Test large data without UI

Large enterprises use a variety of home grown and packaged software applications. This leads to a multiple databases and systems. Thus getting a macro level business intelligence becomes challenging.

In order to have a simple and efficient business intelligence platform, companies need data warehousing to first aggregate all data in one place. The data must be easily retrievable in the way we want. This is required to draw user defined dashboards and reports.

Without proper visualization, there is no meaning to any data warehouse. Companies use a variety of tools to plot charts and configure dashboards with drill downs.

What we do

  1. Ensure the data model reflects the technical requirements
  2. Test the data extraction routines
  3. Test the data transformation routines
  4. Test the data loading routines
  5. Test the end to end ETL flow for each set of data
  6. Ensure the ETL routines are performing well with respect to speed and resource consumption
  7. Perform recovery tests
  8. Perform data integrity tests
  9. Perform security tests on the data
  10. Ensure the ease of use to build charts and dashboards
  11. Test the performance of BI dashboards

Benefits

  1. Use our best practices in ETL testing
  2. Ensure the ETL routines independently perform well, so that they can be upgraded independently
  3. Assure data integrity at high volumes of data coming in from various systems
  4. Plan and project data growth efficiently
  5. Increase the usage of BI dashboards by your internal and external users

‍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.
Assistant Professor, Sri Ramachandra University, Chennai
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