Turkcell İletişim Hizmetleri A.Ş. “Turkcell manages 100 terabytes of compressed data—or one petabyte of uncompressed raw data—on Oracle Exadata. With Oracle Data Mining, a component of the Oracle Advanced Analytics Option, we can analyze large volumes of customer data and call-data records easier and faster than with any other tool and rapidly detect and combat fraudulent phone use.” – Hasan Tonguç Yılmaz, Manager, Turkcell İletişim Hizmetleri A.Ş. See link for Customer Success full story. Podcast
Hong Kong Broadband Network Limited ""We needed a versatile, integrated data warehouse architecture to improve our decision-making processes and enable our ongoing success. Oracle Communications Data Model enables our users to spend time analyzing data rather than collecting it. The results are clear in accelerated market-share gains and reduced churn." —Jesse Chan, Director, Information Technology Department and Business Support Systems, Hong Kong Broadband Network Limited
NTT Comware Corporation " Oracle Communications Data Model covers a wide range of business areas that are relevant to modern communications service providers and is a comprehensive solution—with its data model and pre-packaged templates including BI dashboards, KPIs, OLAP cubes and mining models. It helps us save a great deal of time in building and implementing a customized data warehouse and enables us to leverage the advanced analytics quickly and more effectively." —Yasuki Hayashi, executive manager, NTT Comware Corporation
BMW Oracle Racing "Imagine standing under an avalanche of data - 2500 variables, 10 times per second and a sailing team demanding answers to design and sailing variations immediately. This was the challenge facing the BMW ORACLE Racing Performance Analysis Team every sailing day as they refined and improved their giant 90 foot wide, 115 foot long trimaran sporting the largest hard-sail wing ever made. Using ORACLE DATA MINING accessing an ORACLE DATABASE and presenting results real time using ORACLE APPLICATION EXPRESS the performance team managed to provide the information required to optimise the giant multihull to the point that it not only beat the reigning America's Cup champions Alinghi in their giant Catamaran but resoundingly crushed them in a power display of high speed sailing. After two races - and two massive winning margins - the America's Cup was heading back to America - a triumph for the team, ORACLE and American technology." —Ian Burns, Performance Director, BMW ORACLE Racing Team
George P Johnson and Oracle Corporation "At George P Johnson, we design, implement, and manage experiences worldwide. For Oracle OpenWorld, we manage the content and collect registration and session attendance data for over 40,000 attendees. With all this data, we partnered with Oracle to leverage Oracle Data Mining's ability to mine OpenWorld abstracts, comments, and attendee data, combined with in-database mining to produce a list of the most relevant sessions to individual attendees to help maximize their conference experience." —Steven Boval, Vice President, Technology Worldwide, George P. Johnson
Argonne National Laboratories Argonne National Laboratories predicts protein crystallization propensity from protein sequence using Oracle Data Mining. "Using statistical analyses we have identified a set of the attributes correlating with a protein's propensity to crystallize and implemented a Support Vector Machine (SVM) classifier based on these. We have created applications to analyze and provide optimal boundary information for query sequences and to visualize the data. These tools are available via the web site http://bioinformatics.anl.gov/cgi-bin/tools/pdpredictor ." Click here to read paper.
Philips IP&S and Treparel "By classifying the patents, Philips IP&S is better able to analyze the patent landscape of technologies and companies. This detailed knowledge is of great strategic and commercial importance and value to Philips for the filing of new patents. Since quite some years, we have been searching for various solutions to assist us in the automatic classification of patents", says Gerard van der Ligt, Director Business Intelligence of Philips IP&S. " ... We are now able to work faster, more efficient, but foremost, we can tackle complex jobs that were impossible to do by humans before...Classification of patents has always been done by humans up to this point. ...the process can be partly automated combined with a very high precision and recall. ... Treparel has developed a special application based on Treparels proprietary technology (KMX) combined with that of Oracle Data Mining and its powerful in-database Support Vector Machine algorithm." —Paul Wijdicks, Chief Commercial Officer at Treparel
Xerox Corporation "...Because data mining algorithms and the data are housed together in the Oracle database, we don't have to move huge data sets to external programs to run the algorithms and learn something about our data...The fact that it cost about 75 percent less than the leading competitor didn't hurt either...." —Tracy E. Thieret, Ph.D. Principal Scientist Xerox Innovation Group Imaging and Solutions Technology Center
Walter Reed Medical Center "...Using...Oracle Data Mining, medical researchers are discovering trends and patterns that will improve the health care for millions of people around the globe." —Dr. Carolyn Hamm, Director of Decision Support, Walter Reed Medical Center. "Saving Lives with Oracle"
Internal Revenue Service Detecting taxpayer noncompliance.
Stuart Maue, Inc. "With over 3,500 submissions per month for payment (or... about $200 million of legal invoices per month..), we at Stuart Maue, (a St. Louis based legal services firm and winner of the 2006 DM Review Business Intelligence award), sought to automate and improve our review, categorization and investigation of possibly non-compliant legal submissions process. Besides this being a very labor intensive process, spotting potential fraudulent or erroneous submissions for payment can mean millions of dollars of savings to Stuart Maue and our clients. Oracle Data Mining allows us to mine our structured and unstructured Oracle-based data, automate the process, respect security schemes, scale to large volumes, and most importantly, saves us time and money." —Bradley Maue, CIO Stuart Maue, Inc.
Rexer Analytics "Keeping one's data in the warehouse/mart, and not having to extract data for modeling can greatly simplify model development, model scoring and general security issues. This capability is relatively new for most data mining tools. I've been impressed with the data mining functionality that Oracle has recently built into 10g.> They even have a nice GUI that can be used to access all the algorithms, as well as to manipulate the output (all the usual stuff you'd expect from a data mining tool: interactive lift curves, etc.). The integration of data mining the database doesn't get any easier than doing the mining right in the database. And in terms of functionality and total cost of ownership, Oracle Data Miner is a great option, especially for companies that are already storing their data in Oracle warehouses/marts." —Karl Rexer, Ph.D., Rexer Analytics www.RexerAnalytics.com
Management Information Analysis " The Oracle Data Mining and Oracle's SQL statistical functions have enabled us to take patient segmentation studies to a new, more granular level. Healthcare research involves notoriously complex data. The number of possible variables is essentially unlimited. The number of encounters of our population with healthcare providers is voluminous. Oracle Data Mining working with an Oracle database handles both with aplomb. A rich feature set, the ability to control whether false positives or false negatives are to be avoided, and the easy ability to apply models to new datasets make ODM an important tool in our arsenal. Given that many companies manage their data in Oracle, it is now easy to also analyze the data there too." —K.C. Cerny, Managing Partner. Management Information Analysis, www.mia-consulting.com