MIS systems

1. Final Project
anagement
nformation
ystem
M
I
S
Abd El-Rahman Mohamed
Nancy Nader
Nihal Taher
Samar Hussein

2. Failure stories
1
2
3

3. Why systems
fail?
1- POOR
DEVELOPMENT
PRACTICES
2-INCORRECT
ASSUMPTIONS WITH
REGARD TO SYSTEM
REQUIREMENTS
3-POOR USER
INTERFACE
4 FAULTY
HARDWARE
5-INADEQUATE USER
TRAINING
6- POOR FIT
BETWEEN SYSTEMS
AND ORGANISATION

4. outsourcing information
systems
VS
in-housing development

5. Outsourcing
+
1-short term
2-longer-term
-
1-need to find an
affordable and high
quality service
2-good service providers
tend to be very busy
3-High one-off costs,
higher rates for site
maintenance

6. In-House
+
1-More effective evolvement
of the site over time.
2-Internal acceptance
3-cheaper
4-Better team-building
opportunities within the
organization
-
1-Hard to keep up with latest
innovations
2-Danger to become
institutionalized
3-Not the same breadth of
knowledge

7. Systems
E-CRM
E-SCM KM
ERP

8. E-CRM(ZOHO) Initiate Marketing
Process Sales
Schedule OrdersProvide Support

11. Systems
E-CRM
E-SCM KM
ERP

12. E-SCM(IBM)
1-Offer a complete view
2-manage your inventory
3-Provide access to a logistics network
4-Optimize your strategic supply chain planning
decisions for the fulfilment of orders, shipments

13. Watch
This
Video

14. Systems
E-CRM
E-SCM KM
ERP

15. KM (Oracle)
1-analyzed for impact analysis.
2-can't be executed standalone. They
require metadata from interfaces, data
stores and models.

17. what is the IT infrastructure (networking in this
case) needed for E-CRM.....
e-CRM communication infrastructure should contain:
· Chat/browser control
· Voice-over IP
· Multilanguage support
· Messaging and workflow applications
· Web measurement tools
· E-mail inbound/outbound support

18. Data Mining
Finds hidden patterns
relationships
in large
databases
infers rules to predict
future behavior

19. E-CRM Data mining
•first activity represents a quantitative process by which
companies gather specific data on customers
•The second activity allows a company to alter business
operations based on the data.
•The most common description for data mining includes the
collection of any data using electronic means
•These software packages might be separate or combined
options. Outsourcing this business process might also be an
option for data mining.

20. Data Mining
1-help you target your best customers.
2-develop detailed customer profiles
3-find and prevent fraud

21. ID

22. Steps
that
SAP
take
to build a system?

23. SAP ERP

24. SAP E-CRM
Turn Your Marketing Vision
into Reality
Make Every Customer
Conversation Count
Run a World-Class
Service Organization

26. SAP E-SCM
Watch
This
Video

27. Mercedes had a different system as it’s implementing core ERP, there
wasn’t industry flavour as the customers are loyal. As being good
consultants, we used to sit down and discuss how we can play with
ERP and make it cover the needs of industry. The main challenge was
to configure the system to cover the industrial needs that doesn’t
cope with the system by 100%.
SAP is very powerful and flexible, if you know how to use it well you
can do anything