Bank al Etihad customer story
Alteryx One makes analytics part of how the business runs. Teams connect data, analyze it, and act with confidence—so decisions move faster, results are repeatable, and governance scales with the organization.
Cut analysis cycles from days to hours by reducing manual steps across analytics work, enabling decisions move faster across teams and functions.
Standardize analytics to reduce errors, align definitions, and maintain confidence in results as analytics scale across teams and use cases.
AI-guided workflows help analysts answer questions and validate results on their own, moving insights to the business faster without delays or handoffs.
Automate repeatable analytics to reduce manual effort and scale impact across the organization. As processes expand, returns compound without adding operational complexity.
By automating data preparation and reporting workflows, Bank al Etihad reduced data processing time by approximately 80% and automated nearly 75% of workflows in 6 months.
Alteryx One moves analytics from data to decisions through coordinated, reusable workflows. Teams prepare data, analyze results, and take action in a unified process that reduces friction, limits handoffs, and keeps work aligned as analytics scale.
Bring your data from cloud platforms, business applications, and files into a single workflow to prepare, enrich, and structure it for analytics and AI. Apply business rules and quality checks as you work, keeping data accurate, traceable, and ready for use.
Work through preparation, analysis, automation, and output in one continuous workflow. Capture logic once, reuse it across use cases, and keep results aligned as work moves from exploration to production.
Align business and IT around the same foundation for analytics. Business teams move analysis forward and answer questions while IT maintains standards and oversight, keeping work aligned as analytics expand across the organization.
Annie is your AI agent for all things data and analytics. Ask questions, work through challenges, and see how teams get results with Alteryx in a live conversation.
Bring data, analytics, automation, and AI together in one platform that complements your existing data stack and unifies how work gets done.
Align your teams around a single analytics platform that keeps logic, definitions, and data consistent as work moves across teams, systems, and influences decisions.
With a unified foundation, you can:
Alteryx stood out because it allowed our business analysts, like myself, to deliver results rapidly without deep technical know how in coding. I don’t know how to code, but I taught myself Alteryx in a few days. We don’t require a team of data engineers and solution architects to be staffed.
Keep teams focused on outcomes instead of infrastructure by bringing analytics work into a single platform. Centralization reduces complexity and removes the friction created by too many disconnected tools.
With a centralized analytics platform, you can:
Alteryx wasn’t just a tool — it became the backbone of how we modernised finance. It turned data into a shared language across teams.
Explore the core capabilities that power end-to-end analytics, automation, and AI across the Alteryx One. Each area connects to deeper functionality that teams can activate and scale as their needs grow.
Whether you're building workflows, exploring data, or generating models, AI is integrated across key analytics workflows to help you move faster without losing control or visibility.
•Spot patterns, outliers, and trends as you build
•Generate insights and summaries in natural language
•Scale advanced techniques like predictive modeling and AutoML across teams
Prepare data for AI and analytics in the same place work happens. Business logic, quality checks, and governance stay embedded as data moves through each step—so teams can trust the inputs driving decisions and models alike.
• Connect to cloud platforms, on-prem systems, and files from one workflow
• Apply business rules and standards without creating separate AI pipelines
• Maintain workflow-level lineage and data quality throughout analytics processes
Automate repeatable analytics and processes to save time, reduce effort, and keep results consistent across the business. Work runs reliably on demand or on schedule, without manual intervention or disconnected tools.
• Streamline recurring tasks like data prep, reporting, and model execution
• Reduce operational costs by capturing logic once and reusing it everywhere
• Ensure governed, traceable outputs no matter who runs the workflow
Build, run, and manage analytics in a shared workspace designed for collaboration. Everyone works in the same environment, keeping workflows consistent and helping projects move forward without friction or duplication.
• Support every skill level with visual tools and guided workflows
• Centralize assets to simplify version control and reuse
• Make collaboration seamless across business, data, and IT teams
Alteryx One is built to meet enterprise requirements for security, governance, and transparency. Organizations rely on the platform to run analytics at scale while maintaining control, compliance, and auditability.
Run analytics securely, at scale, and on your terms, whether in the cloud, on-prem, or across hybrid environments. The Alteryx One platform integrates with your systems while maintaining enterprise-grade performance, control, and flexibility.
The Alteryx One platform is structured to separate responsibilities between teams, giving builders flexibility and IT the control they need to operate securely and efficiently.
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Collaboration 
Connect analytics into your existing systems using flexible APIs and extension points built for enterprise architecture. Workflows plug into upstream data and downstream applications without custom workarounds or vendor lock-in.
Alteryx One is built around reusable, governed workflows rather than isolated reports or tools. Analytics, automation, and AI all run inside the same workflow, using a single execution and governance model.
Teams move from raw data to automated outcomes without switching tools or rebuilding logic. Governance, lineage, and access controls stay attached as workflows are reused and scaled, allowing business users to work independently while IT maintains control.
This makes Alteryx One well suited for enterprise-scale analytics, where consistency, reuse, and trust matter as much as insight.
Yes, Alteryx One is designed to integrate directly with existing data stacks, including cloud data platforms, on-prem systems, enterprise applications, and downstream operational tools.
Analytics run where the data already lives, using workflows that connect upstream sources and downstream systems without requiring data duplication or re-architecting. Where applicable, Alteryx One works within existing security and governance controls, so access, permissions, and policies remain consistent.
This approach allows organizations to standardize analytics and automation across the business while preserving their current data architecture and governance model.
Alteryx One was built for enterprise teams that need analytics to work across roles using the same operating model. Business users, analytics teams, data scientists, and IT all work within the same governed, workflow-driven environment—not separate tools or role-specific systems.
Because every role works from the same workflows and execution model, organizations can scale analytics without fragmenting tools, logic, or governance.
Teams can begin generating insights within days for common analytics use cases. Alteryx One is designed so teams start by building the same reusable workflows they’ll continue to use in production, not throwaway pilots that require rework.
Analysts connect to existing data, prepare it, and run analytics in a single governed workflow from day one. Automation and AI guidance reduce setup time, while security and governance are already in place.
This allows organizations to move quickly from initial use cases to repeatable, production-ready analytics — without a long implementation cycle.
