Services
Data and Analytics
Smart Data for AI: Building Agile, AI-ready Ecosystems
HIGHLIGHTS
- Digital rides on data, and so does growth and innovation. To tap the limitless opportunities data and analytics present, organizations need a robust analytics foundation.
- We work with you to optimize your data and analytics strategy to extract maximum value from data with clear roadmaps and target state.
- TCS Datom uses a digitalized approach to deconstruct business problems, evaluate existing portfolios, and prescribe a plan to achieve quantifiable business outcomes.
Overview
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, analytics, and artificial intelligence (AI) maturity.
TCS Datom offers a contextual array of digitalized methods that help to deconstruct business challenges and identify the right-fit interventions across data, analytics, and AI. 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.
Solution
Drive accelerated business outcomes with TCS Datom.
TCS Datom helps to define holistic data and AI strategies 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 capabilities against pre-defined maturity benchmarks and offers comparisons with peers and competitors. TCS Datom framework allows for these benchmarks to be created holistically for data and analytics, AI Foundation and data privacy capabilities. Each of these capabilities are reviewed across key result areas specific to them to generate baseline scores, accompanied by improvement opportunities and recommendations.
- Data and analytics maturity assessment: provides organizations with a clear picture of the maturity level of their data and analytics programs across key results areas of people, process, technology, and data.
- AI Foundational maturity assessment: enables organizations to obtain sustained results from AI and Adopt AI at scale and manage AI related risks by reviewing their capabilities across the key result areas of data, people, process, technology and AI Governance.
- Data privacy assessment: helps to determine if the right set of practices for processing of digital personal data have been institutionalized.
- 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.
Figure 1 : TCS DatomTM provides a comprehensive blend of offerings
Benefits
Turning data into strategic advantage
Holistic strategies that help to elevate the impact of data, analytics, and AI 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 program 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.
The TCS Advantage
Customer-centricity for optimal business success
Collaborate with us and leverage:
- Digitalized approach for data and analytics strategies: A digitalized and industry-specific expanding library of proven analytical interventions. The maturity gradient of an organization is calculated through an algorithmic approach while benchmarking it across industries.
- Customer-centricity: A bouquet of services for customers to choose from. It ranges from a full-scale data and analytics strategy to specific interventions such as data governance, data estate modernization, and AI strategy.
- End-to-end partnership: Organizations looking for data-driven excellence can choose an array of offerings and accelerators across the data and analytics value chain. Turn a strategy into fast-tracked execution to achieve the desired business outcomes quickly.
- An industry first, fully digitized data and analytics benchmarking app: Encompassing key dimensions of a data and analytics program—across people, processes, technology, and data.