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Sport analytics leverage AI and ML to improve the game

CIO Business Intelligence

In the years since author Michael Lewis popularized sabermetrics in his 2003 book, Moneyball: The Art of Winning an Unfair Game , sports analytics has evolved considerably beyond baseball. One of the key things we were looking at was what were the most important metrics and how can they be communicated effectively,” he says.

Analytics 118
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The HP-Autonomy lawsuit: Timeline of an M&A disaster

CIO Business Intelligence

The 2000s: Spending spree September 2003: Autonomy completes its purchase of video management software vendor Virage and rebuilds the company’s software on its own IDOL (Intelligent Data Operating Layer) unstructured data management platform. billion at 2011 exchange rates—although later reports will put the price as high as £8.7

Software 105
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An Overview of Sales Analytics in Event Industry

BizAcuity

Some businesses in 2003 started using predictive analytics generating an average Return on Investment or ROI of 145% as per the study that was undertaken by IDC. Sales analytics enables the event management team in visualizing their target list and then segmenting it by industry, size and other data metrics.

Sales 67
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Finding Data Quality

Jim Harris

In the spring of 2003, Pixar Animation Studios produced one of my all-time favorite Walt Disney Pictures— Finding Nemo. These discussions are a critical prerequisite for determining data usage, standards, and the business relevant metrics for measuring and improving data quality. Defect Prevention.

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Multiplicity: Succeed Awesomely At Web Analytics 2.0!

Occam's Razor

My first eMetrics summit was June 2003 and as a young inexperienced person new in the field it was a great learning experience (eMetrics in Santa Barbara were the best!). Essentially everything you need to know, measure and report around the existence of your website itself. ." Ok let me explain. Idiot proof fast installation.

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Create High-Impact Data Visualizations: Nine Effective Strategies

Occam's Razor

Oh, or your main traffic sources and the visitor acquisition metrics? Good reporting. The Global Gender Gap Report is a fabulous example how to solve this problem. The output is not the reporting, the output are the conclusions from the Analyst’s brain. How about displaying countries and products purchased?