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Introduction to data science
Managers often discover that they have tons of business reports but no real data for decision support. Business intelligence is not always enough, therefore it is supplemented by analytics and data mining which enables users to discover hidden patterns in data and predicting probabilities of events in the future. — MonitorPro winter 2012, p. 30-31
Business intelligence for better decision support
Decision support requires relevant, timely, precise and easily available information. To provide such information, companies must constantly maintain their information systems to ensure that data is available at the right time to the right people who use it for reporting, analyses and making sound business decisions. — Article published in Info SRC.SI, Year 2004/Issue 39, p. 16-18.
Business processes and business intelligence
Business intelligence is evolving from a reactive (“What has happened?”) into a more proactive (“What will happen?”) role. In order to maximize benefits it would make sense to more tightly combine business intelligence (BI) with business process management (BPM) rather than implement each solution individually. – Article published in MonitorPro, spring 2011, p. 28-29.
Bringing ETL and BI closer together
A widespread reason why projects don’t meet expectations is that they fulfill specifications to the dot but neglect to consider what the users really wanted. IT professionals typically argue that the application that they delivered does exactly what the requirements say. Unfortunately, requirements are sometimes ambiguous, incomplete, or just plain wrong. Sure, it is not…
Diving into data
All of us who work with data could donate some of our expertise to charitable causes through non-profit organizations. The organization DataKind helps to bring together volunteers with organizations who need data related services. I decided to attend an event organized by DataKind’s European operation DataKindUK based in London. The event, which was basically a hackathon, took place the…
The future of data warehousing is agile
According to many sources, agile data warehousing is the way to go in the future. Recently, Larissa Moss spoke about this topic at the TDWI conference in Munich, Germany in her session Extreme Scoping: Agile approach for enterprise-class EDW/BI. The main point of her session was the importance of the availability of data that is clearly understood…
