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.

Monday Apr 22, 2013

Enterprise Data Quality: A Key Requirement for Data Integration and Beyond...

If you've been following the recent Oracle Data Integration blogs, then you're no stranger to our latest paper on the five key data integration requirements. Yet, what we haven't mentioned yet is the importance of data quality.  Enterprise data is changing constantly, take a look at the graphic below and you will see what I  mean.  Data degrades at a rapid fire pace and an enterprise-level data quality solution is key to maintaining the trustworthiness as well as reliability in order to make sound business decisions from it. 

As a key component of Oracle Data Integration product family, Oracle Enterprise Data Quality complements Oracle's integration technologies by providing the key steps around cleansing, standardizing, governing and matching information.  In addition, Enterprise Data Quality works with Oracle Master Data Management to help ensure that information inserted into multi-domain hubs is relevant, analyzed and accurate.  One of the key features of Enterprise Data Quality is its on-going governance capabilties, bolstered by case management and dashboards for auditing, profiling, and parsing information - across customer and product data.  The benefits of these features are that users have access to analyze data quality trends over time, continuous monitoring (user established) and rapid discovery of data faults.  Oracle Enterprise Data Quality provides a manageable footprint in the enterprise for both MDM and data integration initiatives.. It acts as as the perfect starting point for understanding the current state of data.  For more information on Oracle Enterprise Data Quality click here

Wednesday Mar 21, 2012

Oracle Enterprise Data Quality: A Leader in Customer Satisfaction

 It’s always good to hear feedback from practitioners – the ones who are in the trenches who have experienced both the good and the bad sides of enterprise software.   Gartner recently released a report which surveyed 260 data quality professionals from around the world and found that most expressed considerable satisfaction as a whole from their data quality tool vendors.  However, a couple of key findings stand out which include, Datanomic (acquired by Oracle), leading the pack in terms of overall customer satisfaction among data quality tools.  Read all about it right here http://bit.ly/Ay45SG

See full size image

Friday Jul 15, 2011

Oracle to Announce Datanomic Integration Plans

In my last blog, I talked about some of the exciting new capabilities the Datanomic acquisition will bring to the Oracle data quality family.  Specifically, Oracle has outlined plans for incoporating this new data quality technology in to their stack.  We are proud to announce a unique webcast designed to discuss these plans and outline a strategy overview so that our customers and partners understand how Datanomic fits into our data quality strategy as well as hear from customers directly on how this technology helped them tranform their business.   This webcast will focus on 3 key areas:

  • Importance of data quality in meeting compliance/regulatory  mandates
  • The multitude of uses cases for data quality in customer or product data in the enterprise today
  • Oracle's most current strategy for Data Quality

You won't want to miss this webcast which features the following speakers: Michael Weingartner, Vice-President, SOA Development, Dain Hansen, Director of Product Marketing, Fusion Middleware and Martin Boyd, Senior Director, Data Quality Strategy.

Join us on July 19, 2011 at 8 AM PT/11 AM ET to hear about Oracle's plans to incorporate Datanomic technology.  Register now.  

Wednesday Jul 06, 2011

Oracle acquires Datanomic and Expands Data Quality

Data quality has historically been an after thought in the enterprise. Organizations often have to be convinced that trusted information, of high data quality arms the enterprise with information consistency, quality and authoritative data for improved, actionable business insight.  Oracle recently announced the acquistion of Datanomic, a leading provider of customer data quality software and related applications for risk and compliance screening. 

As a visionary in Gartner's MQ for Data Quality, Datanomic brings exciting, new capabilities to Oracle's Data Quality solutions. Namely, as part of Oracle's data integration and master data management (MDM) solution, Datanomic provides best-of-breed capabilties in data analysis, profiling, standardization, cleansing and match-merge that apply to any industry need.  Customers can look forward to the combination of Datanomic technology and Oracle Data Quality to deliver improved data integrity across the enterprise, and lower the cost and complexity of managing data.  Oracle Data Quality welcomes Datanomic, and stay tuned for more in data quality from Oracle...

Tuesday May 24, 2011

What’s New in the Data Integration Market?

Data integration is essential to many strategic IT initiatives including master data management (MDM), modernization, and service-oriented architecture (SOA). That’s why it is not surprising that the data integration market continues to grow in its size, importance and impact on enterprise information systems. The technology has evolved from simple extract, transform, and load (ETL) procedures to include real time data movement, bi-directional replication/synchronization along with data quality and data profiling and data services.

 The user base for data integration tools has also evolved from low-level technology for developers and DBAs to high-level environments for operations staff, data stewards, business analysts and enterprise architects. In short, what was once merely the background “plumbing” underlying our information systems now influences just about every aspect of IT, and touches just about every type of stakeholder.

 In a new white paper we have examined the state of the data integration market including the trends in business intelligence, data warehousing, data quality, consolidation, cloud computing and IT modernization initiatives that are driving data-intensive projects. You can access this brand new white paper along with other data integration focused white papers and resources here.

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