As the amount, sources, and types of data continue to grow, it’s important to understand and address the common challenges that can arise during the migration process.

Data types include customer data, sales data, market research, competitors' data and financial data, to name a few, ... Four Common Challenges In Data Management Data Silos.

With collaboration data, this comes with additional challenges because the data is extremely complex and unstructured, so it’s vital to establish retention policies to ensure everything is ...

Renewable energy technology portfolios are becoming increasingly complex with multiple asset types like solar, wind and ...

Divestitures and mergers present unique data challenges. A divestiture, for example, ... Despite differences in these types of transactions, there are processes common to both.

These challenges address soil health challenges through data-driven solutions and cross-sector collaboration. Kenya’s agriculture sector faces threats from declining soil health, limited data access, ...

Despite the challenges, many companies find that bringing data in-house is worthwhile. Before transitioning, companies should evaluate the cost of bringing data in-house versus using a cloud provider.

In this article, we recap on McKinsey’s study, examine the top 3 data challenges for credit management, ... What types of data are financial institutions using for credit management today?

The enterprise AI market will reach $204 billion by 2030. Ninety-two percent of organizations plan to increase their AI investments over the next three years. Yet MIT research shows 90% of AI projects ...

The challenge brought together data scientists from around the world who built machine learning and computer vision models to help the league better measure and analyze the timing, duration and ...