For example, Vicinity has created a Vision, Strategy, Action plan KPI dashboard to track COVID-19 recovery and general shopping centre performance. Tableau has also been leveraged to navigate the impacts of COVID-19. This initiative has resulted in significant cost avoidance as well as additional analysis to optimise use of solar energy and help Vicinity in its pursuit to achieve net zero carbon emissions. The forecasts, which are visualised using Tableau, are then used by centre-based operations teams to enact strategies that reduce peak consumption. This in mind, the Data Science & Insights team built a machine learning algorithm to analyse factors like footfall, weather, day and time, to forecast energy demand 24 hours in advance. Vicinity particularly wanted to reduce peak consumption, on which energy tariffs are based. One of these is an ongoing drive to reduce consumption of energy which has both an impact on environment and profitability. In addition to pushing out data for daily analysis and reporting, Vicinity’s Data Science & Insights team has leveraged Tableau to support a number of key initiatives. It also established a Tableau Creators group in Microsoft Teams to share updates, events, and training opportunities.Īwareness and uptake of Tableau has also grown as a result of the platform being embedded into key business processes like Vicinity’s shopping centre budget and planning process undertaken semi-annually. To help, Vicinity created online training videos and set up a dedicated Tableau support email. One of the hurdles to onboarding was familiarising users with a whole new way to access data. And while onboarding was a challenge in the beginning, the use of the portal has grown to include more than 600 employees and receives more than 30,000 dashboard views monthly. It features groups and sub-groups linked to topics and job roles and includes links to educational resources for new users. The portal-accessed via the Vicinity intranet-was developed leveraging best practice from Tableau on how to establish an effective folder and permissions structure. The majority of these licenses are held by Tableau Viewers who are able to access more than 300 live dashboards from Vicinity’s Tableau insights portal. Vicinity’s adoption of Tableau has scaled from 130 licenses in 2015 to 750 licenses as at September 2021. The insights gained help to ensure each retailer is placed in the right location for more sustainable profitability allowing Vicinity to leverage the full value of their shopping centre space. Interactive analysis of tenant performance, examining specific stores, categories, centres, and retail brands. Tableau is used to visualise these datasets and provide business users with easy, immediate access to insights.įor instance, leasing executives now have a suite of Tableau dashboards that enable It’s also expanded its collection and analysis of Wi-Fi data, bank card transaction data, demographics, and mobile phone location data to create insights that can improve retailer and customer experiences.Īll data is stored in a centralised data lake, with a data warehouse on top containing more usable datasets, including machine learning and forecasting models. Alongside this, there’s been a real effort to improve our data collection,” said Coleman.Īs an example, Vicinity has installed traffic counters at each shopping centre to gather robust data on footfall. “The journey we’ve been on has been about putting as much data as we can in the hands of our people so they can make more informed decisions. Some of these data points were previously siloed in spreadsheets while some were simply not captured at all. With Tableau, Vicinity’s centre management and leasing teams across Australia can now access a range of data points to better inform decision-making and help manage initiatives like social distancing inside shopping centres.
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