Information System Design

Running Head: Information System Design 0
Information System Design
Report
Student name

Information System Design 1
Table of Contents
PART-1.........................................................................................................................................................2
Analysis/Planning....................................................................................................................................2
PART-2.........................................................................................................................................................6
Implementation.......................................................................................................................................6
References.................................................................................................................................................11

Information System Design 2
PART-1
Organization requires different things to enhance thier functions in respect of growth and profit for
entire team. There are many things that make an organziation successful, which are high-level strategy,
technological changes, and business ethics. It is a way to manage all the things in proper way with a right
approach. In present era, Artificial Intelligence (AI) and Machine Learning (ML) are highly used in the
different fields to innovate new ideas, which can increase performance and profit of an organziation
( Bughin , et al., 2017).
Analysis/Planning
Analysis of any problem has different phases and planning to resolve issues, which are occurred during
analysis phase. To resolve issues make reasonable assumptions, this provides different actions in future.
It requires high-level strategy of the organisation to incorporate AI & Machine Learning ( Adams , 2017).
In case of insurance company, it requires high-level of data analytics to take decisions for different
business processes. A motor vehicle insurance company should make a data warehouse to store data of
their clients because it is a long-term process. In addition, AI provides computing algorithms, which
provides a capability to analyze the data and provides desired information after processing that data,
which is feasible for the decision-making process (Al-Saggaf, et al., 2017).
Machine leaning provides different features to learn from different data sets of data of customers,
which is collected from the different structured and unstructured sources. It uses deep leaning
approaches to make solution that is more feasible (Alter, 2001).
As a IS/ICT specialist, I will recommend new information system, which will have AI and ML features.
Those features will be useful in increasing performance of employees and business processes, which are
make effects on the profit of the organization (Baars & Kemper, 2008).
It will cost effective for the organziation, but it will provide huge benefits in long-term for the
organziation. Information System (IS) is also having maintenance cost and other perspective with it, such
as training of employees and implementation cost. It will take large amount to establish properly.
Legacy systems and process are making whole system slow and less effective, which makes huge effects
on the growth of the organziation (Bharadwaj, et al., 2013).

Information System Design 3
Customers affects from all those systems, as they have more expectations from their organization. From
last two decades, disruptive technologies are changes in present market scenarios and it will change the
expectations of the customers ( Bughin , et al., 2017).
In addition, organziation should consider their core system and its challenges. However, changes are
possible in the current system, but it is also old after sometime. Therefore, it is necessary to change the
whole system and its processes to take competitive advantages (Bélanger & Crossler, 2011).
Moreover, customers are connected with digital devices, such as smartphones and other things.
Therefore, new IS will provide uses of these things in the business processes. We can share all the
information on their smartphones and email id, which is a better way of communication and
environmental friendly (Castelluccio, 2017).
AI and ML provide helps into accessing online data of customers and motor vehicles. It will provide
complete information of customers from different databases, such as public databases and private
database, which can reduce frauds that effects revenue of an organization. In addition, it will provide
many opportunities in claim assessment, fraud and risk management (Chen, 2010).
AI and Machine Learning are helpful into motivation of the business based on its facilities to the
organization. In present era, data increases data by day and it is too difficult to manage through legacy
systems. Therefore, it requires cognitive technology to make proper systems, which can satisfy
customers as their expectations ( Davoren, 2019).
AI and ML are frequently used as a disruptive technology in the field of insurance. In addition, AI
provides helps in the claims management process. Claim management process is depends on many
things, such as claim from input, medical reports, repair estimates, incident documentation. All these
documents are in unstructured and semi-structured and it makes this process difficult to process
(Dhillon & Torkzadeh, 2006).
Furthermore, the evaluation and decision-making process depends on all those documents that are
collected in unstructured manner. However, most of the organziation have different types of documents
and few are unstructured because of their bulky processes. AI and Machine Learning will provide
automated claims management solutions (Ghosh, 2017).
It provides fast track claims based on the smart automation and robotic process automation. AI and
machine learning identify patterns in data warehouse and provides fraudulent claims in the process. AI
uses machine learning capabilities in identification process and it discover new cases in new scenarios. It
can search in historical data for more refine results (Gupta, et al., 2018).