• Sejal Rana
• Simran Kaur

The field of "business analytics" has enhanced significantly over the past years, providing business users more reliable insights, particularly from "operational data" stored in "transactional systems". In this paper, we present the "technology" and "enterprise-adoption" trends associated with "business analytics". The principal user is the business user, whose work, possibly in "merchandising", "marketing", or "sales", is not directly related to "analytics" per se, but who typically uses "analytical" tools to enhance the outcomes of some business process along 1 or more dimensions (such as "profit" and "time to market"). Luckily, "data mining", "analytic applications", and "business intelligence" methods are now better combined with transactional systems than they once were, creating a closed-loop between "operations" and "analysis" that permits data to be "analyzed" and the outcomes shown instantly in "business" actions. Mined learning today is deployed to a more widespread business patrons taking advantage of "business analytics" in its everyday activities. Analytics are forthwith routinely used in "sales", "marketing", "supply chain optimization", and "fraud detection"

business analytics, business intelligence, data analytics, data mining

"Business Intelligence – juggernaut In an Organisation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 7, page no.1161-1165, July-2020, Available :http://www.jetir.org/papers/JETIR2007144.pdf

"Business Intelligence – juggernaut In an Organisation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp1161-1165, July-2020, Available at : http://www.jetir.org/papers/JETIR2007144.pdf