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.

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.

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.

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.

A data collection exercise for chat data, as with other data types, first involves identifying the relevant data sources, ensuring that those data sources are preserved, and then extracting the data.

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?

These limited racial categories leave many people without an accurate designation. As a result, nearly 50 million people in the 2020 Census chose “some other race,” up 129% from 2010.

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, ...

Police forensic labs face challenges managing diverse evidence data, maintaining chain of custody and integrating systems to avoid manual data entry and errors. Traditional documentation methods ...