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In my blog post this month, I will be discussing how an organisation can stay focused on improving data-centricity even if it is embarking on down-sizing initiatives. It stands to reason that during tougher economic times it is much more difficult to motivate for an upgrade to data-related infrastructure, an increase in staff, or even …
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 …
