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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. million each year.

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Growing Set of Case Studies for Data and Analytics

Andrew White

Here is a snapshot from our growing new set of data and analytics case studies. D&A Strategy: Continuously Market-Tested Data & Analytics Strategy (UrbanShopping*) 710519. Analytics, BI and Data Science: Peer-Based Analytics Learning (ABB) 710371. Data Quality Score (TE Connectivity) 705649.

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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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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. One important aspect to a successful data strategy for any organization is data governance.

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Financial Dashboard: Definition, Examples, and How-tos

FineReport

The balance sheet plays a vital role in internal management, helping companies fine-tune their business strategies and prevent misuse. By comparing the current ratio, quick ratio, and cash flow ratio, companies can assess their current operational status and determine necessary actions to align with their business strategies.

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Five actionable steps to GDPR compliance (Right to be forgotten) with Amazon Redshift

AWS Big Data

Data management and governance Addressing the challenges mentioned requires a combination of technical, operational, and legal measures. Organizations need to develop robust data governance practices, establish clear procedures for handling deletion requests, and maintain ongoing compliance with GDPR regulations.

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Build a multi-Region and highly resilient modern data architecture using AWS Glue and AWS Lake Formation

AWS Big Data

AWS Lake Formation helps with enterprise data governance and is important for a data mesh architecture. It works with the AWS Glue Data Catalog to enforce data access and governance. This utility has two modes for replicating Lake Formation and Data Catalog metadata: on-demand and real-time.