Restaurant managers in QSR commonly spend on average over 6% of their time on scheduling.
Scheduling is complex task, requiring multi-dimensional recall across employee skill levels, compliance with law, sales patterns, employee availability, and staff dynamics etc.
Partnering closely with stakeholders we worked to understand the most time consuming aspects and simplify those for MVP. As a result customers realised value immediately, slashing schedule creation time significantly.
The Data Visualisation UI kit was designed to be the foundation of all visualisations in Accenture Interactive products. The key drivers for the kit were to standardise ways of working, speeding up design, development, testing and improving user experience.
User feedback and behavioural analytics indicated a sub-optimal signup process.
Divergent thinking, research of dominant patterns, and design iteration resulted in a mid-fidelity prototype that could be tested with users and further refined.
QSR Managers are busy on the floor helping staff to respond to customer orders, they need a way to ensure shift compliance at a glance, and at a distance.
High contrast tiles were used to ensure compliance risks could be perceived from across a busy workspace.
The solution was designed to run on POS machines and overhead displays, later being adopted for tablet & mobile.
At any given time the marketing team of a large Australian telco runs multiple campaigns. It is important to understand the campaign schedule, spend, and performance and be be able adjust strategy in in accordance with market response.
Companies face a flood of marketing data but struggle to derive actionable insights. Analytics teams often rely on intuition with traditional tools like Excel, leading to uneven, non-differentiated segments. They are also overwhelmed by trillions of possible solutions, most of which fall short.
The Accenture Clustering Engine (ACE) offers a breakthrough: it uses AI and advanced visualisation to deliver precise, actionable customer segments in hours rather than months. By categorising data into Business Drivers, Profile Variables, and Clustering Variables, it focuses on relevant clusters to create effective segments that boost marketing impact. This platform’s adaptive search process quickly narrows down high-potential solutions, and its visualisation tools empower teams to refine and select optimal segments collaboratively.
Using an Agile and iterative product development strategy, early alpha releases provided inputs that refined the methodology. A prototype of the ACE was used to analyse Microsoft’s Bing customer survey data. The analysis helped Microsoft find strategic target segments within a competitor’s customer base that were primed for conversion.
Agencies have variable data naming conventions. These variables need to be mapped into a hierarchical standardised data model for aggregation and reporting. Brands need to track bookings, spots, and goals to understand workflow next steps.
The Big Stories website is a digital platform designed to capture, promote, and preserve the unique stories of communities across various Australian regions. Each story serves as a window into the lives, culture, and traditions of the people who shape these areas, offering visitors a rich and immersive experience. The goal of the site is to foster a deeper connection between communities and wider audiences, ensuring that the essence of regional cultures is shared and celebrated.
