Occam's Razor

SEPTEMBER 19, 2011

You need people with deep skills in Scientific Method , Design of Experiments , and Statistical Analysis. The team did the normal modeling to ensure that the results were statistically significant (large enough sample set, sufficient number of conversions in each variation). * ask for a raise. It is that simple. Okay, it is not simple.

Measurement 120

Measurement Advertising Testing Marketing 120

Rita Sallam

JULY 22, 2016

Like when Oracle acquired Hyperion in March of 2007, which set of a series of acquisitions –SAP of Business Objects October, 2007 and then IBM of Cognos in November, 2007. Gartner revamped the BI and Analytics Magic Quadrant in 2016 to reflect the mainstreaming of this market disruption.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Peter James Thomas

JUNE 20, 2019

Of course it can be argued that you can use statistics (and Google Trends in particular) to prove anything [1] , but I found the above figures striking. Feel free to substitute Data Lake for Data Warehouse if you want a more modern vibe, sadly it won’t change the failure statistics. . [5]. – Gartner 2007. “60-70%

Cost-Benefit 55

Cost-Benefit Data Warehouse Data Science Consulting 55

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

The Unofficial Google Data Science Blog

JULY 18, 2023

It then goes on to show how a new framework called cross-replication reliability (xRR) implements these concepts and how several different analytical techniques implement this framework. In what follows, assume we have a large number of items and people, so that the measures have little statistical uncertainty.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Smart Data Collective

OCTOBER 12, 2022

Data analytics technology has proven to be very useful for the real estate sector. In order to make the most of data analytics in the real estate sector, it is important to be familiar with the different tools and types of data that can be used. Data Analytics is Transforming the Real Estate Sector. Statistical Atlas.

Marketing 133

Marketing Data Analytics Analytics Big Data 133

Occam's Razor

FEBRUARY 6, 2018

Your recent audit of the output of your analytics organization found that 160 analytics reports are delivered every month. A small statistics detour. Take this image from my January 2007 post: Analytics Tip #9: Leverage Statistical Control Limits …. You have to be deeply analytically savvy.

Strategy 266

Strategy Metrics KPI Dashboards 266

Grooper

AUGUST 19, 2019

Choosing the right analytics solution isn't easy. Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. Well, almost.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54