Microsoft Power BI: Extending Excel to Manipulate, Analyze, and Visualize Diverse Data. Becker, L. T. & Gould, E. M. Serials Review, 45(3):184–188, July, 2019. Publisher: Routledge
Microsoft Power BI: Extending Excel to Manipulate, Analyze, and Visualize Diverse Data [link]Paper  doi  abstract   bibtex   
This segment of the Sharpest Tool in the Shed column introduces Microsoft’s Power BI software and associated functionality built into recent (2013 and newer) versions of Microsoft’s Excel. Librarians in technical services and other areas can use Power BI to combine, analyze, visualize, and share data from the wide variety of data sources encountered in library operations. As the benefits of visualization in the era of “big data” are widely discussed in the library literature, and Excel is nearly ubiquitous in office environments of all types, Power BI offers a user-friendly—but possibly underutilized—way for librarians to expand their grasp of the data around them.
@article{becker_microsoft_2019,
	title = {Microsoft {Power} {BI}: {Extending} {Excel} to {Manipulate}, {Analyze}, and {Visualize} {Diverse} {Data}},
	volume = {45},
	issn = {0098-7913},
	url = {https://doi.org/10.1080/00987913.2019.1644891},
	doi = {10.1080/00987913.2019.1644891},
	abstract = {This segment of the Sharpest Tool in the Shed column introduces Microsoft’s Power BI software and associated functionality built into recent (2013 and newer) versions of Microsoft’s Excel. Librarians in technical services and other areas can use Power BI to combine, analyze, visualize, and share data from the wide variety of data sources encountered in library operations. As the benefits of visualization in the era of “big data” are widely discussed in the library literature, and Excel is nearly ubiquitous in office environments of all types, Power BI offers a user-friendly—but possibly underutilized—way for librarians to expand their grasp of the data around them.},
	number = {3},
	journal = {Serials Review},
	author = {Becker, Louis T. and Gould, Elyssa M.},
	month = jul,
	year = {2019},
	note = {Publisher: Routledge},
	keywords = {2019, Excel, GENERAL, Microsoft Power BI, OVERVIEW, PROJECT},
	pages = {184--188},
}

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