Throughout the development lifecycle - from design and implementation to testing and evaluation - specialist skills from enterprise service management (ESM) and technological backgrounds are needed to integrate the right technology and tools. Even when the right talent has been identified, competition amidst an exponentially increasing skills gap is making it harder and harder for businesses to acquire the right specialist skills.
Across InterQuest Group we are seeing increasing client demand for the skilled talent needed to implement these technologies. For example, demand has increased for Project Managers (47 percent), Business Analysts (44 percent) and Service Desk Analysts (58 percent) over the last five years; these roles consistently feature in the top 10 in-demand roles across the group.
Once the necessary technologies are in place, mathematical and analytical talent capable of driving business intelligence strategies are critical if the investment is to harvest results. The core purpose of deploying a big data solution and cultivating a data driven culture is to build a competitive advantage through business intelligence. The best Data Scientists and Data Architects; able to design, co-ordinate and model data assets are crucial resources when converting data into actionable intelligence.
The dissonance between the expectation of big data solutions amongst CEOs and the reality of what big data is actually achieving within organisations, is visibly linked to the gap in skills in the jobs market. Leading tech companies, such as Amazon and Google, have cultivated data centric cultures built on niche specialist talent.
Further, organisations with technical expertise on the board prove to be far more adept at implementing business intelligence. In order to execute scaled big data solutions, organisations must equally execute sophisticated hiring strategies and implement them from the top down.
Sign up for Computerworld eNewsletters.