Managing Information and Technology in PDF

Running head: MANAGING INFORMATION AND TECHNOLOGY
Managing Information and Technology
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MANAGING INFORMATION AND TECHNOLOGY
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Discussion on various kinds of information systems and the ways Enterprise
Recourse Planning systems play an essential tool to manage and control the
information streams organization-wide:
ERP is demonstrated as the capability of delivering an integrated suite of various types of
business applications. It is the tool that shares the common type of data model and processes
covering wide and deep operational and various end-to-end measures. It consists of the elements
seen in the area of manufacturing, service, finance, HR, distribution and supply chain. Moreover,
they automates and integrates central business processes such as scheduling operations, financial
data, keeping inventory records, customer orders. Apart from that, they have various benefits to help
the overall management of business performances. They have been designed across one defined data
structure or schema typically having a shared database (Holsapple et al. 2019). It assures that the
data is seen to be used around that enterprise. This has been normalized and has been based on the
user experiences with the standard definitions. Here, the core element has been then connected with
the business process that is driven through the workflows around the business departments. This
includes the operations, marketing, engineering, human resources and finances and many more. This
comprises of connecting systems and people who are using them. To put that simply, ERP is the
vehicle to integrate processes, people and technologies round the present enterprises.
Aims of the study:
 Understanding various information systems
 Evaluating how ERP plays a vital part to accomplish and regulate the information systems
throughout the organization.

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Objectives of the study:
 To discuss different groupings of the information systems
 To understanding technology of ERP systems
 To investigate the profits of the innovation under a real-life business scenario
Understanding various categories of information systems:
Data processing systems:
The systems were the ones that replaced manual clerical processes that are present in use
such as bank records or the new records that have been unable to be performed by human beings in
calculations that are included because of complexity. These systems are also known as TPS or
Transaction Processing Systems since that is able to deal with the daily transactions of any company.
Instances of this are the data entry, stock control, invoicing and accountancy (Hwang, Lee and Shin
2016).
Management information systems:
This is the system converting information from external and internal sources of data that has
been communicated to suitable form to the managers at various organizational levels. This makes
one put his contribution toward the efficient decision making and effective type of planning is to be
done. Sources of data for managing information system originates from multiple databases. They are
commonly the form of data storage related to data processing systems. This summarizes along with
reports the rudimentary processes of the corporate. Simple data from DPS has been compressed.
Besides, this has been commonly offered in long reports formed regularly (Li, Chang and Yen
2017).
Decision support systems:

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This provides the models and information such that it can help the strategic and tactical
decision-making. This supports the decision making through integrating simple user interface for
querying that system, analytical model and tools for planning and forecasting, business rulers under
decision table and performance data of the company. This is specifically helpful as making the ad-
hic, the one-off decisions. Here, they are seen to be inclining to be asymmetrical and formless
(Chaffey and White 2010).
Executive information system:
In delivers senior managers with various systems for assisting to contemplate strategic and
deliberate decisions. The reason has been to calculate, associate and regulate tendencies or to support
planned decisions of the business. Moreover, The EIS has been able to discourse various formless
kind of choices and produce the generalized communication and computing surroundings instead of
providing specific application or ability. They are never designed for particular problems and tackle
the change in an array of issues. This has been designed for including data regarding external events
like new laws of taxes and competitors withdrawing the summarized information from DSS and MIS
(Masa'deh, Mufleh and Alrowwad 2017). The systems are able to compress, track and filter critical
data, focusing on the decrease in time and efforts needed for retrieving data helpful for strategic
management. Thus one is able to deploy the advanced level of graphics software for providing
largely visual and simple representations for current trends and complex information. Nonetheless,
they never tend to deliver any analytical model.
Expert systems:
This is the computer program trying to emulate the reasoning of human beings. This is been
done through the combination of understanding of hominid experts and ensuing several set of
guidelines that lures the interfaces. Further, the proficient structure is made of 3 portions like the
inference engine, knowledge base and user interface (Li et al. 2019). Here, the knowledge base has