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Data Engineering

Data is the lifeline of modern organizations. When organized, cleaned and made accessible, data can help today’s organizations by powering Advanced Analytics, enabling AI and Machine Learning initiatives and just by monetizing the data itself.

Our goal at Tiger Data Engineering is simple, free up people and their time. To achieve that goal, we bring in the expertise to collect, clean, transform and manage the data so that you can focus on extracting the most value out of it.

We ensure that all the right datasets (internal and external, structured and unstructured) are identified, sourced, cleaned, analyzed, modeled, and decisions implemented – without losing granularity and value as the data travels this path.

Features

Advanced Analytics Consulting
  • Problem specific exploratory analysis
  • Pre-built exploration dashboards
  • Powerful Modeling Engine
  • 100+ Modeling Options
  • Quick model evaluation & selection
  • Model performance measurement
  • Stability Testing
Advanced Analytics Consulting
  • Problem specific exploratory analysis
  • Pre-built exploration dashboards
  • Powerful Modeling Engine
  • 100+ Modeling Options
  • Quick model evaluation & selection
  • Model performance measurement
  • Stability Testing
data mining visualization techniques
  • Cloud-based deployment
  • Personalized web & mobile apps
+ Cloud Engineering
Advanced Analytics Consulting
  • Problem specific exploratory analysis
  • Pre-built exploration dashboards
  • Powerful Modeling Engine
  • 100+ Modeling Options
  • Quick model evaluation & selection
  • Model performance measurement
  • Stability Testing
+ Big Data Engineering
Advanced Analytics Consulting
  • Problem specific exploratory analysis
  • Pre-built exploration dashboards
  • Powerful Modeling Engine
  • 100+ Modeling Options
  • Quick model evaluation & selection
  • Model performance measurement
  • Stability Testing
+ Modern Data Warehousing
data mining visualization techniques
  • Cloud-based deployment
  • Personalized web & mobile apps
+ Analytical Application Development
+ Business Insights

Case Studies

big data analytics digital marketing

Accelerated Market Mix Models For A Multi-Billion Dollar Portfolio Of CPG Brands

Supply Planning Analytics

Digital Campaign Optimization Algorithms Reduce Customer Acquisition Costs By 50%

marketing data analytics companies

Lead Scoring Models That Prioritize USD 20B Sales Pipeline

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