Older technology deployment approaches that take years to deliver their results are not fit for new government IT environments and their constant state of change. To meet the business needs and evolving requirements, today’s crop of government IT leaders have to move fast and deploy their future-focused mindsets.
With the focus on how the future IT scene plays out, CIOs have to adopt an intentional drive toward modernization. Years previous it was expected for industrial revolutions to take the better part of decades, but today we are seeing it take 6 months to a few years. This compressed timeframe calls for bolder choices from the leadership.
During the global pandemic, agencies were required to transform their operations within days to digitize their missions – with technology teams and CIOs thrust into positions they had never had to deal with before.
This called for IT leaders to be prepared for constant adaptation toward change, with flexibility top of the mind in technological strategy.
Further and Fresher
New technologies and approaches have been able to offer CIOs further and fresher options in increasing their scalability, flexibility and agility. APIs have been able to connect legacy mainframe systems to modern, decentralized architectures. Third-party vendors and organizations have found themselves able to contribute talent and creativity to public sector projects and smarter automation has aided in orchestrating complex environments for faster and more effective solutions.
The approach of stopping governments from building technology time capsules and adopting IT engines that help future-proof their agencies and missions will become more widespread. This also means that IT leaders will need to think differently about their data.
As agencies become more data-driven, the need to analyze mountains of information becomes more of a priority. Transferring these data sets into centralized analytics tools is rapidly becoming costly and cumbersome as the data sets grow. Making it practical means bringing the analytics algorithms to the data instead of the reverse. It is a more flexible and cost-effective approach.
Operating in an age of contextual data, there is growing importance toward supplementing traditional structured data with information that provides context for government decision-making. A suggested approach would be deliberately creating frameworks and strategies to make the most of the data-driven opportunities.
This would start with identifying the data most integral to the company and exploring the goals and intentions for that data. This can anything from reducing software licence fees without losing access to crucial data or determining the value that legacy systems still provide. With steps like these, IT leaders could have a better map to the flow of data required in improving operations, whilst understanding important issues and decision-making.
The future is no longer approaching, it is here now and government IT leaders need to react faster and navigate potential disruptions. For more information on public sector IT and any upcoming risk management events, check out the upcoming events from Whitehall Media.