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A steadfast community in an ever-changing data landscape

IBM Big Data Hub

Today, the Summer School has grown to include over 400 data leaders across 46 countries and nearly 25 industries. Storytelling remains a powerful tool in data strategy adoption. This year we’ve spoken with data leaders whose data strategies have stalled, resulting in falling confidence within their organizations.

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Improve Your Data’s Value With Data Governance

CDW Research Hub

What is your organization doing to protect the value of your data? A strong data governance strategy helps ensure that your data is usable, accessible and protected, guaranteeing trust in the quality and consistency of the data. But creating a data governance program is not something you can do overnight.

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AWS Lake Formation 2022 year in review

AWS Big Data

Data governance is increasingly top-of-mind for customers as they recognize data as one of their most important assets. Effective data governance enables better decision-making by improving data quality, reducing data management costs, and ensuring secure access to data for stakeholders.

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Insights from the 2019 DGIQ Conference

TDAN

The 2019 Data Governance and Information Quality (DGIQ) Conference ([link] hosted by Debtech International and DATAVERSITY, took place in San Diego, California from June 3-7, 2019 and this year’s event was another resounding success!

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How AWS helped Altron Group accelerate their vision for optimized customer engagement

AWS Big Data

Altron is a pioneer of providing data-driven solutions for their customers by combining technical expertise with in-depth customer understanding to provide highly differentiated technology solutions. Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices.

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Systems Thinking and Data Science: a partnership or a competition?

Jen Stirrup

Often, this problem can be due to the organization concentrating solely on technology and data. However, organizations can be supported by a synergistic approach by integrating systems thinking with the data strategy and technical perspective. How is it possible to enable data-driven decisions in a systems thinking approach?