Review of Sales Administration Intelligence System

The assignment content discusses the sales administration intelligence system, its types of risk (failing to account for change, poor data quality, poor adoption by user, and resistance to change), and recommendations to mitigate these risks. The key takeaways are that effective planning is crucial, strict data change management ensures accurate implementation, user adoption is critical, and a comprehensive change management plan helps communicate the benefits of the system's implementation.

Review of sales administration intelligence system

Introduction
The documentation of sales administration intelligence system is defined as the records of sales
administration which is used to manage the sales of the company over the particular time period.
An intelligence system is basically a machine which is connecting to the computer in order to
analyse the data and communicate with other systems.
Types of Risk
The various risks are associated with the sales administration information system which is
explained below:
1. Failing to account for change
The implementation of intelligence system is mainly done for a change in the organisation in
order to achieve the organisational goals in a most efficient and effective manner (Rainer et
al., 2013). The requirements of business intelligence include project scope, needs of
reporting, data models and others. Failing to account for gathering and implementation is a
major risk.
2. Poor data quality
The implementation of stringent data into the change management policies of the company is
another risk which can culminate in disaster. It also develops the negative perception
regarding the intelligence system.
3. Poor adoption by user

The main aim of sales administration intelligence system is to manage the sales of the
company, but if the adoption is not appropriate done by the sales team, then the
implementation of intelligence system go in vain.
4. Resistance to change
The implementation of sales administration intelligence system may be not accepted by the
business users due to lack of communication-related to the project.
Recommendations
The recommendations are explained below in order to mitigate the risks:
1. The vendor evaluation process must be conducted then the good product demonstration is
given after that the detailed product evaluation and proof of concept process are done in
order to implement the business intelligence tool up to the hype.
2. In order to change the planning must be effectively done which ensures the development
to meet the actual needs of business (Tian et al., 2015).
3. The strictness of data change management helps to ensure that the alterations to the
source system do not accidently impact on the output of the implementation of
intelligence system.
4. The adoption of intelligence system by the business users can be successfully done by
including the end users in the purchase decision which helps to ensure that the business
users find the software intuitive. The inclusion of representative in the each user group in
the delivery team of the project and input from the end users in the development cycle
helps to adopt the software successfully (Mathrani et al., 2013). The training and

development must be provided to the business users in order to implement the sales
administration intelligence system successfully.
5. The comprehensive change management plan must be developed in order to underpin the
change and communicate the benefits of implementation among the business users which
helps to accept the implementation by the users.

References
Tian, F., & Xu, S. X. (2015). How Do Enterprise Resource Planning Systems Affect Firm Risk?
Post-Implementation Impact. Mis Quarterly, 39(1), 39-60.
Mathrani, S., & Mathrani, A. (2013). Utilizing enterprise systems for managing enterprise risks.
Computers in Industry, 64(4), 476-483.
Rainer, R. K., Cegielski, C. G., Splettstoesser-Hogeterp, I., & Sanchez-Rodriguez, C. (2013).
Introduction to information systems: Supporting and transforming business. John Wiley & Sons.