Analytics: A New Age of Government Transformation

Analytics: A New Age of Government Transformation

Putrajaya Marriott Hotel25 October 2018

event date:
25 October 2018
Ellen Quek
Event location:

OpenGov, in collaboration with MicroStrategy will be bringing to you an exclusive Breakfast Insight session on enterprise analytics for better decision making and optimised business processes.

Interested in getting the Agenda for this event? Request a copy from our staff (

Who should attend?

  • Chief Information Officers
  • Chief Technology Officers
  • Chief Data Officers
  • Head of Data Analytics
  • IT Governance Heads

Topics Covered

  • Big Data and Enterprise Analytics in the government
  • Data Governance
  • Government’s Analytics Journey
  • Tools and data needed

Event Summary


“The tools, concepts and practices of analytics hold the key to understanding massive amounts of data”

YBhg. Dato’ Sri Dr. Mohd Uzir Mahidin, Chief Statistician Malaysia

Department of Statistics, Malaysia

A survey on Artificial Intelligence adoption was recently conducted, in which Malaysia stands in fourth place in ASEAN countries with 8.1% of organisations adopting Artificial Intelligence and 32% organisation planning on adopting. This suggests the amount of data and technology used in organisations are rising to meet the current technological trends.

Technology users are increasingly providing and requiring data especially through the internet, which leads to high data volume to be processed and analysed. However, government agencies still have problems analysing those data and generating insights. This leads to the poor knowledge on citizens and the country.

How can ministers and officials govern the country when the insights they receive are poor analysed and hard to understand?

Malaysia became the world’s first government with staff-certified data scientists and simultaneously, increasing the public sector’s human capability in terms of analytics.

However, are managers capable of understanding these analytics and visualisations? Often, organisations have their in-house analysts or data scientists, but some managers cannot comprehend the reports produced. This obstructs them from making informed decisions and even hinders some business processes.

The Malaysian government has produced many projects, regulations and policies surrounding data. A prominent mention is MAMPU’s (Malaysian Administrative Modernisation and Management Planning Unit) Public Sector Big Data Analytics projects which provides a framework, methodology, platform and even coaching to promote the usage of Big Data Analytics within the public sector.

On top of that is MDEC’s (Malaysian Digital Economy Corporation) National Big Data Analytics (BDA) Framework which encourages the practice of Big Data Analytics while promoting public-private sector collaborations.

Therefore, government organisations are aware of the initiatives and the benefits of adopting for their organisations. Even with numerous efforts by the government, why is Enterprise Analytics still not pervasive in the public sector?

What if the problem lies in the way humans managed these analytically tools?

Organisations adopt multiple sophisticated analytical programs but still find it hard to govern and visualise data. Governing these technologies require two aspects; the right architecture and the right content.

Despite having a myriad of tools, managers must decide which tools to maximise its potential, which to consolidate and which to terminate, to benefit the organisation.

Often, organisations require multiple analytical systems from different vendors because individually, these solutions do not have all the functions needed. In the long run, this situation will utilise more of the organisation’s time, effort and money or this process is prolonged due to data and processing silos.

Intelligent Enterprise is data driven organisation that utilises intelligence model in optimising organisational performance. Intelligent Enterprise comprises a few Intelligence aspects which are human resources, devices, intelligence applications, program, architecture, center, platform and asssets. These aspects heavily rely on one another while also constantly considering aspects of technology, market, regulatory and competitive models.

Malaysia will be the host for the 62nd ISI (International Statistical Institute) World Statistics Congress where statistics leaders and experts from 100 countries will be gathering to promote papers and projects done in the country regarding statistics. Will Malaysia be able to provide triumphing statistical reports compared to other countries, in this analytics climate?

How do we move forward and properly incorporate analytics in our long-term plan?



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