Oracle Advanced Analytics Customer Success Stories
“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.
“Oracle Advanced Analytics’ data mining capabilities and Oracle Exalytics’ performance really impressed us. The overall solution is very fast, and our investment very quickly provided value. We can now do so much more with our data, resulting in significant savings for the NHS as a whole.”
– Nina Monckton, Head of Information Services, NHS Business Services Authority
"Chose Oracle Advanced Analytics, Excellent fit with existing BI / IT infrastructure."
– Mahesh Jagannath, Sr. Manager Business Intelligence
dunnhumby outlined the how and why of data warehousing and advanced analytics on Exadata this year in their presentation at Open World. Oracle engineered systems delivered a performance improvement of more than 24x. Dunnhumby pushes its data warehouse platform with more than 280 billion fact rows and 250 million dimension rows for one large retailer client alone. This kind of massive data requires the best performance the industry has to offer.
"Big data is having a tremendous impact on how we run our business. Oracle Database and its various options, including Oracle Advanced Analytics, combine high-performance data-mining functions with the open source R language to enable predictive analytics, data mining, text mining, statistical analysis, advanced numerical computations, and interactive graphics, all inside the database."
-- Mike Barber, Senior Manager of Data Science, StubHub
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 in 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.
"We have chosen Oracle Advanced Analytics to successfully implement and replace a full Statistical workflow. With new Oracle R Enterprise 1.4, we were able to execute computations on thousands of attributes in parallel that was impossible or very slow with open-source R, and we completed our workflow with the Oracle Data Mining easy-to-use GUI for in-Database modeling."
— Karlo Kovacic, BI Director, Zagrebačka banka (ZABA)
Argonne National Laboratories predicts protein crystallization propensity from protein sequence using Oracle Data Mining. Using statistical analyses, they have identified a set of attributes correlating with a protein's propensity to crystallize and implemented a Support Vector Machine (SVM) classifier based on these. Argonne created applications to analyze and provide optimal boundary information for query sequences and to visualize the data.
"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
Check-Level Analytics is one of the tools Darden plans to use to boost sales and customer loyalty, while pulling together data from across all its operations to show how they can work together better. After a reassessment of the company's enterprise data warehouse, White's team decided to stick with its Oracle database and MicroStrategy data visualization and exploration tools. But it brought in some new tools, including Oracle Data Miner and Oracle R Enterprise, both included in the Oracle Advanced Analytics option to Oracle Database, to spot correlations and meaningful patterns in the data.
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