Insights & Blogs

An Introduction to Outliers

What are Outliers? Outliers are a very important aspect of Data Analysis. This has many applications in determining fraud and potential new trends in the market. In purely statistical sense, an outlier is an observation point that is distant from other observations....

Cappius at HYSEA Summit, Hyderabad

On March 23rd 2017, Cappius was selected to showcase its “Customer Insight” Platform at the HYSEA 2017 Summit in Hyderabad, India. It was quite an event, filled with great exhibition booths and presentations. Our team enjoyed the summit and solved many queries on data...

Can Machines Predict Sales?

In any CRM system, when an opportunity is first created, it is hard to estimate the probability of winning, based on the initial data and limited prospecting. The prediction accuracy improves as the deal progresses through various stages of the sales process. It is...

Rule based segmentation in e-commerce

There are many ways of segmenting e-commerce customers to target them with a suitable campaign to drive benefits. Each segmentation strategy is driven by a different goal. Few sample segmentation strategies are outlined below: Based on Order Status: Here we segment...

Reducing Shopping Cart Abandonment

Shopping cart abandonment is when shoppers visit a store and add items to their cart but leave without purchasing the products. This is a challenging aspect of running an e-commerce site online, a lot of prospective sales are lost due to this. Research indicates that...

Work Culture at Cappius

I am a member of Big Data Analytics group at Cappius India office. Workplace: We built our infrastructure that facilitates interaction between employees and improves team cohesion and communication – great for brainstorming and developing new ideas. Everyone is...

Big Data Analytics – The Big Picture

From Surya Putchala, Lead, Big Data Analytics @ Cappius I am happy to start writing these blogs. Enough ink (rather keystrokes) has been spent writing about Hadoop, NoSQL and various Big Data Technologies. However, most of the uses of Big Data cannot be realized...