Science

Data Science / Decision Science

Let the science drive decisions ...
Probably actions too!

Decision science is about solving a business use case by a blend of statistics, right technology platform (machine) & domain expertise to stay ahead of competition.

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At DataPhi we consider data an enabler for effective decision-making process, as opposed to traditional view of data as a tool for incremental improvements.

Data Science

Data Science

Data is the tool for improving and developing new products based on robust statistical methods
Decision Science

Decision Science

Data is the tool to make decisions

Decision Science in work …

Sales & Marketing

Sales & Marketing

  • Customer segmentation
    (RFM, clustering)
  • Association rule mining
    (market basket)
  • Buying propensity
  • Personalization
  • Sales forecasting
  • Marketing mix analysis
Operations

Operations

  • Forecast distribution demand for optimum coverage
  • Reduce transport costs using AI powered route optimization
  • Reduce downtimes using smart maintenance schedules
  • Improve efficiency by AI powered smart routing for logistics and travelling salesman problem
Customer Service

Customer Service

  • Sentiment analysis
  • Churn predictions
  • Influencer marketing
  • Text analysis
Finance

Finance

  • Fraud detection
  • Risk analytics
  • Credit scoring
  • Real time interaction management
Shared Services

Shared Services

  • Employee churn prediction
  • Smart acquisition

DataPhi at work

We combine business knowledge gathered through our experience with technical expertise and deep skills in statistical techniques/ algorithms to provide quantifiable business outcomes.

How we can help

We can assist you in your decision science journey at any stage

Proof of concept
Extract insights from focused data to support larger use case
Establish data science platform
Create a data science platform to empower long term vision of data centric decision making
Solve a business 
problem using data
Define use case based on a critical business problem and create an execution plan
Training
Enable in-house teams to take up decision science challenges

Use Cases

Improve forecasting accuracy by 60% using AI

A large CPG manufacturing and distribution company achieved up to 60% improvements in forecasting accuracy using AI based forecasting

Identify cross-sell opportunities to increase sale by 30%

A large fashion and beauty retailer identified cross-sell opportunities which improved cross category sale of products by 30% using ML algorithms

Chart buying journeys for customers to improve LTV

Large fashion retailer in GCC region used RFM segmentation to identify potentially high value customers and enable automated online buying journeys

Get personalized recommendations for website visitors

Identify customer buying propensity by integrating online and offline customer data and personalizing user experience to increase customer interaction.

Let’s start your data/decision science journey...

Lead Capture