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WK3AssgnInformationInfrastructure.pptxFinal Project-Business Memo-Selecting and Using Data Resources and Systems John Ezomo Walden University INFORMATION INFRASTRUCTURE
DATA RESOURCES AND PROCESSES IN AN ORGANIZATION
The information possessed or collected in an organization is used for decision-making both in the long term and short term. It is therefore important for anyone working at an organization to study the infrastructure of information processing and flow to ensure that he/she not only collaborates but fits into an organization’s ideals.
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Introduction
Abstract
IT infrastructural layouts in modern organizations are key to effective decision-making as they form the core centre of communications. It is therefore the primary mandate of employees and management personnel to explore and familiarize themselves with the processes, and paradigms that surround organizations’ business and IT operations.
The introduction to infrastructural designs and flow of information methodology in an organization is the core to understanding;
Organizational objectives, appreciation the industrial role of the firm and identifying gaps that require innovation at the organization.
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Data systems
Examples of data resources useful to an organization include;
Catalog data
Numerical data
Display data
Data processing systems are programs that deploy information to produce results and they include;
Communication system
Transactional system
Integration system
Data storage systems that are useful in modern organizations due to their security, speed of access and reliability. An example of a data storage important in backing up data in organizations is a data-server.
The whole image of data systems and their working abilities provides not only the importance of collaboration of systems in decision making but the role of technology in easing operations that are of nobility in modern day business world. These operations include data storage, communications, data integration or encryption into other systems etc..
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Rationale for data systems in firms
Data resources are important locators of data-sets in a storage systems. They form the format foundation unto which data is stored in a an organization.
Data processing systems ensure that organizational goals are met effectively through simplification of processes designated to achieve quality and timelines set in an organizational. The communication system for example, ensures a message is availed in real time to the recipient either through email or other modern communication channels.
Data storage systems are unique in that they form the backbone unto which other processes lay. Data storage systems offers security of data from attacks such as hacks and breach of vital informatics.
Data resources account for more than 50% of quality assurance of products in firms across the world. This is because data resources are the vetting point for data quality using metrics such as integrity and commonality. Organizations therefore ought to investigate their data sources to ensure they provide grounds to check data-sets that are ultimately used for decision-making.
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Uses of data systems
An organization involved in the sale of products online requires to deploy data resources in order to ensure that data is stored in an accurate and fathomable manner.
Data processing systems such as the communication system in an organization are desirable in an online dealing firms as they enhance;
Communication to employees and customers.
Covid-19 work from home i.e. communication between various levels of management is enabled.
Transactional systems in an organization enables money transfer, validation and fast processing of sale agreements.
An integration system links systems together allowing for data input passage from one system to another.
Data storage systems in online trading firms enable storage of information that is useful for decision-making and future forecasts of sales and other relevant issues. A data server is therefore a crucial system in relation to matters data storage and back-up provisioning in an organization.
Covid-19 has presented a perfect chance to test the extensive uses of technology. How so? During covid-19 pandemic firms have turned to encourage employees to work from home thereby boosting remotely controlled communication systems as workers communicate via emails, phone calls, faxes and video-conferencing.
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Challenges in data systems management
Short term issues
Data errors for example, the unclear records or gaps in data that lead to wrong decisions and inferences.
Data incompatibilities where the formats fail to reach compromise hindering integration and transfers in an organization.
Long term issues
Data security is one major challenge that is occurring at most organizations. The hacking of large institutions such as Equifax in 2017 has raised alarm for large institutions to consider data security a priority.
The cost and increased need for innovation in every sector is weighing on firms sometimes edging them out of markets.
There are numerous challenges associated with data from the points of collection to the decision-making tables where managers sit. The problems should be highlighted at every stage of data processing to guarantee that decisions founded on the back of data are profound and correct.
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Recommendations
For an organization to tame the effects of data breaches and hacks then it is inherent for them to undertake the following:
Invest in the latest software technology that protects firms against breaches and hacking.
Consider significant amount of investments in terms of employee training on matters online data security and safety precautions.
Other recommendations include: financial considerations in terms of allocation so as to ensure quality of decision-making processes as it well known finances increases presumably correlates with quality software and best trained software managers.
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References
Data processing systems retrieved from (2020):https://simplicable.com/new/data-processing
Data storage systems retrieved from (2020): https://imperiumdatanetworks.com/servers-data-storage
Pokorný, J. (2017, May). Big data storage and management: challenges and opportunities. In International Symposium on Environmental Software Systems (pp. 28-38). Springer, Cham.
Zdybel Jr, F., Sang Jr, H. W., Pedersen, J. O., Smith III, Z. E., Henderson Jr, D. A., Hecht, D. L., & Bloomberg, D. S. (1996). U.S. Patent No. 5,486,686. Washington, DC: U.S. Patent and Trademark Office.
