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Nowaday's buzzword: Business Intelligence

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by

Anqa Akram

on 9 September 2015

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Transcript of Nowaday's buzzword: Business Intelligence

Another Dimension
Monitoring Change
Identify less purchased/lagging products
Finding the reason behind the falling numbers
Quality Control
Defining the goals
React and Cause
React:
economic and market conditions
competitors pricing, features or products etc.
Cause:
Changing customers buying habit and behaviours
Influencing the market with new features and pricing
Imagine
1st Aspect
Reporting
Data Mining, Data Warehouses and Data Marts
Data Warehouses:
A system for storing and delivering massive quantities of data.

Data Marts:
The sub divisions of Data Warehouses related to a certain department of the company

Data Mining/Big Data/Predictive Analytics:
software that searches through data
uses complex statistical calculations
outputs:
Trends
Patterns
Correlations
Exceptions
CONCLUSION
large umbrella term
Best companies root for efficient reporting methods for a greater success(ROI)
It's not just a trend, or an advancement, its a great web of helpers
its work speaks volumes
Nowadays' buzzword: Business Intelligence
THANK YOU!
by Anqa Akram
Manager's Dealings
Raw data
Formatted information
What is Business Intelligence(BI) ?
1st definition
: The techniques, soft wares and methods employed to support decision making in business.
or
Going from raw data to legible information in order to facilitate business decisions.
2nd Definiton
: Right Information, at the right time in the right hands in order to understand data quickly.
Reading, processing(filters,sorts,groups and performs calculations) and summarizing data.
Operational Reporting
:
A structured template for the users to display their particular details, consuming activities, e.g, different bills, ATM receipt.
Ad hoc Reporting:
Easy report making by users
No training required
drilling in to data any time
Empowering the consumers
OLAP(Online Analytical Processing)
Pre-Calculated and pre-structured data set
Multidimensional access of data
Decision Supporter
functions: 1-Roll-up(Aggregate) 2-Drilling 3-Slicing etc.

Dashboards
High Level or aggregate view of an organization
Preferred for the executives
function of drilling in.
Often a composition of the previous reporting methodologies
ETL stands for Extract, transform and load
Architecture of Business Intelligence on the basis of Data Management
Data Mining determines relationships amongst "internal" factors :
price
product positioning
staff skills
"external" factors:
economic indicators
competition
customer demographics
e.g.
With data mining, a retailer could use point-of-sale records of customer purchases to send targeted promotions based on an individual's purchase history. By mining demographic data from comment or warranty cards, the retailer could develop products and promotions to appeal to specific customer segments.
BI needs by position
BI Needs on the basis level of detail
low aggregate
Higher Aggregate
Typical BI implementation
Data Entry Systems:
Customer Relation Management (CRM)
Ticketing System
Defect tracking system
Order Entry
Website registration/Shopping carts
Data Warehouses
Enterprise Reporting
Training on how to use reporting system
Remember
Getting
the data
in the
right people
's hand at the
right time
in a
format
that allows them to
understand the data quickly
helping
in
where
to make the
right changes
helping
in giving them
confidence
in
their
decisions
helping
them
understand
which
changes
have the
most

ROI(Return on investment)
and the
least ROI
Full transcript