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Enterprise Control Tower

Persistent Systems Limited
Project manager on the customer side
Soumitro Chatterjee
Senior Manager - CIO Office
IT Provider
Persistent Systems Limited
Year of project completion
Project timeline
April, 2022 - September, 2023
Project scope
500 man-hours

Drive revenue growth and profitability of the organization by enforcing a data driven culture across global & diverse teams by:

1. Establishing centralized enterprise intelligence and decision-making platform

2. Bring transparency and uniformity through single source of truth

3. Enabling actionable intelligence for Sales, Service Delivery, Talent, Legal, HR, Finance, Quality, IT, and other corporate functions

Project Results

  • Enterprise Control Tower – a suite of enterprise intelligence dashboards, actionable notifications, and apps are now helping drive the leadership reviews, investment planning, and enforcing data driven decision making across global leadership. Every data & intelligence asset is mapped with either revenue side of equation or profitability side of it.
  • Organization is now able to identify & fix challenges related to selling, offerings, talent & skills, order backlog, possible revenue leakage, execution challenges/anomalies, leadership constraints, customer related risks, contractual leavers to increase the margins, revenue velocity, etc.
  • Transparency and clarity in decision making is helping align various global teams & 600 leaders quickly.
  • Continuous forecasting models are helping set/adjust new targets for individual units as well as manage people & HR aspect timely.

The uniqueness of the project

The key objective of this project was to drive a broader change management across units, global teams, and leadership for how quick and transparent decisions are made to address 2 key KPIs driven by the Board and Markets – Revenue & Profitability.

This was achieved by:
  • Driving a behaviour of global 600 leaders and aligning them together
  • Building trust through shared language & critical business information
  • Fast pacing the decision-making through actionable intelligence & real-time analysis
  • Automated predictions & forecasting engines for scenario planning and investment decisions

Used software
  • Integration of 30+ enterprise systems including ERP, HCM, CRM, Billing, Finance, Planning & Budgeting, Skills & Talent, CLM, Invoicing, Office 365, etc. (e.g. – Oracle Fusion, Salesforce, Icertis, Financials, .Net, and SaaS applications, etc)
  • API-led connectivity established through Middleware platform (Tibco)
  • Legacy Data paltform (MS SQL, Hadoop, Spark, Talend, Kafka, SSRS), Azure-based Enterprise Data Lake – Azure Data Factory, Azure Data Lake Storage, Synapse, ML, PowerApps, Purview, etc
  • Power BI & Custom Applications
Difficulty of implementation

Major difficulties/challenges were:

  • Aligning all the leadership and their business teams
  • Finding anchor sponsors
  • Establishing a business information architecture (this requires revisits to business processes, workflows, apps, managing function/leader specific idiosyncrasies)
  • Data quality and integrity ownership (data completeness, timeliness, and correctness)
  • Integrating 30+ systems and creating canonical models for various types of business data
  • Technology sprawl (too many techs, tools, skills)

Project Description

Project spanned across 18 months, 30 people including Architects, BA, Data Analysts, Engineers, and Function Specialists

Global rollout was planned in multiple phases, such as –

  • Phase-1 : Integration of all 30+ business systems
  • Phase-2 : Harmonization of data through clean-ups, sanitization, de-duplication, MDM, Data quality, Cataloguing, Data integrity framework, and Establishing global business glossary
  • Phase-3 : Establish a single source of truth & validations by business teams
  • Phase-4 : Distribution of truth (democratization & evangelism) – MIS, dashboards, Notifications/alerts
  • Phase-5 : Value Realization phase – self-service BI, actionable intelligence, business execution anomalies, AI & ML, decision support tools, etc
  • Phase-6 : Predict the Truth – automated forecasting and predictions of revenue, cost, profitability, risks
  • Phase-7 : Behaviour Change – process analytics, knowledge mining, controls & compliances enforcement, etc.

Usable outcomes delivered (few examples) –

1. CEO Dashboard (end to end business view of Org / each units)

2. Business Pulse (real time business health check/pulse)

3. Business Patch 360 (e.g. – BFSI industry end to end outside-in view of business)

4. Revenue Velocity Analytics

5. Cost & Profitability Dashboard

6. Contract Intelligence

7. Financial Analytics (receivable, collections, DSO, cost)

8. Talent Supply Chain Analytics

9. Sales & Marketing Analytics

10. Operations Analytics

11. Project Delivery Analytics

12. Risk Analytics

13. Execution Anomalies

14. What-if models

15. ML-based prediction tools

16. Conversational AI using Gen AI

17. Quality & Governance Analytics

18. Employee 360 Analytics tool

19. Account Insights

20. CIO Dashboard (including CIO KPIs, CISO, Projects, Service quality, etc)

Project geography

Aim has been to align & drive all global leaderships teams (600+ leaders) spread across 21 countries, working in the areas of software, hi-tech, emerging industries, BFSI, healthcare, life sciences, cloud, security, digital transformation, etc.

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