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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

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Data-Driven Marketing Strategies Will Be the Norm in The Post-Covid Era

Smart Data Collective

Big data has been instrumental in keeping the pandemic in check. Organizations and governments around the world are using big data technology to track the spread of Covid-19 and find better solutions to keep it in check. However, big data will continue to affect our lives long after the pandemic has subsided.

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How to build a successful talent acquisition strategy

IBM Big Data Hub

Talent acquisition refers to the ongoing strategy and process an organization and its HR department uses to source, attract, evaluate, hire and retain the highly-qualified new employees it needs to grow. A well-crafted talent acquisition strategy has become a critical component for organizations seeking to secure a competitive edge.

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The future of casino marketing strategy is digital plus data

BizAcuity

Casinos would do well to think through their marketing strategies, to support growth, differentiate themselves from competitors, and strengthen their relationship with patrons and members. The casino operators are expected to face known challenges of rising competition, decreasing ROI, and a high churn rate. No ROI, no investment.

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What CIOs and CTOs should consider before adopting generative AI for application modernization

IBM Big Data Hub

Here’s how CTOs and CIOs can evaluate their technology and data estates, assess the opportunity and chart a path forward. also includes access to the StarCoder LLM, trained on openly licensed data from GitHub. Organizations that have mastered hybrid cloud are well positioned to implement generative AI across the organization.

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Common Business Intelligence Challenges Facing Entrepreneurs

datapine

“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith. Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors.

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Bringing More AI to Snowflake, the Data Cloud

DataRobot Blog

While this can be an excellent strategy for a future-oriented company, it can prove futile if you don’t maximize the value of your investment. According to Flexera 1 , 92% of enterprises have a multi-cloud strategy, while 80% have a hybrid cloud strategy.