Thursday Aug 15, 2013

Putting Data to Work Using Enterprise Data Quality

Data Quality is a hot new topic that may not get covered much on our data integration blog [we’re now changing that!]. Oracle Enterprise Data Quality an essential element in the data integration portfolio. You can think of Oracle Enterprise Data Quality as your favorite one-size-swiss-army-multitool which can be applied to any number of data management and governance situations. These cases range from Master Data Management, application integrations, system migrations, BI and data warehousing, and finally governance, risk and compliance solutions. Let’s look at a couple of examples for each case:

  • Master your Data. No matter the type of information you are mastering and syncing—product, customer, supplier, employee, site, citizen, or any other type—you need a data quality process for initial cleanup and load as well as for ongoing duplicate prevention and governance. A sophisticated MDM program will even verify data as it is entered into spoke systems, preventing data quality problems at the source. For some organizations, the idea of implementing a data hub is just too daunting. Implementing an enterprise data quality (EDQ) solution to clean up legacy systems and drive consistent standards won’t deliver as much benefit as a true MDM solution, but it’s a cheaper, faster alternative that can help in the short term and pave the way for a more comprehensive MDM strategy down the road.
  • Drive Application Innovations. Business applications are only as useful as the data they present. The more complex your application landscape, the more likely you are to need a data quality program to drive consistent data across all your systems. EDQ solutions can clean up legacy systems and put preventative verification and governance processes in place to ensure a steady stream of high-quality data for all kinds of systems, such as customer relationship management, human resources, product lifecycle management, and search (especially for solutions based on Oracle Endeca, which thrives on well-structured, well-standardized data).
  • Simplify Migrations. Merging disparate data from many sources requires a disciplined approach to profiling, discovery, standardization, match, merge, case management, and governance. EDQ solutions pave the way to a smooth implementation by providing the tools you need to make sure you maintain data quality as you migrate systems.
  • Improve Business Insights. As with other business applications, BI is a case where putting garbage data in means you’ll get garbage data out. EDQ solutions can be used to standardize and deduplicate the data being loaded into a data warehouse.
  • Deliver on Compliance. Regulatory compliance of all kinds—including policies related to taxes, privacy, antiterror, and antimoney-laundering—require matching up data pulled from a variety of sources. With EDQ solutions, organizations can meet regulatory mandates with capabilities that support everything from simple deduplication of customer lists to matching data against government lists of suspected terrorists.

You can learn more about our Enterprise Data Quality multitool in our upcoming webcast! Unlike swiss army knives it is guaranteed never to rust or stop you in an airport metal detector.

Watch Putting Data to Work Using Oracle Enterprise Data Quality Solutions on Tuesday, August 27 at 10:00 a.m. PT, and learn more about the Oracle Enterprise Data Quality suite of products.

Tuesday Oct 25, 2011

Enabling Data Governance with Oracle Enterprise Data Quality

Data Governance is one of those terms in the IT ecosystem with a pretty nebulous definition. It can mean different things to different people and depending on who you ask it's as simple as extra monitoring of your business process with some additional auditing for IT processees.  On the other hand, it can be defined as the point where data quality, data management, data policies, business process management, and risk management converge in terms of the handling of data in an organization.  Data Quality is an important component of Data Governance, for that matter to any type of IT initiative - Business Intelligence, Data Warehousing or Master Data Management, and enables organizations do a better job of governing their data in the following ways:

  • Brings clarify and transparency to data
  • Ensures high data quality for enterprise IT systems that need it
  • Provides data control and standardization

Oracle Enterprise Data Quality is a data quality solution that handles both customer and product data and has unique approaches geared to handling the unique characteristics of each data domain.  In addition, it plays an important role in helping organizations manage data quality as part of data governance projects by ensuring that data of poor data quality is cleansed, standardized and ready to meet compliance mandates, there by making sure that "dirty data" does not cascade throughout the enterprise and infiltrate IT systems.  Join us on a webcast on this very topic - October 27, 2011 at 10 AM PT and learn how Oracle Enterprise Data Quality can help give you the tools you need to drive your Data Governance projects forward to completion.  Register today for this webcast.

For more information on Oracle Enterprise Data Quality visit us here.

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