Big Analytics Company Launches to Help Enterprises Draw Value from Massive Amounts of Data, Achieving Results Ranging from Cost Savings to New Product Offerings to Consumer Intimacy
MT VIEW, Calif. – February 5, 2013 — Think Big announces today a $3 million dollar seed round lead by Angel Investor Daniel Scheinman with participation from WI Harper Group. The company provides data science and engineering services that enable customers to accelerate their time to value from Big Data. At a time when the volume, variety and velocity of data being generated is increasing at exponential rates, Think Big’s unique methodology helps harness and analyze the data to ensure companies realize business outcomes quickly and efficiently. Think Big will use the proceeds of the financing primarily for the expansion of its data science and data engineering teams.
Since the birth of Google’s MapReduce and the open source community’s gift of Hadoop, software vendors have proliferated the market with Big Data products that build on Hadoop and NoSQL technology. Vendor-neutral Think Big collaborates with each customers to prioritize initiatives and identify technical and skills gaps. Think Big consultants then work in nimble, agile teams to assemble the best architecture and applications that generate results for clients.
“Data is just data unless you have the right analytics to extract the information you didn’t know you were looking for,” said Rick Farnell, Co-Founder and President of Think Big. “To achieve this, there are very complex Big Data technologies and techniques that need to be navigated, and more coming online every day, so Think Big brings the right talent to select, plan and complete projects in weeks, not months,” added Ron Bodkin, Founder and CEO of Think Big.
“Data obesity is a growing problem amongst companies in this era of Big Data, but without the right implementation and unbiased analysis, the data collected is useless. Think Big’s team, methodology and onshore presence make it one of the few providers that are able to rapidly and effectively deploy Big Analytics as a service. Their work with leading Fortune 100 companies were immediate indicators of their talent that we couldn’t ignore,” said investor Daniel Scheinman.
To help enterprises realize sustainable advantages, operational efficiency and other measurable results, Think Big offers services, including:
- Brainstorming and project prioritization
- Analytics design and organizational readiness
- Proposed Big Data architecture
- Side-by-side mentoring and classroom training
- Knowledge building to ensure staff can configure, administer, manage Big Data investments
- Selection and assembly of correct components for architecture
- Tailored solution to fit client architecture, data, workload and use case