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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? Data analytics includes the tools and techniques used to perform data analysis.

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The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. By contrast, market participants have trouble explaining the causes of daily market movements or predicting the price of a stock at any time, anywhere in the world. Finance is not physics.

Modeling 134
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Mobile Marketing 2015: Rethink Customer Acquisition, Intent Targeting

Occam's Razor

I'm a lot less excited when I think about the imagination that we've brought to bear on mobile platforms and business/marketing. They are slow to grasp new opportunities to rethink customer relationships, to revolutionize products and services, marketing, advertising, acquisition, and to deliver delight and make people happy.

Marketing 144
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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

datapine

According to the US Bureau of Labor Statistics, demand for qualified business intelligence analysts and managers is expected to soar to 14% by 2026, with the overall need for data professionals to climb to 28% by the same year. The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320.

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Modernize Using The BI & Analytics Magic Quadrant

Rita Sallam

Or when Tableau and Qlik’s serious entry into the market circa 2004-2005 set in motion a seismic market shift from IT to the business user creating the wave of what was to become the modern BI disruption. Gartner revamped the BI and Analytics Magic Quadrant in 2016 to reflect the mainstreaming of this market disruption.

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The Case for More Embedded Analytics in Patient Care

Sisense

The steady growth of medical data is outpacing many health providers’ ability to make use of it. Data mining and analytics tools previously used for commercial data are being applied to medical data in various forms. In 2015, there were about 24,000 mobile health apps on the Google Play store.

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

Occam's Razor

If you look at the mobile marketing strategies, you will see they don't reflect this shift to mobile. If you are in a feature phone majority market, and that market has most of the monetizable behavior, please invest in unique tracking there. Mobile Marketing 2015: Rethink Customer Acquisition, Intent Targeting.

Metrics 141