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5 recommendations to get your data strategy right

IBM Big Data Hub

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The evolution of a multi-everything landscape, and what that means for data strategy.

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Your Ultimate Guide To Modern KPI Reports In The Digital Age – Examples & Templates

datapine

Experts predict that by 2025, around 175 Zettabytes of data will be generated annually, according to research from Seagate. But with so much data available from an ever-growing range of sources, how do you make sense of this information – and how do you extract value from it? Looking for a bite-sized introduction to reporting?

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Six EAM trends pushing the oil and gas industries forward

IBM Big Data Hub

It offers a holistic view, providing critical data about asset condition, location and efficiency. More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring.

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Best BI Tools For 2024 You Need to Know

FineReport

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. These tools empower organizations to glean valuable insights from their data, enhancing decision-making processes and bolstering competitiveness in data-driven markets.

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy. Discover why.

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How IT leaders are driving new revenue

CIO Business Intelligence

The initiative, heavy on data and analytics, will sift through myriad market factors affecting each store to land on the optimal prices — and, in the process, boost revenue for franchise owners and the company itself. And Herlihy points to his team’s work on building a data environment that can be used to improve customer experience.

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Implementing Data Governance in the Manufacturing Industry

Alation

Or, rather, every successful company these days is run with a bias toward technology and data, especially in the manufacturing industry. technologies, manufacturers must deploy the right technologies and, most importantly, leverage the resulting data to make better, faster decisions. All personas access and use data appropriately, and.