Enterprise Control Tower
- Customer
- Persistent Systems Limited
- Project manager on the customer side
- IT Provider
- Persistent Systems Limited
- Year of project completion
- 2023
- Project timeline
- April, 2022 - September, 2023
- Project scope
- 500 man-hours
- Goals
-
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.- 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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