Deconstruct and transform business challenges into value story maps.
Driving business growth while being resilient requires digital reimagination of business models and improvement in data and analytics maturity.
TCS Datom offers a contextual array of digitalized methods that help deconstruct business challenges and identify the right-fit analytics Interventions for them. It then evaluates an organization’s data and analytics capabilities based on five levels—siloed, simplified, scaled, synergized, and self-optimized to chalk out a best-fit journey across the maturity levels and towards tangible business impact.
Drive accelerated business outcomes with TCS Datom.
TCS Datom helps define a holistic data and analytics strategy and provides a clear line of sight between the goals and the potential business impact. The solution includes:
TCS Datom Atlas: Breaks down business challenges into industry problem maps, KPI maps, and value story maps to find the right analytical intervention.
TCS Datom benchmarks: Evaluates an organization’s data and analytics capabilities against pre-defined maturity benchmarks and offers comparisons with peers and competitors.
TCS Datom strategy service: Accelerates business outcomes by helping organizations create comprehensive data and analytics strategies.
TCS Datom: an advisory framework to develop the right data, analytics, and AI strategy aligned to your business goals.
Turning data into strategic advantage
Holistic strategies that help elevate the impact of data and analytics on business outcomes.
Vision alignment across business capabilities and technology adoption drives stakeholder buy-in and smooth execution focused on early benefit materialization.
Competency alignment with data and analytics roadmap to help organizations reap maximum benefit from their data resources.
Visibility into program health to establish a quantified maturity benchmark that allows tracking of data and analytics portfolio progress in a measurable format.
Accelerated outcomes by leveraging offerings across business case modeling, AI capabilities, ecosystem modernization and cloudification, and KPI rationalization, among others.