VentureSoft Global: Robust Big Data Solutions for Customer, Product Profitability and Operational Efficiency

“The Big Data landscape lacks the presence of a true end-to-end solution that caters to the specific needs of a company,” starts out Venkat Bhat, Founder and President, VentureSoft Global. He believes that more companies require dedicated reference architecture models that help in building and scaling a solution for future necessities. A growing enterprise can install Big Data systems by either choosing to build an in-house team with a local data warehouse or turn to companies providing Big Data services. The former might involve third-party integrations and assistance, requiring more investment in the solution. Addressing this deficiency, VentureSoft has pioneered comprehensive solutions aiming to solve business challenges arising from Big Data implementations.

“There are a lot of tools, but none are effective enough to address industry pain points. The need of the hour is a reference architecture model to accommodate a single, end-to-end solution,” comments Sathiyan Kutty, Vice President of Analytics, VentureSoft. The company initially tookoff by providing data mining and image processing solutions, and they eventually moved to core Big Data solutions that encompass the latest tools, like NoSQL, Hadoop, and Spark. The reference architecture—built into the company’s solutions—includes business, data, and technical architecture modules. “We align the tools according to these three modules with both predictive and pervasive analytical tools built into the solution,” explains Kutty.

Apart from its managed Big Data services offering, VentureSoft also provides training and consulting through its proven expertise in the Big Data and business intelligence landscape. “We provide corporate training services to our customers in order to help them identify their Big Data requirements. Big Data is a new world for most clients, so we start training them even before the development lifecycle,” articulates Kutty. The services include training in NoSQLdata bases and the Hadoop distributed computing environment. Additionally, the company provides business-level Big Data strategy consulting that helps companies in tweaking or scaling their existing Big Data systems.