ebooks and download videos Search All  Title  Author 
Home / Nonfiction / Computers / Database Management / Database Mining

Beyond Big Data: Using Social MDM to Drive Deep Customer Insight

| £23.32 | €26.23 | Ca$37.84 | Au$37.34
by Martin Oberhofer & Eberhard Hechler & Ivan Milman
What is this?DRM-EPUB by download  |  $27.99
What is this?DRM-PDF by download  |  $27.99
add to wish list
Beyond Big Data: Using Social MDM to Drive Deep Customer Insight by Martin Oberhofer & Eberhard Hechler & Ivan Milman

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

To view this DRM protected ebook on your desktop or laptop you will need to have Adobe Digital Editions installed. It is a free software. We also strongly recommend that you sign up for an AdobeID at the Adobe website. For more details please see FAQ 1&2. To view this ebook on an iPhone, iPad or Android mobile device you will need the Adobe Digital Editions app, or BlueFire Reader or Txtr app. These are free, too. For more details see this article.

SHARE  Share by Email  Share on Facebook  Share on Twitter  Share on Linked In  Share on Delicious
or call in the US toll free 1-888-866-9150 product ID: 647439

Ebook Details
Pages: 272
Size: 11.7 MB
Publisher: IBM Press
Date published:   2014
ISBN: 9780133509816 (DRM-EPUB)
9780133509793 (DRM-PDF)

DRM Settings
Copying:of 30 selections every 30 days allowed
Printing:of 30 pages every 30 days allowed
Read Aloud:  allowed

Territory Restrictions
This ebook will NOT be sold to customers with a billing address in:
Afghanistan, Algeria, Belarus, Bosnia and Herzegowina, Congo, Congo (The Democratic Republic of the), Cote D'Ivoire, Cuba, Indonesia, Iran (Islamic Republic of), Iraq, Korea (Democratic People's Republic of), Liberia, Libyan Arab Jamahiriya, Macedonia (The Former Yugoslav Republic of), Myanmar, Nigeria, Sudan, Syrian Arab Republic, Zimbabwe

This product is listed in the following categories:

Nonfiction > Business & Economics > Information Management
Nonfiction > Computers > Database Management > Database Mining

These authors have products in the following categories:

Nonfiction > Computers > Information Storage & Retrieval
Nonfiction > Business & Economics > Information Management
Nonfiction > Computers > Database Management > Database Mining

If you find anything wrong with this product listing, perhaps the description is wrong, the author is incorrect, or it is listed in the wrong category, then please contact us. We will promptly address your feedback.

Submit 5 page SummaryWhat is this?

© 2016