Our analytics experts ask the right questions to understand your specific business requirements. We then help you stimulate business decisions through simple, clear and interactive dashboards that give you a 360-degree view of the insights you need.
- Identify and track KPIs
- Get custom dashboards, data visuals & data sets
- Leverage Drill-through Ad-hoc Reports
- Business Intelligence & Reporting
- Fraud detection & risk analytics
Our data engineers consolidate & organize your organization’s disparate data into a data lake in the cloud or on-prem, using extract, transform, and load (ETLs). We help ensure that your readily available data (internal/external, structured/unstructured) effectively used for meaningful insights, predictive analytics & machine learning.
- Perform ETLs (Extract, Transform, Load)
- Develop complete end-to-end Data Pipelines
- Create Data Lakes, Rivers, & Warehouses
- Improve the quality and integrity of data
- Develop Data Models
Data science technologies like Machine Learning, Artificial Intelligence, and Deep Learning are highly valuable for using historical data to create predictive data models. Delight customers by knowing exactly what they want ahead of time, identify hidden opportunities from your enterprise data, and enable better decision making.
- Prepare data for modeling purposes
- Identify appropriate algorithms for use-cases
- Develop Machine Learning Models
- Ranking & Scoring data
- Training & retraining models
- Data inferences
Collaborate with our experienced consultants to create a purpose-built data strategy, mapping your analytics initiatives to quantifiable business outcomes. Based on your business objectives we help you get from where you are today, to where you need to be tomorrow.
- Next-gen MDM strategy
- Growth Hacking: Profiling, Touch Points Engineering, Attrition Management, SEO)
- Research-driven data stories
- Data platform modernization strategy
- Intelligent data governance strategy