How can intelligent decisioning help build the government of the future?

By on 05/11/2020
A woman stands at the foot of a climbing wall and looks upward to plan her route to the top—a metaphor for the challenge facing government departments in making the right decisions to deliver digital transformation.

Effective government rests on the ability to make fast, fair, and accurate decisions. In today’s fast-moving digital society, how can government departments keep pace with the velocity, volume and variety of data they need to analyse to make well-informed decisions?

Today, most government departments are still hampered by inefficient manual processes, delaying access to insight and making it difficult to act quickly in response to rapidly evolving situations such as Brexit and the COVID-19 crisis. Digital transformation is a necessity, but it can seem impossible to deliver due to the sheer scale of the change required.

Modern analytics techniques such as artificial intelligence and machine learning, combined with traditional statistical analysis, can help bridge the gap from today’s reality to tomorrow’s digital workflows.

A recent report from SAS Institute explains how these technologies can be used to support an intelligent decisioning strategy, where the skills and experience of human decision-makers are augmented with powerful, real-time, automated decision-support capabilities.

By integrating processes with a central “decisioning brain”, intelligent decisioning can help government departments to:

  • Relieve pressure on critical services by automating manual decisioning tasks
  • Provide personalised digital services, tailored to each citizen’s needs
  • Accelerate service delivery for benefits approvals and similar processes
  • Increase security by detecting fraud and streamlining investigations processes
  • Save taxpayers’ money by increasing the overall efficiency of government services

To learn more about how your department could benefit from intelligent decisioning, register below to download the full SAS report.

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