Six Building Blocks for Effective Benchmarking
There are six essential building blocks that need to be applied to elicit meaningful and insightful recommendations.
Advisory
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Information Technology
Application Service Areas
- Application Development
- Application Management
- Application Support
- DevOps
- ERP/CRM
- Testing and QA
- SAP
- Database
- Infrastructure Management
- Mobility
- Network
- Servers
- Service Desk
- Storage
- Workplace
Specialty Service Areas
- Cloud
- Consultancy
- Cybersecurity
- Data Analytics
- Digital and Automation
- IT Management and Cross Functions
- Project Management
- Service and Systems Integration
- Strategy Management
- Standard Role
- Years of Experience
- Core Skill/Domain
- Service Delivery Country
- Staff Location (Client vs. Vendor)
Finance and Accounting
Order to Cash Service Areas
- Accounts Receivable
- Billing
- Cash Application
- Credit and Collections
- Dispute and Deduction
- Order Management
- Accounts Payable
- Travel and Expenses
Record to Report Service Areas
- Cost Accounting
- Financial Planning and Analysis
- Fixed Assets
- General Accounting
- Customer Service
- Standard Role
- Years of Experience
- Core Skill/Domain
- Service Delivery Country
- Staff Location (Client vs. Vendor)
Procurement
Service Areas
- Category Management and Support
- Requisitioning
- Strategic Sourcing
- Tactical and Spot Buying
Key Parameters
- Standard Role
- Years of Experience
- Core Skill/Domain
- Service Delivery Country
- Staff Location (Client vs. Vendor)
Human Capital Management
Service Areas
- Benefits Administration
- HR Administration
- HR Systems Integration
- HR Technology
Key Parameters
- Standard Role
- Years of Experience
- Core Skill/Domain
- Service Delivery Country
- Staff Location (Client vs. Vendor)
Industries
Industry Groups
- Business Services
- Consumer Packaged Goods
- Energy
- Financial Services
- Healthcare and Pharmaceuticals
- Insurance
- Manufacturing
- Media and Telecom
- Public Sector
- Retail
- Travel, Transportation, and Leisure
Sample Rate Card Dashboard
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Research
By harnessing AI, manufacturers can enhance CX, optimize operations and develop innovative products
The manufacturing industry is undergoing a period of significant transformation, driven by a confluence of technological advancements, economic shifts and evolving consumer expectations.
The industry is being impacted in areas such as smart manufacturing, supply chain optimization, aftermarket services and sustainability. Manufacturers are leveraging technologies such as IoT, AI, ML, digital twins, AR, VR and cloud to optimize production processes, improve quality and enhance efficiency. They are also implementing digital solutions to streamline supply chain operations, reduce costs and improve visibility. Aftermarket services are being placed at the forefront and integrated into core business processes to drive customer satisfaction and revenue.
Research
Agentic AI and autonomous Ops emerging as disruptive forces in intelligent automation services
Advancements in AI applications are redefining the landscape of business service automation in the U.S., disrupting use cases and codifying service knowledge using generative AI (GenAI) technologies. These innovations, powered by large language models (LLMs), vision-language models (VLMs), small language models (SLMs), retrieval-augmented generation (RAG) and other appropriate finetuning techniques, are revolutionizing how organizations automate customer service, IT support and business operations.
Research
Navigating change: Transforming business models for competitive advantage in the North American insurance industry
The transformation of business designs and operating models is a fundamental necessity for North American insurance carriers aiming to sustain competitiveness and effectively navigate the complexities of contemporary market conditions. This imperative arises from several critical factors, including customers’ evolving expectations, volatile geoeconomic circumstances and the increasing frequency and severity of property and life losses primarily attributed to climate change.
Research
Healthcare embraces digital transformation to boost efficiency, outcomes and care
The healthcare payer landscape is undergoing a significant transformation, driven by a shift toward value-based care (VBC), the integration of advanced analytics and AI, and a commitment to improved member engagement and interoperability. These trends reflect a broader movement toward patient-centered models that prioritize quality outcomes and enhance the healthcare experience for all stakeholders.
Research
Enterprises must navigate data complexity and AI advancements for real-time and actionable insights
The U.S. data analytics and AI market is undergoing transformative changes and a dynamic evolution driven by technological advancements, regulatory changes and enterprise demands. The market is also experiencing an accelerating need for enterprises to integrate advanced technologies, especially AI, into their business strategies.
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