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Gartner’s Inaugural Magic Quadrant for Data & Analytics Governance Platforms

Gartner’s introduction of the Magic Quadrant for Data & Analytics Governance Platforms marks the rising importance of data governance for enterprises today. At Alation, we are proud to be recognized in this emerging space for enterprises navigating the complexities of modern data ecosystems.

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The Challenge of Financial Inclusion for the Unbanked: GXS Bank’s Story

Despite progress in expanding access to financial services globally, millions of people remain unbanked. According to the World Bank's Global Findex Database 2021, a lack of money, distance to financial institutions, and documentation requirements are key barriers to financial inclusion. This leads to a vicious cycle where those without credit histories cannot access loans and other banking services to build their financial profiles.

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Unlocking Business Value with Data Governance: Key Trends and Strategies

Establishing a solid data governance program is no longer a luxury—it's a necessity. For organizations striving to harness data's full potential, data governance enables better decision-making, ensures compliance, and delivers operational efficiency. Yet, many businesses still struggle to implement governance initiatives effectively. 

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How the NBA Scales Data Best Practices

Despite intense on-court competition between the 30 NBA teams, there is a strong culture of sharing data insights and best practices off the court. Michael James is the SVP of Data and Analytics at the NBA, and he’s run point on nurturing this culture. 

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What Is Data Management? Types, Challenges, and Best Practices

Data management encompasses the processes, policies, and technologies that govern the entire lifecycle of data, from its creation and acquisition to its storage, processing, analysis, and eventual archiving or deletion.

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How to Build Self-Service Analytics Capabilities

Imagine a workplace where everyone can easily find, access, and analyze data to make informed decisions. In such an environment, data becomes a true strategic asset, driving critical business operations and unlocking its potential as a game changer. Achieving this vision requires creating a self-service analytics framework that boosts productivity, reduces data quality issues, and ensures broader data access. Here's how to get started.

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What Is AI in Financial Services? Benefits, Applications & Implementation

Artificial Intelligence (AI) is transforming financial services by automating tasks that require human intelligence, such as decision-making and problem-solving. AI technologies like machine learning, natural language processing, and predictive analytics enable financial institutions to improve operations, enhance customer interactions, and make smarter decisions.

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How to Automate and Improve Your Data Governance Processes

Data governance defines how data is gathered and used within an organization. It establishes policies, processes, and standards to ensure that data is consistent, trustworthy, and aligned with business objectives. As organizations collect and generate vast amounts of data from various sources, effective data governance becomes crucial for maintaining data quality, ensuring regulatory compliance, and enabling data-driven decision-making. 

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Building Trust in AI: Key Takeaways from IDC’s Stewart Bond on AI Governance

Artificial intelligence (AI) is reshaping industries, driving innovation, and opening up new economic opportunities. According to a 2023 report by McKinsey, generative AI has the potential to add between $2.6 trillion and $4.4 trillion in value to the global economy annually. 

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