with 51-200 employees
Vendor
Microsoft BI vs. SAP Business Objects

A quick look at the whole idea on another weblogs gives you a sense that all of them just talked about very brief things like report refresh feature in BO or cube feature in MS Analysis Service. I choose MS BI and I want to share my reasons and opinions on why I choose it and give you another quick but a little deeper compare on these two Business Intelligence platforms.

As we all know both Business Objects and Microsoft are big companies who are working on BI solutions and both have their own advantages. It’s not true to compare them in term of which one is better, we have to check what is our requirements and then depend on requirements take the decision whether MS or BO. A vision like this could help us relief from religious decisions against a software or technology.

In a BI architect first of all we have the data store level, I mean the storage of the raw data not the stage or olap cubes or universe data source, I mean the first place of our data. This is important to know that where your raw data is and what is the type of storage used to store them. Whether file system or Access or Fox database or a complex database solution like oracle, sqlserver or a web service can made our place of raw data. We have to check our tools against them; check to see which one gives us a smooth way to transfer them among ETL process to destination. So take a look at what Business Objects gives us.

There is a Data Integration platform in Business objects but the problem is that you have to buy that separately because it is not shipped with the BI system. In Microsoft sqlserver enterprise you have all the services and features needed for this part of the game. SSIS is the service that sqlserver deliver for data extract, integration and load. Both product gives you the ability to enhance the data quality and data cleansing portion of your integration phase, but when we down to details things change a little to the Microsoft side, because of the ability of using your Dot.Net knowledge to write complex parts of ETL process you have more room to think and do whatever you want in your process, and in BO side it is always look simple and it’s really not easy to take complex situation into it. There are advantages and disadvantages on this. First you can do many things with the ability of dot.net code but it could give you complexity in your development so you have to decide on your situation, if things looking normal both could fit your need, but if the situation is not stable and you have to make yourself ready for the changes in future it’s better to get the power of SSIS and spend a little more time development today to create a powerful and easily changeable mechanism that could help you in future. You can also do that with Business Objects Data Integration but you have to spend more bucks for the development and changes of ETL processes because development cost in Business Objects solutions is always a nightmare for a project.

At this point we have a brief understanding of differences in ETL process between two vendors, so it’s good time to take a look back to the source database. Here is a very quick answer, if you use mostly MS products to store your transactional data then take your decision and move to MS for a robust and compatible BI platform. Business Objects don’t have a database system and it always used other database solutions to store data for its universe.

So guess what happen ! from an administrator perspective performance tuning is somehow problematic ! since we should use other database systems we should use different technics for each database systems. And this is one of the areas that MS wins the competition because when you use Microsoft platforms there lots of joint mechanism for performance considerations.

Before the SQL Server 2012 we have SSAS with its famous aggregated cubes, because of the nature of SSAS in previous versions we couldn’t call it a semantic layer, here is a little why. A semantic layer provides translation between underlying data store and business-level language(Business semantic that business users familiar with). There was no actual translation in previous release of SSAS. Perhaps we had some difficulties over SSAS to understand for a business user. So Microsoft change its approach in SSAS 2012 from delivering a complex understandable solution to end users to a true semantic layer like what we has in Business Objects that called Universe. So from now MS BI users can use a powerful toolset like Microsoft Excel and use their existing knowledge to interact with semantic layer. What Microsoft do in backyard is to create aggregations in memory so the performance of this approach is really high ! I don’t want to deep dive into what Microsoft do in backyard in this post but it would be one of my next topics. (sounds like advertisement

I talked about aggregations so know that in BO there are no facility for aggregation tables, so you have to deal with DBAs to create aggregation tables manually and integrate them into the Universe.

One of the important aspects of a BI system is the learning curve of the solution, it was always the slogan of the Business Object that learning curve is very low ! yes for end users it is not hard to interact with Universe. BUT ! the thing that I say here is the problem of every BI platform from Microsoft to BO or Cognos that deliver Semantic layer, it is very easy for a user to get the wrong answer, because everything is behind the Universe or Semantic Model and know that tracking from report back to the base data is a Non-trivial task. So be aware about letting users create whatever they want with their own knowledge. There should always an IT professional observing the whole process. So never think about a fully out of the box solution, because you will shortly find it on Mars ! or your users may have the chance to take decisions based on wrong calculations and find their way to Mars again

Another important aspect of a BI systems is the cost of it, about the Business Objects we can definitely say that it is expensive and for sure Microsoft could be expensive ! but how can we decide ' the answer is to compare the detail parts, there are 4 main parts Database, ETL, Semantic Layer and Reporting or user interaction layer. If you choose to go over BO you have to find heads for your data warehouse, database solution and Java skills or tomcat or other J2EE platform professionals for ETL and development phase and BO specific heads for Universe Modeling, Design, Implementation, perhaps you need security administration and if you want to integrate your Active Directory with this platform it is problematic and integrating with other LDAP platforms is a nightmare ! so be aware of these costs. The point of Microsoft solution is that we can use our in house knowledge like Dot.Net and SqlServer, SharePoint, Windows Server and these knowledge are transferable to other skills. But with BO we need headcount dedicated to BO (Universe Design, Implementation, Maintenance, Security) since BO skills are not transferable to other skills, those extra heads blow the project’s budget ! Microsoft BI platform is a more manageable, more secure and less expensive solution, I see the BO as a consultant dream, as an endless font of billable hours

Conclusion

I decide to go over Microsoft BI platform but I would not suggest anyone at first place to choose Microsoft. This is really depend on the nature and scale of the project and what you did and what technologies you have used in past but a quick look gives an idea that Microsoft’s platform is looking more robust and coherent in different parts so it can be a very good and convenient choice and perhaps after the release of SQL Server 2012 and its BI Semantic layer the answer is more easier and acceptable than before.

I also would like to hear about your experience on either of these solutions.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user

In my experience one area that can get left behind is the distribution of reports. I've yet to find an instance where a company doesn't need to share information with an external party. Having an environment where distribution mechanisms are managed in one place only reduces risk. Here again we find that the MS stack can place more restrictions on end users.

See all 5 comments
Carlos Mardinotto Junior - PeerSpot reviewer
BI Expert at a financial services firm with 1,001-5,000 employees
Real User
Top 5
Fast and user friendly
Pros and Cons
  • "You don't need much support with Microsoft Power BI because it has such a large base of users who can answer your questions on their forums. There are also many video tutorials and webinars available online that offer solutions to whatever problems you may have."
  • "Microsoft is behind IBM when it comes to security features."

What is our primary use case?

I've used it for work I did with three clients in the Brazilian banking sector: 
Bank Bradesco, B&B Bank, and the Regional Bank of Brazil.

What is most valuable?

It's very fast and user-friendly.

What needs improvement?

Microsoft is behind IBM when it comes to security features.

For how long have I used the solution?

I've used Microsoft Power BI for about three years with different clients.

How are customer service and support?

You don't need much support with Microsoft Power BI because it has such a large base of users who can answer your questions on their forums. There are also many video tutorials and webinars available online that offer solutions to whatever problems you may have.

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

I use Cognos Analytics 11 for some projects, but many of my clients prefer Microsoft Power BI because it is less expensive.

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.
PeerSpot user
Buyer's Guide
Download our free Microsoft Power BI Report and get advice and tips from experienced pros sharing their opinions.
Updated: February 2025
Buyer's Guide
Download our free Microsoft Power BI Report and get advice and tips from experienced pros sharing their opinions.