Predictive Analytics on Small Data

Predictive Analytics on Small Data
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.
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Predictive Analysis is Easy for Every User

Predictive Analytics Software for Every Business User
Plug Your Users In For Crucial Decisions with Plug n' Play Predictive Analytics! 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.
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Do Citizen Data Scientists Mark the Death of Data Scientists?

Do Citizen Data Scientists Mark the Death of Data Scientists?
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.
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Citizen Data Scientists? Yay or Nay?

Citizen Data Scientists? Yay or Nay?
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.
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Democratise Analytics, Reach All cost effectively

Analytics हर हाथ में, जवाब सब के पास में!
Analytics हर हाथ में, जवाब सब के पास में! 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.
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Whose job is it anyway?

Whose job is it anyway?
There was an accountant; he used to know which entry goes on the debit side and which on the credit side. If that is all he knew, his job has since long disappeared.
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Citizen Data Scientists Benefit the Biz

Smarten Self Serve BI Creates Citizen Data Scientists
If you are interested in, or work in, technology, you are familiar with Gartner and its analysis and predictions for the world-wide technology landscape. One of the key predictions Gartner has made in the past few years is the advent and growth of data democracy and the increasing importance of Citizen Data Scientists.
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Clickless Analytics

Clickless Analytics
One of the things which cause distress in a lot of activities is the click. We have to point and click. You can use your mouse, or finger or your nose if the hands are busy, but you have to click. Point and click was a solution invented for a purpose which we have extended to all areas of life. Since we work in the world of data science and analytics, I will restrict my discussion to this, though I have a plenty of opinion in the other areas.
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Predictive Analysis Software & Self Serve Data Prep

Soar with Self-Serve Data Prep & Predictive Analysis ToolsIf 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. ###Details >
 

Gartner Data & Analytics Summit, Mumbai, India June 6-7: ElegantJ BI is Silver Sponsor

Gartner Data & Analytics Summit, Mumbai, India June 6-7: ElegantJ BI is Silver SponsorElegantJ 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’.

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