Data are the information we use as the basis for reasoning, analysis, and debate data would be highly valued and demanded and used ethically and effectively. But data travel a long journey, gaining value as they go, before they achieve their highest purpose. The data value chain provides a framework through which to visualize the life cycle of data, from defining a need to using them for impact.

The value of data as a strategic asset and powerful source of economic value is clear. The commercial success of data-driven businesses attests to the impact they are having around the world.

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For a company consider data as a strategic asset and build their business model which did not at the outset think of data as a strategic asset, the challenge lies in implementing change management gradually and efficiently, adjusting to past momentum, whilst remaining fully operational.

while monetization of data is a relatively straightforward way to demonstrate value, determining which data assets can be monetized, and how, is not an easy task.

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machine learning techniques to identify the likelihood of future outcomes based on historical data. The goal is to go beyond knowing what has happened to providing a best assessment of what will happen in the future. Targeting the right customers at the right moment with the best offer links back to customer segmentation. Comparison shopping through digitisation, mobile shopping and price comparison portals has now developed into the norm.

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Now a days everyone had a crush about to express them activities in social media . All the status updates, pictures, and videos posted by people on their social media contains information information about their demographics, their likes, their dislikes, etc. By analysing the demographic of their reach on multiple social media platforms, they can identify the most effective platform, time, and format for their advertisements.

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