Info Governance: Structured & Unstructured Data in the Workplace.

Information governance gives the entire structure of information in the workplace. It promotes transparency of operations in an organization and minimizes expenditures of legal representations. Information governance comprises of structured information and unstructured data (Castillo, Raymundo & Mateos, 2017). Databases are examples of structured information, while emails and documents fall in the category of unstructured information. Moreover, information governance contains both internal and external stakeholders. Internal data users, professionals of information, and legal bodies are all examples of information governance. Organizational structures that promote IT strategies that compliment the goals of the business are provided by IT governance.

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Most institutions protect their confidential information and retain their data through the use of IT governance. IT governance pertains to audits such as financial and security audits. It promotes the management of business technology alignment (Castillo, Raymundo & Mateos, 2017). Data governance involves principles that enable the organization to determine and satisfy the requirements of information. It comprises of data management and also policies of data. There are several differences between the three governance. Information governance involves all techniques, roles, and policies that promote effective manipulation of information to bring about maximum profits in an organization. However, management enhances technology performance to encourage the required business value while satisfying the demands of regulatory compliance. Nevertheless, it focuses on software development together with its maintenance. It aims at ensuring the effectiveness of IT. Data governance involves techniques that ensure gathered raw information is accurate or correct and free from reduction. It includes cleansing of data to remove inaccuracy and duplication.

First other response

Information governance aims at maximizing the values of information while minimizing the risks. Moreover, it comprises of compliance and risk groups and also regulatory authorities. Additionally, IT strategy is aligned together with business strategy with the aid of IT governance (Alhassan,Sammon & Daly,2016). IT governance involves financial controls like approval of budgets. Most companies use their data effectively to ensure that it is appropriately handled and consistently to reap more significant benefits. Data governance plays a great role in ensuring there is consistent use of data throughout the company. Examples of data governance include management of business processes and also the management of risk that revolve around the data in a given company. Several differences are witnessed in the three governance. Information governance keeps information as demanded by regulations or needs of internal businesses and risk assessment. In IT governance, minimum costs are encountered since there is the use of proven software maintenance techniques. Data governance focuses on the quality of information from the basic level to provide definite conclusions.

Second other response

Legal compliance in workplaces is aided by information governance. Some of the examples of information governance are e-discovery, information exchange, and information life-cycle management. Additionally, IT governance promotes the use and control of information with the aid of technology (Brous, Janssen & Vilminko-Heikkinen, 2016).Examples of IT governance include cybersecurity and also financial security. It is through technology that data is protected from threats.

Moreover, practices such as project management office require technology. Data governance enables companies to control processes and techniques that data custodians and stewards use to handle and promote efficient use of their data assets. Data usability is an appropriate example of data governance. There are differences in management in that; information governance controls information produced by IT and systems of the office. IT governance ensures that internal and soft copy information is protected from hackers and malicious individuals. Data governance comprise of techniques, tools, and processes that contribute towards achieving high quality and unique data.

References

Alhassan, I., Sammon, D., & Daly, M. (2016). Data governance activities: an analysis of the literature. Journal of Decision Systems, 25(sup1), 64-75. https://www.tandfonline.com/doi/full/10.1080/12460125.2016.1187397Brous, P., Janssen, M., & Vilminko-Heikkinen, R. (2016, September). Coordinating decision-making in data management activities: a systematic review of data governance principles. In International Conference on Electronic Government (pp. 115-125). Springer, Cham. https://www.semanticscholar.org/paper/Coordinating-Decision-Making-in-Data-Management-A-Brous-Janssen/904d28778d280726be725de0a30a101403119677Castillo, L. F., Raymundo, C., & Mateos, F. D. (2017, August). Information architecture model for the successful data governance initiative in the peruvian higher education sector. In 2017 IEEE XXIV International Conference on Electronics, Electrical Engineering and Computing (INTERCON) (pp. 1-4). IEEE. http://toc.proceedings.com/36385webtoc.pdf