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How IBM HR leverages IBM Watson® Knowledge Catalog to improve data quality and deliver superior talent insights

IBM Big Data Hub

People analytics is at the center of human resources (HR) strategy and planning. Companies rely heavily on data and analytics to find and retain talent, drive engagement, improve productivity and more across enterprise talent management. Data quality is also critical for data governance.

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How IBM HR and the Chief Data Office partnered to drive data quality, increased productivity and a move to higher value work

IBM Big Data Hub

People analytics is at the center of Human Resources (HR) strategy. Companies rely heavily on data and analytics to find and retain talent, drive engagement, and improve productivity. However, analytics are only as good as the quality of the data, which aims to be error-free, trustworthy, and transparent.

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Announcing the 2021 Data Impact Awards

Cloudera

Use cases for this category could include but are not limited to: people analytics and reporting; employee recruiting, retention and development; employee resource groups; diversity, equality and inclusion strategy; supplier diversity, and more. DATA FOR GOOD.

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Optimizing the Energy Sector with Data Analytics

Cloudera

Within this group, we can find aspects such as improvements in the management and investigation of accidents at work as well as their prevention, or other aspects such as what is called “people analytics” in reference to the use of data analysis tools for management and decision-making in people management in the company.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 2: How Data & Analytics Can Help in a Downturn

bridgei2i

He’s an expert in data and analytics strategy who advises CXOs and senior business leaders on data strategy, data monetization, data governance, and analytics best practices.