Factspan is a global Data and AI consulting firm that empowers enterprises to transform complex data into actionable insights, offering services in generative AI, machine learning, cloud engineering, and data governance.
Marketing plays a vital role to grow any business or organization. In our last article, we learned about how Media Marketing Analytics could be beneficial for any organization and how we can make strategies to outperform our marketing platforms. Strategies can help us to attain a specific goal but what after that? How do we […]
How to achieve marketing goals with consumer segmentation Read More »
In the previous article, Data Migration: RDBMS to Hadoop, we talked about increasing tons of data and transferring it to Hadoop from the Traditional platform. But, is it easy to analyse this much of growing data in Hadoop System? This takes us towards a more fascinating and flexible solution, i.e. Cloud Migration. In the process of
Cloud migration: RDBMS to cloud Read More »
Retailers today have to be on their toes to bring in new features and programs into their offline and online channels to improve customer experience. To bring in any new feature into their ecosystem, retailers have to perform rigorous experimentation to decide what is best for the business. These experiments are often analyzed by using
Bayesian A/B Testing Read More »
Market research provides market size, trend, competition and demands of customers before any company takes any of their product or service in the market. The importance of customer’s choices is for the evidence-based decision. Quantitative research becomes an important part of any business to take products or services according to the customer level. MaxDiff Analysis,
Maximum difference analysis Read More »
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 »
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 »