Upscaling Digital Capabilities for Better Business Practices
The Better Data Driven Business (BDDB) programme helps SMEs gain deeper consumer insights and scale up their businesses through responsible use of data. Through this programme, free resources are provided to help SMEs safeguard their customers' personal data while making more effective use of data to remain competitive in the digital economy.
The BDDB programme aims to support two types of SMEs, those that are starting to learn to use data to generate insights, and those that seek to apply and share data for more complex purposes.
Through BDDB, learn how to:
- Collect necessary data safely;
- Combine data across systems with adequate protections; and
- Share data externally with partners and suppliers safely, in line with the requirements of the Personal Data Protection Act (PDPA) obligations.
Be Inspired
Curious about how others are using data responsibly and effectively to grow their business? Take a look at some real-world examples of how businesses have leveraged on data to derive user insights that brought about sustained benefits and growth for their business.
Kearea:
Buying into data-driven business
As a unique platform selling modern gadgets and devices, the e-commerce company leveraged on data analytics to gain more insights into their customer purchasing behaviours and boost sales.
McDonald’s Singapore:
Feeding the restaurants of the future with data-driven analytics
As part of their digital transformation, McDonald's Singapore looked at data analytics to build a strong foundation for data-driven decision making to serve up a stronger user experience for their customers.
Grand Hyatt Singapore:
Driving a five-star experience with data
Data-driven customer insights have helped the hotel create luxury experiences that is tailored to each of their guests’ needs, improve on their customer service and resolve operational challenges.
Get Started
Transform raw data into insights, drive action and derive greater results for your business with our user-friendly business intelligence (BI) tool! The BI tool will help you easily convert your business data into visual dashboards to help address five common business objectives.
Designed with built-in data protection practices, the BI tool is based on data protection exceptions under the PDPA (e.g. business improvement and managing employment relationship exceptions) and only collects necessary data. Data are also generally pseudonymised.
What do you want to know more about?
Click on any of the five business objectives below to learn more about each of them!
Build Data Capability
Get hands-on practice and guidance of the BI tool!
IMDA, in collaboration with NTUC network including NTUC U SME, NTUC LearningHub and the Employment and Institute (e2i), aims to help SMEs better understand the value of their data, learn about successful data-driven use cases for business improvement, and build capabilities in using data through implementation-based training. e2i will also be funding up to 100 training places as part of the collaboration.
Learn more at https://www.usme.org.sg.
List of Compatible Solution Providers
Businesses using point-of-sale (POS), human resource management (HRMS), enterprise resource planning (ERP) or e-commerce systems from IMDA's SMEs Go Digital solution providers will be able to find their data already mapped to the requirements of the BI tool.
Get insights with the BI tool easily with the list of solution providers below:
S/N | Category | Company | Compatibility with Business Objectives | ||||
---|---|---|---|---|---|---|---|
Grow Product Sales | Acquire New Customers | Retain & Engage your Customers | Improve HR Planning | Lower Inventory Costs | |||
1 | E-commerce |
Creative eWorld Pte. Ltd. | ✔ | ✔ | ✔ | ||
2 | ERP |
Illum (9) Pte. Ltd. | ✔ | ✔ | ✔ | ✔ |
|
3 | HRMS |
HRM Labs Pte. Ltd. | ✔ | ||||
4 | HRMS |
Opensoft Pte. Ltd. | ✔ |
||||
5 | HRMS |
Whyze Solutions Pte. Ltd. | ✔ |
||||
6 | POS |
Coobiz IT Solutions Pte. Ltd. | ✔ | ✔ | ✔ | ✔ | |
7 | POS |
EPOS Pte. Ltd. | ✔ | ✔ | |||
8 | POS | Suntoyo Technology Pte. Ltd. | ✔ | ✔ | ✔ | ✔ | ✔ |