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Some days I get really flexed out of shape about the rate at which new terms become spontaneously combusted in the BI and analytics industry. The latest I came across is the term “elastic data warehouse.” So what are we doing here – bending the rules, stretching the imagination or flexing our muscles here? Now …
Applying complex analytics on a very wide and rich dataset data is fundamental to deriving insights when researching new approaches to specialised care, optimising the effectiveness of clinical trials, reducing the lead time from research to clinical practice – all with the objective of improving quality and longevity of life. However, identifying, accessing, managing and …
In order to cater for the demands of a modern data-centric and analytics-driven organisation, one needs a more extensive ecosystem for analytics than what a traditional simple “data source – ETL – data warehouse – dashboard” environment can cater for. This is especially relevant considering the more complex data types and structures and the more …
The increased use of analytics, coupled with an exponential growth in the volume and complexity of data, has changed the business intelligence landscape forever. Business users’ sophistication has extended beyond descriptive reports and dashboards into data exploration, predictive modelling and aspects of cognitive computing. Traditional requirements-driven ETL, data warehouse and reporting approaches do not meet …
