EGUIDE:
In this e-guide: The public has been drenched in data during the Covid-19 pandemic. And the issue of the quality of that data has increasingly come to the fore.
EZINE:
In this week's Computer Weekly, we talk to the digital team at the Royal Horticultural Society about delivering the first online-only Chelsea Flower Show. With all the talk about the consumer uses of 5G, we look at how it could benefit enterprise IT. And we examine the best practice in managing SAP systems during lockdown, Read the issue now.
WHITE PAPER:
Access the following expert e-guide to uncover the best practices and procedures for developing and implementing a successful data quality strategy.
EBOOK:
How can you decide if you should invest in cloud BI tools? This expert guide reveals crucial information on cloud BI and analytics for IT decision-makers. Discover the biggest trends, benefits, and challenges of cloud BI tools.
WHITE PAPER:
Is inconsistent and inaccurate data costing you money? Learn about the value and benefits that cloud-based MDM can deliver. Find out why MDM matters to every organization, how next-gen MDM systems meet the needs of fast-moving enterprises and how to successfully adopt MDM. Plus, get compelling business cases for MDM.
WHITE PAPER:
Thirty-five percent of consumers say they would never use a mobile app again if it contained incorrect product data. This brief resource explores how the global standards body GS1 established the Global Data Synchronization Network (GDSN) as a means of combatting outdated, inconsistent product information.
EGUIDE:
In this expert e-guide, senior executive editor Craig Stedman reports on how data management teams increasingly are approaching governance in subtle ways to avoid being seen by business users as the data police.
BOOK:
Access this expert handbook to learn how to overcome the challenge of big data governance in the evolving IT landscape. Read on for important tips on popular topics including establishing corporate data standards, building effective governance frameworks, managing siloed data, and more.
EGUIDE:
Applying technology like machine learning to transaction data could significantly increase the proportion of money laundering activity that is detected. It is projects like this that are driving demand for data science skills. In this e-guide, read about the power of data against money laundering, and how to get the skills to turn data into gold.
