Sisense
NOVEMBER 5, 2020
Cloud-based Human Capital Management (HCM) platforms continue to grow expansively. This has led to an explosion of data: Organizations of all kinds have a larger number of programs and applications feeding them more information, covering a wider array of metrics, than ever before. Evolve to correlate data across systems.
IBM Big Data Hub
JUNE 12, 2023
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. What is data quality? million each year.
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IBM Big Data Hub
AUGUST 2, 2023
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.
bridgei2i
JUNE 2, 2020
Management. The Impact of COVID-19 on Financial Services & Risk Management. Additionally, institutions are finding it difficult to forecast trends, as historical data isn’t relevant anymore. As past data isn’t relevant anymore, current models aren’t going to work. Listening time: 12 minutes.
AWS Big Data
MAY 31, 2023
Trakstar has been used by HR leaders for over 20 years, specifically in the areas of applicant tracking, performance management, and learning management. In 2022, Trakstar launched what is now called Trakstar Insights, which unlocks new analytical insights for HR across the employee life cycle.
CIO Business Intelligence
DECEMBER 1, 2022
Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company. But there is more room to go.
Cloudera
DECEMBER 20, 2022
The move toward renewable energy has a distinct and significant impact on energy generation and distribution that needs to be carefully managed. Efficient use of data will therefore be critical to improving the competitiveness and productivity of assets, both traditional and renewable generation. Data efficiency in renewables.
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