Recent Trends in Data Warehousing, Business Intelligence, and Data Mining

Data Handling
And
Business Intelligence

Table of Contents
INTRODUCTION...........................................................................................................................3
MAIN BODY...................................................................................................................................3
CONCLUSION................................................................................................................................8
REFERENCES................................................................................................................................9

INTRODUCTION
Data warehousing is an integrated system comprising multiple simultaneous origins of
traditional and commutative data This streamlines the organisation's monitoring and review
process. This is also a single-specific version of reality for any business to make and predict
decisions. Data warehousing in companies is becoming very common in recent years (Babu,
2012). This Study focuses on different emerging recent trends in data warehousing, business
intelligence and data mining.
MAIN BODY
Business Intelligence: BI relates to systematic collections of different processes, procedures,
and high technologies which contributes in conversion of raw-data into substantive information
which offers profitable and effective business steps. This is a structured composition of different
software applications and services in order to transform meaningless data into quite significant
actionable intelligence and database.
Data mining: Data mining implies to a structured process utilized by organisations to convert
raw-data into significantly multi-purpose and meaningful information. By applying software to
seek for specific patterns in huge collection of information/data, business organizations can
acquire more comprehensive details about its customers group in order to frame a more effectual
merchandising schemes/strategies, value addition in sales and optimise business costs (Demirkan
and Delen, 2013).
Data warehousing: It is more wider concept which involves processes of building and accessing
data warehouse and related structures. A data-warehouse is developed by integration of distinct-
distinct hetero-genus origins that assist in analytical and technical reporting, organized and in ad-
hoc queries/issues as well as in decision making. At the end of year 1998, the scale of data
warehouse industry is estimated to be at least around $8 billion and more than 900 suppliers are
offering different types of data warehousing equipment(hardware), applications(software) and
other related services. Here are some key characteristics of data-warehousing, as discussed
below:
Characteristics of Data warehouse:
Subject-Oriented: A data warehouse is subject or topic-oriented as it provides information
about a topic rather than the continuing operations of organizations. Sales, promotion, delivery,