Book description
Managing information within the enterprise has always been a vital and important task to support the day-to-day business operations and to enable analysis of that data for decision making to better manage and grow the business for improved profitability. To do all that, clearly the data must be accurate and organized so it is accessible and understandable to all who need it.
That task has grown in importance as the volume of enterprise data has been growing significantly (analyst estimates of 40 - 50% growth per year are not uncommon) over the years. However, most of that data has been what we call "structured" data, which is the type that can fit neatly into rows and columns and be more easily analyzed. Now we are in the era of "big data." This significantly increases the volume of data available, but it is in a form called "unstructured" data. That is, data from sources that are not as easily organized, such as data from emails, spreadsheets, sensors, video, audio, and social media sites. There is valuable information in all that data but it calls for new processes to enable it to be analyzed.
All this has brought with it a renewed and critical need to manage and organize that data with clarity of meaning, understandability, and interoperability. That is, you must be able to integrate this data when it is from within an enterprise but also importantly when it is from many different external sources.
What is described here has been and is being done to varying extents. It is called "information governance." Governing this information however has proven to be challenging. But without governance, much of the data can be less useful and perhaps even used incorrectly, significantly impacting enterprise decision making. So we must also respect the needs for information security, consistency, and validity or else suffer the potential economic and legal consequences. Implementing sound governance practices needs to be an integral part of the information control in our organizations.
This IBM® Redbooks® publication focuses on the building blocks of a solid governance program. It examines some familiar governance initiative scenarios, identifying how they underpin key governance initiatives, such as Master Data Management, Quality Management, Security and Privacy, and Information Lifecycle Management. IBM Information Management and Governance solutions provide a comprehensive suite to help organizations better understand and build their governance solutions. The book also identifies new and innovative approaches that are developed by IBM practice leaders that can help as you implement the foundation capabilities in your organizations.
Table of contents
- Front cover
- Notices
- Preface
- Chapter 1. Information Governance: foundations and solutions
- Chapter 2. Information Governance organizational structures
- Chapter 3. Business definitions and policies in IBM InfoSphere Information Server
- Chapter 4. Workflows and business specifications
- Chapter 5. Metrics and measurements
- Chapter 6. Business drivers for information governance
-
Chapter 7. Data Quality
- 7.1 What is Data Quality?
-
7.2 Data quality scenario
- 7.2.1 Assess existing application and associated processes
- 7.2.2 Identify data owners: Data stewards
- 7.2.3 Perform data quality assessment
- 7.2.4 Work with data stewards to establish rules for data validation
- 7.2.5 Work with data stewards to establish match criteria
- 7.2.6 Perform lifecycle of application development, user, and acceptance testing
- 7.2.7 Design new and improve existing processes for managing de-duplication
- 7.2.8 Organization structures, roles, and responsibilities
-
Chapter 8. Information Lifecycle Management
- 8.1 What is ILM
-
8.2 ILM: Decommissioning
- 8.2.1 The high-level steps to enterprise decommissioning
- 8.2.2 Understand the information: Assess the application landscape
- 8.2.3 Organization structures, roles, and responsibilities
- 8.2.4 New decommissioning policies and processes
- 8.2.5 Refine program and communicate
- 8.2.6 Implement technologies to support the new IG capability
- 8.2.7 Recruit and enable resources
- 8.2.8 Decommission applications
- 8.2.9 Build into an operational capability
- 8.2.10 Monitor, measure, and report
-
Chapter 9. Test data management
- 9.1 Provisioning
- 9.2 Privatization
- 9.3 Approach
- 9.4 Assessment
- 9.5 Gap Analysis: Aligning capability and maturity
- 9.6 Organizational alignment
- 9.7 TDM definitions, policies, and processes
- 9.8 Alignment of technology capabilities
- 9.9 Operationalizing your TDM/DP approach
- 9.10 Value-based measurements and monitoring
- Chapter 10. Master Data Management
- Chapter 11. Data protection and security scenario
- Appendix A. Additional material
- Related publications
- Back cover
Product information
- Title: IBM Information Governance Solutions
- Author(s):
- Release date: April 2014
- Publisher(s): IBM Redbooks
- ISBN: None
You might also like
book
IBM Information Server: Integration and Governance for Emerging Data Warehouse Demands
This IBM® Redbooks® publication is intended for business leaders and IT architects who are responsible for …
book
IBM WebSphere Information Analyzer and Data Quality Assessment
IBM Information Server is a revolutionary new software platform that helps organizations derive more value from …
book
Metadata Management with IBM InfoSphere Information Server
What do you know about your data? And how do you know what you know about …
book
Aligning MDM and BPM for Master Data Governance, Stewardship, and Enterprise Processes
An enterprise can gain differentiating value by aligning its master data management (MDM) and business process …