Data Analytics Examples

Power BI is a rich full featured data visualization tool built for both the business and pro IT user. Power BI makes it easy to connect to data and deliver rich interactive visuals that drive results. The samples below are fully interactive. If you are interested in learning more contact our sales team about Power BI development, archtecture and training.

Power BI Static Pool Analysis

"Static pool analysis" or “vintage analysis” has long been used by the financial services industry to evaluate lifetime losses of lending pools and provide, to an extent, the probability of future trends of expected losses. The term “vintage” is sometimes used as an analogy to the wine industry and the rating or quality of wines based on their harvest year. This type of analysis is especially useful when you can identify a large specific group of entities, be it customers, loans, widgets, and can track the key metrics at specific points in time. Though this has been leveraged heavily in the finance industry, it is rarely seen in other industries and could be a new tool in your toolbox to better track your organization’s performance over time.

Power BI Customer Profitability

Customer Profitability Analysis is a tool from managerial accounting that shifts the focus from product line profitability to individual customer profitability. Activity Based Costing looks at the various cost drivers to accurately isolate costs and determine a product’s profitability. In contrast, Customer Profitability Analysis is a method of looking at the various activities and expenses incurred in servicing a particular customer. In other words, it focuses on analyzing profit per customer rather than profit per product.

Power BI Human Resources

HR Analytics, also known as Talent Analytics, People Analytics or Workforce Analytics, enables the HR Manager to go over and above a gut-feel decision and helps the HR manager to take decisive action based on relevant data. More than often most of the data that is required for such an analysis is already there within the organization. This internal data is combined with external data sources to get a complete picture. HR Analytics helps in putting all this data together, marry it with relevant external data and help HR Managers ask relevant questions so as to take better decisions.

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