Data-driven Modeling People Analytics 
Sisense
OCTOBER 27, 2020
As companies digitally transform and become data-driven, each department and team needs to find its own ways to embrace data and insights to make smarter decisions. HR professionals are awash in hiring and employee data of all kinds. The HR analytics continuum. Operational analytics.
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.
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bridgei2i
JULY 8, 2020
Their head is like can we augment data from other data sources that can give us a glimpse into the future. Can we model the impact for such structural shocks? Last but not least, the crisis has also gotten enterprises to think of a lot of newer business models. How do they translate into real-world behavior?
bridgei2i
MAY 20, 2020
But because of COVID-19, digital transformation is helping B2B models trying to replicate successful B2C models. And since they involve making better decisions using data-driven insights, AI & Analytics led applications are leading the way forward. So how does this data and analytics enable these models?
Cloudera
MAY 12, 2021
2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. DATA FOR ENTERPRISE AI.
AWS Big Data
MAY 31, 2023
As companies look to combat these new challenges, we’ve seen the rise of the Chief People Officer because organizations now recognize people as their greatest asset. QuickSight allowed us to meet our customers’ needs quickly and played a key role in our overall analytics strategy.
Cloudera
DECEMBER 20, 2022
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. Effective use of data can have a direct impact on the cash flow of wind and solar generation companies in areas such as real-time decision making.
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