Title: | Beyond Big Data: Using Social MDM to Drive Deep Customer Insight |
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Description
Drive Powerful Business Value by
Extending MDM to Social, Mobile, Local, and Transactional
Data Enterprises have long relied on Master Data
Management (MDM) to improve customer-related processes. But MDM was
designed primarily for structured data. Today, crucial information
is increasingly captured in unstructured, transactional, and social
formats: from tweets and Facebook posts to call center transcripts.
Even with tools like Hadoop, extracting usable insight is
difficult—often, because it’s so difficult to integrate
new and legacy data sources. In Beyond Big Data, five of
IBM’s leading data management experts introduce powerful new
ways to integrate social, mobile, location, and traditional data.
Drawing on pioneering experience with IBM’s enterprise
customers, they show how Social MDM can help you deepen
relationships, improve prospect targeting, and fully engage
customers through mobile channels. Business leaders and practitioners will
discover powerful new ways to combine social and master data to
improve performance and uncover new opportunities. Architects and
other technical leaders will find a complete reference
architecture, in-depth coverage of relevant technologies and use
cases, and domain-specific best practices for their own
projects.
How Social MDM extends fundamental MDM
concepts and techniques
Architecting Social MDM: components,
functions, layers, and interactions
Identifying high value relationships:
person to product and person to organization
Mapping Social MDM architecture to
specific products and technologies
Using Social MDM to create more compelling
customer experiences
Accelerating your transition to
highly-targeted, contextual marketing
Incorporating mobile data to improve
employee productivity
Avoiding privacy and ethical pitfalls
throughout your ecosystem
Previewing Semantic MDM and other emerging
trends
Coverage Includes
Drive Powerful Business Value by Extending MDM to Social, Mobile, Local, and Transactional Data
Enterprises have long relied on Master Data Management (MDM) to improve customer-related processes. But MDM was designed primarily for structured data. Today, crucial information is increasingly captured in unstructured, transactional, and social formats: from tweets and Facebook posts to call center transcripts. Even with tools like Hadoop, extracting usable insight is difficult—often, because it’s so difficult to integrate new and legacy data sources.
In Beyond Big Data, five of IBM’s leading data management experts introduce powerful new ways to integrate social, mobile, location, and traditional data. Drawing on pioneering experience with IBM’s enterprise customers, they show how Social MDM can help you deepen relationships, improve prospect targeting, and fully engage customers through mobile channels.
Business leaders and practitioners will discover powerful new ways to combine social and master data to improve performance and uncover new opportunities. Architects and other technical leaders will find a complete reference architecture, in-depth coverage of relevant technologies and use cases, and domain-specific best practices for their own projects.
Coverage Includes
How Social MDM extends fundamental MDM concepts and techniques
Architecting Social MDM: components, functions, layers, and interactions
Identifying high value relationships: person to product and person to organization
Mapping Social MDM architecture to specific products and technologies
Using Social MDM to create more compelling customer experiences
Accelerating your transition to highly-targeted, contextual marketing
Incorporating mobile data to improve employee productivity
Avoiding privacy and ethical pitfalls throughout your ecosystem
Previewing Semantic MDM and other emerging trends