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.

VentureSoft has successfully deployed its solutions across several industry verticals like manufacturing, financial, aviation, and pharmaceuticals. “Clients are looking to map resolutions easily and rapidly. This is of great value to them, as it saves time and increases the Return on Investment (ROI) eventually,” says Bhat. VentureSoft’s services have helped their clients leverage the mounting inflow of data to make an impact from the bottomline to the higher levels of operation. An interesting case of a large retail e-commerce firm located in the San Francisco Bay Area depicts the effectiveness of VentureSoft’s solutions. The e-commerce company required integrations to supplement a large investment for their upcoming project. The company was spending close to $100 million in online marketing, and the ROI was constantly decreasing. VentureSoft implemented a Big Data architecture solution, including building ELT, aggregation models, and front-end user level analytics. This helped the company identify the effectiveness of their marketing campaigns and the areas that future spend need to be to effectively capture new customers and retain existing customers. Solutions such as these get VentureSoft’s client closer to what they describe as “Retail Nirvana”.

The need of the hour is a reference architecture model to accommodate a single, end-to-end solution

VentureSoft has been a pioneer in the systems integrations space across varying verticals. Their data science teams and engineers possess the right knowledge and expertise required for tailoring Big Data solutions for growing enterprises. The company’s research and development team is currently testing possible solutions that could leverage the Internet of Things (IoT) in order to increase the amount of data for analysis. “We have a unified approach in all our solutions within the Big Data landscape and our expertise shall continue to grow among our engineers as they work towards quality,” concludes Bhat.