Addressing Customer Analytics with Effective Data Matching
With the advent of big data, organizations worldwide
are attempting to use data and analytics to solve problems previously
out of their reach. Many are applying big data and analytics to create
competitive advantage within their markets, often focusing on building a
thorough understanding of their customer base. This white paper
discusses the need for effective matching in big data environments, the
top three challenges of customer analytics in a big data environment and
how an effective matching engine that is optimized for big data helps
organizations connect information in a scalable, accurate manner.
Read the white paper and learn:
- The importance of a big data matching solution
InfoSphere Big Match for Hadoop enables the fast, accurate and
efficient linking needed to derive deeper customer insight from big data
- Three top customer analytics challenges in a big data environment
the ability to innovate and act with confidence to drive strategic,
customer-centric initiatives with InfoSphere BigMatch for Hadoop.
Not interested in downloading now? Visit our Master Data Management page.