Ontotext

MAY 26, 2021

Consider an example in which our first data source says that Microsoft invested $240 million in Facebook and the second – that on October 24, 2007 Microsoft invested in Facebook. However, this is not always so straightforward. Evaluation as well requires a trusted reference, which is again the Gold Standard.

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

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. Reeboks made it possible for aerobics classes to become main stream beyond its dancer beginnings. In BI we have had our seminal moments too.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Occam's Razor

AUGUST 22, 2011

The Awesome Power of Visualization 2 -> Death and Taxes 2007. Tip #9: Leverage Statistical Control Limits. Tip#1: Statistical Significance. Web Analytics Career Advice: Statistics, Business, IT & Mushrooms. 2007 Predictions: Web Analytics. Web Analytics Demystified. Six Data Visualizations That Rock!

KPI 124

KPI Metrics Measurement ROI 124

Occam's Razor

MARCH 12, 2012

All the way back in 2007, I was evangelizing the value of moving away from the "small data" world of clickstream data to the "bigger data" world of using multiple data sources to make smarter decisions on the web. Here's the "bigger web analytics data" picture from 2007… Multiplicity!

Big Data 127

Big Data Data-driven Unstructured Data Marketing 127

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 Consulting Data Science 55

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 119

Measurement Advertising Testing Marketing 119

CIO Business Intelligence

JULY 7, 2022

There are many statistics that link business success to application speed and responsiveness. Cassandra, built by Facebook in 2007, is designed as a distributed system for deployment of large numbers of nodes across multiple data centers. By Aaron Ploetz, Developer Advocate. Or what about Netflix?

Statistics 110

Statistics Optimization Data Architecture Enterprise 110

Smart Data Collective

OCTOBER 12, 2022

Statistical Atlas. The Statistical Atlas is an invaluable data analytics tool that can give you detailed insights on a wide variety of national markets and areas. One major bonus of the Statistical Atlas is that it’s absolutely free to use. Fortunately, a number of data analytics tools can be very helpful here.

Marketing 120

Marketing Data Analytics Analytics Big Data 120

Occam's Razor

APRIL 8, 2013

Remember that the raw number is not the only important part, we would also measure statistical significance. Circle of Friends was a social community built atop Facebook that launched in 2007. The result? The properties with professional photography had 2-3 times the number of bookings! The graph is impressive, right?

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

The Unofficial Google Data Science Blog

JULY 22, 2020

For example, imagine a fantasy football site is considering displaying advanced player statistics. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. One reason to do ramp-up is to mitigate the risk of never before seen arms.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Grooper

AUGUST 19, 2019

Technology – i.e. data mining, predictive analytics, and statistics. Data science is a field of study which involves scientific methods, programming skills, math (calculus, algebra, and statistics), and algorithms to transform data into knowledge. These requirements include fluency in: Analytical models. Simulations. Harris, Jeanne G.

Analytics 54

Analytics Machine Learning Data-driven Data Science 54

O'Reilly on Data

DECEMBER 9, 2019

We develop an ordinary least squares (OLS) linear regression model of equity returns using Statsmodels, a Python statistical package, to illustrate these three error types. CI theory was developed around 1937 by Jerzy Neyman, a mathematician and one of the principal architects of modern statistics. and an error term ??

Statistics 27

Statistics Uncertainty Risk Marketing 27

The Unofficial Google Data Science Blog

MAY 31, 2016

Statistical power is traditionally given in terms of a probability function, but often a more intuitive way of describing power is by stating the expected precision of our estimates. This is a quantity that is easily interpretable and summarizes nicely the statistical power of the experiment. Cambridge, 2007. In the U.S.,

Advertising 42

Advertising Testing Sales Statistics 42

The Unofficial Google Data Science Blog

JULY 18, 2023

Editor's note : The relationship between reliability and validity are somewhat analogous to that between the notions of statistical uncertainty and representational uncertainty introduced in an earlier post. 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

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

Domino Data Lab

SEPTEMBER 25, 2019

A big part of statistics, particularly for financial and econometric data, is analyzing time series, data that are autocorrelated over time. class(attClose) [1] "xts" "zoo" > head(attClose) T.Close 2007-01-03 34.95 2007-01-04 34.50 2007-01-05 33.96 2007-01-08 33.81 2007-01-09 33.94 2007-01-10 34.03.

Forecasting 87

Forecasting Modeling Statistics Optimization 87