IMPROVING DATA PREPARATION FOR BUSINESS ANALYTICS

January 15, 2019

Business users want the power of analytics—but analytics can only be as good as the data. The biggest challenge nontechnical users are encountering is the same one that has been a steep challenge for data scientists: slow, difficult, and tedious data preparation. The increasing volume, variety, and velocity of data is putting pressure on organizations to rethink traditional methods of preparing data for reporting, analysis, and sharing. In the recent TDWI Best Practices Report: Improving Data Preparation for Business Analytics, we take a look at experiences with data preparation, discuss goals and objectives, and uncover how to take advantage of the rapidly evolving technology and self-service capabilities that allow business users to realize insights from data faster. Here are several of the key survey results.

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PredictiveHire

PredictiveHire is a team of data scientists, artificial intelligence experts, IO psychologists and recruitment industry veterans who’ve joined together on a mission to change the way candidate assessment is done, by leveraging the power of smart technology. We believe all people decisions should be based on data and analytics – not gut feeling. With the help of technology, we want to level the candidate playing field and help reduce unconscious biases in the hiring process.

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8 BIG DATA ANALYTICS TRENDS TO EXPECT IN 2021

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Ai in Manufacturing

Infographic | December 16, 2019

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Importance of Data Encryption

Infographic | March 30, 2022

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Big Data Analytics and IoT

Infographic | May 10, 2022

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Spotlight

PredictiveHire

PredictiveHire is a team of data scientists, artificial intelligence experts, IO psychologists and recruitment industry veterans who’ve joined together on a mission to change the way candidate assessment is done, by leveraging the power of smart technology. We believe all people decisions should be based on data and analytics – not gut feeling. With the help of technology, we want to level the candidate playing field and help reduce unconscious biases in the hiring process.

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