DXC Technology Deploys Amazon Quick BI Platform
The firm integrates disparate data from SAP, Salesforce, and ServiceNow to standardize financial forecasting.
Updated on Oct. 14, 2026 in Business Strategy
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DXC Technology has deployed the Amazon Quick platform to unify business intelligence across its pre-sales, supply chain, and finance functions. The integration aims to streamline operations by aggregating data from siloed enterprise systems.
Why it matters
The implementation addresses data fragmentation issues stemming from historical business acquisitions. By building a unified knowledge graph, the company seeks to improve forecasting accuracy and operational consistency across its diverse internal departments.
DXC Technology integrated data from four major enterprise systems—ServiceNow, Salesforce, SAP, and SharePoint—to support its internal business intelligence. The company reports that the new platform does not use enterprise data to train large language models.
The players
DXC Technology
An IT services company that provides digital transformation and enterprise technology management for global clients.
Amazon
A global cloud computing and technology firm that provides the Amazon Quick business intelligence platform.
The details
DXC Technology implemented the Amazon Quick platform by creating department-specific personas and specialized agent sets, such as the Pitch group for sales proposals. The platform functions by drawing from multiple finance and operational feeds to bridge the gaps created by past corporate acquisitions. This mechanism allows for personalized application building and a more cohesive knowledge graph across pre-sales, solutioning, delivery, supply chain, finance, legal, and IT.
Timeline
October 14, 2026: Article publication date.
Market Landscape
The move follows a broader industry trend of enterprises deploying the Amazon Quick platform to mitigate data silos created by rapid acquisitions. This initiative mirrors efforts by IT service firms to shift from manual reporting toward automated, cross-functional knowledge graphs.
Operators managing multi-system environments should evaluate whether their current architecture allows for a unified knowledge graph. Prioritize software integrations that allow for department-specific agents while ensuring that vendor tools provide strict boundaries against using internal data for model training.
The takeaway
Effective data consolidation requires more than just connectivity; it demands personalized personas tailored to specific functional roles. Monitor your tech stack for data silos that prevent accurate forecasting and consider whether your current providers offer robust privacy guarantees regarding model training.
Further reading
Learn more about the latest developments in Business Strategy.
Source note: This article includes information reported by Crn.
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