List of Appian Data Fabric Customers
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Since 2010, our global team of researchers has been studying Appian Data Fabric 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 Appian Data Fabric for Master Data Management 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 Appian Data Fabric for Master Data Management include: NatWest Group, a United Kingdom based Insurance organisation with 59400 employees and revenues of $19.98 billion, Oscar Health Insurance, a United States based Insurance organisation with 2400 employees and revenues of $2.20 billion, Amadori, a Italy based Consumer Packaged Goods organisation with 8978 employees and revenues of $1.74 billion, Netwealth Investments, a Australia based Banking and Financial Services organisation with 664 employees and revenues of $161.0 million, RMBL, a Australia based Banking and Financial Services organisation with 41 employees and revenues of $7.0 million and many others.
Contact us if you need a completed and verified list of companies using Appian Data Fabric, 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.
The Appian Data Fabric customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Amadori | Consumer Packaged Goods | 8978 | $1.7B | Italy | Appian | Appian Data Fabric | Master Data Management | 2024 | n/a |
In 2024, Amadori implemented Appian Data Fabric as part of an expanded Appian Platform deployment, the Apps Category "". The implementation targeted unification of process automation and a data fabric layer to provide a single, queryable surface for business process and application data across heterogeneous ERP, CRM, custom applications and spreadsheets.
The deployment combined Appian's business process management, robotic process automation and low code development to build modular applications across procurement, finance, sales and customer management, product and innovation, legal, IT and fleet management, marketing and packaging. Appian Data Fabric was used alongside process automation to support a complete procurement cycle managing about 100,000 invoices annually with roughly 25 percent fully automated, a customer information application that reduced credit request lead time from one week to 2.5 days, and asset management for more than 2,500 IT devices and vehicles.
Integrations were implemented with existing backend systems to create connected enterprise applications and a unified customer view, the deployment explicitly linking data and documents across ERP and CRM endpoints. Operational coverage spans Amadori's manufacturing and distribution footprint including 17 product plants, 800 farms and 19 distribution centres, serving more than 20,000 customers and supporting product innovation workflows that managed about 150 projects and 3,000 tasks with 50 employees in the first four months.
Governance emphasized process monitoring, continuous improvement and replacing paper based workflows with digital contracts and electronic signatures to improve visibility and control over financial and legal processes. The platform also supported orchestration of packaging review and approval workflows handling 1,600 graphic requests and 8,000 completed tasks in one year, and reduced the IT management lead time between maintenance and order generation from two weeks to about three days.
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NatWest Group | Insurance | 59400 | $20.0B | United Kingdom | Appian | Appian Data Fabric | Master Data Management | 2024 | n/a |
In 2024, NatWest Group implemented Appian Data Fabric to accelerate and automate internal governance and approval workflows, using Appian Data Fabric as the central capability for unified data access and process orchestration. The effort targeted long lead times in policy change and risk assessment, where time from idea to value could previously require three to four months, and policy changes could take three to four weeks to complete.
The implementation used the Data Fabric capability to automate data capture and triage logic across governance workflows, automating 46% of the data elements in those processes and halving over 800 triage questions. Configuration focused on rule-based triage, standardized assessment templates, and orchestration of sequential governance checks to compress multi-step reviews into automated flows, with product governance time dropping from 4.5 days to less than 20 minutes.
Operational coverage centered on change and risk governance processes, product governance, and related compliance and change-management teams within NatWest Group, consolidating decision inputs into a single Appian Data Fabric layer to reduce manual handoffs. The deployment emphasized process orchestration and data unification rather than point integrations, streamlining multiple assessments under a consistent governance workflow.
Governance and process restructuring accompanied the technical deployment, simplifying assessment requirements and reducing cycle complexity as part of a broader goal to move from a 73 day governance cycle toward a 73 minute target. The implementation demonstrates Appian Data Fabric applied to governance, policy change, and risk assessment functions, materially shortening approval windows and reducing manual triage burdens as documented by NatWest.
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Netwealth Investments | Banking and Financial Services | 664 | $161M | Australia | Appian | Appian Data Fabric | Master Data Management | 2024 | n/a |
In 2024, Netwealth Investments modernised its Netflow client and advisor case management system using Appian Data Fabric on the Appian AI Process Platform. The deployment uses Appian Data Fabric and aligns to the Apps Category .
The implementation centralised case creation and triage workflows, embedding Appian Data Fabric to surface unified case context and to power automation and Private AI-assisted decisioning. Functional capabilities explicitly implemented include email classification using Appian’s AI Skill, automated routing of failure messages to the appropriate resolution team, and expanded self-service pathways for staff and clients.
Operational coverage focused on client and advisor case management, with IT developers training and operationalising the email classification capability across internal support teams. The email classification AI Skill was trained in-platform by Netwealth developers to achieve a reported 98% accuracy rate in a short training window, enabling automated identification of the team best suited to resolve case creation failures.
Governance and process changes concentrated on workflow orchestration and operational handoffs, shifting manual email review tasks into automated triage and routing rules. The implementation emphasized in-house model training and platform automation, updating case management workflows and team-level resolution processes to reflect automated classification and reduced manual triage.
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Insurance | 2400 | $2.2B | United States | Appian | Appian Data Fabric | Master Data Management | 2024 | n/a |
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Banking and Financial Services | 41 | $7M | Australia | Appian | Appian Data Fabric | Master Data Management | 2024 | n/a |
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Buyer Intent: Companies Evaluating Appian Data Fabric
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