This eBook shows you the best practices on data lifecycle management; collect the data you need, store it securely while you need it, dispose of it when it is no longer needed.
Why don’t Australians trust their org data?
We explore how leaders are planning to fix this to achieve their AI aspirations
Balancing Data Collection and Data Privacy
Organisations are collecting more personal data than ever. Whether to provide a better user experience, improve services and operations, innovate, predict trends, or stay competitive, organisations can extract a lot of value from consumer data.
Manage data collection processes
How can organisations effectively manage data collection processes and avoid the risks of data overcollection?
Writer: Rob D’Astolto
Data Agility’s 20th Anniversary
March 6th 2023 will mark the 20th anniversary of Data Agility. Thank you for your support.
A Data Roadmap
In this article we look at one activity that’s beneficial to a data program of work – creating a Data Roadmap that aligns to your transformation program.
Vodafone Hutchison Australia Data Platform (Telecoms Case Study)
The merger of Vodafone and 3Mobile created a new telecommunications company, Vodafone Hutchison Australia (VHA). However, the new company needed to create a single, unified customer view. A goal that became the driving force behind “Project Forklift.”
Our Ethical Approach to Market Research
Data Agility adheres to the following ethical principles to all of its market research.
Data Thinking for Organisational Transformation
Data thinking can be applied across the four pillars approach of transformation — Data, People, Process and Technology. In part 2 of our article series, we explore data thinking across all areas of organisational transformation.
Most popular insights.
AI – Adoption
Some organisations face stakeholder pressure to implement AI quickly, driven by the fear of being left behind. Thoughtful planning and a solid data foundation are essential to ensure a smooth and effective AI integration
AI – Data Governance
When trust in data and trust in the use of data is a global concern AI’s effectiveness hinges on robust data governance. This eBook addresses the inherent challenges associated with AI driven data governance and how to overcome them.
AI – Data Strategy
As organisations explore the integration of AI into their operations its clear a well defined data strategy is essential. This eBook sets out the key components for the development of your AI data strategy