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  2. Data Analysis Expressions - Wikipedia

    en.wikipedia.org/wiki/Data_Analysis_eXpressions

    Data Analysis Expressions (DAX) is the native formula and query language for Microsoft PowerPivot, Power BI Desktop and SQL Server Analysis Services (SSAS) Tabular models. DAX includes some of the functions that are used in Excel formulas with additional functions that are designed to work with relational data and perform dynamic aggregation.

  3. Master of Science in Business Analytics - Wikipedia

    en.wikipedia.org/wiki/Master_of_Science_in...

    The MSBA was a response to the increasing need of complex data analysis beyond traditional use of spreadsheets such as Microsoft Excel. Since 2001, the increasing volume (amount of data), velocity (speed of data in and out), and variety (range of data types and sources) has created a vacuum for talent. [2]

  4. Power Pivot - Wikipedia

    en.wikipedia.org/wiki/Power_Pivot

    Power Pivot allows for importing data from multiple sources, such as databases (SQL Server, Microsoft Access, etc.), OData data feeds, Excel files, and other sources, facilitating comprehensive data analysis within a single environment. [10] The VertiPaq compression engine is used to hold the data model in memory on the client computer ...

  5. Microsoft Excel - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Excel

    Microsoft Excel is a spreadsheet editor developed by Microsoft for Windows, macOS, Android, iOS and iPadOS.It features calculation or computation capabilities, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications (VBA).

  6. How to track your finances: Banking vs. third-party apps - AOL

    www.aol.com/finance/track-finances-banking-vs...

    Banking tools excel at daily monitoring, while third-party apps offer comprehensive analysis and planning features. ... mastering financial tracking requires discipline and smart strategies. Here ...

  7. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]

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