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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

With the surge of new tools, platforms, and data types, managing these systems effectively is an ongoing challenge. However, they require a strong data foundation to be effective. With the rise of cloud-based data management, many organizations face the challenge of accessing both on-premises and cloud-based data.

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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

With the surge of new tools, platforms, and data types, managing these systems effectively is an ongoing challenge. However, they require a strong data foundation to be effective. With the rise of cloud-based data management, many organizations face the challenge of accessing both on-premises and cloud-based data.

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Forging a Data Strategy for Success in Uncertain Times

Precisely

The 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, delivers groundbreaking insights into the importance of trusted data. However, they manage against those challenges by forging data strategies that employ technology to address constraints.

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Key Data Integrity Trends and Insights for Your 2025 Strategy

Precisely

And yet, only 12% of organizations report that their data is of sufficient quality and accessibility for effective AI implementation. What are the primary data challenges blocking the path to AI success? What are the primary data challenges blocking the path to AI success? What makes data governance’s role so pivotal?

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In Uncertain Times, Data Integrity is More Important Than Ever

Precisely

The Importance of Data Integrity in Uncertain Times To better understand how businesses are adapting to the new normal, Precisely partnered with Drexel University’s LeBow College of Business to survey more than 450 data and analytics professionals from around the world about their current data programs and priorities.

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Best Practices for Effective Data Retention: A How to Guide

Precisely

GDPR states that personal data must not be kept longer than the purpose for which it was collected and processed. Here are ten steps on how you can update your data privacy and data management practices, ensuring your organization’s compliance with GDPR’s retention policies in the collection of personal data.

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Build Maintainable And Testable Data Applications With Dagster

Data Engineering Podcast

In this episode he explains his motivation for creating a product for data management, how the programming model simplifies the work of building testable and maintainable pipelines, and his vision for the future of data programming. If you are building dataflows then Dagster is definitely worth exploring.

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