Big Data Solutions

Overview

VisionSoft delivers advanced Big Data and Analytics solutions powered by SAP HANA, Hadoop, and Apache Spark to help organizations transform enterprise and unstructured data into actionable insights. Our platform enables real-time analytics, data-driven decision-making, and improved business performance across revenue, margins, and operating expenses. The solution combines SAP HANA’s high-speed analytics with Hadoop’s scalable data storage capabilities, providing a cost-effective framework for processing massive volumes of structured, semi-structured, and unstructured data. Through cloud-based deployment, machine learning, predictive analytics, data federation, and interactive dashboards, organizations can rapidly build, test, and scale enterprise-grade analytics environments. Our Big Data offering includes Hadoop Clusters, SAP HANA Appliances, Hadoop-HANA Integration, Data Federation, and Real-Time Reporting & Dashboards, delivering a reliable, scalable, and high-performance analytics platform for modern enterprises.

Value Proposition:

Features and Functions

Big Data solution offers a pre-packaged SAP HANA/HADOOP extension:

Solution Framework

Big Data solution is a rapid deployment solution which is designed to provide Real-time Analytics on Big data distributed across several clusters.

Case #1: Improving Genome Analysis – MKI, Japan

Genome analysis is the technique used to determine and compare the genetic sequence (e.g. DNA in the chromosomes).

MKI ( ran same-query comparisons between SAP HANA and a conventional database, and SAP HANA completed one process 400,000 times faster. MKI saw that SAP HANA could become the foundation for a real-time genome analysis platform by incorporating SAP HANA with R Integration and Hadoop to store, pre-process, compute, and analyze data.

Case #2:Case Study (Global FMCG) – Integrated Enterprise Data with Big Data real time…

Integrate downstream data to drive increased sales, efficiencies to working capital, and customer collaboration in the area of Supply Chain, Marketing, Customer Management and Predictive science. For example, Consumer companies can use the solution to