As Analytics becoming more and more pervasive – acting as the sounding board for almost every strategic and operational decision – it is imperative that… Read More »Creating Analytics Tool For A Business User
NLQ or Natural Language Query or Text-to-SQL or NL2SQL is an arm of computational linguistics, that helps users to fetch required data, visualizations, and insights,… Read More »NLQ: Why You Might Not Need To Call A Data Analyst Anymore
With more and more people getting conversant in analytics, its demand in every field becoming more pronounced. Product is no different. It is almost inevitable… Read More »Introducing Analytics To A Product
Profit analysis is an integral part of analysis drills, which are conducted at regular frequency. Both finance and marketing departments are equally engaged in this… Read More »The other key slide of your quarterly analysis
We must have read tons of literature on developing analytics models and finding information/insights out of data blob. Majorly this activity can run stand alone… Read More »Data scientists, you can’t not-know APIs & Dockers
Even though processing and storage have become cheap and enterprises are adopting high performance analytics infrastructure, still in majority of cases the analytics study is… Read More »Break That Data
As per Wikipedia, Price Elasticity of Demand (PED or ED or PE) is a measure used in economics to show the responsiveness, or change, of… Read More »Calculating Price Elasticity Through KNIME
Optimized Promotion Placement The promotions page on any website during an offer period, may it be Thanksgiving, Cyber Monday or even Ester has tons of… Read More »Optimized Deal Placement
Product comparison is one of the crucial aspects of competitive intelligence (CI). There are two modes of product comparison: Comparison of own product price across… Read More »Leveraging Fuzzy String Matching In Competitive Intelligence
As an analyst, our first reaction when we get the data to analyse is to ask an ETA. Then we plan to attack the data… Read More »5 Questions To Ask When You Get A Data Dump To Analyse
