Business Intelligence and Data Warehousing

BUSINESS
INTELLIGENCE AND
DATA WAREHOUSING

INTRODUCTION
 Business intelligence analytics is a process to extract,
transform, manage as well as analyse the business data to
support the decision making processes (Llave, Hustad &
Olsen , 2018).
 Data mining technique is a process to analyse larger database
such as data warehouse and internet, used to discover new
information along with hidden patterns (Akter et al., 2016).

BUSINESS INTELLIGENCE ANALYTICS AND DATA
MINING TECHNIQUE FOR BANKING INDUSTRY
 Implementation in chose industry is customer relationship
management (CRM), analysis of credit card, customer
segmentation
 CRM helps the industry to build a strong relationships with
the customers so that it leads to increase in revenues as
well as profits (Dincer et al., 2016).
 It is used to model the risks from various loan applications
without required to have lot of resources (Jain & Bhatnagar,
2016).

BUSINESS INTELLIGENCE ANALYTICS AND
DATA MINING TECHNIQUE FOR
HEALTHCARE INDUSTRY
 The healthcare data management is a process to analyse data
collected from various sources
 Data analytics will help the healthcare industry to treat the
patients properly and secure the patient’s data, enhance the
healthcare related outcomes as well as offer personalized
treatments to the patients (Wang, Kung, & Byrd, 2018).
 Predictive analytics is ensured that the healthcare information
is reached right people at right time period.