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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. Risk Mitigation Modeling can then be used to analyze training data and determine a player’s ideal training volume while minimizing injury risk.

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5 rules that transform outsourcing outcomes

CIO Business Intelligence

For organizations seeking a collaborative win-win approach to outsourcing, the Vested sourcing business model is worth consideration. It is the product of nearly 20 years of research at the University of Tennessee, beginning with a deep-dive funded by the United States Air Force on outcome-based outsourcing in 2003.

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5-Star Linked Open Elections Data 

Ontotext

For these reasons, publishing the data related to elections is obligatory for all EU member states under Directive 2003/98/EC on the re-use of public sector information and the Bulgarian Central Elections Committee (CEC) has released a complete export of every election database since 2011. The road ahead.

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An Overview of Sales Analytics in Event Industry

BizAcuity

Sales Analytics in simple terms can be defined as the process used to identify, understand, predict and model sales trends and sales results and in this process of understanding of these trends helps its users in finding improvement points. It can help the wider company management team in making better decisions.

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

Others argue that there will still be a unique role for the data scientist to deal with ambiguous objectives, messy data, and knowing the limits of any given model. With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends.

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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!). For a person such as myself who came from the traditional Data Warehouse and Business Intelligence worlds that was a non-trivial mental model transformation.

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Create High-Impact Data Visualizations: Nine Effective Strategies

Occam's Razor

5: What-if Analysis Models. Oh, or your main traffic sources and the visitor acquisition metrics? allow for smart elements like modeling. Strategy 5: What-if Analysis Models. Why not build in a model where the decision maker can change Conversion Rates, to see the impact on Revenue? 2: If Complex, Focus!