search
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-first
WNS Forecaster allows business users to create projections for different business functions by applying advanced analytics to any time series dataset
WNS-Predictor-first
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-3-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
WNS-Predictor-3-steps

Standout Features

Deep-learning-algorithms

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

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

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

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

Diagnostic tools

  • Assesses the model’s accuracy on test samples
help-decision-making

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
 
wns-forcaster-advantage

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
CONTACT US