Microsoft Power BI Embedded

Increased the productivity of the big data analytics team

Increased the functionality of deliverable products

Decreased time-to-market of the products due to fast deployment of analytics

Increasing the ROI of marketing team with increased functionality to perform

None

Reduce the cost of spend money with a lot of licenses.

Is easy to set up the information, so is not necessary to invest a lot of money in training.

Once the application is running and you set up the data, the information is updated in automatic and allows you save employees time.

Real-time statistics for our customers.

Easy integration allowing us quick deployment cycle.

Mobile friendly reports, allowing customers to check stats right from their phone.

Microsoft Power BI has had a positive impact on our business objectives by allowing everyone to better understand the data that is being presented. Some people can process numbers and charts easily, but interactive visualizations can aid visual learners and just makes the dashboard look a lot nicer with the ability to dive deeper into the numbers (through visualizations). Thus, engagement and understanding have improved.

One negative impact is that there is a rather steep learning curve since Microsoft Power BI's language (DAX/M) can be quite different from traditional Excel. Because of that, either you need to hire people who are specialized in Microsoft Power BI, or you need to account for the fact that they will need to be trained (or take time to learn it). Thus, there can be direct costs from hiring new people, or indirect costs through training/employee taking time to learn the software.

Another positive impact of Microsoft Power BI is that it got us thinking about how we can be better as an organization in terms of laying out our raw data, organizing data, conducting research into better metrics we can track and report on, etc. Because Microsoft Power BI made the presentation/visualization (+ regular updating/maintenance) part of our dashboard easier for us, we were able to start thinking about additional metrics and additional ways we can improve our reporting.

The cost.

Takes time to load.

People need to get used to it.

Dashboard for manufacturing kpi

Real-time production variance analysis

Capability to integrate multiple departments

Saved a significant amount of time for reporting current rollout status to project stakeholders

Project stakeholders were able to view the live dashboards at any time so felt they had a better understanding of the rollout status

Project stakeholders found it beneficial that they were able to set their own filters. For example, to view rollout status for their own departments.

Time Savings in not using Excel to import and build out data visualization

Real time stats on our phone metrics

Quick insights on our case backlogs

saving time, because users can understand information better

better communication of information compared to simple data tables

Creates ease of reports for end users

Able to see PnL with statistical data

Costs can be high