Data Handling and Decision Making

Data Handling and
Decision Making

TABLE OF CONTENTS
INTRODUCTION...........................................................................................................................1
TASK 1............................................................................................................................................1
Statement of current financial and non financial data used by organisation in decision making.
.....................................................................................................................................................1
Analysing data integrity and identifying gaps ...........................................................................1
Map between business functions and the data sources...............................................................1
TASK 2............................................................................................................................................2
Description of data flows between stakeholders and its organisation for making tactical,
strategic and operational decision making..................................................................................2
Approach for improving data integrity. .....................................................................................2
Data protection and ethical assurance requirements...................................................................3
TASK 3............................................................................................................................................4
TASK 4............................................................................................................................................4
TASK 5............................................................................................................................................4
TASK 6............................................................................................................................................4
TASK 7............................................................................................................................................4
CONCLUSION................................................................................................................................4
REFERENCES................................................................................................................................5

INTRODUCTION
Data handling is considered to be an effective process which helps in ensuring that the
data researched is effectively stored and secured in an effective and efficient manner. Data
handling is considered to be very effective process because it helps in managing the data in a
systematic manner which in turn leads to higher operational growth and helps in strategic
decision making. The data can be effectively handled through electronic as well as non-
electronic means. Data handling is considered to be as an effective process because it helps in the
process of data gathering, recording, monitoring, interpreting and presenting the particular set of
data which in turn helps in making strategic decision making for higher growth of business. This
report is useful in analysing the various methods associated with auditing data holdings, data
mining and manipulation, importance of data handling, data analysis and mining in order to the
strategic decision and bridge gap on the particular subject matter.
The Deutche Post AG is considered to be a multinational German package delivery and
supply chain management company. This is one of the world's largest courier company which is
headquartered in Bonn Germany. This company was founded in the year 1969 by Adrian
Dalsey, Larry Hillblom and Robert Lynn.
1