EZINE:
In this week's Computer Weekly, we look at Gartner's call to innovate – and innovation across retail, the circular economy and the automotive sector. We talk to Verastar's CTO about customer engagement in its small business services. And we examine how poor data quality is frustrating corporate desires to be data-driven. Read the issue now.
EZINE:
Asia-Pacific organisations see the importance of having good data protection practices, even as they are still grappling with organisational and operational challenges. In this handbook, Computer Weekly looks at the different levels of preparedness across the region and what firms can do to plug any gaps.
EGUIDE:
In this expert e-guide we walk you through the best way to organize and present your data, and explain how you can access large amounts of information rapidly. You'll learn how to create a collaborative data governance program, implement data visualization techniques, avoid inconsistent analysis by removing the need for data sampling, 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.
EGUIDE:
The key to success is being able to use the data you collected to develop effective CEM strategies. In this expert e-guide, explore how organizations from multiple industries are leveraging insights from data analytics to develop effective customer experience management strategies and give their businesses a boost.
WHITE PAPER:
This executive brief explains how the combination of master data management (MDM) and data quality (DQ) can significantly enhance the accuracy and reliability of data, enabling timely, confident decisions and accurate reporting.
WHITE PAPER:
This resource examines the roles that information integration and governance play in today's big data world, and offers key recommendations to help you realize the full value of your information and improve business outcomes.
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.
CASE STUDY:
Calvin Klein, one of the world's leading fashion brands, had to transfer all of their transactional and master data from a non-SAP system to the SAP platform, without losing any information or compromising data and process quality. To do this, Calvin Klein leveraged an out-of-the-box SAP add-on for data migration.
EGUIDE:
Governing large and varied sets of big data is difficult. In this expert e-guide, Dr. Anne Smith, Principal Consultant at Alabama Yankee Systems, LLC reveals 7 best practices for instituting effective policies for governing sets of big data. Plus, learn how a solid data governance plan sows the seeds for a successful self-service analytics program.
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