In every business, it is very important to know whether your users or customers are liking your services and products. The customer Lifetime Value model helps businesses to track down how good they are resonating with their consumers. Although, calculating Customer Lifetime Value doesn’t need high-level arithmetic knowledge it needs a sharp calculation of any […]
Customer lifetime value for subscription based business Read More »
Talking about Big Data sometimes take us to a very steady process of data analysis, Real-Time/Streaming Data Analytics. Companies who are looking for better aspects for their business and customers’ activities such as billing/metering, server activity, website clicks and so on, are into Real-Time Streaming Data Analytics. What allows any business to react without getting delayed to
Introduction to real – time/streaming data analytics Read More »
Each user is creating more than 5MB of data per second. Big data is increasing statistically with these moving years. Data Scientists are predicting an uncountable excessive data in the future of Big data. We have already created an immoderate amount of data in past years and there is no slowdown in upcoming years. In
Future of big data Read More »
Can you imagine a place where nothing is organised or stored in a distributive way? Ever wondered that what if every stuff from the kitchen, bathroom, bedroom, dining room and drawing room stored in a place haphazardly. Isn’t it making things more complicated and uneasy? Same theory goes with big data application, Hadoop. Hadoop also needs
Hadoop distribution file system – hdfs Read More »
By the end of 2020, 70% of the industries going to rely on a Hadoop cluster for running more than 1000 nodes. All are running around 80% of unstructured data on 20% of structured data. If we take social media as an example, Twitter produces around 7TB data per day, where Facebook produces around 500TB data
Introduction to hadoop – architecture, properties, components and projects Read More »
In the movie Matrix reloaded, The Architect of Matrix explains to ‘neo’ what he is. “ You are the eventuality of an anomaly, which despite my sincerest efforts I have been unable to eliminate from what is otherwise a harmony of mathematical precision. While it remains a burden to sedulously avoid it, it is not unexpected,
Time Series Anomaly Detection: Techniques and Algorithms Read More »
When you are a sizable CPG company with several distinct product lines. The items of your company are offered by a variety of merchants who target various customer groups with various viewpoints. By adapting to the changing needs of your customers and managing your supply chain operations to get your product onto the shelf just
Revolutionizing CPG Revenue Growth: A Guide to Trade Promotion Optimization Read More »