Forestpin Analytics is a self-service forensic data analytics platform designed to automatically identify transactional irregularities, fraud, errors, and operational waste. Developed by the Sri Lankan software firm Forestpin (founded in 2012), it focuses heavily on a query-free workflow. This allows non-technical business professionals to upload data and spot outliers without requiring a background in data science. Core Functionality & Features
Query-Free Anomaly Detection: Instead of forcing users to write database queries, the system runs pre-configured mathematical and statistical tests on the data to flag anomalies instantly.
Forensic & Analytical Tests: It runs specialized forensic checks including Timeseries Tests, Duplicate Tests, and Relative Size Factor (RSF) Tests to look for unusual spikes or formatting issues (such as an accidental extra trailing zero on a payment).
Customisable Dashboards: The software generates an initial default dashboard using data visualization concepts heavily inspired by data expert Edward Tufte. Users can drag, drop, resize, or filter specific analyses to fit their team’s review needs.
High-Volume Processing: Built using 64-bit computing and in-memory processing optimizations, the desktop analytics tool is tested to smoothly manage up to 5 million records.
Flexible Data Ingestion: Teams can quickly copy-paste data directly from spreadsheets, import CSV files, or set up automated server pipelines connected to an existing Enterprise Resource Planning (ERP) or financial infrastructure. Target Users and Industries
The platform is designed primarily for corporate shared services teams, internal auditors, and financial compliance units managing massive daily transactional volumes. It is widely used across multiple sectors:
Insurance (e.g., verifying claims data and minimizing processing leakages)
Retail (e.g., catching anomalous spikes in inventory write-offs or stock returns) Manufacturing, Banking, and Leisure The Two-Product Ecosystem
Forestpin generally deploys its technology through two tightly integrated products:
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