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Power Pivot, formerly known as PowerPivot (without spacing), is a self-service business intelligence feature of Microsoft Excel which facilitates the creation of a tabular model to import, relate, and analyze data from a variety of sources. Power Pivot extends a local instance of Microsoft Analysis Services tabular that is embedded directly ...
Microsoft Power BI is an interactive data visualization software product developed by Microsoft with a primary focus on business intelligence (BI). [7] It is part of the Microsoft Power Platform . Power BI is a collection of software services, apps, and connectors that work together to turn various sources of data into static and interactive ...
A pivot table field list is provided to the user which lists all the column headers present in the data. For instance, if a table represents sales data of a company, it might include Date of sale, Sales person, Item sold, Color of item, Units sold, Per unit price, and Total price. This makes the data more readily accessible.
OLAP clients include many spreadsheet programs like Excel, web application, SQL, dashboard tools, etc. Many clients support interactive data exploration where users select dimensions and measures of interest. Some dimensions are used as filters (for slicing and dicing the data) while others are selected as the axes of a pivot table or pivot chart.
Excel is typically used for less data and Power BI is more complex. Power BI can be used to display trends over time. For example, a company can create a time plot that shows its costs and revenues over a certain period. The data can then be arranged to show per day, month, quarter, year, etc. This requires simple formatting tools so the data ...
Among their many uses, business intelligence tools empower organizations to gain insight into new markets, to assess demand and suitability of products and services for different market segments, and to gauge the impact of marketing efforts. [4] BI applications use data gathered from a data warehouse (DW) or from a data mart, and the concepts ...
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Data analysis; Data assimilation; Data binning; Data classification (business intelligence) Data cleansing; Data clustering; Data collection; Data Desk – software; Data dredging; Data fusion; Data generating process; Data mining; Data reduction; Data point; Data quality assurance; Data set; Data-snooping bias; Data stream clustering; Data ...
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