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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

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As insurers look to be more agile, data mesh strategies take centerstage

CIO Business Intelligence

With its emphasis on decentralized, domain-oriented data ownership and architecture, data mesh provides a potential answer for overmatched, out-manned businesses. The data mesh debate This is not to say that there is a consensus that data mesh is a universal solution.

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Data strategy is a differentiator for universities. Here’s how to get it right

CIO Business Intelligence

Data is critical to success for universities. Data provides insights that support the overall strategy of the university. Data also lies at the heart of creating a secure, Trusted Research Environment to accelerate and improve research. The first step is to put in place a robust data strategy.

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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 Catalog Role in Data Transformation and Governance

TDAN

Nearly every data leader I talk to is in the midst of a data transformation. As businesses look for ways to increase sales, improve customer experience, and stay ahead of the competition, they are realizing that data is their competitive advantage and the key to achieving their goals. And it’s no surprise, really.

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The Best Data Management Tools For Small Businesses

Smart Data Collective

As the world is gradually becoming more dependent on data, the services, tools and infrastructure are all the more important for businesses in every sector. Data management has become a fundamental business concern, and especially for businesses that are going through a digital transformation. What is data management?

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Reference guide to build inventory management and forecasting solutions on AWS

AWS Big Data

Inventory management is a critical function for any business that deals with physical products. The primary challenge businesses face with inventory management is balancing the cost of holding inventory with the need to ensure that products are available when customers demand them.