Use Case
Cloud Data Management with Alteryx One
Empower IT and business teams to bridge legacy and cloud systems, automate data quality, and deliver reliable insights that maximize the ROI of every cloud investment.
Empower IT and business teams to bridge legacy and cloud systems, automate data quality, and deliver reliable insights that maximize the ROI of every cloud investment.
Financial institutions have invested heavily in the cloud, but fragmented environments often create more complexity than value. Fewer than 40% of banks are “highly satisfied” with cloud outcomes due to data integration challenges, and 71% cite legacy systems as a barrier (Capgemini, 2024). Manual transfers, duplicate records, and inconsistent data stall AI initiatives and slow decision-making. At the same time, executives expect faster insights to prove profitability and agility from cloud programs. With Alteryx One, financial firms unify data across hybrid systems, standardize it for accuracy, and automate workflows so teams can deliver trusted results without adding integration burden.
Cloud investments often fail to deliver measurable business impact.
Legacy and cloud applications operate in silos with no unified integration layer.
Teams manage triple the systems they did five years ago without added staff.
Poor-quality, inconsistent data prevents AI models from scaling.
Core banking moves risk outages without robust integration.
Alteryx One connects any system to any system without custom code, automating data prep and validation so hybrid environments finally operate as one. IT teams gain capacity through governed workflows and prebuilt connectors, while business users access accurate data through self-service tools. By closing the gap between legacy platforms and cloud applications, Alteryx One turns low-ROI cloud projects into reliable sources of efficiency, insight, and growth.
Integrated data access
Connects legacy platforms and modern cloud apps in a unified data fabric
Automated workflows
Runs no-code integration and quality checks that standardize data on the fly
Advanced analytics & AI
Provides clean, consistent data so AI initiatives scale successfully
Governance
Ensures transparency with audit-ready workflows and enterprise-grade security
Unify siloed data across cloud and on-prem systems for faster, trusted insights.
Reduce manual data handling and cloud costs with automated data pipelines.
Enable governed, self-service analytics to accelerate reporting and compliance.
reduction in analytic build time
(Deutsche Börse Group)
of processes automated within 6 months
(Bank al Etihad)
reduction in cost of risk and 10x agility
(RCI Bank)
The data we leverage is extremely varied and undergoes thousands of updates every second, which makes [Alteryx] a critical tool for our data scientists. It accelerates preparation and helps the data scientists focus on analytics that drive our marketplace.
Connect legacy systems and cloud apps seamlessly. This ensures real-time data access without disruption.
Cleanse and validate data in motion. This provides analysts and AI teams with consistent, reliable inputs.
Empower business users to build integrations with drag-and-drop tools. This extends IT capacity without headcount.
Deliver elastic scale across hybrid environments. This supports growth while maintaining compliance.
Provide audit trails, policy enforcement, and enterprise-grade security. This ensures compliance while enabling agility.
