The way businesses use their data has continuously changed. Once, it was acquired and accumulated in your internal servers. Now, such information has taken on an entirely new dimension within day-to-day operations.

Data is now becoming part of major decisions undertaken by firms in various industries. To accomplish this, visualization tools are needed to transform how your information is used. Since their introductions, Power BI and OLAP Cubes have both added that extra missing component to many businesses.

Yet how can they work together to create the best possible experience for your workplace?

Microsoft Power BI

As a visualization tool, Microsoft’s Power BI can analyze data and create visual dashboards across different programs. You can transfer information from existing sources, generating outlooks catered to specific departments and programs. With combined reports and other features, you’ll gain a better insight into your company.

Yet from the ability to visualize your existing data, several problems can always exist.

For the longest time, most databases were “Relational” and any technology was organized around this. While great at storing information, they were not the ideal setup for changing workplaces. When it came to report generation, these systems took too much time in probing relevant data. The result was severe slowdowns and long delays in gathering what was often needed quickly.

Subsequently, you’d be waiting for these items to be organized, rather than getting information. This would make it harder to find what you’re looking for or develop the right business strategies. The question becomes how to address the multi-layer elements that make up your data clusters?

What are OLAP Cubes?

Into this environment came a new development in workplace data management. This was the creation of OLAP Cubes for your Business Intelligence needs. Short for “Online Analytical Processing,” OLAP Cubes offer the ability to have multidimensional layers to your data. Rather than one single element, multiple layers can be created to correspond to different segments of information.

When retrieving data, you’re engaging in what is commonly referred to as Business Intelligence. The idea being that each piece provides some variable that impacts the rest of your firm. In an OLAP Cube, you’ll have hundreds of potential factors to break your information up by. Rather than a few specific variables, these conform directly to how your business is run.

Each Cube is customizable, offering a more substantial outlook over specific processes than previously before. This allows for easier pattern detection within your information, as everything becomes more noticeable. From this, you can compare data and locate the exact factors driving or preventing your company’s growth.

Power BI + OLAP Cubes

When combined with Microsoft’s Power BI, both tools are linked to create the optimal user experience.

For example, let’s say you’re retrieving monthly sales data comparing five separate products over two years. You have a wide range of factors to review and need immediate information from your sources. The OLAP Cube categorizes, through its multidimensional architecture, large quantities of data. Instead of slowdowns or lost time as it gathers sources, everything’s already updated and ready for use.

At the same time, all of the information is being transmitted to Power BI, linking both together. The data can now be interpreted, modified and structured visually without the need for heavy customizations. As a result, what would take hours to decipher and organize, can be done almost instantaneously.

Similarly, this information will provide the report with an accurate summary of your firm over time. Any detectable trends, or future possibilities, are determinable, giving you the advantage you want over competitors.

Every company wants a new way of seeing what makes them strong and where they can improve. One of the best places to start is reviewing the data inside your very organization’s servers. With the combined power of Microsoft Power BI and OLAP Cubes, that task became a whole lot easier.