Demos

See DataLAB working on real analyst workflows.

Watch focused product walkthroughs covering the main DataLAB workspace, Import Manager, Dataset Manager, reconciliation, journal testing, payroll testing, and repeatable analytics workflows.

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What the demos prove

Import and manage

Load real business files, assign them to the workspace, and make them reusable.

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Test and reconcile

Turn finance populations into controlled matches, exceptions, and review queues.

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Video Library

Product walkthroughs you can play directly here.

Each demo is embedded from YouTube so prospects can watch without leaving the Snaplytics website. The notes under each video are based on the internal recording scripts, so visitors know what business problem the demo is solving before they press play.

Demo 1

DataLAB Overview

Analytics for everyone, from raw files to managed workflows

A walkthrough of the DataLAB desktop workspace: importing demo data, browsing managed datasets, querying with SQL, opening financial tools, and showing how advanced analytics fits into the same analyst workflow.

Watch for

Import Manager loading normal business files into a managed workspace
Dataset Manager turning raw files into reusable data assets
The platform story across SQL, financial testing, reconciliation, and ML

general_ledgertrial_balancerevenue_registercustomer_masterpayroll_registertime_attendance

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Demo 2

DataLAB Financial Reconciliation

GL to trial balance matching with controlled exceptions

A finance-focused walkthrough of reconciling a full general ledger population to a trial balance, configuring matching logic, reviewing outputs, and turning reconciliation into an exception workflow.

Watch for

Joining GL account/entity keys to trial balance account/entity keys
Comparing GL net movement to trial balance net balance
Reviewing reconciliation status instead of manually scanning raw files

general_ledgertrial_balance

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Demo 3

DataLAB Journal and Payroll Testing

Full-population testing on large finance and payroll datasets

A testing walkthrough showing standardized journal testing on a 2.5M-row ledger alongside payroll testing patterns for high-volume review populations.

Watch for

Journal testing against a realistic 2.5M-row general ledger
Payroll and attendance testing across large HR/finance populations
A standardized testing flow that creates review populations instead of manual spreadsheet hunts

general_ledgerpayroll_registertime_attendance

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Demo Flow

The story is bigger than individual features.

The videos are intentionally ordered around the DataLAB product logic: start with business files, make them managed datasets, ask questions, standardize testing, and automate once the workflow matters.

Load source files with Import Manager

Organize datasets in Dataset Manager

Query and automate through SQL/SnapQL

Run financial testing or reconciliation

Use Advanced Analytics when prediction adds value

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