NTT Data

NTT Data, the IT services subsidiary of Nippon Telegraph and Telephone Corporation, had grown into a $20+ billion global business through over 50 acquisitions between 2005 and 2022 — including Dimension Data, Dell Services, Everis, and numerous regional firms. Each acquisition brought its own delivery centers, operating processes, tooling, and management structures. By 2022, NTT Data operated hundreds of delivery locations across 50+ countries, many with overlapping capabilities and redundant capacity. The cost-to-serve was inflated by this fragmented delivery footprint: multiple centers in the same geography performing similar work for different legacy client bases, inconsistent delivery methodologies requiring redundant training and quality assurance, and limited resource sharing across formerly independent business units. This complexity was estimated to add 15-20% to delivery costs compared to a rationalized operating model.

In 2022-2023, following the consolidation of NTT Ltd's IT services business into NTT Data under a unified brand, the company launched a comprehensive delivery optimization program:

• Delivery center rationalization: Identified and began consolidating overlapping delivery centers in key markets (India, Eastern Europe, Latin America). In India alone, NTT Data operated delivery centers from the legacy NTT Data, Dimension Data, Dell Services, and Everis organizations — each maintaining separate facilities, management, and HR processes within the same cities.
• Unified delivery methodology: Implemented a single global delivery framework replacing the disparate methodologies inherited from acquired companies. This standardized how projects were staffed, managed, and quality-assured, reducing training costs and enabling seamless resource sharing across client engagements.
• Resource pooling: Created shared resource pools by capability area (cloud engineering, application development, infrastructure management) rather than by legacy business unit, improving utilization rates from an estimated 65-70% to targeted 75-80%. Higher utilization directly reduced the effective cost per billable hour.
• Automation-first delivery: Deployed AI-powered automation tools (AIOps, test automation, code generation) across the consolidated delivery organization, reducing the labor content per unit of delivered work. Automation investments were justified at the consolidated scale that individual legacy units could not achieve.
• Near-shore expansion: Expanded near-shore delivery capacity in Romania, Poland, Mexico, and Colombia as cost-effective alternatives to onshore delivery, offering clients 30-40% cost savings while maintaining timezone alignment.

• Delivery cost reduction: The consolidation and standardization program targeted and began delivering a 15-20% reduction in cost-to-serve through facility consolidation, improved utilization, and automation.
• Utilization improvement: Resource utilization rates improved as shared pools replaced siloed legacy teams, with each percentage point of utilization improvement directly reducing effective cost per billable hour.
• Scale achievement: The unified NTT Data entity achieved approximately $30 billion in combined revenue by FY2023, providing the scale to justify investments in automation and delivery infrastructure that individual legacy units could not.
• Operational consistency: Standardized delivery methodology reduced quality variance across client engagements, lowering rework costs and improving client satisfaction metrics.
• Near-shore leverage: Near-shore centers grew to handle an increasing proportion of client work, providing cost savings for clients while maintaining delivery quality and timezone alignment.
• Timeframe: Consolidation program launched with NTT Data brand unification in 2022, with delivery optimization executing through 2023 and beyond.

• NTT Group's decision to consolidate all IT services under the NTT Data brand provided the organizational mandate for delivery center rationalization that had been politically impossible with separate business units
• India's deep IT talent pool enabled consolidation of multiple delivery centers onto fewer, larger facilities with access to the same labor market
• Automation tools from the NTT Research and Innovation labs provided proprietary delivery acceleration capabilities
• Large client base spanning the legacy businesses provided sufficient work volume to maintain high utilization in consolidated delivery centers