BigData Summit

Big data. It just keeps getting bigger. Why? Because top management’s attention is laser-focused on big data as the solution to many corporate problems.  More actions at CIO Big Data summit at New York on first week of May'13.

Gartner Sales Performance Analyst Patrick Stakenas. “There’s no question that big data is the biggest trend in business intelligence, and it will remain that way for the foreseeable future. But it’s not just an IT issue. It’s a management issue. Relying too much on big data analytics risks losing the personal approach to selling.”

The huge stores of data that companies have accumulated haven’t added true value to the enterprise yet, because data requires context in order to be useful. Context includes a clearly articulated business strategy for using the data, an understanding of competitive shifts, an understanding of the market’s perceptions about your company and your products, and much, much more.

Gartner’s Laney says, for example, that social media is a great source of data and information about customers, but it can cause real problems for executives unless it’s put into context.

Even after all the data is collected and analyzed, there’s still one more pitfall to look for, adds Adam Sarner, Gartner’s big data and CRM analyst. “The successful big data project isn’t about collecting massive amounts of this data,” Sarner says. “It’s about making the right information accessible and action-oriented for the company and the customer for core CRM.”

Big Data Splunk

The initial focus of 'big data' has been about its increasing volume, velocity and variety — the "three Vs" — with little mention of real world application. Now is the time to get down to business.

Splunk is the platform for machine data. It’s the easy, fast and resilient way to collect, analyze and secure the massive streams of machine data generated by your IT systems and technology infrastructure—whether it’s physical, virtual or in the cloud.

Splunk software collects machine data securely and reliably from wherever it’s generated. It stores and indexes the data in real time in a centralized location and protects it with role-based access controls. Splunk lets you search, monitor, report and analyze your real-time and historical data

451 Research, and three "real world" case studies of Splunk customers handling the variety and velocity of their ever increasing unstructured data. 451 Research believes that in order to deliver value from 'big data', businesses need to look beyond the nature of the data and re-assess the technologies, processes and policies they use to engage with that data

Oracle Big Data

Enterprise systems have long been designed around capturing, managing and analyzing business transactions e.g. marketing, sales, support activities etc. However, lately with the evolution of automation and Web 2.0 technologies like blogs, status updates, tweets etc. there has been an explosive growth in the arena of machine and consumer generated data. Defined as “Big Data”, this data is characterized by attributes like volume, variety, velocity and complexity and essentially represents machine and consumer interactions

Big data analytics lifecycle includes steps like acquire, organize and analyze. The analytics process starts with data acquisition. The structure and content of big data can’t be known upfront and is subject to change in-flight so the data acquisition systems have to be designed for flexibility and variability; no predefined data structures, dynamic structures are a norm. The organization step entails moving the data in well defined structures so relationships can be established and the data across sources can be combined to get a complete picture.

Oracle offers the broadest and most integrated portfolio of products to help you acquire and organize these diverse data sources and analyzes them alongside your existing data to find new insights and capitalize on hidden relationships. Attached diagram helps you to understand how Oracle acquire, organize, and analyze your big data.