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How to Use AGGR () function in Qlikview?
AGGR() is an advanced aggregation function used on a Qlikview dashboard. It has features like set analysis, rank(), concat() and firstsortedvalue().
Sunil Ray 25 Jun, 2019 -
Boon from big data or loss of privacy?
Article lays out an internal debate an analyst faces from benefits of big data vs. compromise on end user privacy and how to avoid it.
Kunal Jain 24 Apr, 2015 -
Starting a big-data analytics practice? Answer these 5 questions first
This article lays out 5 questions every sponsor should answer before starting a big data analytics practice, business analytics.
Kunal Jain 24 Jun, 2022 -
Tips to Crack a Guesstimate (with Multiple Analytics Case Studies)
What are the tips and techniques used to Crack guess estimate puzzles? Guess estimates are commonly asked in Analytics & consultancy interviews.
Tavish Srivastava 25 Jun, 2019 -
Extracting right variables for your Regression model
This article explains the methods used in the industry for generating an exhaustive list of regression variables for your regression model.
Tavish Srivastava 25 Jun, 2020 -
How to create waterfall chart in Qlikview?
This article demonstrates what is a waterfall chart, how to create waterfall charts in Qlikview, waterfall chart template and use them for any gap analysis.
Sunil Ray 17 Apr, 2015 -
How do banks identify the next best product need of its customer?
This article will take you through how using big data, banks predict the next best offering for its customers.
Tavish Srivastava 18 Apr, 2015
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Diagnosing residual plots in linear regression models
This article lays out how to validate assumptions in a linear regression model. Learn about residual diagnostics and residual plots in linear regression.
Tavish Srivastava 21 Nov, 2024
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4 tricky SAS questions commonly asked in interview
SAS is highly capable of data triangulation, and what distinguishes SAS from other such languages is its simplicity to code.
Tavish Srivastava 25 Jun, 2019 -
5 Simple manipulations to extract maximum information out of your data
This article lays out a list of 5 simple manipulations which will help you to extract maximum possible information for your datasets. Try now !
Kunal Jain 28 Apr, 2015
