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Making the Case for Data Enablement (Rather Than Data Governance)

TDAN

There is a movement in the business and academic worlds to consider relabeling the name of the long-time data discipline of “Data Governance” to “Data Enablement”. Usually, when someone tells me something like this, my first response is to chuckle and nod my head.

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6 ways generative AI can optimize asset management

IBM Big Data Hub

Every asset manager, regardless of the organization’s size, faces similar mandates: streamline maintenance planning, enhance asset or equipment reliability and optimize workflows to improve quality and productivity. They can generate responses like text and images, while simultaneously interpreting and manipulating existing data.

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#ClouderaLife Employee Spotlight: Sherry Zhou, Engineering Manager

Cloudera

Sherry is an Engineering Manager for the CDV (Cloudera Data Visualization) team. Her team’s objectives are to, first, make it easier for analysts to explore data, enabling them to uncover interesting trends in product features and performance. On our team, I’m pleased to see we have a pretty even ratio of men to women.”

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Everything You Need to Know About Project Management Dashboard

FineReport

Thus, one tool that has gained significant popularity in recent years is the Project Management Dashboard. Moreover, the implementation of an effective Project Management Dashboard facilitates data-driven decision-making and sustainable business success. What Is A Project Management Dashboard?

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Data Teams and Their Types of Data Journeys

DataKitchen

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Benefits Of Big Data In Logistics Before we look at our selection of practical examples and applications, let’s look at the benefits of big data in logistics – starting with the (not so) small matter of costs. This transparency is valuable to shippers, carriers, and customers. million miles.

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DataOps For Business Analytics Teams

DataKitchen

Business analysts must rapidly deliver value and simultaneously manage fragile and error-prone analytics production pipelines. Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics. Sometimes BA teams turn to IT, which may have its drawbacks.