List of Kantata Business Intelligence Customers
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United States
Since 2010, our global team of researchers has been studying Kantata Business Intelligence customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Kantata Business Intelligence for Analytics and BI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Kantata Business Intelligence for Analytics and BI include: Deloitte, a United Kingdom based Professional Services organisation with 411951 employees and revenues of $59.30 billion, 72 and Sunny, a United States based Professional Services organisation with 670 employees and revenues of $210.0 million, Arthur D. Little, a Belgium based Professional Services organisation with 1500 employees and revenues of $200.0 million and many others.
Contact us if you need a completed and verified list of companies using Kantata Business Intelligence, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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72 and Sunny | Professional Services | 670 | $210M | United States | Kantata | Kantata Business Intelligence | Analytics and BI | 2022 | n/a |
In 2022, 72 and Sunny implemented Kantata Business Intelligence as the analytics layer to support its Kantata Professional Services Cloud deployment, deploying dashboards and real-time reporting across agency operations in the United States. Kantata Business Intelligence was used to surface live dashboards and executive reporting, providing the agency with continuous visibility into resource utilization and project financials, aligned to the Analytics and BI category and professional services reporting workflows.
The implementation focused on Kantata Business Intelligence dashboards and real-time reporting capabilities, configured to present utilization metrics, time and expense rollups, and project financial views. Data extraction and transformation were delivered from the Kantata Professional Services Cloud into the Kantata Business Intelligence reporting layer, enabling aggregated project-level revenue and cost views and operational dashboards for account teams and delivery leads.
Operational scope covered agency operations in the United States, with the solution supporting finance, project management, and resourcing functions. Governance was centered on standardized, role-based dashboards and a centralized reporting cadence to ensure consistent definitions for utilization and project financials, enabling clearer decision workflows between PMO and finance teams.
Kantata Business Intelligence provided 72 and Sunny with real-time visibility into resource utilization and project financials as the primary outcome described by Kantata, positioning the Kantata Business Intelligence deployment as the authoritative Analytics and BI source for operational and financial reporting within the agency.
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Arthur D. Little | Professional Services | 1500 | $200M | Belgium | Kantata | Kantata Business Intelligence | Analytics and BI | 2017 | n/a |
In 2017, Arthur D. Little implemented Kantata Business Intelligence to centralize operational and financial data across its global consulting business, deploying the platform within an Analytics and BI context. The implementation positioned Kantata Business Intelligence as the enterprise reporting and planning layer supporting resource and financial management across the firm.
The deployment configured Kantata Business Intelligence to support resource planning, finance planning, and operations automation workflows, consolidating project, utilization, and financial datasets into unified reporting and forecasting views. Implementation work emphasized forecasting and data-driven insight capabilities to surface demand signals and capacity constraints relevant to consulting delivery and engagement planning.
Operational coverage explicitly encompassed Arthur D. Little's global consulting operations and the finance and resource planning functions, with the platform used to centralize processes and automate routine planning tasks across regions and service lines. The rollout established single-source reporting for cross-functional stakeholders and aligned planning workflows to a common dataset consistent with Analytics and BI best practices.
Arthur D. Little later renewed and expanded its Kantata commitment, and the vendor press release explicitly cites data-driven insights and improved forecasting enabled by Kantata Business Intelligence for finance and resource planning. Governance changes included process standardization and centralized reporting controls to align decision making to the platform's data models and to support ongoing expansion.
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Deloitte | Professional Services | 411951 | $59.3B | United Kingdom | Kantata | Kantata Business Intelligence | Analytics and BI | 2022 | n/a |
In 2022, Deloitte Central Europe deployed Kantata Business Intelligence as part of a regional rollout of the Kantata Professional Services Cloud to support professional services, resource and workforce management across its Central Europe operations. The implementation targeted Analytics and BI capabilities to centralize forecasting and operational insight for resource planning and talent allocation.
Kantata Business Intelligence was configured to consume platform data from the Kantata Professional Services Cloud and deliver role based dashboards, scheduled reporting, and forecast models consistent with Analytics and BI workflows. Functional focus included resource utilization analytics, project level forecasting, and workforce demand signal consolidation to support chargeability and staffing decisions.
Operational scope covered Deloitte professional services teams and resource management processes across Central Europe, aligning business functions in delivery, talent management, and operations. Governance emphasized platform level access controls and standardized reporting definitions to support consistent insight delivery, with the stated objective of improving operational efficiencies and talent optimization.
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