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Tag Archives: analytics

Part 2 – What-If analysis usecases – Pricing

In part 1 of the series, we covered some of the key aspects of What-If analysis when applied to financial analysis. Pricing is an equally important use case, as probably nothing matters more to the profitability of a business than the price it is selling the products or services at. There are plenty of market forces at play (external factors) as well as the many internal factors that impact the cost to produce the product or service. So, it is easy to see why this as an extension to

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Use cases for What-If scenario modelling

What-If scenario analysis is a very powerful framework for taking decisions. It is a general misconception that it mainly caters to macro-economic scenario modelling. While that is certainly one of the use cases, there are some interesting examples from a micro economic perspective too. In this 5-part series, we plan to cover some of the most common use cases of the same. Financial analysis Pricing Logistics planning Evidence for business proposals Customer modelling Applications in the Blockchain and Smart Contracts space We would like to start

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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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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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