Analytics & Data Management

Data management from ShanBioSys Engineering an industry-leading solution built on the SCS Platform that facilitates you improve, integrate and govern your data.

We enable Digital Transformation by providing end-to-end service offerings and industry leading solutions across Aircraft, Airline travel, Automobile, Banking, Engineering, Financial, Logistics, Manufacturing and more.

Our strategic business with IBM, Microsoft, Oracle, SAP and more data management and analytics products.

Digital transformation is the key essence for an enterprise to be successful. Data is the new perspective to traditional business models.

Explore our offerings includes

Analytics Service

Data Governance

Data Integration

Data Monetization

Master Data Management

What are data and analytics?

Revolve faster insight into faster action with unmatched analytics capabilities on a foundation of data you can trust. Adapt easily to today's hybrid data — structured and unstructured, at rest and in motion, on premises, on cloud and in mixed environments. Energize your business with rapid innovation enabled by an open platform built on Hadoop and Spark.

Advanced Analytics

Use advanced analytics to uncover opportunities in all types of data from a variety of sources, within and beyond your organization.

Why advanced analytics?

Advanced analytics enables you to find deeper insights and drive real-time actions. With advanced analytics capabilities, you can understand what happened, what will happen and what should happen. Easily engage both business and technical users to uncover opportunities and address big issues. Operationalize analytics into business processes

Predictive Analytics

Optimize the future with better decisions today.

What is predictive analytics?

Predictive analytics brings together advanced analytics capabilities spanning ad-hoc statistical analysis, predictive modeling, data mining, text analytics, entity analytics, optimization, real-time scoring, machine learning and more.

ShanBioSys Engineering situates these capabilities into the hands of business users, data scientists, and developers.