Differences between IT Governance and Data Governance
Introduction
The bigger perspective is that both information technology governance and data governance aim to maximize the enterprise assets to achieve greater business value for the particular enterprise. In most cases, we overlook information technology governance aspects that enable us to achieve effective data governance. Information technology governance’s sole purpose is to ensure that the information technology implementation supports the enterprise objectives, deals with risks, and meets compliance regulations. According to Calder(2015), data governance involves data management to supplement business returns and accelerate business growth. This paper expounds on the differences between information technology governance and data governance.
Information technology is usually regarded as the expense department concerning the cost of an organization but is an essential part needed for the organization to function properly. The aspect of information technology governance involves managing enterprise technology assets. Also, implementing information technology strategies to ensure they are in tandem with organizations’ goals and objectives.Last but not least, enforcing compliance in the enterprise to ensure all the processes are on the standard. At the same time, data governance deals with the aspects of data in the organization. This implies implementing automated procedures for collecting data from different sources. Also ensuring transparency and accountability of data in the organization. In addition to that, embedding analytical tools with the data management system to achieve perfect insight generation.
Information technology governance incorporates both organized and unstructured information. Its procedures incorporate classification, data lifecycle, the meaning of utilization, modes of information access, secure attitude, and electronic discovery. On the other hand, data governance is generally an information technology duty(Sen,2019). Data governance represents all information, both organized and unstructured, related to data stockpiling and move. Angles engaged with data governance incorporate information security, information ancestry, data administration levels, master data management, and prevention of the loss of data.
According to Calder(2020), a definitive obligation regarding information technology governance rests with the Chief Information Officer. The chief information officers utilize diverse setup systems to accomplish their information technology governance objectives. For instance, utilizing the structure; Control Objectives for Information and Related Technology set up to give organizations a typical standard to impart information technology-related objectives, targets, plans, and results. Also, another system called data innovation Infrastructure Library is intended to normalize the arranging, determination, conveyance, and backing of information technology governance to a business with the twin goals of accomplishing unsurprising assistance levels and improving efficiency. Finally, the Factor Analysis of Information Risk system, which is generally new, offers measures and best practices identified with cybersecurity and data hazards.
On a similar subject dealing with data governance, the partners associated with the administration procedure are a superset of those engaged with information technology administration: this includes the board, the main data official, administrators across capacities, information stewards, information researchers, business examiners, and the information technology team.Keyser(2018)argues that many firms likewise have a Chief Data Officer and predict that this will go up to ninety percent of worldwide enterprises in the coming years. Since data governance is a developing field, there are no settled systems to work with yet. However, on occasion, you are thinking about making an information administration program for your association; you need to move toward it in a more extensive perspective.
Another section that helps distinguish between the aspects of information technology governance and data governance is the skills set involved in both subjects. The information technology governance sector requires professionals with specialties in privacy, team play, technology, collaboration, and aspects dealing with recovery. On the other hand, data governance professionals should be efficient in data modeling, data architecture, data integration,data privacy, and profound authority in data management. Professionals with this acumen can work in tandem with the specific sectors to achieve the business’s desired goals and objectives (Wallace,2018).
The article Information Governance, IT Governance, Data Governance: What’s the difference? (2015)states that the main difference that separates the two subjects is the processes in the sectors. The aspect of information governance deals with a process such as categorization, which involves assigning the content and items in categories concerning business sections such as invoices, loan documents, transactions, and its value to the enterprise. Also, category dealing with technology assets usage and access. This implies that the procedures are implemented to ensure the usage aims at achieving the business goals and objectives. On the other hand, data governance has processes such as data security involving the network’s security and the entire infrastructure. Also, aspects of data encryption in the transfer of data from one place to the next. Finally, the major aspect deals with advanced data management dealing with policies and standards in the organization.
Conclusion
There are unquestionably parts of both of these administration approaches that converge and should be composed and executed across various specialty units inside an organization. Characterizing the degree and meaning of governance for the entirety of the substance engaged with your association is simply the initial move towards an all-encompassing way to deal with concurrence on a typical comprehension of jobs and obligations. The language used to portray the kinds of administration can stretch to bring its meaning. When the meanings of these data-related administration disciplines are clear, their disparities become more distinct. Despite the different key contrasts, both data governance and information governance are explicit parts that converge, making a solid potential for productive coordinated effort and reconciliation. Distinguishing the limit of all information dealing with business in your enterprise is an underlying advance toward a widespread way to deal with a general agreement and aggregate perception of jobs and obligations.
Reference
Calder, A., & Watkins, S. (2015). IT Governance. Kogan Page.
Calder, A., & Watkins, S. (2020). IT governance: An international guide to data security and ISO 27001/ISO 27002. London: KoganPage.
Information Governance, IT Governance, Data Governance: Whats the Difference? (2015). Information Governance, 15-23. doi:10.1002/9781118433829.ch2
Keyser, T. (2018). Information governance. The Information Governance Toolkit, 3-9. doi:10.1201/9781315385488-1
Sen, H. (2019). Data governance perspectives and practices. Basking Ridge, NJ: Technics Publications.
WALLACE, M. (2018). IT GOVERNANCE: Policies and procedures 2019. Place of publication not identified: KLUWER LAW INTL.