Cleaner Inputs
Standardise columns, formats, duplicates, missing values, references, and basic validation rules before reporting.
Operational Analytics Layer
Turn Messy Business Data Into Decisions.
Unify spreadsheets, databases, APIs, and business systems into a cleaner analytics layer that people can query, validate, report on, and trust.
Data Intelligence Workbench
Managed or Private
- Connects spreadsheets, SQL databases, APIs, and operational systems
- Cleans, validates, catalogues, analyses, and visualises business data
- Lets users ask practical questions without waiting for every SQL request
Modules
Data Intelligence Workbench Modules
The workbench combines data preparation, quality monitoring, query support, dashboards, and report generation in one implementation path.
Excel Analysis Assistant
Spreadsheet Automation
Natural Language SQL
Dashboard Builder
BI Assistant
Data Cleaning
ETL Builder
Data Validation
Data Quality Monitor
Data Catalog
Report Generator
Business Case
End the Spreadsheet Guesswork.
Many teams run on files that are duplicated, manually cleaned, hard to audit, and disconnected from the systems that should inform decisions.
The workbench creates a more reliable operating layer for reporting, validation, and analysis so teams can spend less time fighting files and more time acting on the numbers.
Faster Questions
Let users ask for summaries, filters, comparisons, and SQL help without waiting for every request to become a developer task.
Better Reporting
Generate dashboards and recurring reports from validated sources instead of manually assembled files.
- Useful for teams outgrowing spreadsheets but not ready for a full data department
- Reduces dashboard disputes caused by inconsistent source files
- Creates a foundation for forecasting, monitoring, and executive reporting
Workflows
Move From Raw Tables to Usable Intelligence.
The platform handles the everyday path from data intake to decision support.
Data can be imported from spreadsheets, databases, APIs, and operational systems, then cleaned, validated, catalogued, analysed, and surfaced in dashboards or generated reports.
Preparation
Clean spreadsheets, reconcile formats, define fields, and automate recurring transformations.
Analysis
Support SQL queries, natural-language questions, comparisons, summaries, and trend analysis.
Delivery
Publish dashboards, scheduled reports, quality alerts, and export-ready outputs for teams and leadership.
- Can connect to Excel, Google Sheets, SQL databases, APIs, and business apps
- Data quality rules can be surfaced before reports are trusted
- Reports can be adapted for finance, sales, operations, HR, inventory, or leadership
Implementation
Start With the Source of Truth Problem.
Analytics fails when nobody agrees which file, table, or system is authoritative.
We identify the critical datasets, define ownership, build connectors, document transformations, and make the quality rules visible before dashboards become the focus.
Data Inventory
Map files, databases, APIs, reports, owners, update cadence, and known quality issues.
Pipeline Build
Create ETL steps, validation rules, refresh logic, and report-ready tables or views.
Dashboard Delivery
Build dashboards and reports around decisions, not vanity metrics or disconnected charts.
- Can be implemented as a lightweight workbench before a full warehouse
- Can add private query assistants for internal data access
- Documents the assumptions behind reports so they can be challenged and improved
Control
Trust Requires Quality Rules.
A smart dashboard is only useful if the business knows where the numbers came from.
The workbench includes data cataloguing, validation, source references, quality monitors, and role-aware access so reports do not become another uncontrolled spreadsheet layer.
Data Catalog
Document fields, owners, definitions, sources, refresh cadence, and accepted use cases.
Quality Alerts
Flag missing values, unusual changes, duplicates, schema drift, and failed imports before reports are trusted.
Access Control
Limit sensitive datasets and query features by role, department, or deployment environment.
- Designed for operational reporting, not just attractive dashboards
- Can support private deployment for sensitive internal data
- Makes future analytics and automation easier to maintain
Pricing
Scoped Around Data, Integrations, and Control.
Pricing depends on the deployment model, number of integrations, data preparation, workflow complexity, governance needs, and ongoing support expectations.
Discovery and Solution Design
Workflow mapping, system inventory, data review, access planning, risk controls, and the first implementation plan.
Implementation Build
Configuration, custom development, integrations, prompts or retrieval flows, dashboards, testing, and handoff documentation.
Managed Operation
Hosted operation, monitoring, backups, workflow updates, model usage review, and small improvements after launch.
Usage and Model Costs
Variable cost driven by message volume, document volume, model choice, refresh cadence, data size, and automation frequency.
Optional Change Requests
Additional modules, new departments, extra reports, more integrations, custom security rules, or migration support.
Data Intelligence Workbench is built as a configurable product base, then adapted to the client's data, workflows, software stack, and approval requirements.
Clean Up the Data Stack