What you see is what you get

Visualizing data in a simple and meaningful manner is the key to success.

Analytics will be used more when dashboards are self-explanatory.

What we do

  1. Understand the key metrics for various roles across organization
  2. Understand existing MIS reports
  3. Benchmark dashboard needs against bets industry practices
  4. Plan visualization models
  5. Plan visualization security policies
  6. Create dashboards using PowerBI, Tableau, Metabase, D3 Charts, Apache Superset
  7. Maintain dashboards

Benefits

  • Quickly enable users to track business metrics
  • Create a data driven decision making environment
  • Ensure every information collected is used for analysis

‍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