Program Overview

This program is designed for organizations seeking to move from experimentation to value realization in their journey toward becoming truly data-driven enterprises.

As investments in analytics, AI, and Generative AI continue to accelerate, many organizations find themselves rich in tools and capabilities but poor in consistent, measurable business outcomes. The critical challenge today is not technology adoption, but shifting from tool-led initiatives to decision-led execution.

The program  focuses on two integrated themes:

1. Building a Data-Driven Organization: From Strategy to Execution
2. Building a Data-Driven Organization: Creating the Transformational Roadmap and Business Case

The program is differentiated by its sharp focus on value concentration. Participants learn how to identify and prioritize the critical 10% of decisions that drive nearly 90% of business outcomes, and how to align data, analytics, AI, and GenAI investments directly to these high-impact decisions.

Rather than treating data and AI as standalone capabilities, the program anchors them firmly in business strategy, operating models, and leadership decision-making.

By the end of the program, participants walk away with:

• • A clear, decision-centric transformation roadmap
  • A robust business case linking data and AI investments to tangible outcomes
  • A practical framework to move from ambition to execution and sustain value creation over time

The Strategic Context

Enterprises today are awash with data and rapidly adopting AI technologies yet decision quality and speed have not improved proportionately. Despite significant investments in analytics platforms, dashboards, and AI pilots, many organizations struggle to translate data into consistent, high-impact business decisions.

Research by leading global firms such as McKinsey & Company, Gartner, and Boston Consulting Group highlights a persistent gap:

AI adoption is accelerating, but AI-driven decision-making remains limited to isolated use cases.

The constraint is not technology. It is the absence of decision-centric leadership capabilities, organizational alignment, and governance frameworks required to embed AI into everyday business choices. As the chart below shows, business value forecast is maximum when the focus is on making appropriate decisions based on data available.

The Data–Decision Gap

Most organizations have succeeded in answering:

• What happened? (reports and dashboards)

• What might happen? (predictive models)

Far fewer can answer:

• What should we do now—and why?

Studies consistently show that:

• A large proportion of enterprise data is never analyzed or acted upon

• Executives spend excessive time interpreting numbers rather than making decisions

• AI initiatives remain stuck in pilot mode, disconnected from core operating decisions

This gap between insight generation and decision execution represents one of the biggest unrealized sources of competitive advantage.

Program Objectives

Most organizations recognize the transformative potential of AI, Generative AI, and Advanced Analytics, yet struggle to convert technology investments into tangible business value – a challenge repeatedly highlighted by Gartner. Recent CIO and AI adoption insights indicate that 70–80% of AI and advanced analytics initiatives fail to deliver measurable outcomes, primarily due to weak strategic grounding, poor prioritization, and insufficient alignment with core business objectives.

This program equips participants with a practical, value-centric framework to transform their organizations into truly data-driven enterprises. Participants learn how to identify, prioritize, and operationalize AI and analytics initiatives that are directly aligned with critical business performance drivers ensuring measurable impact on revenue growth, cost optimization, operational efficiency, and customer value.

The program emphasizes moving beyond experimentation to disciplined execution. Participants emerge with a clear, actionable roadmap that converts AI and analytics investments from isolated pilots into consistent, scalable value generators, enabling organizations to reduce risk, accelerate value realization, and maximize returns from their data and AI portfolios.

Pedagogy

The pedagogy is decidedly application-driven, combining:

• Concise conceptual frameworks to anchor thinking
• Curated real-world case studies drawn from AI, analytics, and data-led transformations
• Immersive, simulation-based exercises that mirror real organizational decision-making context
• Highly curated case studies will be used to illustrate both successful and failed AI and analytics initiatives helping participants internalize not just best practices, but also common pitfalls and value-leakage points.

Who is it for?

This program is designed for enterprises embarking on or scaling Digital Transformation initiatives, and for mid-to-senior leaders who are accountable for delivering measurable business outcomes from investments in digital, data, analytics, AI, and Generative AI.

Target Roles and Experience

• Business and Functional Leaders (typically 8+ years of experience)
  Leaders accountable for revenue growth, cost optimization, operational efficiency, or customer outcomes within enterprises undergoing digital or data-led transformation.
• Enterprise Leadership and Program Sponsors
  CXOs, EVPs, VPs, and Directors who lead, sponsor, or govern Data, AI, Analytics, or Digital Transformation programs and are responsible for translating strategy into results.
• IT, Data, Finance, and Strategy Leaders
  Senior leaders from IT, Data & Analytics, Finance, Corporate Strategy, and Transformation Offices responsible for:
  • Prioritizing digital and AI investments
  • Defining and approving business cases
  • Governing execution and ensuring value realization

Program Content

The program is structured into three tightly integrated modules, progressing from strategic intent to execution and sustained value realization. Each module builds on the previous one, ensuring participants move from knowing what to do to making it work at scale.

With over three decades of Leadership experience in Technology and business transformation consulting, Krishna Pera has worked across industry verticals. In his last assignment, he was the Head of Global Business Services for a Singapore-listed $35bn Food & Agri Supply chain company, and prior to that, he was the Chief Operating Officer of a Murugappa Group-owned KPO specializing in digital content solutions for global R&D, and information-media companies. During his career, he has set up and scaled several businesses from zero base to over 3000 people & 100 Mn+, and successfully turned around one mid-sized services company, after operationally merging acquired entities in the USA. Prior to that Krishna was heading Pharma & Life Science at Satyam.

Krishna is a published author & considered an expert in areas such as Data-driven Organization, GCCs / Shared Services, Global Supply chain Management, Technology-enabled Business-Transformation, etc., and is a frequent invitee to conferences on related subjects. Krishna was an invitee speaker at “Economic-Times – Global Business Summit 2023, New Delhi, organized by BCG.”

Krishna Pera has pioneering experience in setting up and scaling Shared Services Centers, Captives, and ODCs for Fortune 500 companies – specifically for Pharma, Agri-Food, Biotech companies, including globally the first ever ODC in an FDA compliant (validated) environment for a global top-3 pharma company. Decades of experience managing implementations and global rollouts of various enterprise technologies (incl. SAP, i2, Middleware, CRM, PLM, etc.) has provided him with a unique understanding of strategic information lifecycle management in transnational firms, as well as every conceivable issue faced by managers in making informed decisions

Krishna’s book, “Big Data for Big Decisions: Building a Data-driven Organization, published by Taylor & Francis, USA” is a top-seller in the field of enterprise analytics strategy. Krishna teaches a course titled “Building a Data-driven Organization” at leading Business Schools.

Krishna has an in-depth understanding of ‘data’, both structured and unstructured, and substantial experience in building search-retrieval & repurposing solutions. Currently, he runs a consulting entity focused on enabling companies on their journey to become data-driven organizations. His articles on data-driven organization published in Data Science Central are very popular with thousands of views and are frequently quoted by noted Data Science Experts and Global consulting companies. Krishna considers working towards a ‘scalable process-driven success’ as against ‘people-dependent success’ as the biggest challenge in most organizations.

Krishna is a strong believer in leveraging technology for business transformation. He mentors several startups developing innovative products and solutions and has been part of the jury at the HYSEA Annual Startup Awards & extensively written on the subject.

Krishna Pera has a PGDM from IIM, Bangalore (Class of 1992, and Graduate Degrees in Law, and Engineering, besides a Diploma in Supply-chain Management.

LinkedIn: https://www.linkedin.com/in/krishnapera/

Program Schedule

Schedule: Two sessions of 75 minutes each every week on Sat between 10 am to 1 pm.

The program starts on Sat, 19 Sep 2026 and would run for 8 weeks.  The program has a total of 15 sessions.

Delivery Mode: Live-Online through Zoom

Application and Enrollment Flow

To enroll and apply for the program, click on the button below –

The payment and enrollment happen through our enrollment and learning management website – https://lms.labinmotion.com . We offer easy installment plans for all our programs. This can help plan your cash flows. We offer an additional 5% discount on group registrations for 3 or more people from a single organisation. Please email support@labinmotion.com for group registrations, and we will guide you through the enrollment process.

Contact For Queries

Parthasarathy S
Ph. +91 9110614400
Email: partha@labinmotion.com

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