What is Data-driven Enterprise Programme?
To promote and facilitate business enterprises towards making data-driven decision to create value from data and be AI ready for the future.
Data and AI will enable business enterprises to reach new markets, better serve existing customers, streamline operations and monetize raw and analysed data.
Program offerings for business enterprises
Data Knowledge Workshops / Webinars
Complimentary Data, Analytics and Artificial Intelligence Assessment
2 hours complimentary consultation session with MDEC’s Data and Analytics Experts
Access to talent and training / upskilling facilitation
Use cases/solutions sharing and business matching with Data Technology Providers
Data Knowledge Workshops / Webinars
Complimentary Data, Analytics and Artificial Intelligence Assessment
2 hours complimentary consultation session with MDEC’s Data and Analytics Experts
Access to talent and training / upskilling facilitation
Use cases/solutions sharing and business matching with Data Technology Providers
DATA DRIVEN ENTERPRISES
WHO IS IT FOR?
For business enterprises aspire to be data driven enterprise
With data, a data driven enterprise will have visualisation of their CURRENT (State) and PAST (Historical) to enable decision making. And with the application of advanced analytics on these data, it is possible for enterprise to forecast FUTURE (to be).
What are the most common challenges and frustrations faced by decision makers?
I don’t know what I don’t know
Can I get the data?
Do I know what data I want?
Can I rely on the data?
Can I get the data fast enough?
How can I find talent with the necessary skillset?
CORE BENEFITS OF DATA DRIVEN DECISION
Increase Revenue
Increase Productivity
Create New Sources of Growth
Better Business Optimisation
Increase Revenue
Increase Productivity
Create new Sources of Growth
Better business optimisation
HOW DATA CREATE VALUES ACROSS DIFFERENT INDUSTRIES?
DATA DRIVEN INDUSTRIES
Banking and Securities
Customer analytics
Fraud analytics
Investment analytics
Marketing analytics
Fraud analytics
Investment analytics
Marketing analytics
Communications and Multimedia
Advertisement targeting and personalized recommendations
Call data processing
Customer experience analytics
Network operation and planning
Call data processing
Customer experience analytics
Network operation and planning
Healthcare
Fraud analytics
Medical risk analytics
Readmission analytics
Resource and assets optimization
Medical risk analytics
Readmission analytics
Resource and assets optimization
Utilities
Customer intimacy
Energy trading
Load forecasting & shading
Risk management
Energy trading
Load forecasting & shading
Risk management
Manufacturing and Resources
Digital twin development
Fraud analytics
Plant maintenance
Predictive product demand
Quality control and management
Fraud analytics
Plant maintenance
Predictive product demand
Quality control and management
Transportation
Passenger analytics
Passenger mobility as a service
Train / Bus analytics
Passenger mobility as a service
Train / Bus analytics
Retail
Marketing effectiveness
Customer insights
Merchandise management
Customer insights
Merchandise management
Insurance
Fraud analytics
Claims analytics
Marketing analytics
Claims analytics
Marketing analytics
Education
Learning analytics
Dropout analytics
Dropout analytics
Wholesale Trade
Inventory analytics
Supply chain optimization
Supply chain optimization
Banking and Securities
Customer analytics
Fraud analytics
Investment analytics
Marketing analytics
Fraud analytics
Investment analytics
Marketing analytics
Communications and Multimedia
Advertisement targeting and personalized recommendations
Call data processing
Customer experience analytics
Network operation and planning
Call data processing
Customer experience analytics
Network operation and planning
Healthcare
Fraud analytics
Medical risk analytics
Readmission analytics
Resource and assets optimization
Medical risk analytics
Readmission analytics
Resource and assets optimization
Utilities
Customer intimacy
Energy trading
Load forecasting & shading
Risk management
Energy trading
Load forecasting & shading
Risk management
Manufacturing and Resources
Digital twin development
Fraud analytics
Plant maintenance
Predictive product demand
Quality control and management
Fraud analytics
Plant maintenance
Predictive product demand
Quality control and management
Transportation
Passenger analytics
Passenger mobility as a service
Train / Bus analytics
Passenger mobility as a service
Train / Bus analytics
Retail
Marketing effectiveness
Customer insights
Merchandise management
Customer insights
Merchandise management
Insurance
Fraud analytics
Claims analytics
Marketing analytics
Claims analytics
Marketing analytics
Education
Learning analytics
Dropout analytics
Dropout analytics
Wholesale Trade
Inventory analytics
Supply chain optimization
Supply chain optimization
DATA, ANALYTICS AND ARTIFICIAL INTELLIGENCE READINESS ASSESSMENT
Data, Analytics and Artificial Intelligence (DAAI) Readiness Assessment will help you understand your organisation’s data-driven enterprise transformation readiness level and provide recommendations to embark on data-driven decision journey.
How will you benefit from this DAAI Assessment?
- Learn about your organisation’s data, analytics and AI strategies and gain insight into the common challenges your organisation face.
- Collect an all-rounded, clear understanding of your organisation’s data, analytics and AI readiness levels by completing all dimensions offered in the assessment tool.
- Receive a personalised report unveiling how you can overcome your biggest challenges and bring your organisation’s data-driven journey to the next level.
Organization
People
Process
Technology
Data
Use-case
SUCCESS STORIES
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Check out other programmes under DataKITA
DataKITA.Hub
A one-stop centre for all things Data-AI, for embarking and enriching data journeys for businesses.
Data Labs (Sectorial Pilots)
Empowering diversified sectors with data driven digitalization towards boosting the Digital Economy.
Data Technology Providers Programme
Facilitate vibrant collaborative ecosystem to catalyze and proliferate data technology adoption for business enterprises.
