5 New Data Integration Requirements for Today’s Data-Driven Organizations

As you strive to compete better in meeting your customers’ needs, data takes the role of a critical asset in improving how you run your company. You work on making better decisions with a complete picture of the business. Bringing all relevant data together enables more breadth and depth in analysis and reveals trends and opportunities with higher accuracy.

The bottom-line impact of data-driven decision making is no longer a speculation. In a recent study, Erik Brynjolfsson an economist at Sloan School of Management at the Massachusetts Institute of Technology, Lorin Hitt, a professor at the Wharton School of the University of Pennsylvania, and Heekyung Kim, a graduate student at M.I.T examined 179 large companies. They found that those that adopted “data-driven decision making” achieved productivity that was 5 to 6 percent higher than could be explained by other factors, including how much the companies invested in technology.

This is certainly good news for those of you who have invested or about to invest in leveraging their data for strategic and operational decision making. However the task of turning large volumes of data into value is not a trivial one. The effort for attaining accurate insights out of large volumes of data gets more complicated as data sources and IT environments change. Especially with big data processing and cloud computing trends, bringing disparate data silos together is now more challenging.

Furthermore, the speed of today’s fast-paced world requires the organizations process all relevant data faster to gain accurate and actionable information that they can incorporate it to operational decision making. With accurate and timely information they can influence operations to create better results for the business, such as cost savings via operational efficiencies or higher revenue via improved customer experience.

At the same time, as businesses operate on a 24/7 basis there is demand from customers, partners and employees for accessing accurate information on a continuous basis and with high performance. This is particularly critical requirement for cloud service providers as many businesses and users depend on their availability. Thus, the new trends that affected how and where we run our systems also changed the requirements for data integration technologies.

You need data integration solutions that move and transform any data from any source, stored on premise or cloud, with maximum performance to deliver 24/7 access to timely and trusted information. Oracle’s data integration product strategy is aligned with fulfilling these fundamental requirements via a complete product offering that delivers:
  • Pervasive access to any data of any source, on premise or in the cloud
  • Continuous access to information with maximum availability and performance
  • Improved data accuracy with timely data analysis and high data quality

Oracle executes on this strategy with a portfolio of integrated data integration products: Oracle Data Integrator, Oracle GoldenGate, Oracle Enterprise Data Quality, and Oracle Data Service Integrator. You can read more about the recent data trends, related data integration requirements, and how Oracle’s data integration products are designed to address these new requirements in our new white paper: Five New Data Integration Requirements and How to Meet them with Oracle Data Integration.

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