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A step-by-step guide to setting up a data governance program

IBM Big Data Hub

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

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Using Strategic Data Governance to Manage GDPR/CCPA Complexity

erwin

In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). How erwin Can Help.

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Building a Data Strategy for Defence Partners

Alation

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

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Why CIOs back API governance to avoid tech sprawl

CIO Business Intelligence

“Good governance is the telemetry on that investment, from which operational and tactical plans can be adjusted and focused to achieve strategic objectives,” he says. API-first strategies on the rise APIs are ubiquitous within modern software architectures, working behind the scenes to facilitate myriad connected capabilities. “As

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7 sins of digital transformation

CIO Business Intelligence

Alternatively, they can accelerate transformation by prioritizing force-multiplying initiatives such as aligning data science and data governance programs or improving IT operations with AIops capabilities. Still, certain issues surface time and time again to trouble business outcomes regardless of the strategic objectives.

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Choosing Alation: Advice for Your Data Catalog Journey

Alation

For leaders tasked with rolling out a new data governance program, getting started can feel like a daunting task. For one financial services organization, getting started took identifying key capabilities of their future data platform, tying those capabilities to business value, and working closely with the implementation team.

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Bringing an AI Product to Market

O'Reilly on Data

One mid-sized digital media company we interviewed reported that their Marketing, Advertising, Strategy, and Product teams once wanted to build an AI-driven user traffic forecast tool. Internally, AI PMs must engage stakeholders to ensure alignment with the most important decision-makers and top-line business metrics.

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