Data Analysis and Power BI

Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains.

Data analytics initiatives can help businesses increase revenues, improve operational efficiency, optimize marketing campaigns and customer service efforts, respond more quickly to emerging market trends and gain a competitive edge over rivals -- all with the ultimate goal of boosting business performance. Depending on the particular application, the data that's analyzed can consist of either historical records or new information that has been processed for real-time analytics uses. In addition, it can come from a mix of internal systems and external data sources.


Microsoft Business Intelligence or Power BI is a suite of business analytics tools to analyze data and share insights. Monitor your business and get answers quickly with rich dashboards available on every device.


Understand your data at a glance


Transform rows of data into visualizations that help you quickly understand the big picture.


  • Quickly identify patterns and trends
  • See the big picture
  • Communicate insights in a way everyone can understand
  • Find insights among multiple data sets from different sources

Identify risks and opportunities


Discover opportunities for more efficiency and identify potential risks—before they impact your business.


  • View all of your data in a single view
  • Create robust, reusable, live models
  • Perform "what if" analyses visually
  • Identify trends visually and react quickly to actual results
  • Gain a deeper understanding with drill downs and live data

Make decisions based on data, not opinions


Share reports and dashboards to get everyone on the same page so your team can act right away.


  • Predict the outcome of different options
  • Use visuals to distill the most pertinent information
  • De-silo data across the organization
  • Analyze data in a way that allows clear insights to emerge