Global – October 27, 2026 -- 76% of data analysts still rely on manual, spreadsheet-based work for data preparation, despite near-universal adoption of AI tools, according to the 2025 State of Data Analysts survey published by Alteryx.

Global – October 27, 2026 -- Alteryx is marketing its platform as the governed business-logic layer on top of Snowflake's AI Data Cloud. It cites a 90% time saving in campaign development at Telenet and a 25% subscriber increase at BODi as proof points.

Global – October 27, 2026 -- No single tool replaces an Excel macro end to end: six options (Power Query, Office Scripts, Power Automate, Python, RPA and Alteryx One) each cover a different slice of the work, according to a new comparison of automation approaches.

Power Query and Office Scripts cover data preparation and workbook tasks

Power Query suits macros that mainly import files and cleanse data, and it can reshape and aggregate data before loading it. It handles button clicks, workbook events and precise output formatting poorly.

Global – October 27, 2026 -- Poor data quality costs organizations an average of $12.9 million a year, according to Gartner estimates cited in an Alteryx analysis that frames recurring, multi-source reporting as the point where Excel stops being the right tool.

Global – October 27, 2026 -- Routing deterministic reconciliation work to an Alteryx One workflow cut token consumption by up to 95%, a 20x reduction, in a benchmark run by financial services consultancy NextWave, an Alteryx partner.

NextWave tested a 120-trade Product Control reconciliation two ways

The workload was a daily front-office-to-back-office reconciliation. It validated open trades, valuations, risk and cash balances across 120 trades, then explained differences and proposed next steps.

Global – October 27, 2026 -- A Monday inventory consolidation that took 90 minutes of manual cleanup and cross-checking now runs unattended overnight, after its logic was moved out of one analyst's head and into documented workflow steps.

The case illustrates a point Alteryx makes in guidance for spreadsheet users: slow, error-prone reporting is rarely caused by wrong logic. It is caused by logic that exists only in formulas, tab names and one person's habits. The recommended fix is to capture the steps first and choose the tool afterward.