Agenda

08:30

09:00

THE EVOLUTION OF WORKFORCE ANALYTICS & HR DATA 

09:10

  • Mapping of the evolution of workforce analytics 
  • Using workforce analytics & HR data to build your influence 
  • What the future of workforce analytics looks like 

ALIGNING DATA ANALYTICS TO ORGANISATIONAL STRATEGY 

09:50

  • Aligning your HR function and data analytics to your key organisational goals 
  • Identifying the right course of action and using analytics to guide the process 
  • Working with other heads of department to match HR analytics to organisational strategy 

10:40

ENGAGEMENT & WELL-BEING 

11:10

  • Enhancing employee engagement at each stage of the employee journey 
  • Improving talent retention through effective data analytics 
  • Identifying and addressing reasons for attrition 

11:40

  • Devising and implementing effective well-being programs based on data-driven evidence  
  • Using the right metrics to effectively monitor employee well-being & engagement 
  • Assessing & improving engagement & well-being programs

12:20

WORKFORCE PLANNING & FORWARD SCHEDULING

01:20

  • Preparing and selling the case to management for a dedicated analytics team 
  • Implementing a real-time scheduling system using data 
  • Measuring return-on-investment 

01:50

  • Partnering with third parties to develop custom-built software solutions 
  • Using data to analyse and prepare for current & future “what-if” scenarios 
  • Developing & implementing data-driven shift creation 

02:20

EQUITY, DIVERSITY & INCLUSION 

02:50

  • Understanding internal and external factors leading to gaps in representation 
  • Implementing effective recruitment practices & eliminating unconscious bias 
  • Introducing effective reporting measures 
  • Using analytics to track the success of diversity & inclusion initiatives 

03:20

  • Developing and implementing people strategy to key organisational outcomes 
  • Extracting and using the right data to achieve equitable goals 
  • Using analytics to ensure workforce planning & caseload management meets organisational needs 

03:50

04:00

04:10

08:30

08:50

RECRUITMENT

09:00

  • Using data to define key performance predictors 
  • Using data to identify candidates whose strengths are congruent with high performance 
  • Implementing an evidence-based, data-driven approach to recruitment 

LEARNING & DEVELOPMENT 

09:30

  • Identifying the right metrics to assess training effectiveness 
  • Using data analytics to align L&D programs to organisational goals 
  • Using real-time feedback to understand & improve L&D programs 

COST-EFFECTIVE DATA ANALYTICS 

10:00

  • Using your existing data to full effect 
  • Selecting and implementing the right software for your organisation 
  • Implementing a system of clean data reporting 

10:40

DATA INTEGRATION  

11:10

  • Understanding what data is required for which purposes 
  • Getting consistent and meaningful buy-in from management and other departments 
  • Integrating data from multiple older platforms and creating a single source of truth 

VISUALISATION 

11:40

  • Creating and conveying an effective story with data visualisation 
  • Using data visualisation tools to enhance the data literacy across your organisation 
  • Turning data into insight and insight into action with effective visualisation tools 

RISKS & ETHICS

12:10

  • Understanding the ethical implications of data retention & usage
  • Protecting your employees, organisation and reputation
  • Deciding the difference between what “could” versus what “should” be used
  • Navigating ethical culture in a post-GDPR world

12:40

01:40

Roundtable I – Structuring remuneration through analytics  
Martie Van Der Schyff, Senior Remuneration Consultant, Auckland Council 

Roundtable II – Measuring employee wellbeing & engagement
Diane Edwards, General Manager People,  Foresight and Innovation, Ports of Auckland

03:00

IMPROVING ORGANISATIONAL CAPABILITY

03:20

  • Identifying & implementing modern ways to measure & manage performance
  • Shifting from process-based analytics to outcomes-based analytics
  • Shifting from employee-focused metrics to customer-focused metrics
  • Using analytics to remunerate on, person-based, rather than role-based metrics

THE FUTURE OF DATA ANALYTICS 

03:50

  • Understanding aspects of the future of work 
  • Using data to match workforce trends with organisational needs 
  • Appreciating the limits of data analytics and the need for human input 

04:20

04:30

04:40