If you want to exploit the potential of your data, you need to develop a data strategy. This includes not only technology: processes, organization and culture should also be examined. How do data ...

Data silos continue to grow—increasing the complexity of generating insights and slowing productivity. Every supply chain ...

Module 2: Product Data Frameworks and Workflows You will analyze and apply two key frameworks for your data strategy which will help you develop a data mindset and move towards your data vision Our ...

Even the most advanced AI initiatives are doomed to fail without a robust data strategy. I'll explore why a solid data strategy is the cornerstone of successful AI implementation and provide ...

"Social commerce" is more than just a trendy buzzword nowadays; it’s a tool brands can use to deepen their connection with ...

PREMIUM Artificial intelligence.(Thinkstock) Defining Data Strategy involves developing a comprehensive roadmap and framework for collecting, managing, analysing, and sharing data assets across an ...

In the current dynamic business environment, organizations are now seeking machine learning to revolutionalize their approach ...

But the industry suffers from a widespread data strategy problem. According to research from Mosaic Smart Data, for example, 66% of investment banks struggle with data quality and integrity, and 83% ...

The U.S. Space Force has announced it is developing a new international strategy that prioritizes the integration of allies ...

learn why companies must develop robust data and analytics strategies to survive in a data-driven world and read more about the organisations in the region that are leading the way.

Alongside developing the strategy, new chief data officers should spend the first days on the job learning who the leaders are within the different business units. Those relationships will be ...