Data Science Consulting

Nabler is one of the top data science consulting firms using cutting-edge Machine Learning and Artificial Intelligence technologies,to get you driven by data and soar your ROI

Popular Use Cases

KPI Forecasting


  • We facilitate forecasting through Data Science using seasonal and non-seasonal drivers; detecting anomalies and structural shifts.
  • With pattern detection, we identify relevant data elements through pattern analysis, correlation analysis and anomaly detection to give you data quality validation.
  • With feature design, we build features based on pattern identification level shift adjustments, Fourier transforms, associations and regressed features.
  • We give forecast recommendations at multiple levels for anomaly/spike alerts and assessments against historical benchmarks. We also validate actual and forecasted comparison, gap assessment, feature rectification, and model refraining, if required.
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Data Science Personalization

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Personalization


  • We help you personalize the user experience of your customers’ entire life cycle through deployed enterprise-grade machine learning based solutions.
  • Whether you are looking to deploy a scaled one-to-one marketing strategy, personalized web experience, or intelligent chatbots for customer services, Nabler’s AI and ML solutions can help you with better converting CTAs, relevant product recommendations, higher converting landing pages, and enhanced customer loyalty.

Attribution Modelling


  • We use probabilistic models to attribute conversion to CTAs or channels or campaigns for effective marketing analysis.
  • Through the attribution model, we give you a campaign strategy optimization solution, which is a mix and sequence of the deployment parameters and solution design by gathering DFP’s User ID level log data from Google Marketing Platform with descriptions and integrations of multiple files.
  • We also sequence impressions at user ID and bidding rate changes, add meta data for context, provide recommendations on the strongest and weakest links, and attribution modelling of clicks and revenue.

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Data Science Customer Segmentation

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Customer Segmentation


  • We give you historical and current behavior attributes that segment visitors in a cluster.
  • These clusters are based on product, channel and content affinity, purchase intent, navigational sequence, and level of customer loyalty and engagement.
  • For effective customer segmentation, we use key indicators like context information (customer attributes, weather, days, date range and time slot); campaign responses(frequency, recency, channel and content); purchase history of products as in repeat, upsell and X-sell sequence, and browsing history with visitor, session, and hit level attributes.

Our Workflow


Understand Problem
Stackholder Buy-in
Ingest Data
Clean & Shape
Evaluate & Create Model
Results & insight
Consumable & Actionable

Our Key Differentiators


Our Key DifferentiatorsImpactful Data Analytics solutions We build a customized end-to-end Machine Learning infrastructure and run multiple experiments for the best approach to derive insights from data.
Our Key DifferentiatorsGreat customer experience We leverage sentiment analysis to accommodate emotions and preferences of your customers to translate them into ideation as well as product research.
Our Key DifferentiatorsReduced risks We adopt a proactive approach to risk management by using advanced technologies that give you faster insights for prompt decisions.
Our Key DifferentiatorsContinuous support We give you a dedicated team with Big Data analytics expertise for quality data analysis.

The Tools We Work With


Eclipse
Eclipse
Eclipse
Eclipse
Eclipse
Eclipse
Eclipse
Eclipse

Find out how we helped a reputed, multinational IT firm organize and transform their marketing Big Data to prepare for the future. Read the case study.

Become a market leader with our transformative Data Science consulting