Financial Intelligence Software (FIAB) | Financial Data Analytics Services | Finance Business Intelligence Tools & Platform

Harness Advanced Analytics to Enhance Insights, Improve Control and Unlock Efficiencies

Financial Intelligence-in-a-Box (FIAB) is a comprehensive and future-ready suite of advanced financial analytics-led techniques, applications, methodologies and dashboards, powered by Artificial Intelligence (AI), Machine Learning (ML) and Natural Language Processing (NLP). WNS' financial analytics services enables a rigorous and pragmatic analysis of accounting and financial data to help financial institutions improve control, unlock working capital, optimize utilization, plug leakages, identify outliers and abnormalities, and strengthen risk and compliance, among other direct benefits.

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Analytics-Driven Finance: Use Data as Fuel, Not as Exhaust

Drive Finance Transformation with Gen AI

Designed to empower CFOs and Controllers, FIAB encompasses:

Analytical assets to enable monitoring and enhance controllership
Exhaustive set of tools and techniques to prevent financial leakages
Technology accelerators to improve efficiency and effectiveness leading to monetary gains, including direct bottom-line impact
Investigative reports that uncover opportunities such as working capital enhancement across receivables and payables
Practical and risk-free designs to tap into unexplored opportunities. WNS’ industry-first Journal Entry Analytics is a prime example

Core Features

Digit Distribution Analytics

Enables forensics to detect potential frauds, data irregularities and process design flaws as well as minimize abuse

Advanced Econometric Modeling

Calibrates cause and effect to optimize resource use

NLP-powered Text Analytics

Traces uncommon cause, abnormal claimant behavior and uncommon spends

Fuzzy Matching Algorithm

Eliminates root cause of duplicate payments; soundex algorithm helps prevent duplication in third-party names

ML and Predictive Model

Improves accuracy of predictions constantly

Advanced Time Series Model

Learns from the past and creates risk management scenarios; detects and optimizes spend / revenue trends

Led by Smart Applications and Tools

Risk and Audit Analytics

Unlike conventional risk audits, which are based on random sampling techniques and that fail to detect numerous blind spots – WNS Risk and Audit Analytics enables the user to triangulate potential leakages from abnormal, risky and fraudulent payments (within the ambit of Accounts Payable (AP) / Procure-to-Pay (P2P) or claims (travel and expense)).

WNS Risk and Audit Analytics uses a combination of advanced analytics, ML, visualization, fuzzy logic and NLP to identify audit targets.

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Journal Entry Analytics

This application helps penetrate through information embedded in journal entries with intelligent and grounded analytics while addressing the challenges of lack of automation and standardization, broken approval processes, and absence of control and visibility. It is designed to help glean information to enhance process efficiencies.

Some of the key benefits include:

Triangulation of abnormal transactions
Simplification / standardization / automation
Rationalization of entity and Chart of Accounts (CoA) structure
Flattening of peak load
Minimization of risks

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Cash Flow Forecasting

This application is an easy point-and-click tool designed to help accountants (even without any data science background) make accurate projections or forecasts. Depending on the data fed, it can forecast and project cash outflows based on payment data, inflows based on revenue data and net operating cash flows based on journal entry data. Besides the easy-to-use interface, the application provides a comprehensible summary of the different models applied to the data (for the user to choose the best-fit scenario).

Working Capital Analytics

Backed by advanced statistical algorithms, this unlocks a significant amount of cash from the Accounts Payable process. It encompasses payment cycle analysis, pay-term rationalization, pay-run optimization, discount analysis and more, leading to a substantial rise in incremental free cash flow and improvement in DPO and vendor satisfaction scores.

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Duplicate Invoice Detection

WNS Duplicate Invoice Detector is a universal duplicate detection tool, which leverages advanced fuzzy match to detect duplicates from any data feed and can be used across Accounts Payable to identify duplicate invoices or payments. It can be used to rationalize master data across vendors, customers and products.

A lightweight app that requires minimal setup efforts (from two weeks to under six weeks), WNS Duplicate Invoice Detector is highly scalable to adapt to specific business requirements.

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WNS Forecaster and Predictor

WNS Forecaster and Predictor are intuitive tools that empower accountants and business teams to accurately project and predict outcomes. WNS Forecaster facilitates easy forecasting of cash outflows, inflows and net operating cash flows using diverse data types. WNS Predictor enables non-data scientists to employ machine learning techniques on multivariate datasets for predictive modeling. Both applications feature intuitive interfaces and provide comprehensive summaries of applied models, aiding data-driven decision-making. With these user-friendly tools, businesses can optimize financial planning and make informed choices across diverse domains.

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WNS Advantage

Flexible and Scalable

FIAB can be hosted both on-premise and on cloud (AWS or Azure), driving considerable flexibility and scalability for clients.

Strategic Use of Data as a Fuel

FIAB has been designed to serve as a flexible and easy bolt-on solution, thereby enabling immediate gleaning of data right from the source.

Industry-first Offerings

Many FIAB applications / tools, including Journal Entry Analytics and Reconciliation Analytics are industry-first offerings, thus giving our clients the first-mover advantage.

Easy to Deploy

The FIAB suite has been built with a lightweight design principle in mind, enabling businesses to quickly deploy and operate. The implementation time typically ranges anywhere from two weeks to under six weeks.

Customized to Business Needs

WNS offers clients access to these analytical innovations and Centers of Excellence (CoEs) for a Proof of Concept (PoC) project as well as a multi-phased roadmap-led engagement.