Plan
Data Strategy: Assessment, Technology Roadmap, Tool Evaluation, Use Case Definition, Capacity Planning
Data Management
The effective management of data within any organization has grown in importance in recent years. Organizations are subject to an increasing number of applications, compliance regulations, exponential growth in volumes & formats and the sheer amount of data being generated by every user from every transaction in real-time.
Our approach to Data Management helps you with:
- Acquisition - Identify, connect and acquire data from ANY source (structured, unstructured, industrial)
- Integration - Integrate, cleanse and transform from multiple sources and formats
- Storage - Build data mart/warehouse/lakes for Data Analytics and Visualisation
Align
Data Management: Architecture Blueprint, Platform Rationalization, Metadata Management and Data Quality & Governance
Run
Agile Data Delivery: Data Integration, Testing Services, Platform Lifecycle Services and Migration/Upgrade
Innovate
Data Provision: Information Delivery, Performance Engineering and Knowledge Management
Data Analytics
Data Analytics can add value to any business that wants to use its data well. From statistics and insights across workflows and hiring new candidates, to helping senior staff make better-informed decisions, Data Analytics is valuable to any company in any industry.
Our approach to Data Analytics helps you with:
- Modelling - Train data samples based on a model
- Processes - Run instances to process data and improve
- Discovery - Patterns, forecasts, dependencies through scientific techniques
Plan
Strategy: Data Sample Review, Use Case Definition and Building the Hypothesis
Align
Model Definition: Statistical Model, Algorithms- ML, NLP, Rapid Prototyping, Training Dataset
Run
Process Execution: Model Deployment, Algorithms- ML, NLP and Result Generation
Innovate
Information Assets: Information Metamorphosis, Insight Delivery and Knowledge Management
Data Visualisation
Organizations today need insights into markets, customers, and their own internal processes to stay ahead of the competition and to deliver sustainable business performance.
Our approach to Data Visualisation helps you with:
- Using historical data to draw insights
- Responding in real-time to current needs
- Using predictive analytics to stay ahead
Plan
Analytics Strategy: Analytics Assessment, Technology Roadmap, Tool Evaluation, Architecture Blueprint, Business Case Modeling and Capacity Planning
Align
Solution Architecture: Analytics on Cloud, Digital Analytics, Rapid Prototyping, Cross-functional Analytics and Product Incubation
Run
Analytics Factory: Competency Centre, Analytics Operations & Services, Post Go-Live Support, Testing Services and Migration/Upgrade
Innovate
Analytics as a Service: Insight Delivery, Dashboard Management, Predictive Analytics, Knowledge Management and Training Services
Solution Engineering
Platform Engineering, Dashboards & Scorecards, Self Service BI Frameworks, OLAP Cubes Management, Application Integration and Cross-Platform Reporting.
Solution Support
Analytics Center of Excellence, Pre-implementation Assessment, Selection of Data Analytics Tools, Migration and Version upgrades, Performance Optimization and User Training.
Solution Extension
Visualization Wireframes, Mobile Analytics, Cloud-based BI applications, Open Source Frameworks, Embedded Analytics and Information Collaboration Tools.
