Big Data projects involve an entirely new set of rules, technologies, techniques and tools compared to other IT-driven initiatives of the last decade. As such, Think Big’s experienced consulting teams are guided by our distinctive Cornerstone MethodologySM and Freestone FrameworkSM, both of which were developed and refined over the course of 4 years and more than 50 Big Data projects.
Our Cornerstone MethodologySM includes our approach and best practices to designing, planning and engineering Big Data projects to ensure they are effective and flexible. Cornerstone MethodologySM deploys an integrated team of data scientists and engineers who collaborate on Big Data projects. They work together to understand our client’s business goals, identify requirements and build, analyze, test and release in quick, 2 week sprints within an 8-10 week development cycle. With each sprint, new data is incorporated and new predictive analytic applications are developed to reduce risk and gather early business feedback. Cornerstone MethodologySM is designed for learning and quick results.
Think Big has invested heavily in its Freestone FrameworkSM, which is an application framework that builds on Apache Hadoop and other open source platform components. Our Freestone FrameworkSM is lightweight and integrates seamlessly with an organization's existing infrastructure to allow faster time to value with Big Data. It includes pre-built components and proven templates for integration and data access. It also embeds tested patterns and best practices that have been refined over our company’s history.
Five Stages of Adoption
Big Data projects present a business imperative that requires active participation by business and technical leaders and their respective teams. We believe there are five stages of Big Data adoption that can lead to true organizational transformation.