Insights

Estimation is used in product delivery to help understand when a work item, project or feature will be ready to use. It’s all about creating a shared understanding of the requirements and solution.

Simple applications of AI lay the groundwork for complex projects. By engaging in discrete initiatives that inspire and delight, we begin to see the ways that artificial intelligence can solve problems in novel and exciting ways. The interjection of machine learning into beverage operations today, could be the beginning of something much larger tomorrow.

Strategy is simply the interplay between decision making and timing. A data strategy limits the scope to just decisions regarding value-creation from data.

Epics are a way of organising large items of work and are applicable to all industries, sectors and agile teams. This materialises as an item or tool in an organisation’s hierarchy structure for visualising and delivering upon its goals.

Excel is Microsoft’s powerful tool used for spreadsheets, data visualisation and analysis. While it doesn’t offer the same analysis functionality as coding languages such Python or R, it does offer a highly accessible, user-friendly solution to conducting basic analysis.

Developing deep knowledge in a utilisable field is one of the most practical hedges against uncertainty. We live in the information age, where the only constant is change.

A user story is a simple description used to understand a feature to be made, typically used in Agile work environments; the story of a user. They are meant to be told from the end user's perspective to contrive the most business value.

“Discovery” is a term used to describe an introductory phase of a project focused on aligning expectations, exploring assumptions and agreeing on goals and scope. Those in the know often shorten this term to “Disco”, but rest assured they're not dancing to multicoloured swirling lights - rather, they are collaboratively agreeing on the desired outcomes of the project and then defining the work and delivery plan to achieve those outcomes. Harnessing the power of an Agile approach, discovery is a fundamental element of any project that, crucially, takes everyone’s assumptions, which are often quite different, and aligns them to a shared vision and understanding. 

Big data refers to large, complex data sets often contrived from multiple and new sources. The reason that “big data” has received its own term (after all, it really just means larger datasets) is due to the added complexity that comes with simply adding more data, particularly from multiple sources. 

Data quality is a measurement of how suitable your data is to meet the decision-making requirements of your organisation. More specifically, the broad category of data quality can include metrics of completeness, timeliness, accuracy, consistency, and uniqueness. 

The Market Insights team at Wine Australia needed a tool to present and filter information to give grape and wine businesses the information they needed to make informed decisions. We worked with Wine Australia in a cross-functional team of data analysts, designers, data engineers, front-end web developers and delivery leads. Together we collaborated to create user-centred dashboards that are publicly available on their website.

artisan is a not-for-profit organisation that engaged with Aginic to effectively measure the social and financial impact of their marketing efforts. Our solution, a social media and sales dashboard, helped the marketing team at artisan to make data-driven decisions on what events, products and creators to promote.