Skills

Conclusion

Major increases in demand for ICT and business professional employment in the year 2020 have been reported, despite the economic downturn. These increases are important to note as they signal a post-pandemic increase in ICT investment in the year 2021 and in future years to support enhanced business systems and demand (user) computing.

To complicate matters a survey of Australian CIOs indicated that it will be more challenging to find qualified technology employees in 2021 compared to pre-pandemic market conditions. Unless recruitment programs are well thought out, the inability to recruit the right people will stifle plans to take advantage of ICT growth opportunities in 2021.

The Latest

18 February 2021: The latest Australian Bureau of Statistics (ABS) Labour Force report highlighted major increases in employment for ICT and business professionals.

Net increases of note in the period were:

ICT professionals 

  • programmers (14%)
  • network professionals (16%)
  • web designers (16%)
  • database administrators (23%)

Business professionals

  • accountants (14%) 
  • information / organisational professionals (27%).

Who’s impacted

  • CIOs
  • Sourcing Teams
  • Human Resources

What’s Next?

These increases are consistent with forecasts that found ICT spending would increase in 2021 to
secure growth opportunities and support remote staff.

Employment increases of the scale above inevitably trigger investment in new systems that need
innovative software solutions, hardware, and specialised ICT services, all of which open the door for
market-ready vendors to promote their offerings.

Related IBRS Advisory

  1. ICT Trends 2021-2021: No new normal and the fourth wave of ICT
  2. IBRSiQ: Can IBRS help in an understanding of where Australian companies are in relation to spend vs revenue? 
  3. Why benchmarking IT costs and staffing is important

Conclusion:

Digital transformation initiatives will drive organisations to grow existing skills and develop new competencies. Unless this need to grow is recognised and plans developed to train geeks in advance, projects will falter and delays will frustrate stakeholders.

To avoid failure it is imperative that organisations develop workplace initiatives to close the (presumed) skills gap, and ensure the business case for the transformation includes funds to train the right people (geeks) and upskill them. Unless the initiatives are identified, and funds allocated, sponsors will need to continually ask for more resources – a career-limiting activity.

Conclusion:

Too often, information communications technology (ICT) and business analytics groups focus on business intelligence and analytics architectures and do not explore the organisational behaviours that are required to take full advantage of such solutions. There is a growing recognition that data literacy (a subset of digital workforce maturity1) is just as important, if not more important, than the solutions being deployed. This is especially true for organisations embracing self-service analytics2.

The trend is to give self-service analytics platforms to management that are making critical business decisions. However, this trend also requires managers to be trained in not just the tools and platforms, but in understanding how to ask meaningful questions, select appropriate data (avoiding bias and cherry-picking), and how to apply the principles of scientific thinking to analysis.

Conclusion:

Minimising risks from systems specification errors and cyber risks from network intrusions when an enterprise-wide digital transformation is underway is a daunting task, as many stakeholders could be impacted. Depending on the severity of the error or network intrusion, an incident could damage a brand’s image and shareholder confidence in the board. In the public sector, a cyber incident could result in the leaking of citizens’ private data and put an unwelcome spotlight on ministers and bureaucrats.

While boards are ultimately responsible for monitoring and minimising risks, they must ensure management creates a risk abatement framework and strategy, and executes it. The problem is compounded when the organisation’s aim is to transform or reshape its business model and the changes proposed are resisted by staff concerned at possible job losses or fear of failure – risks which must be addressed in the strategy.

Conclusion: Most organisations have vast pools of data (a. k.a. information assets) lying underutilised, as many IT and business professionals are unsure where it is stored and are unaware of its value. To turn the situation around organisations must strive for data mastery1, which is the ability to embed the data into products and services to increase efficiency, revenue growth and customer engagement.