Microsoft usually sells through a partner, most of these licenses, and Microsoft also usually recommends a partner. In our case, we did an RFP to bring in the subject matter experts, partners who are certified on Microsoft platforms.

We had a system integrator who came in and helped us deploy and roll out Microsoft 365. As part of that, as I mentioned, we got Microsoft Power BI. 

We are now thinking if we should switch on all the other capabilities of Microsoft Power BI or not.

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Our business units consume it directly from us at the whole bank level; we make it available. If a department needs specialization, they may get consultants or hire people specialized in Power BI, depending on their requirements. They might put in more effort or recruit manpower to bring in the expertise needed by the bank. 

If a team is already well-versed with business analytics professionals, it's straightforward. However, for a team like us, we might send one or two people for a week's training with Microsoft or another provider. It's not a complicated product for small-scale use. For handling large databases, specialized recruitment may be necessary to manage the workload effectively.

Deployment is very efficient. We have a standard packaging team. As part of the desktop image, when people request, it is pushed through Microsoft SCCM. Packaging takes some time, which is standard across all products. 

When people request, it's automatically pushed. So it's all automated for us. From an end-user perspective, it's very transparent, auto-provisioned on demand.

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We used our own team. Its deployment and maintenance are taken care of by a PM and a colleague of mine. It is very easy. You just press publish, and it's off to the cloud.

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Deployment and maintenance can be efficiently handled by a small team of two skilled engineers. With adequate rights to administer both the core BI services and supporting Azure services, two people can accomplish a significant amount of work.

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We have a Power BI admin administrator that helped us with the initial setup. From the user's perspective, it's pretty easy.

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I'm a part of the team that manages all the projects that are done with Power BI within the company. We guide them and help them with the development and all the architecture.

The number of people required depends on the size of the project. For one of the big projects we have, there are a couple of developers. There is one person for the management of Power BI. We also have 10 to 12 people doing the reports, etc.

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Deployment doesn't take much time, thanks to it being a Microsoft product, which makes it easy to handle compared to other software.

So, it takes just a few hours.

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The company's in-house team did the installation process of Microsoft BI.

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We have a dedicated IT team of two administrators that support Microsoft BI. One of the administrator's full-time job is to manage the Microsoft BI.

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I implemented this solution myself. 

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We do the implementation on our own. We have deep experience in this area, and we have developed two types of processes that we use to deploy our solutions. One is the data approach, where you know all best practices and methodologies are embedded into that thing. That framework gives a hundred percent assurance in terms of the success of that project. We have also developed a presentation layer framework whereby different subject areas are designed with very indicative dashboards and those dashboards can be quickly adapted to any data. That way, rather than starting from scratch, we use this framework which helps us to deploy our solution quite successfully. It's very fast also. We save around 50% to 55% of the time this way.

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It was done in-house.

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Especially for clients, it's important to understand that achieving the desired outcome is not as simple as just completing the task and generating the report.

There are several factors and considerations that come into play. Careful attention needs to be given to the creation process by different stakeholders if you truly want to achieve an exceptional result. 

Even small changes, such as removing certain elements from the selection or adjusting formatting, can have a significant impact on the report. Users may perceive the tool as being the same regardless of these details, but the difference between a subpar report and a high-quality one lies in the expertise and knowledge of the creator.

There are various options available for creating reports, particularly focusing on online reports. However, the foundation of the process lies in Power BI Desktop. Whatever we develop in Power BI Desktop can be published and accessed through a unified platform and tool. 

Data flows enable us to make necessary modifications, similar to working with Power Query and related functionalities. Personally, I find working with Power BI Desktop easier due to its comprehensive features and user-friendly interface.

You can gather data from various sources, including data flows, RBI databases, and SharePoint, among others, and then create and publish your report. While you do have the option to connect to online sources directly, I personally find that working with local data feels faster, at least for now.

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We did it ourselves. We had an individual who worked with it in the past. She picked it up very quickly because she was already trained.

We don't need anybody specific for its maintenance.

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I have an internal team who deployed the entire thing. We did not use any integrators or consultants. 

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We did the implementation of the solution.

For those customers we have that use Microsoft BI on a dedicated server, we have a technical team that does the maintenance.

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We are developers, we can complete the installation ourselves.

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We did not need a consultant or an integrator to handle the implementation. I just played around a bit with it.

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Deployment was completed in-house.

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We used a Microsoft consultant for implementation. Our experience was good. We don't have any maintenance crew.

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We are implementers of this solution and maintain the visualization on the reporting parts, as well as fulfill the business requirements. 

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The first deployment took approximately four months. The data preparation took most of the time, once we got into Power BI we had most of our financial reports in a month.

Part of our implementation strategy was to get the requirements from the customer, documents, information on what they were using before, key performance indicators and other information. Afterwards, we started to build the data warehouse with the requirements in mind. We tried to mimic the reports that they were using before when we were building the Power BI reports. We tried as much as possible to have reports that look similar to the reports to meet our customer's needs.

There is a similarity between Microsoft Excel and Power BI. If you understand one it make the other easier to understand. If you grasp Excel, it is easy to grasp Power BI as a user. We wanted to make it as similar as possible to the Microsoft Excel experience, with the drill-downs and the pivot tables and so forth. I think with the matrix in Power BI, it is more or less similar, it is the same experience. To summarize our implementation strategy, it was to try to mimic the reports as much as possible and then add more features that are available in Power BI.

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You can deploy yourself but of course, in an office, you require an administrator.

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I designed the implementation of Power BI myself as the enterprise architect. I've been supervising the entire deployment and together with Microsoft product support, we've encountered various issues and discussed various situations on how to manage Power BI.

An example of the trouble we faced was that there were various middleware components that we needed to deploy as well. They were deployed but they were not up to the standards that I had identified. We had to upgrade and then patch them up to avoid that happening again.

As of today, we have a team of eight staff, including managers, engineers, and administrators, who handle deployments and maintenance.

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We did not need assistance, we completed it in-house.

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We have our own IT team that handles the installation. They either take the laptop or do the installation remotely. In either case, it's handled in-house and not by integrators or consultants. 

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We had a team of five to six people that handled the implementation in-house.

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We use two Microsoft consultants to do the implementation of the solution.

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Microsoft BI's deployment takes hardly 10 to 15 minutes or less than that. I had to just download and install the solution, as it was a desktop version.

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A company can handle the deployment and maintenance in-house on its own. Or, if they're doing a large-scale project, they might be in need of two engineers.

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We used an integrator for the implementation and they were great. They did a good job. We have approximately three people for the maintenance and support of the solution at the IT level and 20 people using it from Business point of view, with potential increase up to 150. View full review »

It was an in-house job. For its maintenance, we probably have a staff of about 20 people.

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In-house implementation.

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The deployment time varies. Sometimes it takes two days, and sometimes it takes two weeks. If the dashboard has a lot of KPIs, it will take more time. Also, if the data already exists as measures, it's less complicated.

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It requires a little bit of effort, and we needed the help of a consultant.

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From our side we have around 20 people who are responsible for the deployment and maintenance, although I include in this figure not only the technical but all of the administrative staff. We have the trainers and also the people who are working with the technical support to deliver the training.

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Internal Team. It is that easy. However, we did get a third party to do the training to key users for us. The course was tailored to our business. 

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Our deployment was performed by our in-house team of one.

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I had some assistance when I deployed the first time, but I am now able to complete the deployment on my own.

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I did it myself.

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For its maintenance of Microsoft BI, you require only two people. If there are some backend data issues, then you will require a data engineer. However, if the issue is related to the frontend or BI report, then you only need one developer for that.

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It was done in-house with the help of a Microsoft partner. Our experience with them was horrible. We ended up fixing it all ourselves. If five was the top, they were a zero.

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My experience with them is okay.

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It was an in house implementation.

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We did the implementation ourselves. The solution does require maintenance.

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In most cases, the setups are completed by our vendors. We only receive the finished product.

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I can do it on my own. You would require external consultants or in-house experts.

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We are able to handle the implementation process for our clients. 

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We did it ourselves. At the moment, we are not using a consultant. It is intuitive enough for our use, and there is one type of analysis and one type of role. However, in the future, we might require a consultant for customizing the dashboard and the reports and splitting the data according to different roles. We would require analysis of different roles based on different sets of data. For machine learning, we'll surely require a consultant.

For its deployment and maintenance, we have three or four people for each specific competency. Some of them are more experienced in the data that has to be collected, and some of them are experienced in how data can be collected from the in-house server. There are also some people who are more competent in the business domain.

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We were able to install the solution ourselves internally.

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The solution only needs one person to do the maintenance.

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We did the implementation of the solution using two technicians.

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We have a core team that gets training from a Microsoft partner. We then deploy it ourselves. After six months of using this solution, some of the key users get advanced training. 

We also maintain it ourselves. We have around ten people for its maintenance.

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We did the implementation in-house.

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We deployed Microsoft BI in-house. We did not need a vendor team to come in. 

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I'm not sure if we used consultants or integrators. I cannot recall what the process was like. 

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I did the implementation.

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I completed the deployment myself.

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Our technical team completed the deployment. It was all done in-house. Deployment only required two people.

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I used a consultant company to help me do the implementation and it took approximately one month.

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I adopted it in my team, but it was already being implemented across other parts of the company. I just brought it into my department, so I wouldn't be able to tell the time frame for the actual implementation strategy. For my team alone, it probably took me around two months or so.

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There are five people responsible for the deployment, their roles comprising a mixed bag, some of them being managers. 

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We are a reseller of the solution. We did the deployment.

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We used a consultant for the implementation of the solution.

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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.

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We handled everything in-house. We did not need to get a consultant or integrator to assist us. It's pretty easy to do within your existing team.

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I did the implementation of the solution.

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I did the implementation myself. We have three administrators doing the deployment and maintains of the solution.

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Our in-house team took care of implementation. It should take a team of two to three to deploy and maintain Power BI. 

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We deployed this product ourselves. We used the documentation that is available at Microsoft.com.

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We deployed this product ourselves. It is easy to work on.

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Having this solution on the could cloud allows for quick deployment. We could deliver the solution within four to eight weeks depending on the complexity.

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An in-house team implemented it.

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I completed the installation myself. I did not need the help of an integrator or consultant.

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In-house implementation.

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We have a team of approximately 20 people that handle BI operations.

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We used a consultant.

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We did it in-house.

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There are twenty people in the team that handles the deployment and maintenance of our solutions.

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Several projects we implemented through vendors and most we implemented in house. We are more expert than they are.

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