Data Handling and Decision Making

This study material provides an in-depth understanding of data handling and decision making. It covers topics such as data integrity analysis, mapping between business functions and data sources, data flows between stakeholders, and approaches for improving data integrity. The material also discusses the importance of financial and non-financial data in decision making and the ethical requirements for data protection.

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.
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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.
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TASK 1
Key sources and flows of data which are collected, processed, stored and taken into account for
decision making process of the organisation.
Statement of current financial and non financial data used by organisation in decision making.
Deutsche Post
For making proper business decisions for the company managers require financial
information but at the same time non financial information are also having the same importance.
Deutsche Post in its decision making uses both financial and non financial information in its
decision making process. Everything done by a business has financial impact like for example
for filing suit against the excessive compensation claimed. Financial statements include balance
sheet , income statements and cash flows where that helps company in taking proper measures
for reaching the targeted objectives. Non financial statements include environmental impact,
workplace diversity, employee turnover , CSR statements that indirectly affects the business and
growth of company.
Analysing data integrity and identifying gaps
It is important for companies to analyse the current data integrity as well as to identify the
gaps that can affect the business operations. Deutsche post addresses the issues of computer
systems and identifies gaps using different measures. This done by integrating the data
management in quality systems of company so that it could be ensured that the procedures and
procedures are properly implemented by the company. They are required by the company for
making effective decisions for the company. Updating the systems when the company is
installing new computers systems so that any issues arising could be identified at that time. It
should perform gap analysis for the data that identifies variances or the discrepancies in the
software system.
Map between business functions and the data sources
Data mapping refers to mapping the data to various data sources of the business it is
essential for the company to map connections between the data and it related business functions.
Mapping enables the company to understand the connections between different functions of the
business on the basis of available information. It provides accurate information in a quantitative
manner having specific data objects, fields, attributes and the semantic rules for making
informed decisions.

TASK 2
Data flows between organisation and its stakeholders.
Description of data flows between stakeholders and its organisation for making tactical, strategic
and operational decision making.
Their should be smooth and easy flow of data between the Deutsche Post and its various
stakeholders. Company for making decisions required the data to be accurate s the that the
decisions made by the management are correct. Data flows refers to the information related to
the company and all the transaction that are carried between the parties and the organisation.
Company must ensure that all the transaction are recorded by the company are correct. From
suppliers providing the raw materials, company should receive correct statements of all the bills
and invoices raised for the purchases made. Similarly company shall also record the correct
quantities and rate charged by them. Similarly management should have actual and correct
access of all the information about the activities and operations that are carried within the
company.
Information flow between the investors and consumers is through financial statements of
company that shows the health and position of company. The statements should give true and
fair representation of the financial position of the company. These flow will help the
management in making strategic, accurate and tactical decisions that are important for the
company for effectively managing its business and taking decisions. The decisions taken by
management will not prove to be accurate if the data flowing between company is not accurate.
It should flow smoothly so that the operations do not have any interruptions and proper measures
can be taken by the management of company.
Approach for improving data integrity.
Data is critical for every sphere of organisation. Data is generated and validated at
various levels of and is exchanged between number of processes and systems. Deutsche Post can
undertake the following steps for improving the data integrity.
Cleaning & Maintenance
Data quality will be affected highly by bad data. Cleaning of data should be undertaken
by company for detecting correcting and removing the discrepancies. The approach should be
followed by company on constant basis that maintains health of system which will help in
improvising data integrity.
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Having single source of data.
Data is found all over of the organisation. This leads to difference in answers coming
from different sources. For eliminating this , company should invest over single source data
warehouse.
Data entry & liability
Integrity is to be started from its starting level. Manual entries of data may lead to errors
and omissions reflecting over the end results. Employees should be trained properly for data
entry which will prevent mistakes and errors. Information should be easy to understand and the
data should be audited at reasonable interval for identifying the gap.
Data protection and ethical assurance requirements
Whenever any personal data is collected company has both legal and ethical obligation of
ensuring that information of the parties are protected properly. It is fundamental for safeguarding
the rights and freedom of company. Company should implement highly secured technical as well
as organisational measures for protecting personal data that is processed by the organisation. The
personal data of the parties should be kept with high encryption so that the data could not be
misused by company. It is essential to have advanced security measures in the organisation
where only authorised persons could enter the office where the server are kept and all the
important information is stored by company. It should not have access by the outsiders that are
not required with information. This is ethical responsibility to ensure that the information of the
parties are not misused due to insufficient security measures of the company. Information that
are vulnerable to the company should be highly secured with advanced security measures and
technology.
TASK 3
TASK 4
TASK 5
TASK 6
TASK 7
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CONCLUSION
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REFERENCES
Books and Journals
Online
[ONLINE]. Available through:<>
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