5 focus areas for faster master data management results

The latest white papers, case studies and product information

Business Technology Research     February 27, 2019

IN THIS ISSUE 5 focus areas for faster master data management results How to know, trust & use your data 3 strategies to use AI for driving customer service innovation Tips from 124 executives: Reaching your customers through email Building a media recommendation engine to inspire viewers with machine learning

5 focus areas for faster master data management results SPONSORED BY: Information Builders Prioritizing certain elements of your business can enhance your MDM program effectiveness. Find out which areas of your business to focus on for better management of data between departments. Read More

How to know, trust & use your data SPONSORED BY: IBM Can you trust that data? While businesses continuously collect data for improving their insights, many underestimate the potential pitfalls of poor data governance. In this white paper, learn to use data governance for a competitive advantage, including 3 keys to an ideal data governance strategy. Read More

3 strategies to use AI for driving customer service innovation SPONSORED BY: ServiceNow According to ServiceNow, 89% of CIOs use or plan to use machine learning, and it's a key strategy for many in delivering personalized customer experiences. Read this white paper for more information on how to create more innovative customer service experiences within your organization. Read More

Tips from 124 executives: Reaching your customers through email SPONSORED BY: SparkPost You don't have to work so hard to activate, engage and retain customers through email. Download this report to explore how 124 e-commerce and software executives are using application and product-generated emails to reach their customers, and explore how SparkPost's email delivery platform can help. Read More

Building a media recommendation engine to inspire viewers with machine learning SPONSORED BY: SoftServe Download this white paper to learn about the process of building a media recommendation engine that is capable of inspiring the viewer and delivering competitive differentiation. Read More

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