Analytics platforms have transformed from supporting IT and finance functions to enabling business users across the enterprise. Enabled by digitization of business processes and customer interactions as well as reduced cost of storage, today, different teams and users across the enterprise can access powerful data for informed decision-making.
We offer data validation, data operations, data engineering and feature engineering services to integrate, verify, prepare and transform data into formats that can be accessed by analytical models and tools. We drive data analytics – data analytics platform, big data analytics solution, predictive analytics and customer analytics – using new generation data science and analytics tools, ML/AI and industry-grade statistical models to deliver advanced, real-time analytics.
We leverage our iDEA framework and data analytics platform to:
- Data Engineering: Integrate and organize large volumes and diverse formats of data from disparate sources
- Feature Engineering: Transform the prepared data into derived variables
- Big Data Analytics: Analyse the data and build models for data analytics solutions
- Data Science and Analytics: Derive insights to help business architect key decisions
Data
Operations
Audit data for veracity, completeness and validating sources
Data
Engineering
Integrate, clean, organize
and prepare data
Feature
Engineering
Transform the prepared data into derived variables
Feature Engineering
Data
Analytics
Analyze data to generate reports and dashboards
Data
Science
Build models and algorithms for analytical solutions
Data Maturity
Assessment
Transform the prepared data into derived variables
Business Value of Our Data Solutions
- Reliable, consistent and accurate data
- Single source of truth – purged and verified data
- Real-time access to data with zero latency
- Transformed data that is relevant for statistical and machine learning models
Business Benefits of Data Insights
- Improved customer service
- Better predictability of revenues & profitability
- Enhanced employee productivity
- Better, sharper insights for product and business teams that translates into:
- Business agility – faster time-to-market
- Real-time decision making
- Improved business forecasting
- Personalization of products and services
Data Technology Focus
