IAPA, the Institute of Analytics Professionals of Australia, is the only analytics association in Australia. We promote the growing strategic role played by data analytics in the business arena. We're committed to aiding executive understanding of analytics' role in business transformation and data-driven decision making; as well as developing recognition of analytics professionals in the wider business community. This includes establishing standards of practice, excellence, accreditation and education.
IAPA also assists and supports organisations to find and retain staff, build high-performance teams, develop staff skills and enhance the perception of key analytics roles within the C-suite.
Organisations with strong data science, analytics and business intelligence competencies, join IAPA as corporate members to demonstrate to staff and the public their commitment to enhancing analytics capability, advancing the careers of team members and promoting data-driven decision making.
Be seen as an employer of choice
Attract and retain analytics staff by demonstrating your commitment to the industry and showcasing your organisation to the 8000 strong IAPA community. Add your voice to key industry issues and help to lead industry positions on ethics, privacy, transparency, diversity and data-for-good.
Collaborate with peers
Joining IAPA as a corporate member means you're joining other analytics leaders to network at CAO or Head of Analytics level. IAPA brings the group together regularly to discuss the key challenges facing analytics leadership and share experiences with like-minded peers.
Resources + Latest News
Analytics: The Key to Driving Success Beyond COVID-19In Navigating Change in Crisis, we explore how individuals and companies are adapting to a “new normal.” Learn how organizations, dev teams, and frontline users are adjusting to meet these challenges of our radically altered world.
Is RPA the same as AI? What’s the Difference, and What Are the Use Cases?RPA uses software robots to automate human actions in business processes that involve interaction with digital systems. These actions are usually simple and repetitive, which makes them prone to human error and can provoke a loss of employees’ motivation and efficiency.