Data Driven Account Planning for a $1B Pune based IT Services Leader

Discover How Draup Helped Reduce Account Planning Research by 60%

24,000+

Employee Count

$1.47 Bn

Revenue

IT Services

Industry

Pune, India

Headquarters

About the Company

A global technology services and consulting leader, the company delivers digital engineering and IT transformation solutions across industries. To drive efficiency and consistency in sales planning, it sought a unified platform to strengthen account intelligence and improve collaboration between sales, marketing, and delivery teams.

A trusted platform in the market for account planning

Head of Facilities Management

The Core Challenges

To streamline and centralize account intelligence across teams.

To reduce research time and improve the quality of account planning insights.

To enable cross-functional collaboration through a single, unified platform.

The Solution

Enterprise Software

DEALS

ACCOUNTS

TECH STACK

SERVICE PROVIDERS

KEY EXECUTIVES

The image is for representational purpose only.

End-to-End Account Intelligence

Centralized visibility into accounts with real-time company profiles, signals, and opportunities across IT services clients.

Digital Tech Stack Insights

Mapped clients’ digital tech adoption and transformation areas to identify whitespace opportunities and solution gaps.

Automated Braindesk Research

Delivered automated reports on key accounts, competitors, and outsourcing intelligence, reducing manual effort and data dependency.

Outcome

60% Reduction in Research Effort

Account planning time reduced through centralized, automated insights.

Unified Intelligence Platform

Sales, Marketing, and Delivery teams collaborated seamlessly on a single source of truth.

Enhanced Decision-Making

Data-backed insights on industries, competitors, and outsourcing trends improved planning accuracy.

Reduced Database Dependency

Eliminated reliance on multiple secondary sources and manual data aggregation.

Powered by unparalleled global market data

8M+

Executives

600K+

Outsourced Workflows

900K+

Accounts Priorities

1.6M+

Peer Group Companies

Industries

250K+

Service Providers

Data Trust & Methodology at Draup

Draup uses a structured methodology to reduce inaccuracies and prevent misleading information, with a focus on transparency and responsible data practices.

1

Data Transparency and Coverage

Draup sources data from diverse, vetted global inputs including public datasets, labor information, professional ecosystems, and industry research. Coverage varies by region and role, and we supplement limited areas with alternative sources and analyst-led modeling.

2

Profiles Behind the Numbers

All aggregate insights related to buyers, roles, skills, and locations are grounded in structured, anonymized human and organizational profiles rather than pure extrapolation. This ensures context, reliability, and protection of personal identities.

3

Data Hygiene and Integrity

We maintain a clean, accurate data environment by removing duplicates, outdated entities, and invalid records. Automated checks powered by ML models and analyst reviews work together to ensure clarity and accuracy for every entity, such as buyer, role, skill, technology, or company. Learn more

4

AI Governance and Bias Mitigation

Our governance framework combines automated evaluations with Human-in-the-Loop reviews. We use statistical checks, audits, and cross-source comparisons to reduce demographic and structural bias before insights reach the platform.

5

Compensation Guardrails

Compensation insights use blended, directional inputs such as aggregated ranges, benchmarks, modeled distributions, and market signals. We distinguish clearly between modeled and reported data and apply guardrails to prevent over-interpretation.

6

Hourly and Frontline Workforce Coverage

For hourly, frontline, and blue-collar roles where digital visibility is limited, we incorporate government datasets, localized labor information, and specialized partners to build a more complete and balanced view of workforce supply and demand.