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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. Let’s explore more of the report’s findings around data program successes, challenges, influences, and more.

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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? Data quality is the top data integrity challenge for 64% of organizations this year, up from 50% last year.

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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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In Uncertain Times, Data Integrity is More Important Than Ever

Precisely

This digital boom raised the stakes for cyber security and data privacy – and it’s easy to see why. Data theft, leaks, and breaches will cost companies an estimated $8 trillion in 2023. Regulatory and consumer scrutiny with respect to how companies manage personal data is on the rise.

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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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Top Big Data Certifications to choose from in 2023

ProjectPro

Acquiring big data analytics certifications in specific big data technologies can help a candidate improve their possibilities of getting hired. It is necessary for individuals to bridge the wide gap between the academia big data programs and the industry practices.

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The Hidden Challenges of the Modern Data Stack

Ascend.io

With these new tools and resources, companies could: Process and view their data in real-time Analyze much broader and deeper data sets Benefit from far better performance From a management and purchasing perspective, the cloud made infrastructure much easier. Why is the modern data stack so challenging?