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.
Report: Are Australian Leaders Ready for the Impact of Artificial Intelligence?
Understand the impact of Artificial Intelligence from Australian leaders’ point of view.
Data Governance Implementation
Data governance implementation is a well-planned people-centric activity. Learn how to instigate data governance to help achieve business benefits.
Measuring and Managing Data Quality
In this last part of our data quality blog series, we look at the 7 dimensions of data quality and the ways you can assess and fix data quality issues.
Top causes of poor data quality and how to fix them – People and processes
Learn the root causes of poor data quality related to technology and how you can address them to ensure your organisation gets access to high-quality data that is reliable and serves its purpose.
Machine learning and ethics
Advancements in artificial intelligence (AI) and machine learning (ML) have grown exponentially over the past years.As the capacity to gather copious amounts of data has increased, the curation and development of highly targeted algorithms have also developed rapidly....
6 things that affect your data quality and reliability
Learn how Data Agility designed a solution for genetics and genomic data for the Department of Health in Victoria.
5 new data analytics industry trends to look out for in 2021
Learn how Data Agility designed a solution for genetics and genomic data for the Department of Health in Victoria.
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Our Ethical Approach to Market Research
Data Agility adheres to the following ethical principles to all of its market research.
Are You Collecting The Data You Need?
Are you collecting the data you need? Collecting more data does not necessarily lead to more useful information or better decision-making. In fact, the overcollection of data can lead to wasted resources.
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.