Get Insights
Discover how to acquire new customers through IMDA’s Business Intelligence Tool. Learn how to harness the power of data analytics to drive your business forward, and unlock new possibilities for customer acquisition and digital transformation.
Analyse your existing customer profiles and find out more on:
- Where your customers are concentrated
- What are their common characteristics
- Which are the popular channels to discover your products
Create an Actionable Plan
Start acquiring new customers by collecting and transforming raw data into insights and start making strategic decisions and forming concrete plans that are specific to your business needs. With Better Data-Driven Business (BDDB) methodologies, you can elevate your customer acquisition strategies and optimise your business performance:
- Learn how to identify data collection points and data types
- Prepare data with templates
- Resolve common problems
- Generate and understand useful insights to create actionable plans
Find out what data you will need here (18.90KB).
If you intend to send direct marketing messages to your customers, do check if you have obtained consent, or meet the requirements under the Do Not Call (DNC) Provisions or Spam Control Act. No further action is required if consent has been obtained.
Any solutions that can export data easily to the BI Tool?
Businesses using IMDA's SMEs Go Digital pre-approved solutions such as point-of-sale (POS), human resource management (HRMS), enterprise resource planning (ERP) or e-commerce systems will be able to find their data already aligned to the requirements of the BI tool. Find out the list of BI tool compatible SMEs Go Digital pre-approved solutions (141.30KB).
Enterprises and ICM vendors who wish to align their data standards to the BI tool to facilitate data sharing can find out more (24.00KB).
Learn More
The PDPC has a suite of tools and resources to help businesses interested in harnessing the value of data unlock opportunities and future innovation, while upkeeping and strengthening customers’ trust through accountability. Find out more below.
Resources
| Advisory Guidelines on Key Concepts in the Personal Data Protection Act (Chapter 12) | Chapter 12 of the Advisory Guidelines for Key Concepts elaborate on and provide illustrations for the Consent Obligation, in particular Chapter 12.71 on the Business Improvement Exception. |
| Data Protection Notice Generator | A free-to-use tool for generating basic data protection template notices to inform an organisation’s stakeholders on how it manages their personal data, in particular the section on reliance on Business Improvement Exception for customer notices. |
| Advisory Guidelines on the Personal Data Protection Act for Selected Topics (Chapter 3 on Anonymisation) | Chapter 3 of the Advisory Guidelines for Selected Topics elaborates on how the PDPA applies to the context of Anonymisation. |
| Guide to Basic Data Anonymisation Techniques | This guide provides a general introduction to the technical aspects of anonymisation, including basic concepts and techniques. |
| Advisory Guidelines on Key Concepts in the Personal Data Protection Act (Chapter 12) | Chapter 12 of the Advisory Guidelines for Key Concepts elaborate on and provide illustrations for the Consent obligation, in particular Chapters 12.23 and 12.27 on Deemed Consent by Notification and sending of direct marketing messages under the Do Not Call provisions. |
| Advisory Guidelines on the Do Not Call Provisions | The Advisory Guidelines on the Do Not Call (DNC) Provisions provide an explanation of how the DNC Provisions, which are set out in Part 9 of the PDPA, may apply in different scenarios and allows organisations and individuals to better understand the requirements. |
| Resources on accountability to help organisations strengthen trust with the public, enhance business competitiveness and provide greater assurance to customers in the digital economy. | |
| Data Protection Trustmark Certification |
The Data Protection Trustmark (DPTM) is a voluntary enterprise-wide certification for organisations to demonstrate accountable data protection practices. The DPTM will help businesses increase their competitive advantage and build trust with their customers and stakeholders. |
| Resources on good data protection practices to strengthen organisations’ data protection measures and controls for a robust and resilient ICT system. |
| Trusted Data Sharing Framework / Data Sharing Agreements |
For businesses and their data partners to explore and pilot innovative use of data in a safe “environment”, in consultation with IMDA and PDPC. The Sandbox reduces uncertainty in compliance to current and planned policies, and limits the exposure of companies and consumers. |
| Model Contractual Clauses on Cross Border Data Flows |
Template contractual terms and conditions that may be included in the binding legal agreements between businesses transferring personal data to each other across borders. This helps reduce the negotiation and compliance cost and time especially for SMEs while ensuring personal data protection when data is transferred across borders. |
| APEC Cross Border Privacy Rules Certification |
Developed to build consumer, business and regulator trust in cross border flows of personal data and helps to bridge differing national privacy laws within the APEC region, reducing barriers to the flow of information for global trade. |
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