Business Intelligence x

separatesnottyΛογισμικό & κατασκευή λογ/κού

25 Νοε 2013 (πριν από 3 χρόνια και 8 μήνες)

81 εμφανίσεις

TRACY BOWER

JENNI FER PUTT

COREY BAKER



Business Intelligence


What
is Business Intelligence ?


Business
Intelligence abbreviated
as(BI)
is
computer
-
based
techniques used in
identifying
,

extracting,

and analyzing
internal business
data. BI is a tool that allows better
decision
-
making by upper management. Because of this it
is also sometimes called a Decision Support System or DSS.


The importance of BI


Allows organizations to get a more accurate and detailed picture of what is
going on in terms of business and customers.


Brings
visibility into the organization at granular
levels


It allows
organizations to review customer
behavior

Social Business Intelligence


Social
BI
combines social media and analytics to give you important
business
insights.


It
is a convergence of several
trends


Social
BI is bringing a collaborative experience into your BI
environment

Facebook and Twitter


An inexpensive way to communicate directly with your
customer base.


Analyze quickly the impact of coupons or promotions.


Quickly see indicators of changing customer trends


Advertising that is directed specifically to your customer based

How can Facebook and Twitter help with BI ?

Mobile Business Intelligence


BI has expanded to mobile devices


Applications (apps) on mobile devices help to gather data


Know your customer base by who uses your apps


Offers to keep your current customers

Cloud Business Intelligence


IBM
Cognos


Birst


Indicee


GoodData


SAP BI
OnDemand


Top 5 Business Intelligence Solutions in Cloud

Big Data Business Intelligence

Big Data is a collection of data sets so large and complex that it becomes
difficult to process using on
-
hand database management tools or traditional
data processing applications.

Best in Class BI Metrics


Align With
Strategy


Drive
Value


Ensure
Accountability


Can Be Easily
Executed


Maintain Quality and
Consistency


Manage Interdependencies


Selecting the Right BI Tool


Know Your Business


Check Your Solution Expectations


Change Your Vendors Wisely

Keys to Successful BI Implementation


Verify Pressure For Change


Quantify Stakeholder Objectives


Dedicate Resources


Determine The Most Salient Metrics


Identify Data Sources


Select Your Tools


Clean Your Data


Pursue a Phased Approach


Measure and Refine


Business Intelligence Infrastructure

Business organizations can gain a competitive advantage with a well
-
designed business intelligence (BI) infrastructure. Think of the BI
infrastructure as a set of layers that begin with the operational systems
information and meta data and end in delivery of business intelligence to
various business user communities.


Business Benefits


This business intelligence infrastructure enables the organization to
unlock the information


from the legacy systems



to integrate data across the enterprise


empower business users to become information self
-

sufficient.



See data in new ways empowers knowledge worker to make faster
and better decisions.


Decisions which increase revenue by identifying and creating up
-
sell
and cross
-
sell opportunities


Improve productivity with better decision making and faster
response
-
to
-
market changes or other business events.


Business Benefits

Data Integration


The
data integration layer is required to extract, cleanse and
transform data into load files for the information warehouse.
This
layer begins with
transaction
-
level operational data and meta data
about these operational systems.



The product of a good data staging layer is high
-
quality data, a
reusable infrastructure and meta data supporting both business and
technical users.



Building an efficient data integration process is a key component to
delivering powerful business intelligence solutions.

Data Integration


The
purpose of operational systems is to support the day
-
to
-
day
business processes instead of supporting long
-
term strategic
decision
-
making which is the purpose of business intelligence. Data
content for operational systems is current and has real
-
time values as
opposed to historical data that is accurate as of a point in time for
business
intelligence.



Operational
data is highly structured and repetitive, whereas
business intelligence is highly unstructured, heuristic or analytical.
Operation support requires information within seconds, yet business
intelligence response time requirements range from seconds to
minutes
.


Information Warehouse


The information warehouse layer consists of relational and/or OLAP cube
services that allow business users to gain insight into their areas of
responsibility in the organization.



The
information warehouse is usually developed incrementally over time
and is architected to include key business variables and business metrics in a
structure that meets all business analysis questions required by the business
groups.



Key
areas to consider in defining requirements relate to the major functional
areas of the organization. There are a few key categories of business
intelligence that should be considered:


Customer Intelligence


Operational Intelligence


C
lickstream Intelligence


Customer Intelligence

Customer Intelligence

relates to customer, service,
sales and marketing information viewed along time
periods, location/geography, product and customer
variables. Business decisions that can be supported with
customer intelligence range from pricing, forecasting,
promotion strategy, competitive analysis to up
-
sell
strategy and customer service resource allocation.


Operational Intelligence

Operational Intelligence

relates to finance,
operations, manufacturing, distribution, logistics and
human resource information viewed along time periods,
location/geography, product, project, supplier, carrier
and employee. Business decisions that can be supported
with operational intelligence include budgeting,
investment, pricing, hiring, training, promotion, cost
control, scheduling, service levels, defect prevention and
capacity planning.

Clickstream Intelligence & Web Portals


Clickstream Intelligence

relates to Web sessions,
sales and service information viewed along time periods,
products, customer, Web pages and request type.



Web Portals
. Presenting business intelligence on the
Web through a portal is gaining considerable momentum.
Web
-
based portals are becoming commonplace as a
single personalized point of access for key business
information.

Organizational Requirements


Core Implementation
and
Support team:


BI architect


ETL developer


BI
analyst


Database administrator


Business
content
managers

Business Intelligence Tools

Business Intelligence Tools


Many organizations today use a collection of Business Intelligence
(BI) tools and applications to allow experts to gather information
from a variety of sources, analyze it, and share it with managers and
staff.


Enterprise Business Intelligence requires not just a comprehensive
BI tool set, but pervasive BI that provides insight to all employees
within the context of their workflows. It needs to unify the many
fragmented systems into a coherent enterprise view, while aligning
forward
-
looking information to real time and historical data.


It must be integrated ensuring accuracy and integrity of information
across all delivery channels and resulting in lower cost of ownership.


It needs to be fully secure to protect all enterprises information
assets

Oracle Business Intelligence (BI) Foundation
Suite


Oracle Business Intelligence (BI) Foundation Suite delivers the most
complete, open, and integrated business intelligence tools and
technologies on the market
today.



Key Features


Provides comprehensive and complete capabilities for business
intelligence


Enterprise reporting


Dashboards


Ad hoc analysis


Multi
-
dimensional OLAP


Scorecards


Predictive analytics on an integrated platform


Oracle Business Intelligence (BI) Foundation
Suite


Business Benefits


Supporting both Oracle and non
-
Oracle data sources ranging from file
-
based data, to all
popular relational database management systems, and to leading multi
-
dimensional sources;


Supporting prevalent middleware solutions including application servers and security systems


Providing open
-
APIs for integration with a range of enterprise systems


A strong and flexible security model ensures that information is accessed and delivered by those
with the appropriate privileges.


SAP BusinessObjects Business Intelligence
Platform


The SAP® BusinessObjects™
Business Intelligence
(BI) platform is a
flexible and
scalable information
infrastructure designed
to help you more easily
discover and
share insights for
better business
decisions
.


Key Features


Information
design


Use
graphical design
tools to create the rich
semantic layer
(universe)


Information
access


Use the
BI launch
pad to provide access to
BI content
,
widgets to deliver BI to
a desktop
, and BI workspace to
assemble frequently
used
content


Publishing


Distribute
personalized BI
content to a mass audience


Lifecycle
management


Manage
BI content
across development,
testing, and
production lifecycle


Platform
administration


Manage, configure
, and audit a BI
deployment from
a
central
console


Portal
integration


Integrate
content with
Java
-
based and Microsoft
Share
-
Point
portals


Integration
with applications

Extend
content to other
applications with
software
developments
kits

SAP BusinessObjects Business Intelligence
Platform










Business Benefits


Better
-
informed participants making better decisions with simpler, personalized access to information


Faster deployment and optimized use of IT infrastructure and resources with one unified BI
infrastructure


Tighter integration with your existing IT infrastructure


Reduced IT workload with simplified maintenance and administration options


Better use of IT resources by enabling business users with self
-
service


IBM Cognos Business Intelligence


IBM® Cognos® Business Intelligence
is an integrated business intelligence suite that
provides a wide range of functionality to help you understand your organization's data. The
features and capabilities of IBM® Cognos® Business Intelligence help everyone in your
organization freely explore data, analyze key facts, quickly collaborate to gain alignment with
key stakeholders and act with confidence to make smarter decisions with better results.




Key Features


Reports


Analysis


Scorecards


Dashboards


Real
-
time monitoring

Less Conventional BI Methods

A low cost software
solution

An up
-
and
-
coming
Cloud Based Business
Intelligence as a Service
Platform

A low cost iSCSI NAS
device with ‘’beyond
RAID’’ technology

Dashboard Example

Syndicated Data


What is it?



Where does it come from?



How is it useful to a business?

Types of Syndicated Data


Geographic Data



--
to segment customers by area/location



Demographic Data



--
to segment customers by age/sex/etc.



Psychographic Data



--
to segment customers by


interests/attitudes/opinions

Syndicated Data and Standardized Services


These are NOT the same thing!



All competitors vs. 1 particular user



Obtaining this Information


Privacy Laws



--
Not one universally accepted approach


Countries have their own idea as to how

personal information is to be obtained (if

allowed) and then to what extent it can be

used thereafter.

Brazil
-

personal information protected by constitution


Canada
-

personal information governed by Privacy Act


China
-

personal information protected by the


Computer Processed Personal Information


Protection Act of 1995


Greece
-

personal information (even just taking pictures of


someone) requires consent from that person



Ethics in Business

RIGHT

WRONG

LEGAL

Ok

Questionable

ILLEGAL

Not

Ok

Never

OK

They have your information,

now it is very important for

them to have security

measures in place to keep

your information secure.


Security Tokens

Social Engineering


Who are the attackers?



How did they get your information?



What did you really agree to in those
“terms and agreements”?



Company Liability


According to an article in the St. Louis Business
Journal that cites a study done by Cisco, by the year
2016, almost two
-
thirds of all data center info will be
on the cloud.



More data offsite=larger potential for data breach.



According to a study by
SecurityCoverage
, data
breaches are up 67% since the year 2010.

Data Security Regulations


Federal Laws


--
Gramm
-
Leach
-
Bliley Act



--
Health Insurance Portability and Accountability



State Laws
-

small businesses



Contracts
-
credit and debit cards with PCI



The Cloud


Storing data off
-
site…is it safe?


--
what laws are supposed to be followed


--
encryption before being encrypted



--
loss of data in the event of failure/disaster