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Computer Applications and Systems - Workshop II
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BIS 220 Computer Applications and Systems WORKSHOP II, RAJI GOGULAPATI JULY 2014
Workshop I Review & Workshop II
Transforming Business Data to Useful Knowledge
Data Management Issues
Role of Databases
Data life cycle Applications
Data, Information & Knowledge – Summary
Benefits of collaboration tools
Glimpses Into e business & e commerce
Your activities for coming week
Topics
Knowledge, Feedback, Respondhttp://en.wikipedia.org/wiki/OODA_loop
Workshop I Review – Quiz
Transforming Data To Useful Knowledge
Data Management Issues
Role of Databases
Data life cycle Applications
Data, Information & Knowledge - Summary
Benefits of collaboration tools
Glimpses Into e business & ecommerce
Your activities for coming week
Topics
Applications Database
ETLData Warehouse
BI
Data products
Analytics
Standard Data Management Architecture
Data Products Recommender Systems (Amazon)
Data ProductsRecommender Systems (Amazon)
Recommender Systems (Amazon)
System Request/ Problem
StatementInput Output
Integration Evaluation
Data Products/ Recommender Systems
TimelinessROI
Usage Sharable
Enhancement
Value of Knowledge
Business Data Intelligence
Establish a culture of inquiry,
focus on inputs, outputs depending on situation
New w
ays t
o eng
age w
ith bu
sines
s par
tner
s
Convergence of new data with new tools
What to analyze? How to process data? How to obtain useful insights?
Think like a scientist in every function you doOvercome barriers to adoption addressing problems
FOCUS
“The processes, technologies, and tools needed to turn data into information, information into knowledge into plans that drive profitable business action. Business intelligence encompasses data warehousing, business analytic tools, and content/ knowledge management”
- Data Warehousing Institute
Business Intelligence
• Structured• Transaction data from ERP,
CRM Systems
Traditional sources of
data
• Text from social media, clickstream transactions, weblogs
• Sensor data (RFID), several unstructured sources
New sources of
data
BI Applications
Business Information
Customer
Productivity
Trends
Sales
Supply Chain
Activity
Tools
Mobile devices, in memory
systems
Improved user interfaces for
search
Cloud for storage and processing
Analytics software
Sophisticated pattern
recognition, optimization techniques
Visualization tools and
techniques
Handle large volume efficiently
User friendly to consumer and IT people
Be technically sound
Meet security standards
Affordable
Choices to rent with cloud
Criteria for selecting tools
Business Intelligence
environment
Transforming data to useful
knowledge
What did we learn so far?
What is next?
Database Applications
Role of databases
Workshop I Review & Workshop II
Transforming Business Data to Useful Knowledge
Data Management Issues
Role of Databases
Data life cycle Applications
Data, Information & Knowledge – Summary
Benefits of collaboration tools
Glimpses Into ebusiness & ecommerce
Your activities for coming week
Topics
Distribution
Heterogeneity
Standards
Setti
ng th
e Sta
ge
Information Architecture
Strategic applications
High potential
applications
Support Applications
Key Operational applications
John Ward
How does a DBMS help businesses improve their information content?
How do the various DB models help businesses access and use information?
Data quality, quantity, governance
Trends, tools and technologies that help databases more useful and accessible
A Data Base Management System is a software system designed to store, manage and facilitate access to databases.
Database is a very large integrated collection of data.
Reporting Logical views Database administration
Data integrity
Data availability
Application Support
Web Access
Device/
Mobile Access
Human Access?
What does a DBMS Do?
DBM
S Concurrency control, Recovery, D
BMS Simple,
efficient, ad hoc queries D
BMS Benefits of
good data modeling
Disadvantages of a File Processing system
Data Redundancy And Inconsistency
Difficulty In Accessing Data
Data Isolation
Integrity Problem
Security Problem
Atomicity Problem
Concurrent Access Anomalies
If Not Databases?
Dominant part of software industry
Several related industries
Relational products
dominant
• Oracle, Sybase, IBM, Microsoft
• Data warehouse, storage, backup, BI
• CRM, ERP, app integration
• Open source
Commercial Outlook
Data dictionary
Data admin
Access Services Database
admin
Integrity
Security
Elements of Information management
Data management vs Information management
Data in a database and otherwise
Data modeling and database modeling Analytical versus Transaction processing
Market overview
Take away points on the role of databases
Workshop I Review & Workshop II
Transforming Business Data to Useful Knowledge
Data Management Issues
Role of Databases
Data life cycle Applications
Data, Information & Knowledge – Summary
Benefits of collaboration tools
Glimpses Into e business & e commerce
Your activities for coming week
Topics
Results
Data visualization Decisions, Knowledge management
Data Analysis OLAP, Queries, Executive dashboard DSS, Data mining
Data sources Internal External Personal
Data life cycle applications
Strategy SCM, CRM, electronic
commerce
Document management
Data life cycle applications - Solutions
Workshop I Review & Workshop II
Transforming Business Data to Useful Knowledge
Data Management Issues
Role of Databases
Data life cycle Applications
Data, Information & Knowledge – Summary
Benefits of collaboration tools
Glimpses Into ebusiness & ecommerce
Your activities for coming week
Topics
Visible examples of collaboration on the web
Emerging better tools to work with….
Communication, Interaction • Free and easy• Several alternatives
to channels
No structure imposed • Natural emergence
of structure
New approaches
Collaboration at work
Themes on how tools were built and used
• Recommendation systems
Building Wikipedia
• Delicious tags
RSS
• How does structure emerge out of contributions?
Foster environments to
encourage openness
Ground rules with facilitators
Self organization takes time
Healthy community
building is not easy
What can organizations do
with web 2.0?
Permeate the entire
organization
Evolution of Social business
Impact of cloud services
• Engage, connect • Adapt towards
transparency
• Social customer • Social brand• Social business
•
Social Media and Organizations
What is web 2.0?
What is web 2.0?
What is web 2.0?
Workshop I Review & Workshop II
Transforming Business Data to Useful Knowledge
Data Management Issues
Role of Databases
Data life cycle Applications
Data, Information & Knowledge – Summary
Benefits of collaboration tools
Glimpses Into ebusiness & ecommerce
Your activities for coming week
Topics
E commerce vs E Business E COMMERCE
buying and selling products and services on the internet
E BUSINESS
indicates the broader spectrum of business activities that can be conducted over the internet
E-commerce is a way to conduct, manage and execute
business transactions using computer and
telecommunication networks.
Electronic funds
transfer
Electronic data
interchange
Electronic publishing
Electronic messaging
Collaborative work
Electronic commerce Frontiers
E commerce overview
Convergence of previously disparate functions
Scope Changes
Attributes
Drivers
E commerce business models Portals
B2B (exchange, hub, spoke)
B2C
C2C
C2B
Value Chains
Intranet at work place
Houstonstreet.com
Amazon.com, petsmart.com
eBay.com
Priceline.com
E commerce business models (contd)
Brokerage model
Infomediary model
Direct (manufacturing) model
Community model
Utility model
Advertising model
Merchant model
Affiliate model
Subscription model
How does internet change the dynamics of markets?
What are the effects of ecommerce and competitive
implications on pricing?
How would offline and online balance the needs of the
digital consumer?
Questions? More questions?
Work on the team assignments – proposal and summary
Prepare and submit individual assignment as per syllabus.
Read:
Selected Readings specified in Materials page,Refer to your syllabus for details on activities during the workshop
Your activities for the coming week
The chapters recommended from the electronic texts in Materials were used.
Source for slides on Information Architecture and Information Management are from Principles of Information Systems Management by John Ward
Source Material used in Workshop II