Open AccessExhausting Agile Processing and Data Mining in Electronic Commerce
Author(s) -
Santosh Kumar Dwivedi,
Rajeev Tripathi
Publication year - 2019
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit19547
Subject(s) - agile software development , big data , purchasing , computer science , business value , data science , value (mathematics) , field (mathematics) , software , point (geometry) , marketing , business , data mining , software engineering , geometry , mathematics , machine learning , economics , pure mathematics , programming language , economic growth , human capital
Agile software developments are hotspots of software development field in foreign countries. Metrics and big data will boost today's marketing leaders toward success. While the notion of the metrics-driven CMO is well-understood, marketers still struggle with how to apply agile and big data to deliver big business value. To do so successfully, they must get bigger their point of view further than promotional activities and center movements around their customers and their purchasing processes. Data mining metrics like this would give us great insight into whether the change was successful; whether it led to hairline fracture how it has changed user behavior, and whether it is delivering net value to the business in terms of the A/B test. The bottom few in the list could be used to track and improve it over time, considering there is some benefit to the business in terms of capturing the new data.