We were proud to be a partner of Keboola Data Brunch #2, which took place in Bratislava, Brno and Prague on 12th, 13th and 14th September. The event was organised to show how business intelligence (BI) can be implemented and its practical impact on business. Attendees included managers from FMCG retail, banking, financial services, insurance and food delivery. Here we bring you the highlights from the three days.
Václav Svačina from Ascoria presented a case study of how the Keboola connection and GoodData dashboards were implemented for the stationary retail outfit McPen. The most important part of the whole implementation process was to train all employees at McPen – from shop assistants to managers – how to work with BI dashboards. For BI to be at its most effective and helpful on a daily basis, it is crucial that a customised dashboard is allocated to every employee in the company.
BI dashboards and reports can positively influence the sales motivation of shop assistants in-store and, in turn, boost store revenues. When employees have performance benchmarks at their disposal, they are more likely to sell more goods. And although the effect is not permanent, by running motivation programmes for employees every few months, an increase in productivity can be achieved.
BI implementation helps managers save time. For instance, McPen managers used to spend a few hours a day working with Excel spreadsheets. Now they can instantly access GoodData dashboards and reports, allowing them much more time to communicate and manage employees in-store.
Following the presentation, there were many questions from the attendees, which led to discussions on interesting topics related to business intelligence and retail. The main questions were:
Lukáš Puchrik from CleverAnalytics presented a case study on location intelligence – the optimisation of Česká spořitelna’s branch network. Before the project, Česká spořitelna used to make decisions “in-house” based on their experience and know-how of the market. Although this was a tried-and-tested method for the bank, they were also looking for a more objective and accurate way of gathering data.
They transferred all of their data sets on customer addresses, branch visits and card transactions (cards issued by Česká spořitelna comprise one-third of the market) as well as other third-party data sets to the CleverAnalytics platform. The platform’s increased indicators enabled them to evaluate their entire branch network in the context of location and to better track the individual performances of branches.
For example, when comparing two branches in a chart, metrics like customers, revenues and visits are often used. Using these metrics only, however, the branches can appear similar. But when comparing two similar branches on a map using the CleverAnalytics platform, the increased indicators provide a clearer picture. For example, the catchment area of current customers can indicate catchment area overlaps, market share and whether there is potential for opening a new branch.
Following the presentation, key questions asked included:Following the presentation, key questions asked included:
There were a lot of questions on location intelligence and how to implement it. To answer some of them, we prepared an infographic on the topic.
We’re organising a new event on the subject of location intelligence. We’d like to hear from you. What areas are you interested in? Feel free to send us an e-mail or contact us to post on our Twitter, Facebook, LinkedIn.
If you’re an expansion director responsible for optimising your branch network, it’s vital that you have the right tools to help you interpret your data. So why do you need to optimise your branch network in the first place? In a nutshell, so you don’t get left behind. Not only are customer perceptions of the usefulness of bricks-and-mortar b