1. Power BI is an extremely powerful tool that can help you to drive predictive analytics.
Power BI has:
- A wide range of data connectors: Power BI can connect to a variety of data sources, both on-premises and in the cloud. This makes it easy to access the data you need to perform predictive analytics.
- A powerful data modeling engine: Power BI has a powerful data modeling engine that can be used to prepare data for predictive analytics. This includes the ability to clean data, transform data, and create relationships between different data sets.
By combining the ability of visualization with a seamless API integration, you can deliver real-time analytics to drive the areas of your business that need visibility the most. As markets continue to expand faster and faster, businesses need a predictive tool to drive agile analytics inquiry. Companies can no longer impact decision-making by utilizing data about things that have already happened. They need to be quick to react to changes in the market.
A descriptive, centered analytics model doesn’t provide the forward-looking data organizations need to plan logically. In order to do so, they need to measure the outcomes of past behaviors to see where there is potential to forecast what might happen given a certain set of circumstances. Agile companies need to be able to react quickly to the changing demands of their customers, and Power BI makes that possible.
2. Power BI can help you make better decisions by providing you with accurate and secure data.
Since many organizations have utilized Excel as a business standard for decades, this transition can be much easier for businesses already using the Microsoft technology stack for their operations.
Microsoft Power BI also comes with the security most organizations already take advantage of and trust internally with their data and analytics needs. This added level of built-in trust means a less cumbersome technical integration for organizations looking to scale rapidly with their existing analytics, which are usually limited to prescriptive or even descriptive analytics at best.
It’s a comprehensive platform that offers a wide range of features and capabilities. The tool integrates easily with the Azure Cloud environment to combine predictive analytics with AI modeling technology that is simple to deploy once a predictive analytics framework is established and successful.
3. Power BI can help you to save time and money by giving you predictive analytics visibility in real-time, where and when you need it most.
Reporting is easy to optimize for mobile viewing, allowing internal and external stakeholders to view data on-the-go as well. It has a variety of custom features that are driven by the marketplace of complimentary applications, which can add more value to the already robust Power BI out-of-the-box infrastructure.
Users can even customize their experience and integrate other Microsoft tools where appropriate. This means establishing a comprehensive operations model while optimizing analytics, so they get even more bang for their buck if their organization is an existing Microsoft customer. Power BI has a high degree of flexibility, allowing you to tailor the platform to meet your specific needs.
Organizations of all sizes and functional areas can benefit from the capabilities of Power BI. It can consume a variety of data types to provide the visual outputs necessary for your internal or external stakeholders. Figure 1 below shows an example of an interactive dashboard created using Power BI. Interactive dashboards permit users to get access to the data they need in a way that makes sense to them, which empowers users to drive information sharing and access. Additionally, Power BI leaves room for even the most advanced users by integrating languages such as R into its advanced analytics functionality; plus, the ability to utilize machine learning functionality by building models in Power BI along with the seamless Azure AI toolkit integration.