- Is the company focusing on data storage, strategic data analysis, real-time data analysis, or line-of-business visualization? As companies move up this scale of Big Data needs, they progress from pure cloud or server-based storage to a Hadoop or data warehouse implementation and eventually to a visualization solution that can directly show these results to line-of-business employees. Storage is relatively straightforward, but the need for real-time performance and line-of-business insight allows the value of Big Data to scale.
- What level of context does the company really need? If companies are simply looking for sentiment analysis associated with unstructured voice or social media traffic, they actually may not be looking for the traditional “Big Data" solutions. Instead, they actually may be looking for voice analytics or social media monitoring solutions. It is only when companies are ready to analyze these data sources in context of CRM, ERP and other enterprise data sources that the world of Big Data products starts to come into play. But companies need a basic understanding of their data before they are ready to fully dig into the insight of Big Data.
- Does the company need to integrate Big Data and traditional data analytics approaches? Big Data potentially can become a new IT silo that creates its own headaches and problems if the infrastructure and management are completely separated from the traditional analytics team. Companies need a data integration road map to make sure that these new Big Data tools can be connected to all relevant enterprise applications and data repositories.
By asking a couple of specific questions about the types of Big Data that a company is trying to achieve, channel partners can discover whether there are Big Data solutions that align to their current business and become a trusted partner to companies seeking to better understand their own needs for Big Data.
Hyoun Park is a principal analyst at Nucleus Research where he conducts and oversees primary investigative research on analytics, big data, business analytics, social software and enterprise mobility. He combines his telco, sabermetrics, social networking and expense management backgrounds to describe key value propositions associated with analytics and emerging business technologies. Park holds a bachelor's degree in women's and gender studies from Amherst College and a master's degree in business administration from Boston University.
FOR MORE INFORMATION
Hear more from Nucleus Research's Hyoun Park in the two-hour session, "Big Data — What's the Big Deal and How Can Its Power Be Harnessed in the Cloud?," at the Channel Partners Conference & Expo, Sept. 12-14, in Orlando.