Matchbook AI

Data Lens

Upload. Analyse. Trust Your Data — From Raw CSV to Quality Intelligence in Minutes.

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Data Lens Dashboard

SEE IT IN ACTION

Clean Data, Meaningful Insights — In One Platform

Watch how Data Lens ingests raw CSV data, runs automated quality analysis, identifies duplicates and missing fields, and delivers clean, actionable results — all from a single dashboard.

Your Data Has Blind Spots. Data Lens Fixes That.

  • Data quality issues — duplicates, missing fields, invalid emails — are buried in spreadsheets with no easy way to surface them
  • Manual audits are slow, inconsistent, and prone to human error
  • No standardised view of data quality across datasets or business units
  • Separate tools for deduplication, cleansing, and auditing waste time and create version conflicts
  • Insights arrive too late — last month's results can't drive decisions made today
  • Data rooms and board reporting become recurring fire drills with no single source of truth
Data Blind Spots
WHERE VALUE HITS

Built for data teams, ops, and enterprise clients

Trusted by organisations that demand clean, reliable, decision-grade data intelligence.

Data Operations Teams

Upload datasets, run automated quality pipelines, and download clean outputs in minutes — no code required.

Client Services & Account Managers

Run on-demand data audits for clients. Generate quality reports that build trust and accelerate decisions.

Enterprise IT & Data Governance

Enforce consistent data standards with pipeline audit trails, role-based access, and full lineage tracking.

Analysts & Data Scientists

Skip manual prep work. Get standardised, deduplicated datasets ready for analysis, modelling, and reporting.

FEATURES & BENEFITS

Why Teams Choose Matchbook AI Data Lens

Upload & Process Any CSV Dataset in Minutes

Connect your raw CSV data instantly. Supports Company Data and Contact Data types — up to 300,000 rows per job. Sample templates guide first-time uploads.

Automated Duplicate Detection & Removal

Matchbook AI's matching logic identifies and merges duplicate records across your entire dataset. Surface exact counts and percentages in every job report.

Data Quality Audit with Issue Breakdown

Structured audit reports covering invalid emails, missing industry fields, formatting inconsistencies, and duplicates — all categorised and downloadable.

Field Standardisation & Normalisation

Automatically standardise dates, phone numbers, addresses, and more. Zero-code configuration eliminates manual field mapping entirely.

Real-Time Job Monitoring Dashboard

Live KPI cards, monthly records chart, job status distribution, and pipeline progress — filtered by month and refreshed in real time.

Role-Based Access & Full Audit Trails

Invite team members as Client Admin or Partner User. Full job lineage tracking ensures complete transparency for compliance and governance needs.

Platform Overview

Multi-Format CSV Ingestion

Upload Company or Contact Data CSVs up to 300K rows. Client code tagging associates every job with the right account.

Automated Analysis Pipelines

Choose Audit, Cleansing & Normalisation, or Match Duplicates — run one or combine all three in a single 4-step workflow.

Live Dashboard & KPI Monitoring

Monitor total jobs, records processed, duplicates removed, fields standardised, and error rate — filtered by month in real time.

Job History & One-Click Downloads

Searchable job history with inline hover tooltips. Download Audit Report, Cleansed Data, and Deduplicated Data per job.

User Management & Role Control

Invite and manage team members with Client Admin or Client User roles. Enable or disable access without losing any job history.

Audit Trails & Governance

Every job is fully traceable — data lineage, error diagnostics, and job metadata preserved for compliance needs.

Unlock data quality intelligence with automated analysis. Surface duplicates, fix formatting issues, and deliver clean, trusted data — faster than any manual process.

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