Big Data Exploration
What is the Big Data Exploration use case?
Big data exploration addresses the challenge faced by every large organization: business information is spread across multiple systems and silos and people need access to that data to meet their job requirements and make important decisions. Big Data Exploration enables you to explore and mine big data to find, visualize, and understand all your data to improve decision making. By creating a unified view of information across all data sources - both inside and outside of your organization - you gain enhanced value and new insights.
Are you struggling to manage and extract value from the growing volume and variety of data and need to unify information across federated sources?
Are you unable to relate “raw” data collected from system logs, sensors, or click streams with customer and line-of-business data managed in your enterprise systems?
Do you risk exposing unsecure personal information and/or privileged data due to lack of information awareness?
If you answered yes to any of the above questions, the big data exploration use case is the best starting point for your big data journey.
Big Data Use Case - Exploration
Watch as Stacy Leidwinger, Product Manager IBM Big Data, discusses the Big Data Exploration use case, one of the most popular starting points for organizations embarking on their first Big Data project.
4 Key Steps to Exploring Big Data
Listen to the challenges that many organizations face, and the four key steps they should take when beginning a data exploration project.
Big data analytics at North Carolina State University
Watch this demo of a project where NC State and the IBM jStart team applied analytics to large amounts of unstructured data -- big data -- to find suitors for the university to license their patents to.
TDWI Big Data Maturity Model and Assessment Tool
Sponsored by IBM, this big data maturity online assessment tool enables organizations to objectively measure the maturity of an enterprise’s big data analytics program across five dimensions that are key to deriving value from big data analytics: organization, infrastructure, data management, analytics, and governance.
Join the big data conversation
Big data discussions, idea sharing, direct interactions with big data experts, and more happening all day, every day.