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The Foundations of a Modern Data-Driven Organisation: Change from Within (part 2 of 2)

Cloudera

The report classified employees’ reasons for leaving into six broad categories such as growth opportunity and job security, demonstrating the importance of using performance data, data collected from voluntary departures and historical data to reduce attrition for strong performers and enhance employees’ well-being.

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Data protection strategy: Key components and best practices

IBM Big Data Hub

Data breach victims also frequently face steep regulatory fines or legal penalties. Government regulations, such as the General Data Protection Regulation (GDPR), and industry regulations, such as the Health Insurance Portability and Accounting Act (HIPAA), oblige companies to protect their customers’ personal data.

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Q&A: Leading IT in a high-volume M&A environment

CIO Business Intelligence

AssuredPartners is a full-service insurance broker providing commercial insurance, risk management, and employee benefits. The company, which has more than 8,500 employees, plans to continue growing by acquisition, and consolidating the global insurance market. How is data collected and used in the organization?

IT 90
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FRTB: Will 2023 Finally be the Year?

Cloudera

From a data management point of view, FRTB’s requirements will require greatly increased quantities of historical data, along with an increased need for analysis and intensive computation against this data. . And there will be expansions on the requirements for managing and monitoring both data lineage and data security.

Risk 55
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Best Tax KPIs and Metric Examples for 2021 Reporting

Jet Global

For an organization to be successful in their tax function, they need to evaluate the performance of their tax function using a variety of KPIs and metrics, ranging from traditional KPIs such as effective tax rate, filing timelines, financial risk management, etc.; How to Compare Reporting & BI Solutions. Download Now.

Metrics 52
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Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. As the article explains, data science is set apart from other business functions by two fundamental aspects: Relatively low costs for exploration.