Oracle's #2 big data prediction out of the 10 predictions for 2016 is experimental data labs will take off. With more hypotheses to investigate, professional data scientists will see increasing demand for their skills from established companies. For example, watch how banks, insurers, and credit-rating firms turn to algorithms to price risk and guard against fraud more effectively. But many such decisions are hard to migrate from clever judgments to clear rules. Expect a proliferation of experiments default risk, policy underwriting, and fraud detection as firms try to identify hotspots for algorithmic advantage faster than the competition.
Watch how the CERN European Lab Project's data scientist has delivered self-service analytics flexible enough for engineers to better research the physics of particle collisions in the universe by providing a full picture of the overall status of the accelerator complex. Oracle Big Data Discovery facilitates the data exploration and leverages the power of Hadoop to transform and analyze large amount and variety of data.
Another sign that the experimental data labs will take off into data factories of production is from the big data survey Oracle conducted in August 2015 that had 633 global IT decision makers respondents to gauge capabilities. 64% of all global respondents stated that they are able to use big data in real-time as competitive advantage. However, only 45% respondents in the Asia-Pacific region agreed they can respond with big data in real-time.
Watch StubHub's principal architect discuss on how they use Oracle Advanced Analytics to understand its customers in its online marketplace. Analysis times are much shorter, setup was fast and easy, and data scientists like the integration of R with the data warehouse. All fans the choice to buy or sell their tickets in a safe, convenient, and highly reliable environment.
Read why StubHub senior manager of data science declares, “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.”
Learn how other customers are capitalizing on big data and what analysts are saying now at oracle.com/big-data.