Remove 2010 Remove Big Data Remove Dashboards Remove Metrics
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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. Exclusive Bonus Content: How to be data driven in decision making? The ‘gold’ that data scientists ‘mine’ comes in two distinctive types: qualitative and quantitative , and both are critical to making a data driven decision.

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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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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. Example of Sisense player performance dashboard.

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Unintentional data

The Unofficial Google Data Science Blog

There is no longer always intentionality behind the act of data collection — data are not collected in response to a hypothesis about the world, but for the same reason George Mallory climbed Everest: because it’s there. For better and for worse, technology has led to a democratization of data within organizations.

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Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to!

Occam's Razor

In blue is how much time we spent in 2010 and in blue the time spent in 2014. was the dramatic shift between 2010 to 2014 to mobile content consumption. They will need two different implementations, it is quite likely that you will end up with two sets of metrics (more people focused for mobile apps, more visit focused for sites).

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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 will look at some simple errors, and some much more subtle ones that end up limiting our ability to communicate effectively with data. Or, both. : ).