Four types of analytics

The page was retrieved from the browser history by using the Back or Forward button. The value is interesting, because it is quite undocumented. In tests, it seems to only emerge with the Firefox browser, when the page goes through a client-side refresh, either using window.

Four types of analytics

Normal distribution of residuals Equal variance of residuals Linearity — we draw a scatter plot of residuals and y values.

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Independence — we worry about this when we have longitudinal dataset. Longitudinal dataset is one where we collect observations from the same entity over time, for instance stock price data — here we collect price info on the same stock i. We generally have two types of data: Cross -sectional datasets are those where we collect data on entities only once.

Four types of analytics

In cross sectional datasets we do not need to worry about Independence assumption. If the residuals are not skewed, that means that the assumption is satisfied. Even though is slightly skewed, but it is not hugely deviated from being a normal distribution.

We can say that this distribution satisfies the normality assumption. We look at the scatter plot which we drew for linearity see above — i. If the residuals do not fan out in a triangular fashion that means that the equal variance assumption is met.

In the above picture both linearity and equal variance assumptions are met. It is linear because we do not see any curve in there. Linearity assumption is violated — there is a curve.

The Four Types of Data Analytics | Drawing Conclusions in Data With BI

In the picture above both linearity and equal variance assumptions are violated.Page Timings Distribution Report Avg. Document Interactive Time. This is the real hidden gem in Google Analytics site speed reports.

I think it’s so important that it should be part of the site speed overview report and not nearly hidden like it is now. Expressly designed for use in a business context, Business Chemistry draws upon the latest analytics technologies to reveal four scientifically based patterns of behavior.

The 4 primary Business Chemistry types are: Pioneers seek spark energy and imagination.

Fundamentals of Descriptive Analytics

Drivers seek generate momentum. Descriptive Analytics, the conventional form of Business Intelligence and data analysis, seeks to provide a depiction or “summary view” of facts and figures in an understandable format, to either inform or prepare data for further analysis.

Which teams are working the angles best? Which have embraced data the most? In the four major pro leagues, we ranked the 10 teams leading the way in putting analytics to good use. Those four types are Descriptive, Diagnostic, Predictive and Prescriptive.

(Some definitions of business analytics focus on three types by eliminating Diagnostic.) Descriptive Analytics.

Descriptive analytics describes what already happened, or what’s currently happening. Big data is one of the misunderstood (and misused) terms in today’s market.

Four types of analytics

But with a clearer understanding of how to apply big data to business intelligence (BI), you can help customers navigate the ins and outs of big data, including how to get the most from their big data analytics.

Four Types of Business Analytics to Know | Analytics Insight