datapine

DECEMBER 28, 2021

1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? If all this is true, what is the problem with statistics? What Is A Misleading Statistic?

Statistics 363

Statistics Advertising Visualization Data mining 363

Smart Data Collective

APRIL 13, 2021

Stolen data can be sold on the black market or used for extortion like in the case of ransomware. Based on figures from Statista , the volume of data breaches increased from 2005 to 2008, then dropped in 2009 and rose again in 2010 until it dropped again in 2011. million (from 35.7 million in 2008). Breach and attack simulation.

Testing 122

Testing Behavioral Analytics Data-driven Big Data 122

Sisense

JANUARY 21, 2020

You’re working for an ice cream company that is about to market a brand new special-edition flavor. This is an example of Simpon’s paradox , a statistical phenomenon in which a trend that is present when data is put into groups reverses or disappears when the data is combined. It’s time to introduce a new statistical term.

Testing 104

Testing Risk Data-driven Statistics 104

bridgei2i

MAY 26, 2020

You know, their distribution channels, especially in growth in emerging markets, are severely strained economically because of their size. So, a lot of even these companies will have to re-engineer their analytics to reflect this new market reality. Anushruti: Right. Anushruti: Perfect. Love the simile, by the way.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

Peter James Thomas

AUGUST 12, 2018

It is entirely feasible that some market event occurs this year ( for example the entrance or exit of a competitor, or the launch of a new competitor product) which would render prior year figures a poor guide. Integrity of statistical estimates based on Data. Especially for all Business Analytics professionals out there (2009). [7].

Metrics 49

Metrics Statistics Data Quality Measurement 49

Domino Data Lab

MAY 8, 2019

That’s a risk in case, say, legislators – who don’t understand the nuances of machine learning – attempt to define a single meaning of the word interpret. Given how so much of IT gets driven by concerns about risks and costs, in practice auditability tops the list for many business stakeholders. Ergo, less interpretable. But I digress.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

SEPTEMBER 29, 2009

One of the ultimate excuses for not measuring impact of Marketing campaigns is: "Oh, that's just a branding campaign." Ideally you'll measure the number prior to your branding campaign, say Feb 2009, and then you'll measure it again during your campaign, March 2009. I love campaigns that Visa runs.

Measurement 128

Measurement Metrics Analytics Marketing 128