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Improve HR Planning with Better Data Drive Business

About

A banner highlighting the use of the business intelligence tool to help businesses improve their HR planning

Analyse your human resources and enhance your workforce.

With the right insights, develop targeted hiring strategies to support business goals, create a more conducive working environment with the industry’s best practices and design better HR policies in order to retain good talent.

Get Insights

Analyse the characteristics of your workforce with the business intelligence tool and find out more on:

  • What are your employee demographics
  • How is your manpower distributed
  • How high are your employee morale and productivity

Create an Actionable Plan

By using business intelligence and data analytics tools, businesses identify patterns and trends in their HR operations. Start improving your HR planning by collecting and transforming raw data into insights (18.57KB) and start making strategic decisions and form concrete plans that are specific to your business needs:

  • 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

If you intend to use the data for purposes of managing employment relationship (e.g. managing work schedules/arrangements), consent is not required. However, do check that your employees are notified of these purposes as this is required under the PDPA.

An animated desktop showcases Excel graphs and stats, highlighting the Business Intelligence tool under the BDDB programme by IMDA

Interested in all of the above?

Download the full BI tool package here to start creating your own actionable plan.

Note:
1.  Please download Microsoft Power BI Desktop to use the BI tool.
2.  You may refer to the Interactive Guide should you require step-by-step guidance on how to use the BI tool.
3.  The BI tool may contain personal data. Do protect it by saving it in a device that has strong passwords set and limit access to the device.

DOWNLOAD HERE

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 digital transformation tools and resources to help businesses interested in harnessing the value of data analytics unlock opportunities and future innovation while upkeeping and strengthening customers’ trust through accountability. Find out more below.

Resources

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Managing Employment
Advisory Guidelines on the Personal Data Protection Act for Selected Topics (Chapter 5 on Employment Exception) Chapter 5 of the Advisory Guidelines for Selected Topics elaborates on how the PDPA applies to the context of Employment Exception. 
Anonymising Data
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.  
Marketing to Customers
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. 
Demonstrating Accountability

The Need for Accountability

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.
Securing Data in IT Systems

Data Protection Practices for ICT Systems

Resources on good data protection practices to strengthen organisations’ data protection measures and controls for a robust and resilient ICT system.
Sharing Data
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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Improve demand and supply matching.

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LAST UPDATED: 13 NOV 2024

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