@gov - Inspiring innovative government | KPMG | BE
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@gov - Inspiring innovative government

@gov - Inspiring innovative government

@gov is a new digital magazine designed to deliver forward thinking and transformative insights to government professionals as they face increasing demands and emerging societal needs in a changing world.


Partner, Technology Advisory

KPMG in Belgium


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In January, the @gov editorial team assembled to discuss the issues raised by leading sector clients throughout 2016, and to share our perspectives for the year ahead. Perhaps unsurprisingly, given the volume of discussion data and analytics continues to attract across private and public sectors, the subject looks set to dominate government agendas in 2017.

The role of data is more significant than ever in public sector strategy, and is increasingly helping government to meet the demands of citizens as to how, when, where they access services.

As governments seek to gain a more complete data picture to deliver more responsive services, and keep up with the relentless pace of private sector innovation, the issue of trust between government and citizen plays a more important role than ever before.

Under the theme of ‘data-driven government’, issue two of @gov focuses less on system integration tools, and more on the role of data and analytics in helping bring tangible solutions to service delivery challenges.

While several successful D&A initiatives by various departments and agencies are profiled — from smart transit apps to predictive analytics programs to forecast future service demand — we also provide an account of the challenges still facing many government agencies, with practical next steps based on experience with a range of government and private sector clients.

The topics selected can help move governments forward in their data journey, regardless of where they are today, starting with establishing the right governance and putting the right executive leadership in place (page 6), to overcoming public fears that surround data-sharing (page 8), to more advanced, future-looking applications like predictive analytics (page 22) and intelligent automation (page 28).

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