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A history of tech adaptation for today’s changing business needs

CIO Business Intelligence

The best weapon to make decisions in a dynamic world is accurate and relevant information so organizations can carry out strategic plans in the most reliable way. The company has been on a continuous journey to adapt its internal and external processes to new business needs and opportunities since 2001.” js and React.js.

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Email Marketers Use Data Analytics for Optimal Customer Segmentation

Smart Data Collective

Transactional data includes first and final purchases, products, number of purchases, date, statistics, typical order value, commodity purchase history, and total spending by a consumer. Behavioral Information includes understanding the audience’s interest and interaction with your email. Use forms to gather contact information.

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Data Discussion Lessons from Brad Pitt

Juice Analytics

From: Ocean's Eleven (2001) Now imagine yourself giving a pep talk to the next email, PowerPoint slide, or dashboard that you are about to send out. Presumably, your data is not meant to distort, yet we can gather from this short scene some practical communication tips to improve data-informed discussions. What’s the point?”

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

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6 Spectacular Reasons You Must Master the Data Sciences in 2020

Smart Data Collective

Data Science is a field that extracts useful information from loads of structured and unstructured data using algorithms, statistics, and programming. The concept of data science was first introduced in 2001, but it started gaining popularity in 2010. It’s not possible to hardcode every piece of information into a software.

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Self-Service BI vs Traditional BI: What’s Next?

Alation

Historian Richard Millar Devens first used the term to describe the machinations of banker Sir Henry Furnese, who collected information and acted on it quickly to outsmart his competition. But given the nature of organizations at the time, the focus was upon creating executive information systems (EIS).

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IT leaders turn to HBCUs for future IT talent

CIO Business Intelligence

Officials at the North Carolina Department of Information Technology found themselves in a position familiar to most IT organizations: aware of the need to do more to attract IT workers given that they — like most employers — faced fierce competition for talent. There’s nothing like gametime experience,” he adds.

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