Microsoft states that Power BI is “a cloud-based business analytics service that enables anyone to visualize and analyze data with greater speed, efficiency, and understanding”
Does this mean Power BI Desktop can also be used for more than just building pretty dashboards? In this session we’ll explore how Power BI can not only be used to democratize BI across the enterprise, but also to democratize Data Science across the enterprise. An introduction to the general Data Science process is included, so no previous knowledge is required. At the end of the session, attendees will
- Know the differences and resemblances between the BI and data science
- Be able to follow the general data science process
- Know how Personal Data Science is an extension of Personal BI (aka: self service BI)
- Know where Power BI can fit into the data science process
- Know how to apply above principles to generate usable output from a personal data science process
- Data science and BI are closer related than you previously thought
- Personal Data Science is the next step forward for the enterprise with Personal BI practices and processes already in place.
- Power BI is the most logical fit as it can connect to a plethora of data sources, has extensive ETL capabilities and has built-in visualization capabilities. Including the upcoming capability to create custom visualizations
- On top of that, Power BI has an incredible rate of development by the MS Product team and it has the potential to fit most enterprise security models.
Jan Mulkens is a Microsoft Data Platform & Business Intelligence Consultant at Ordina Belgium. While his interests are broad, he has a passion for creating data warehousing and business intelligence solutions that help the business get insight in, and take action on, their data. Jan’s main experience lies with SQL Server and the rest of the Microsoft on-prem BI Stack (Excel, SharePoint, Reporting Services, Analysis Services). Recently he also has been digging into Azure and the added value it brings with Power BI and the different parts that make up the Cortana Analytics Suite.
Kimberly Hermans is a Data Scientist at Ordina Belgium. She received her MD as a business engineer at the University of Antwerp after writing a thesis on forecasting within the public biking system “Velo Antwerpen”. In September she started her career at Ordina, where she has worked on Data Science projects within the banking, utility and telecom sector.