Seminar 2 Part 1

esophagusbunnyManagement

Nov 20, 2013 (4 years and 1 month ago)

109 views




Seminar 2


Part 1




Managing Data to Improve Business
Performance



Ref:
Chapter 3 of Turban and
Volonino





Learning Objectives

1.
Describe how data and document
management impact profits and performance.

2.
Understand how managers are supported or
constrained by data quality.

3.
Discuss the functions of databases and
database management systems.

4.
Understand how logical views of data provide
a customized support and improve data
security.

5.
Describe the tactical and strategic benefits of
data warehouses, data marts, and data centers.



Learning Objectives cont’d

6. Describe transaction and analytic processing
systems.

7.
Explain how enterprise content management
and electronic records management reduce
cost, support business operations, and help
companies meet their regulatory and legal
requirements.

Applebee’s International Learns &
Earns

Problem: Huge quantities of data in many

Databases.

Solution: Enterprise data warehouse
implemented.

Results: Improved profitability.

Applebee’s enterprise data warehouse
and feedback loop.

Data, Master Data, and Document
Management



Data management is crucial for
productivity of managers and employees


Data


Organisations key asset


Data decisions


high quality data


High Quality Data


how data is
managed

Data life cycle


Data Management


a structured
approach to managing data.


Principles of Diminishing Value,


90/90 Rule, and


Principles of data in context.


Analyzing Any Business

Business analytics

Data Visualization

Dow Jones industrial average (DJIA) for a single day in
tabular display and graphical display.

MDM


Master Data Management

Master Data Management (MDM)



integrating to provide a more unified
view of data


Operational versus Analytical Master Data
Management

Demystifying Master Data Management

Data management's top eight stories of 2008


Human resources data analytics brings
metrics to workforce management


Would You Like Fries With That? And Does Cross
-
Selling Justify Master Data Management?


Master Data Entities


Main entities of company


Customers


Suppliers


Employees


Different Master Data needs

Model of an enterprise data
warehouse.

Data Quality


Data’s usefulness


Quality of the decision based on the data


Accuracy


Accessibility


Relevance vs. Reliability


Timeliness


Completeness

Data Quality Example


Document Management


Effective business continuity planning requires the
timely restoration of critical functions after a
disruption to normal business operations.


This would include developing plans for recovery
of essential IT infrastructure, critical applications,
and time sensitive business processes.


In the aftermath of emergency situations,
however, it is all too common to find that
organizations fail to plan adequately to protect
and replicate paper records, as necessary to
mitigate risk and continue operations.

Document Management


Implementation

of

any

record

management

and/or

paper

digitization

solution

is

a

significant

undertaking

and

must

be

approached

with

a

detailed

plan

of

action

and

significant

buy
-
in

and

approval

from

all

stakeholders
.

Implementation

breaks

down

into

4

distinct

phases
:


Identifying objectives


Identifying products that meet those
objectives


Implementing a system


Digitization of records


File Management Systems
-


Example of primary and foreign keys.

Hierarchy of data for a computer
-
based file.

A file Management Approach


Computer
-
based files of this type cause problems such as redundancy,

inconsistency, and data isolation.

Database and Database
Management Systems

DBMS Data Access


An integrated
Approach


Database management system provides access to all data in the
database.


Data Warehouse, Marts and Centers
-


Data warehouse framework and views.


Content Management


Electronic records management from creation to retention
or destruction.

ERM Vendors


check these out!

ACCUTRAC®
SOFTWARE

Managerial Issues


Reducing uncertainty.


Cost
-
benefit issues & justification.


Where to store data physically.


Legal issues.


Internal or external collection, storage,
maintenance, & purging of databases of
information.


Disaster recovery.


Data security & ethics.


Privacy.


Legacy systems.


Data delivery.