Data first

First we must understand the data. Then we must understand what is inside the data.

Data has hidden facts and surprises. We need to approach it in a structured manner to know those.

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What we do

  1. Understand the data origins, formats, dependencies
  2. Understand the internal consumers of that data
  3. Understand the metrics that are derived out of that data
  4. Acquire the data from origin
  5. Load to data lakes
  6. Create data marts
  7. Plan aggregation routines and periodic jobs
  8. Plan visualization models
  9. Plan visualization security policies
  10. Create dashboards
  11. Maintain dashboards

Benefits

  • Use data to make decisions
  • Reduce human communications across departments for want of data
  • Control the org with full 360 degree view of data
  • Monitor business performance in real time

‍Customer List

IIT Madras
IDFC Bank
MetricStream
Merittrac
Hexaware
HCL Technologies
Global Analytics
Enstar Group
Datascan
Daimler Chrysler Research & Technology
Curatio
Compuware
CompassLabs
Cognizant
TVS Logistics
Star Health
WIPRO
Verizon
Ultramatics
Swaas
Shipnet
RCS
Adrenalin
L&T Infotech

Dr. V. Krithika, M.S., Ph.D.
Honorary Guide
Expert - Healthcare Data Analytics
Passionate about the mathematical concepts behind ML/AI, Management
Sriraman Kalyanaraman
Senior Project Advisor, ICSR, IIT Madras
Principal Data Architect, Resileo Labs
Research on data analytics/Machine learning.
Development of data models for different industries
Planning for dashboard visualization and dashboard security
Development of APM open source tool - APPEDO
Pichumani Nagarajan
Founder & CEO, Resileo Labs

Data analytics, ML, AI
Entrepreneurship
Kaushik Raghavan
Data Architect, Resileo Labs

Data analytics, ML, AI
Test automation
Internet scale performance testing and tuning
Currently doing PhD at IIIT-DM Kanchipuram on data analytics