In today’s information-centric era, unprecedented growth in the volume, variety and velocity of data means integrating trusted information is critical to ensure that business projects and key analytics initiatives will be successful. If records have errors, defects or omissions, vital transactions can be lost. Industry surveys report that up to 70 percent of major companies currently experience defective data in substantial volume, resulting in billing inaccuracies, loss of revenue and misinterpreted results. IBM’s data integration portfolio offers you agile integration, business-driven governance and sustainable data quality.
“ An effective information supply chain can help companies enhance customer satisfaction, increase management control and improve business results. ”
Dan Wolfson, IBM Distinguished Engineer, Master Inventor
The concept of data quality has evolved. Eliminating duplicate records and standardizing addresses are only part of the solution. To make use of new business intelligence and decision support tools, users need an aggregated view of enterprise data that is consistent, complete, accurate and timely. Access must be enabled without being restricted by variations in format or source (for example, much of today’s data is unstructured, such as the free-form text entered by customers using social media or web applications). In short, preparing disparate enterprise data for a unified enterprise view is the principal function of information integration and quality monitoring.
To learn more, please read Dan Wolfson's post on information integration on the Smarter Computing Blog.
IBM offers one of the most robust and effective platforms in the industry for data integration and quality control. The first step is to fully understand your data environment. You need to discover and profile information, capture metadata and establish new relationships between data assets for richer understanding and usage. Next, you need to integrate and cleanse, enabling access to all types of information sources, even unstructured data. Then, distribute access to integrated data, unifying and integrating information across applications, services, sources and formats in whatever way best meets the business requirement. Finally, you need to manage integrated data, establishing operational and corporate governance policies for the management of information assets, along with facilities to monitor policy conformance and information usage.
With data integration, you can see significantly higher system performance, increased productivity in critical analysis, design, development and management functions, increased quality, a common business vocabulary and enhanced organizational agility because information assets will be readily available for future use and transformation.
Built on a unified platform and driven by proven data integration methodologies, IBM InfoSphere Information Server for System z and Power helps organizations derive more value from the complex, multi-platform information spread across their infrastructures – from mainframe and distributed data sources alike.
Through InfoSphere Information Server, your organization can integrate disparate data and deliver trusted information consistently and securely wherever and whenever it’s needed, in line and in context, to specific people, applications and processes. This helps business and IT staff better collaborate to establish the meaning, structure and content of any information across any source – then leverage that information in new ways to drive innovation, increase operational efficiency, and lower risk.
Please visit IBM System z to gain more insight for your business. To learn more about information integration, please visit InfoSphere Information Server, with its breakthrough productivity and performance for cleansing, transforming, and moving information. See how these solutions can empower your organization to get more value from your data than ever before.
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Meet the Information Integration expert
IBM Distinguished Engineer, IBM Master Inventor
Dan Wolfson is an IBM Distinguished Engineer and the chief architect/CTO for the InfoSphere segment of the IBM Information Management Division of the IBM Software Group. He is responsible for architecture and technical leadership across the rapidly growing areas of InfoSphere including Tools, Information Integration, Master Data Management, Metadata Management and Industry Models. Dan's previous roles include CTO for Business Integration Software and chief architect for Information Integration Solutions. Dan has over 30 years of experience in research and commercial distributed computing, covering a broad range of topics including transaction and object-oriented systems, software fault tolerance, messaging, information integration, business integration, metadata management and database systems. He has written numerous papers and is the co-author of “Enterprise Master Data Management: An SOA Approach to Managing Core Business Information”. Dan is a member of the IBM Academy of Technology Leadership Team and an IBM Master Inventor. In 2010, Dan was also recognized by the Association of Computing Machinery (ACM) as a ACM Distinguished Engineer.
On the Smarter Computing Blog: Information Integration
Data integration expert Dan Wolfson presents two related posts describing the function and value of data integration and quality monitoring.
Resources for Information Integration
Expertise. Innovation. Results. June 10-14, Las Vegas
Hear Principal Analyst Brian Hopkins discuss how to leverage analytics to drive profit and attract new customers.
Now available on demand