Region: EMEA
Industry: Professional Services
Department: Finance
[With Alteryx] our tax teams are able to not only finish the returns on time, but also do analytics on those returns and feel really confident with the information they’re providing to the government.
Troy Maikowski
Tax Technology & Transformation Data Scientist, Senior Manager at Ernst & Young LLP
Going beyond the standard extract, transform, and load (ETL) processes, EY’s Innovation Council developed and deployed complex Artificial Intelligence models through Alteryx Python building blocks to enable efficient deployment of the intelligent classification algorithms across a number of use cases.
Region: EMEA
Industry: Professional Services
Department: Finance
largest professional services companies use Alteryx
Crowe LLP
How Crowe Scaled Analytics Innovation with Alteryx
Crowe LLP transformed its tax operations with Alteryx, automating thousands of hours of manual work and building a scalable foundation for AI-driven analytics and decision-making.
Read MoreKearney
How Kearney Saved Retail Client $50M in Cost-to-Serve with Alteryx
Discover how Kearney identified 13,000 unproductive SKUs to save its retail client $50M in cost-to-serve.
Read MorePlante Moran
Plante Moran Uses Alteryx to Accelerate Data Insights
One of the nation's largest accounting firms uses Alteryx to automate manual processes, accelerate insights and reduce costs by $750K.
Read MoreThis Starter Kit helps tax teams compute apportionment factors by analyzing sales, payroll, property, and nexus data across entities.
This Starter Kit helps tax teams extract data from tax PDFs by reconstructing tables, normalizing fields, and flagging low-confidence outputs.
This starter kit helps AP teams handle invoices from emails, PDFs, and scans by parsing fields and producing structured records.
This Starter Kit helps tax teams produce transfer pricing documentation by linking intercompany transactions, comparables, and evidence.
This Starter Kit helps finance teams produce disclosure-ready financial data by mapping trial balances, applying materiality thresholds, and flagging exceptions with traceable controls.