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In Uncertain Times, Data Integrity is More Important Than Ever

Precisely

The key to success within all of these initiatives is high-integrity data. When business users base their decisions on trusted data, they achieve greater business agility and better results for the other four top objectives. Typically, businesses generate data in siloed applications.

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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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Five Reasons Automation Is Key to Data Governance

Precisely

For data teams, that often leads to a burgeoning inbox of new projects, as business users throughout the organization strive to discover new insights and find new ways of creating value for the business. In the meantime, data quality and overall data integrity suffer from neglect.

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Data Integrity for More Data-Driven Decisions in Financial Services

Precisely

As the financial services landscape has become more complex and sophisticated, the concept of data quality has evolved to imply a holistic approach that encompasses the overall trustworthiness of data. They have found ways to curate and manage data to instill confidence among decision-makers.

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Solving 5 Big Data Governance Challenges in the Enterprise

Precisely

According to a recent report from Drexel University’s LeBow Center for Business Analytics , 77% of data and analytics professionals say that data-driven decision-making is an important goal of data programs. However, fewer than half of survey respondents rate their trust in data as “high” or “very high.”

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The Precisely Approach to Enterprise Data Strategy

Precisely

Virtually every enterprise on the planet invests heavily in data. Integration, data quality, data governance, location intelligence, and enrichment are driving trust and delivering value. How can organizations maximize their ROI on their investments in data integrity? It’s all about client success.

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The Chief AI Officer: Avoid The Trap of Conway’s Law

Ascend.io

Data Management: Data is the lifeblood of AI, and the CAIO develops the comprehensive data strategy that aligns the company’s data executives to fuel its AI initiatives. The CAIO is the vanguard of data privacy and security for the new AI-based capabilities.