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The first step in a data management workflow is often a centralized repository to store all of your structured and unstructured data at scale. Use this data lake to run different types of analytics directly on raw data and to serve as a cost-effective landing zone for downstream data modeling.
Leveraging Tableau stories and annotations to explore household inflation in the UK.
Leveraging customer data to understand their behaviour, preferences and motivations can lead to significant return on marketing investments. However, with large numbers of customers, traditional business intelligence practice is to reduce customer data down to aggregated metrics, typically focussed on pre-defined segments (or cohorts) of the customer base. Whilst useful, this process discards some insight that can be revealed only by looking at individual customer-level records. In this blog, we discover a way to use Qlik Sense's On-Demand App Generation to study user-defined cohorts.
by Hannah Lissaman, Senior Consultant, and Louis Lindsay, SDA at Keyrus UK
Creating and deploying enterprise dashboards has never been easier. With Qlik Sense, a business user of a dashboard can even create their own content, simply drag and drop a chart and select from prepared master items. This is one of many features that make Qlik Sense a great platform for organisations promoting data literacy and self-serve analytics. However, sometimes the resulting one-size-fits-all look and feel of Qlik Sense dashboards can leave us feeling a bit limited in terms of design.
When creating reports for clients they can be financial penalties if they don’t meet the agreed standards, particular in the financial sector.