Data Mining

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Client data and personalization are the name of the game

Shouldn’t you be making personalized recommendations to your clients?

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How modern firms can capitalize on data assets

Adopting a data-driven operating model boosts customer loyalty and drives business.

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What is a data engineer? An analytics role in high demand

Data engineers are vital members of any enterprise data analytics team, responsible for managing, optimizing, overseeing and monitoring data retrieval, storage and distribution throughout the organization.

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Effective artificial intelligence requires a healthy diet of data

Exploring how a solid foundation of data make AI less artificial and more intelligent.

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What is a data scientist? A key data analytics role and a lucrative career

Data scientists uncover insights from massive amounts of data to help shape or meet business goals. The data scientist role is becoming increasingly important as businesses rely on data analytics to drive decision-making. Here are the...

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Why data analytics initiatives still fail

Strong data analytics is a digital business imperative — and it all begins with smart data governance practices and an emphasis on quality and context.

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15 data science certifications that will pay off

Looking to get ahead as a data scientist? Earning one of these data science certs will help you stand out in one of the hottest careers in IT.

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6 data analytics trends that will dominate 2018

As businesses transform into data-driven enterprises, data technologies and strategies need to start delivering value. Here are four data analytics trends to watch in the months ahead.

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17 best data science bootcamps for boosting your career

Data science is one of the fastest growing careers today and there aren't enough employees to meet the demand. Whether you’re a recent grad, seasoned IT pro or someone looking to make a career change, these bootcamps will set you on...

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Data, metadata and the AI horizon

The need to interact more as an orchestra than a factory.

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AI’s biggest risk factor: Data gone wrong

Bad data is big issue for artificial intelligence, and as businesses increasingly embrace AI, the stakes will only get higher. Here’s how not to get burned.

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The unexpected benefits of data analytics

Data analytics can uncover surprising insights that lead to unexpected new program or product ideas, as these six real-world examples show.

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12 myths of data analytics debunked

From data concerns to staffing needs to technology combinations, data analytics misconceptions abound. Here’s a no-bull look at how to leverage data science to deliver bona fide business results.

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What is DataOps? Collaborative, cross-functional analytics

DataOps (data operations) is an emerging discipline that brings together DevOps teams with data engineer and data scientist roles to provide the tools, processes and organizational structures to support the data-focused enterprise.

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Why your BI strategy needs a universal semantic data layer

A universal semantic data layer is a single business representation of all corporate data aimed at helping users access data using common business terms via the BI and analytics tools of their choice.

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7 sure-fire ways to fail at data analytics

Data analytics is fast becoming the key to a winning business strategy. But without the right approach, skills, and tactics, your data initiatives may never add up.

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How to select the best self-service BI tool for your business

Self-service BI has become the go-to tool for agile, fluid business decisions. Here’s how to select the right platform for your business.

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Acquiring new technology: The data intelligence dance

You need to bring together teams from different departments and business lines to develop a more cohesive implementation approach and achieve group consensus. This process is what I refer to as “Data Intelligence” in my book, The Four...

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