Financial Intelligence-in-a-Box (FIAB)

From Data to Foresight

In today's fast-paced business landscape, the answers to many of your organization's challenges lie buried within your data. However, the path to data-driven problem-solving is often hindered by the complexities of statistical analysis. To tackle these obstacles, modern business challenges call for tools that are more sophisticated than mere spreadsheets – tools that can adapt seamlessly to diverse applications.

Forecaster and Predictor from WNS are statistical analysis tools that empower business users to make data-driven decisions with easy-to-digest insights from complex, enterprise data.

WNS Forecaster allows business users to create projections for different business functions by applying advanced analytics to any time series dataset
WNS Predictor enables non-data scientists to carry out predictive modeling with pre-loaded Machine Learning (ML) models

How it Works: Unveiling Insights in 3 Simple Steps


WNS Forecaster

Select any time series dataset
  • Stock market data to forecast performance, sales data for revenue projections, or accounts receivable data for cashflow forecasting, for example
Upload the data to WNS Forecaster
  • Eliminate trend, seasonality and cyclical variations
  • Get the best analytics model tailored to the data type
Get the best analytics model tailored to the data type
  • Obtain forecasts from several models with their accuracy measures

WNS Predictor

Select any multivariate dataset
  • An accounts receivable dataset, for example, to classify if a payment will be received in the next one month or to determine the status of reconciliation of an account in a general ledger
Upload the data to WNS Predictor
  • Utilize 10 ML techniques to train the data
  • Leverage various evaluation metrics to suggest the optimal model
View results instantaneously
  • Explore descriptive summaries in tabular and graphical formats
  • Uncover insights such as linear associations between pairs of variables
  • Access predictive results based on the best ML model, selected based on diagnostics tests

Standout Features


Deep learning algorithms

  • Applies state-of-the-art ML techniques to train your datasets
  • Recommends the right model for the use case based on certain evaluation metrics

Customizable set of variables

  • Categorizes training data relevant to your business needs
  • Produces a summarized view of the data based on selected variables

Intelligence from data patterns

  • Provides graphical representations of the data to spot hidden patterns
  • Establishes correlations between different variables and categories
  • Detects outliers for finance teams to focus on

Different data modeling techniques

  • Uses different statistical models to classify the training datasets
  • Provides results based on the various models used
  • Identifies key factors with highest forecasting weighting

Diagnostic tools

  • Assesses the model’s accuracy on test samples

Forecasting / prediction to help decision-making

  • Provides instant projections for new data that enters the system
  • Offers flexibility in choosing the model most suitable for large datasets

The WNS Advantage

  • Industry and Business Function Agnostic Application
  • Crafted by Expert Data Scientists, Data Engineers and Statisticians
  • Expert Guidance on Model Selection
  • Intuitive and User-friendly Interface
  • All-in-One Platform Offering Diverse Outputs
  • Enhanced Accuracy through Rigorous Diagnostics
  • Cost-effective and Secure Cloud Delivery