Store clustering, often also referred to as ‘store grouping’, is a way of grouping stores based on similarities, such as LSM, size and demographics. As [...]
If you want to improve your category management efforts, data analysis can help. In truth, it can do more than help - it can take your business to the next level; set you apart from your competition. [...]
In a past article, we pitted data warehouses against databases to understand which was better for storing and retrieving data. The conclusion: it depends on your needs. If we were to do the same exerc[...]
When talk turns to the topic of storing and reporting on retail data, it’s common to hear debate about which data system is best. Of course, that’s the wrong approach. It’s not about which is best. In[...]
If you want to understand the impact of space management decisions made at store level, there is really only one starting point. That’s your data. You need to interrogate your data if you want answers[...]
Data cubes are used to easily interpret your data. Why? Because instead of analysing large data sets, a data cube represents specific data fields within your database. The benefit of creating a data c[...]
Data visualisations can be described as the representation of information in the form of charts, diagrams or pictures. They are also a powerful way to communicate and share ideas and report on data me[...]
If you work in retail and are serious about your long-term success, investing in data cube software isn’t so much a recommendation as it is a must-have. There are many good reasons as to why we say th[...]
When analysing the performance of your retail business, you no doubt need to consider your retail data. It’s especially vital to do that if you have invested in category management. That’s because eff[...]
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