Alteryx One

Alteryx, NextWave Cut LLM Token Use 95% in Reconciliation Test

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Alteryx, NextWave Cut LLM Token Use 95% in Reconciliation Test

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.

In the first run, an LLM received the front-office and back-office files directly and compared them unaided. In the second, the LLM called the Front Office Back Office Data Reconciliation workflow on Alteryx One through the Model Context Protocol (MCP). Alteryx executed the comparison logic, and the LLM interpreted the output and recommended next steps.

Spreadsheet Errors Cost Firms $12.9M a Year, Gartner Estimates

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Spreadsheet Errors Cost Firms $12.9M a Year, Gartner Estimates

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.

Repeatability, not row capacity, is where Excel breaks

Excel holds more than a million rows per sheet and rarely reaches that limit. The failure comes when source data changes shape, such as a renamed column, a new region added mid-quarter or an extra week in a date range. The manual process then gets rebuilt from memory instead of re-run.

Industry studies cited in the analysis found that 90% of spreadsheets with more than 150 rows contain at least one major mistake. The analysis attributes this to the format, which has no built-in error control, rather than to analyst skill.

Alteryx Pitches Business Logic Layer for AI on Snowflake Data

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Alteryx Pitches Business Logic Layer for AI on Snowflake Data

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.

Alteryx pushes transformation logic into Snowflake while business users own the rules

Alteryx pushes transformation logic down into Snowflake for performance. It gives business users a no-code way to build and govern the rules that turn raw data into decisions. The company's argument is that Snowflake stores and scales data, but a warehouse does not know definitions such as a "qualified pipeline" or an "at-risk account." Without those rules made explicit, an LLM or AI agent querying the data is left to guess, producing inconsistent answers and hallucinations.

Five use cases span finance, procurement, customer success and inventory

Alteryx names five patterns:

76% of Analysts Still Prep Data by Hand, Alteryx Survey Finds

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76% of Analysts Still Prep Data by Hand, Alteryx Survey Finds

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.

Buyers and daily users apply different criteria to integration platforms

IT teams judge integration platforms on throughput, scalability and fit with existing architecture. Analysts ask whether they can connect the systems they already use, blend the data and trust the result without waiting in a ticket queue. Gartner describes analytics as moving from "the domain of the few, to ubiquity."

McKinsey finds 88% use AI, but nearly two-thirds have not scaled it

McKinsey's 2025 State of AI survey reports that 88% of organizations use AI regularly in at least one business function. Nearly two-thirds have not scaled it enterprise-wide. The gap sits in data foundations and workflow design, not model capability.

Six Tools Compete to Replace Excel Macros, None Covers All

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Six Tools Compete to Replace Excel Macros, None Covers All

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.

Office Scripts is the closest native Microsoft 365 option. It runs recorded or edited TypeScript in Excel for the web or the desktop app on Windows or Mac. It has no Excel-level events, and Microsoft documents that VBA offers broader desktop coverage.

Spreadsheet Reporting Breaks on Key-Person Risk, Not Bad Logic

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Spreadsheet Reporting Breaks on Key-Person Risk, Not Bad Logic

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.

Key-person dependency, not formula errors, is the main failure point

Typical breakages include a renamed column that disrupts a position-based formula, a data set that outgrows a row limit, and two people editing one file so that one set of changes is lost. When the analyst who built the process changes teams or leaves, the successor must reverse-engineer each tab, often at report deadline.