Information
Management
Data Architecture
Define a set of models, policies, rules or standards to manage how data is collected, stored, arranged and integrated in data systems for better accessibility
Data Integration
Create a unified view of data through combination and transformation of data from disparate sources into meaningful, valuable and trusted information
Data Visualization
Create visualization in the form of charts, graphs, dashboards, etc. to display more valuable and useful set of information
Data Virtualization
Retrieve and manipulate data to deliver a simplified, unified and integrated view of trusted business data in real time or near real time as required by the users
Advanced
Analytics
01. Machine Learning
Automate analytical model development with algorithm to learn your data and unlock hidden insight and foresight
02. Predictive Model
Use statistics of data mining and probability to identify what might possibly happen in the future
03. Optimization Model
Use mathematical models to decide and solve constrained business challenges
04. Unstructured Mining
Extract meaningful information to make data mining and analyzing unstructured data more productive
Organization
Transformation
01. Data Governance
Establish framework, processes, standards, policies and procedures to govern disciplines of master data, metadata, data quality and data security for operationalization
02. Strategy
Outline a 3-year implementation roadmap based on existing data management, organization and technology capabilities assessment and maturity level to support your digital transformation journey
03. Change Management
Define strategies to deal with the transition of restructuring organization, re-engineering business processes and reshaping organization culture and values as a result of digitalization