Data Strategy

Building a data platform is a complex task requiring difficult decisions. Making these decisions in a vacuum often leads to theoretical data strategies which don’t translate to action or business impact. Some of the critical decisions which need to be considered carefully to formulate a clear data strategy are:

  • Technology infrastructure and architecture
  • Process and organizational enhancements
  • Ensuring availability of the right skillsets
  • Dealing with continuous generation of structured and unstructured data from internal and external sources
  • Ensuring that data is ingested, organized, stored, and leveraged properly
DATA ASSESSMENT & IDENTIFICATION​

Identify data to understand its complexity and downstream effects Assess data weakness and opportunities, then prioritize next steps for critical business needs Evaluate data in terms of coverage using explicitly stated rules for data inclusion, completeness, consistency, and accuracy

ROADMAP SERVICES

Establish a visual representation of roadmap, covering organization vision with yearly goals Align organization’s metadata, master data, modernization, and data integration across each data management discipline, so they complement each other to address specific project and organizational needs

ARCHITECTURE DESIGN

Create structure and templates, storage and API-driven reference architectures that can be used by cloud applications, business partners, internal and external business functions, to resolve analytical, business, data management, performance, storage, and data life cycle issues

Provide frameworks for diverse domains like Health, BFSI, Telecom, life sciences to support multitude of analytical tasks and decision making

COMPLIANCE & REGULATORY SERVICES

Expertise in providing data insights and intelligence on stewardship, compliance and regulatory drivers for client considerations and decision making

DATA MODELING

Provide intelligent contextual, conceptual, logical, and physical modeling architectures that adheres to data governance and offers analysts with desired data to generate valuable insights

DATA PROVISIONING

Prepare and package data so that it can be reused and shared in an orderly and secured way, based on well-defined rules and access guidelines

All Services