This is a small note on small data. I hope it has a big impact. The common understanding of the world is that one should use predictive and prescriptive data on big data. A vast amount of data, classified and grouped, running analytics to predict what will be the next event that one or more elements of the group will take. Predictive analytics like this allows pushing of right products to e-commerce shoppers. I am sure you all have experienced this on the large e-commerce site and enjoyed it.
What did we do about planning and forecasting in the past? Well, a lot of what we did was based on guesswork. We might look at historical data and plan for growth that was unrealistic because it did not reflect the competitive market growth or the advent of online competition.
To be successful in business, every organization must find a way to accurately forecast and predict the future of its market, and its internal operations, and better understand the buying behavior of its customers and prospects. With the democratization of business intelligence and the advent of self-serve business intelligence tools, organizations hope to encourage and create Citizen Data Scientists and enable the average business user to leverage sophisticated predictive algorithms and BI tools without the expertise and skill of a trained data scientist. This approach allows users who are not statisticians, data scientists, programmers or analysts to leverage self-service tools to confidently make business decisions, share data, and reports and present data in a way that allows the organization to identify trends, patterns, opportunities and challenges.
It seems that everyone today is talking about Citizen Data Scientists. For some organizations the concept is perhaps frightening. The term may conjure up images of novices trying to do the work of someone with years of training and failing miserably in the process. For others, the image may be of an organization run amuck with business users leveraging sophisticated advanced analytics tools to create and share data that may be misinterpreted or distributed improperly.
If you are living in India, and since you are reading this and it is very likely you are, the possibility you said: so what? You have worked in multinationals operating in India, Indian multinationals, Nationalised corporations or corporations which are the property of the nation and never, never have you found Analytics हर हाथ में.
If your organization is implementing self-serve business intelligence, it is important to balance sophisticated tools with the skills of the average business user. While algorithms and advanced data analysis are a great benefit, if business users find these tools daunting, they won’t adopt them, and you won’t improve productivity, or timeliness or accuracy of decision-making.
ElegantJ BI is pleased to be a Silver Sponsor at the Gartner Data & Analytics Summit, which will be held on June 6 and 7, 2017 in Mumbai, India. The theme of the conference is ‘Lead in the Age of Infinite Possibilities’.
