Creating and applying insights and capabilities to deliver business outcomes

AI at scale for transformation

AI at scale for transformation

  • AI Activate
  • AI Re-imagine
  • Insight-driven Innovation
  • Data Science Framework

Govern and run the AI driven enterprise

Govern and run the AI driven enterprise

  • Information Governance
  • Applied Insights Center
  • GDPR end-to-end Services

Build and deploy AI platforms & solutions

Build and deploy AI platforms & solutions

  • AI Transform
  • New Data Landscape
  • Insights Platform as-a-service
  • Sector & Domain Insights

Overview
Companies need a holistic approach that encompasses people,
processes, technology, and data to ensure the success of their
data and analytics initiatives. The plethora of technologies and
processes make it vital to understand various patterns and
identify best-fit scenarios for technologies, organization
structures, service methodologies, governance mechanisms,
competency centers, and maturity roadmaps. DATOM provides far-reaching benefits through:
1.Simplification of operating models, with service patterns
driven by specific business goals
2.Composite delivery, which optimizes the route of service,
based on five delivery models—factory, work package, agile,
self-service, and service as an intelligent software—as well as
the digital intelligence landscape
3.Detailed governance models complemented by a digitized
governance framework
4.Future-ready frameworks to meet business goals and ensure
technology readiness and competency development
5.Health checks to identify and fix potential in-flight data
and analytics program errors

Our Solution
is founded on the four pillars of:
1. Service models that prescribe service delivery patterns based
on the nature of the program or project
2. Governance based on interwoven frameworks across the four
key result areas of people, process, technology, and data. It
provides scenarios for different sizes and topologies of data
and analytics programs, delivery processes, technology
architectures, and data assets.
3. Roadmaps that define key criteria and mechanisms for an
unambiguous path to organizational goals. With our Program
Roadmap Framework, we also provide metrics to measure key
outcomes.
4. Competency that enables the adoption of a structured
approach to engage and motivate talent effectively.
Career progression roadmaps, competency maps, and
proficiency definitions help build knowledge repositories
and competencies on-demand, backed by various Centers
of Excellence.

Benefits
Our understanding of the linkage of different aspects of data and analytics helps us provide organizations with a framework to manage their programs. They can:
1.Quickly assess maturity levels of their data and analytics
initiatives
2.Identify technology and competency gaps
3.Streamline governance and technology structures
4.Get a futuristic digital roadmap to meet business goals
5.Leverage different delivery models synergistically