Monthly Archives: May 2016
On a level playing data field for a small business
Running a start-up or a small and medium business has lots of challenges. The ability to get new clients, marketing and media exposure, attracting new talent, everywhere Davids are up against the Goliaths. More so when it comes to the use of data for taking decisions. Large companies have been at the forefront of adopting technologies to foster innovation for strategic advantage. They procure the latest in technology, build strategic partnerships with leading technology vendors, have an large of analysts and developers to build highly focused analytical solutions for
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3 things about a no frills data analytics platform
In a recent conversation with an ex-colleague of mine, he noted while I was demonstrating our platform that small and medium businesses can use it is a no frills tool for building a Data Warehouse (DWH). To be honest, I would have previously never associated that term with a B2B SaaS product. And when I was thinking about it afterwards, it started making sense. Objective Firstly, let’s start with the main objective of such a platform. The big names that would come to your mind when you hear
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Embrace the dark data matter
Companies, big and small, all have the same problem when it comes to data analytics. Despite the best efforts of IT and senior management, business users end up building shadow BI/data systems of their own. Talk to anyone who has been part of a large scale BI implementation, they would readily accept that the end result turns out to be to just take data from the right sources, clean it and provide in an Excel format. So much so that, in many a places, the busiest time for
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Data Utopia – steps to reality
What is a data driven organisation? Getting a bunch of reports delivered to business users in the organisation or building some beautiful looking dashboards that executives have access to is just a start. The next step of using the data and insights to support any decision taken within the organisation seems to be a step too far for most companies. So how do you go from let’s create reports of what happened in the past to let’s take decisions only when we have modelled them
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