P L E A S E  W A I T...
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DATA SCIENCE THAT

DELIVERS

We provide a highly efficient data science delivery model that includes:
  • Pod structure that offers a combination of skill sets required for a particular project
  • Data scientists who are familiar with the area of marketing analytics
  • Starter sets and pre-configured stubs

Challenges We See

Challenges We See

Not able to optimize complex decisions

Challenges We See

Data-driven understanding of what’s driving business outcomes

Challenges We See

Lack of skills and experience in running data science projects

Challenges We See

Inability to predict future scenarios based on multiple business drivers

Benefits of designing and executing data science experiments

Benefits

Higher ROI as insights are actionable for the business

Benefits

Higher confidence in models resulting in higher adoption

Benefits

Industrialized delivery model with high efficiency

Benefits

Uncover hitherto unknown insights about the business

What we do

What we do
Segmentation

Clustering or Classifying customers based on context, behavior and response data

What we do
Forecasting

KPI prediction using seasonal and non-seasonal drivers; Detecting Anomalies and Structural Shifts

What we do
Attribution

Using probabilistic models to attribute conversion to CTAs or Channels or Campaigns

What we do
Cognitive Analytics

AI Solutions using image and text analytics like site chatbots, ad recommender

What we do
Association rule mining

Rule-based machine learning method for learning interesting relations between variables in large datasets

Why Nabler

single pod

Pod structure

why nabler

Data scientists skilled in marketing analytics

why nabler

Pre-built starter sets

why nabler

Can work with GCP, AWS, Azure

Partners

azure logo
databricks logo

Further reading