SYDNEY, 10 DECEMBER 2019 – Tableau Software, the leading analytics platform, announced today its Asia Pacific Data Readiness Index (DRI) developed together with IDC, a global market intelligence firm. The DRI reveals that leading data-ready organisations in Asia Pacific (APAC) produced an average of 90% better business outcomes than laggards. Despite this, only 20% of businesses are in the leading band with a majority in the developing (66%) and lagging (14%) bands. In contrast, Australian organisations have experienced greater business improvements (+22%) compared to the regional average (+17%) and almost half are in the leading band.
The survey highlights that people-related traits like employee data skills and organisation-wide collaboration are seen as key performance drivers. To help organisations navigate the challenges of becoming data ready, Tableau launched its Tableau Blueprint, a strategic framework with concrete plans, recommendations, and guidelines.
More than 700 organisations in APAC were surveyed across five dimensions to determine their state of data readiness and indexed into three bands, leading, developing, and lagging. Data readiness refers to an organisation’s capability to make data central to their business through widespread adoption of analytics. APAC results are published in IDC's Executive Insights report, Data Readiness: Business Impact for the Digital Era and Australian highlights are published in IDC’s Australian Highlights Executive Insights report, Data Readiness: Business Impact for the Digital Era - Australian Highlights.
“Australian organisations are at the forefront of leveraging data to drive innovation in APAC. However, today’s rapidly evolving business landscape commands a need for organisations to become truly data-driven in order to sustain their innovation. Our recently launched Tableau Blueprint helps our customers adopt a holistic yet tailored approach along this data driven journey,” said Mac Bryla, Technology Evangelist, APAC, Tableau.
"The DRI captures an organisation's ability to harness its data to secure enterprise KPIs. We see big differences in DRI across functions and industries throughout Asia. The factors that drive DRI like skills, leadership, technology, governance, and process also vary widely. These reveal some valuable lessons for business leaders about the initiatives to prioritise in particular circumstances," said Dr. Chris Marshall, Associate Vice President – Analytics, Big Data and Artificial Intelligence in IDC Asia Pacific.
Australia Leading the Way
According to the survey, Australia is one of the most data-ready markets in the region and organisations are outperforming the average scores in all five dimensions. The findings suggest that Australian organisations are developing a cycle of innovation and the strong business improvements are encouraging continued investment in data and analytics initiatives. However, the survey also reveals a gap between the implementation of people-related and process factors which have scores of 4.0 and above, and that of technology and governance of 2.9 and 2.4 respectively.
The report recommends that Australian organisations should leverage technology and adopt an integrated model for data governance to sustain their innovation and drive growth.
Overall, Singapore (52%) and Australia (49.5%) have the largest number of organisations leading the way. India has the most organisations that are lagging behind (30%). APAC markets rank as follows on the index:
Markets Average DRI score
4 South Korea2.69
5 Hong Kong2.67
Access the full report
Becoming data-driven with Tableau Blueprint
Tableau Blueprint provides a holistic framework that goes beyond the technical aspects to build core capabilities critical for an organisations’ success with data; agility, proficiency and community. It can be used by any organisation regardless of where they are in their data journey. Tableau Blueprint recommends organisations build an agile data environment that is flexible and can evolve with the needs of the business, increase analytics proficiency in the workforce and create a sustainable community to drive adoption of analytics. This is underpinned by the right balance of trust and enablement within the organisation.
Executives from over 700 organisations in seven markets (Australia, China, Hong Kong, India, Japan, Singapore and South Korea) were surveyed on key dimensions of data-readiness – people-related factors (skills and organisation), process, technology and governance. Based on the results, organisations were classified across three bands of data-readiness, leading, developing and lagging. The DRI scores were also evaluated in relation to various business outcomes to understand the impact on performance.
Tableau helps people see and understand data. Tableau’s self-service analytics platform empowers people of any skill level to work with data. From individuals and non-profits to government agencies and the Fortune 500, tens of thousands of customers around the world use Tableau to get rapid insights and make impactful, data-driven decisions. See how Tableau can help you by downloading the free trial at: https://www.tableau.com/trial.
The survey also revealed varying levels of data readiness in APAC across industries, organisation size and departments. These findings include:
- Larger organisations typically have higher DRI scores, driven primarily by people skills and processes showcasing their consistency in setting up processes and hiring talent with the necessary data skills as compared to smaller/privately-held organisations.
- Functionally, sales and operation are the most advanced in using data to guide and support their work. On the other hand, finance, marketing and human resources show room for improvement across the various dimensions.
- Financial services and insurance, as well as professional services industries are the most data ready.
- Industries that need to catch up with low overall DRI scores and in the individual dimensions are communications, media and telecommunications (CMT)and utilities. The utilities sector is not yet conducive for data-led innovation, while CMT have most executives making decisions based on personal intuition (35%).