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Martin A Esser-Munera

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Cloud Based Analytics

MIS2502 Data Analytics: A write up on Cloud Based Analytics

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Cloud based analytics is a term coined to describe the technological, and analytical tools organizations and businesses can utilize to extract information from their own big data to derive solutions to business problems. Cloud analytics uses cloud related computing, or a network of remote servers hosting data elsewhere that can be accessed from any platform with an internet connection, rather than held locally, for example on one’s own computer.  In the extraction of said data third parties or even internal departments of companies and organizations can perform sophisticated multiple variable analysis to better understand complex business problems or even predict certain outcomes. The reason companies choose cloud based analytics rather than just general data analytic solutions are the financial drivers. Things like minimized hardware and infrastructure cost, minimal implementation costs, and low administrative costs. Cloud based analytics could answer questions like, “where are my customers coming from and what do they usually buy?”, “who are my most valuable customers?”, “who is likely to be committing tax fraud?” etc. Cloud analytics are important because of how well they can be used to predict future patterns and likely outcomes. Overall the integration of cloud computing and advanced analytics allows organizations to more effectively function, create new value, and most importantly make the best possible business decisions.

MIS2502: Data Analytics, has covered a broad array of data analytic techniques and programs. R Studio specifically was used during the course to effectively use decision trees and predict future outcomes of customers.  This is a great example of data analytics and how it can be used. Cloud analytics sits one level above what MIS2502 has taught. The integrated use of cloud computing and data analytics allows us to even broader explore options and more easily access out data and information from anywhere, on anything, at any time.

A great real life example of the use of cloud based analytics is captured by the IT Computer company Hewlett-Packard. Chief Information Officer, Ralph Loura, of HP used cloud based analytics to better understand HP’s service IT costs. Previously if HP wanted to see how much it cost to run its supply chain ERP software, staff would pull data from a database and then correlate it with billing data, dump the results into an excel spreadsheet and present it to management. Now with the implementation of cloud analytics, Loura can calculate with a few button clicks the costs of anything from data hosting to supply chain applications.

The importance of cloud computing may not yet be evident to an everyday consumer like you or I, but in time the general public will come to understand the predictive power behind cloud analytics.

References

Boulton, Clint. “CIOs Turn to Cloud-based Analytics to Manage IT Asset Costs.” CIO. CIO.com, 23 Oct. 2015. Web. 11 Apr. 2016.

“Cloud Analytics.” BoozAllen. N.p., n.d. Web. 11 Apr. 2016.

Henschen, Doug. “10 Cloud Analytics & BI Platforms For Business – InformationWeek.” InformationWeek. Informationweek.com, 22 Jan. 2015. Web. 11 Apr. 2016.

“IBM Analytics in the Cloud.” IBM Analytics in the Cloud. IBM, n.d. Web. 11 Apr. 2016.

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