current issues about digital...
TRANSCRIPT
Current Issues about Digital Government
Charin Thiratitayangkul Vice President of Policy and Strategy
Electronic Government Agency (Public Organization) (EGA)
Agenda• Digital Government Maturity Model
• Digital Business Component and Development Path
• Top 10 Strategic Technology Trend for 2016
• Digital Government Policy Landscape
• Digital Business Leader Behaviors
• Smart City Technology
Key Findings • Digital government is not an end but a
means to accomplish affordable and sustainable government services and operations (aka smart government).
• The key to progress for digital government maturity is a singular focus on the exclusive use of data in designing and delivering government policies and services.
• The Gartner Digital Government Maturity Model defines five levels of increasing maturity: initial, developing, defined, managed and optimizing.
• In any organization, the transition to digital government will be a multiyear journey involving uncertain negotiations among multiple independent parties, thus requiring planning for agility rather than stable, detailed goals. The first level of maturity reflects the achievements and behaviors of traditional e-government programs.
Source : Gartner (September 2015)
Digital Government Maturity Model
“Digital government is government designed and
operated to take advantage of digital data in optimizing, transforming, and
creating government services.”
RecommendationsAgency and whole-of-government CIOs in different government tiers and domains should aggressively work with other leaders to leverage the Gartner Digital Government Maturity Model to: • Assess the organization's ability to shift from the
traditional digitization of services (which was typical of e-government) to the use of digital data, redesigning and optimizing end-to-end cross-cutting value chains, or creating new partner ecosystems facilitated by data exchange and the use and reuse of data.
• Develop high-value, outcome-oriented business use cases that reinforce the value of — and compliance with — information-centric principles and practices.
• Identify gaps in existing capabilities, and establish plans to transition to the next phase. This creates the outline for individual business cases to drive the investment, time frame and metrics to inform the progress at each phase.
• Promote and institute the leadership, governance and partnerships necessary to effectively and sustainably support digital government transformation.
Source : Gartner (September 2015)
Digital Government Maturity Model
The Components of a "Digital Business"
What Digital Business Means to CIOs CIOs should consider these factors to determine their readiness: • Consider how your business can be made substantially
more valuable through a deep understanding of how people, business and things connect and work together.
• Use scenario planning to explore how your organization
might design its business future state differently to engage with new and existing partnerships, and with customers.
• Develop digital leadership and become the digital
storyteller, the person who can convert the theory into concrete reality for the business.
• Embrace digital business opportunities throughout the
entire value chain. Reassess business models in light of digital business.
Source: Gartner (July 2015)
Top 10 Strategic Technology Trends for 2016
• The digital mesh is a human-centered theme that refers
to the collection of devices (including things), information, apps, services, businesses and other people that exist around the individual. As the mesh evolves, all devices, compute and information resources, businesses, and individuals will be interconnected. The interconnections are dynamic and flexible, changing throughout the day. Building digital business solutions and user experiences for the digital mesh, while addressing the challenges they create, must be a priority for IT leaders.
• Smart machines describe a theme that starts with how the information of everything is evolving to extract greater meaning from a rapidly expanding set of sources. Advanced data analysis technologies and approaches are evolving to create physical and software-based machines that are programmed to learn and adapt, rather than programmed only for a finite set of prescribed actions.
• The new IT reality theme addresses key areas in which technology architectures and platforms must change to support the world of digital and autonomous business enabled by the digital mesh and smart machines. New architectures for security, systems, applications and services will be required. Also, platforms must evolve to address not only the ongoing mobile computing challenges, but the unique requirements of the Internet of Things (IoT). Unless organizations address these architectural and platform issues, they won't be able to address the opportunities and challenges of the digital mesh and smart machines.
The top 10 strategic trends include three groupings of complementary trends that are mutually reinforcing with amplified disruptive characteristics:
Source: Gartner (October 2015)
Priority Matrix for Smart City Technologies and Solutions, 2015
“ Many smart cities have been implemented with
support of central and city governments and vendor
consortia. In fact, an increasing number of best practices related to actual
implementations and operations — such as smart public services in London,
smart parking in Santa Monica, California, and
intelligent lampposts in Auckland (New Zealand) —
along with new demonstration experiments with the Internet of Things (IoT) technologies
(for example, smart public transportation systems in Jilin City, China), have emerged to
both drive the city smarter and open new possibilities for
smart cities.”