| Case studies
Driving a data-centric culture for FatFace
- 6 data dashboard screens
- 1 hour updates shown in office
- 7 slides rotating every 30 seconds
FatFace has worked with Yard for five years and they have provided great support across many analytics implementation projects — as well as introducing the Cubed marketing attribution tool — offering new insights on our digital marketing performance. Yard’s work on building dashboards, using the Adobe Analytics API and designs by FatFace, meant that the eCommerce team were able to meet the challenge of bringing current digital data to our head office teams.
— Sarah Clarke, Digital Analyst
Challenge
Embedding a data-centric organisational culture is no mean feat. It requires a democratisation of data, with full transparency of information across teams.
To support this, FatFace asked us to create a bespoke solution that allowed the brand to display Adobe data on large screens within FatFace offices.
The dashboards dynamically update with the latest data for revenue, traffic, AOV, ABS and top-selling products, top searches and more. In turn, this knowledge-sharing has encouraged data literacy, eliminated operational silos and built momentum around business objectives.
Action
The dashboards use live data from the Adobe Analytics report suite. These screens display real-time data presented on an hourly basis. Seven slides auto rotate every 30 seconds. They contain a range of visualisations including graphs, tables and word clouds. The dashboard is also accessible for employees on desktop.
Change
- FatFace has used the dashboards as a useful talking point, particularly for visits from the board and to drive conversations around performance
- Around the clock visibility and generating discussion throughout the business, establishing the impact each job role has on the metrics displayed
- These screens are useful as the ecommerce team adapt to using analytics as the go-to solution for decision making
- After the success of the dashboard, FatFace has requested a further screen to be implemented, pulling all live data from the website homepage
