BIG Data Discovery: 5 Easy Steps to Value
Francis Han, General Manager, ASEAN, Business Analytics
BIG Data Discovery: 5 Easy Steps to Value
Big data is poised to reshapeindustries- ranging from healthcare to retail to financial services. However, the actual individuals on the ground are faced with challenges.
People have been using Hadoop to collect colossal amount of data. But how do they make sense of what they have collected?
Oracle Big Data Discovery, the visual face of Hadoop, is able to sift through the massive data using the Entropy Sampling technique. It is the game changing platform that eliminates confusion by creating a clear and quick path to value.
Using visual analytic capabilities, Oracle Big Data Discovery works natively with Hadoop to transform raw data rapidly into business insights in 5 easy phases.
1) Find: Pinpoint Relevant Data
A retail analyst who wants to improve the results of a marketing campaign has lotsof potential data to sift through—customer tweets, loyalty program details, contactcenter complaints and more.
However, determining which of that data is timelyand trustworthy isn’t easy.
Using the intuitive interface of Oracle Big Data Discovery, the analyst can navigatea rich catalog of all the raw data in a Hadoop cluster and quickly identify what’s relevant. Searching the data is as easy as shopping online.
2) Explore: Understand Data Potential
Understanding the potential value of data consumes a lot of analysts’ time.
For instance, an analyst for an auto manufacturer seeking to streamline its
manufacturing processes would likely endure many false starts when exploring themass of information related to the engine-building process, from poorly scheduledlunch breaks to disconnects between suppliers.
Oracle Big Data Discovery dramatically speeds the data exploration process.
Analysts can sort by information potential, with the most interesting attributesappearing first.
In addition, analysts can easily experiment with differentcombinations of data to understand correlations, so they can rapidly determinewhether the data set is worthy of more attention.
The system also helps themquickly get a handle on data quality and other key elements, preventing time andmoney from being wasted on projects with limited potential.
3) Transform: Intuitive, User-Driven Data Wrangling
Typically, data in Hadoop needs to be manipulated and prepared before it canbe used for analytics. With Oracle Big Data Discovery, analysts use an intuitivespreadsheet-like approach to transform big data for use in analytics.
At the sametime, the data can be enriched to infer location and language or detect topics,themes and sentiment buried in the raw text.
Rather than spending 80 percent of their time on data preparation, analysts canquickly transform even massive volumes of big data, making it available for theentire enterprise and freeing them to spend the bulk of their time on analytics.
4) Discover: Unleash Creativity
Discovering big data insights requires creativity, which can be difficult
to hire for or developed in-house.
With Oracle Big Data Discovery, enterprises can getmore out of their analytics talent through tools that automatically blend data fordeeper perspectives and help analysts see new patterns in rich, interactive datavisualizations.
For example, if a telecom analyst wants to investigate the reasons for customer churn, he can use Oracle Big Data Discovery to mash up or join different datasets.
This will reveal a whole new perspective; for example, it might show that
customers in a certain geographic region using a certain handset are canceling their accounts because of a technical glitch that is disrupting service.
The data also can be filtered with keyword search and guided navigation, providingthe consumer-like experience that users increasingly demand today from even themost complex enterprise technology.
5) Share: Drive Collaboration
Oracle Big Data Discovery fulfills the promise of democratizing big data analytics by enabling the results to be shared and published.
Suddenly, the information can become a focal point of enterprise collaboration and collective discovery.
Teams can share projects, bookmarks and galleries of snapshots, enabling them to collaborate and iterate.
Analysts, meanwhile, can publish their data transformation and enrichment results back to Hadoop, securing the work they’ve done to maximize the value of the data.
Big Data: Finally, the Value Is Now
With Oracle Big Data Discovery, businesses can rapidly turn raw data into actionable insights without relying solely on specialized talent.
They can extend the alchemy of big data to more people in the enterprise, creating entire teams that work collectively on insight discovery, improving the efficiency and extending the expertise of their existing analytics staff.
In short, with Oracle Big Data Discovery, businesses now have a platform that can enable their own transformation; they can embrace analytics and use new insights—hidden in big data—to make strategic and game-changing decisions quickly, ensuring their success well into the future.
