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Data science is a multidisciplinary blend technology to solve analytically complex problems. At the core is data. Troves of raw information, streaming in and stored in enterprise data warehouses. Much to learn by mining it. Advanced capabilities we can build with it. Data science is ultimately about using this data in creative ways to generate business value This aspect of data science is all about uncovering findings from data. Diving in at a granular level to mine and understand complex behaviors, trends, and inferences
Raw data comes at us with overwhelming velocity and volume. But we are fundamentally visual creatures, so graphical representations will always prove more insightful to us than columns and rows of numbers. That's why data visualisation is so important.
Unsurprisingly, many businesses have fallen at this hurdle. In fact, it shouldn't matter where your data is stored – it could be in Hadoop, a data warehouse, in the cloud or on your desktop in Excel. The data could even be structured, semi-structured or unstructured.
Time is key to gaining actionable insights from data. Traditional business intelligence projects take years to come to fruition, and long-term breakdown in visibility often results in a solution that doesn't fit the original requirements. Agile analytics is turning traditional.