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An Overview of Sales Analytics in Event Industry

BizAcuity

With more and more information became readily available online in the mid 2000s, companies started taking advantage of it by leveraging big data analytics. Sales Analytics began to emerge as the scientific approach to selling in 2010 with sales becoming less about certain methodology or personality and more of a number game.

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7 Data Presentation Tips: Think, Focus, Simplify, Calibrate, Visualize++

Occam's Razor

There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. We are all aware that the best companies in the world have an optimal DC-DR-DA allocation when it comes to time/money/people: 15%-20%-65%. All simple fixes.

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Euro Soccer Special: What Football Teaches Us About Analytics

Sisense

It’s no surprise that rivals followed suit and that by 2010 analytics were widely used by top teams in leading international leagues. Like every other business, football has experienced rapid technological advances that generate and capture data from training and match play. FIFA didn’t even start counting assists until 1994 !

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The Artificial Intelligence Opportunity: A Camel to Cars Moment

Occam's Razor

Additionally, I was so very excited about the Visual Interaction Network they built to mimic a human’s ability to predict. (If Some of you’ve heard the “hype” before and are deeply skeptical (AI went through a two decade long tundra where it failed to live up to every promise, until say 2010 or so). This progress is so very cool.

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Using random effects models in prediction problems

The Unofficial Google Data Science Blog

Far from hypothetical, we have encountered these issues in our experiences with "big data" prediction problems. Often our data can be stored or visualized as a table like the one shown below. Applied Stochastic Models in Business and Industry, 26 (2010): 639-658. [10] bandit problems). 2005): 301-320. [9]

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Why Data Driven Decision Making is Your Path To Business Success

datapine

The term ‘big data’ alone has become something of a buzzword in recent times – and for good reason. But today, the development and democratization of business intelligence software empowers users without deep-rooted technical expertise to analyze as well as extract insights from their data. We read about it everywhere.

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Stuff Harvard People Like

Edwin Chen

Visualization 0.492. Big Data 0.41. Data Visualization 0.301. Inception (2010 movie) 0.535. The Social Network (2010 movie) 0.513. Search Engine Optimization (SEO) 0.398. Mechanical Engineering 0.563. Engineering 0.563. Distributed Databases 0.544. StackOverflow 0.536. Boston 0.513. Yelp 0.396.

Finance 81