Analytics
Our first step is to understand your business requirements then help in your business decisions by simulating through simple, clear and inteteractive dashboards to provide deeper picture of the insights you need.
- Business Intelligence & Reporting
- KPI tracking and identification
- Develop custom dashboard, data sets & data visuals
- Leverage Drill-through Ad-hoc Reports
- Risk analytics & Fraud detection
Data Engineering
Out experts focus on practical applications of data collection and analysis to convert it into data lake in cloud environment by following ETL (Extract, Transform, Load) chain. This enable to turn available data effectively utilized for meaninful insights, predictive analytics and machine learning.
- Improve the integrity and quality of your data
- Develop Data Models
- Develop data pipelines with end-to-end completion
- Perform Extract, Transform and Load (ETL)
- Create Data Stream and Warehouses
Data Science
Predictive data models are developed by using historical data through techniques of Deep Learning, Artificial Inteligence and Machine Learning etc all comes under Data Science. Glee clients by giving upfront knowledge about exactly what they want in advance by identifying hidden opportunities from enterprise data to empower better decision making.
- Identify appropriate algorithms for use-cases
- Prepare purposefull data models
- Develop Machine Learning Models
- Ranking, prioritizing & Scoring data
- Data implications
Data Strategy
Data Strategy needs to understand data needs inherent in the Business Strategy. We quantify your business outcomes by creating purpose-built data strategy includes Data Management vision, strong business case/reason with Metrics and measurements of success intact with your business plans and goals to help you get from where you are today to where you target to be tomorrow.
- Data platform modernization strategy
- Intelligent data governance strategy
- Data stories as Research-driven
