Data Governance Essay

• Data sharing: Even business decisions require complex medium share data across business units, therefore, must be comfortable to consolidate data across local databases on

According to Berson and Dubov (2011), there are four typical categories of drivers that explain the need for data management: Business Development, Sales and Marketing; Customer Service; Risk, Privacy, Compliance and Control; and Operational

Map function is simple as it take out the year andthe temperature only because our focus is only

Learning Outcome 6.5: Define a data warehouse, and provide a few reasons it can make a manager more effective.

This method allows for employees to share in the decision making process. This allows for their voice to be hear, learn from others, and begin making managerial team decisions.

Data management is vital to any business as this is a key tool to an organisations business improvement, as you can refer back to data, and compare them against benchmarks. Analysing data can provide evidence for possible future structure such as identify trends, as well as indicate where improvements can be made. However there are strict procedures to be followed when collecting and storing data.

Data are “raw facts that describe the characteristics of an event or object” (Baltzan 6). Managers used to have to collect data manually along with analyzing it. This was a very time consuming process which could also be complicated in different aspects. If businesses lack data this can cause them to make unethical business decisions. For example, if they don’t have the correct data needed they may order in too many products or not enough causing a surplus or shortage in products/supplies. Being able to collect and analyze data quickly everyday helps make a business make better decision. Data in this day and age is important for a business to obtain so they can make the best possible decisions for their company to be successful. This can help a business know how much to order, how much was sold, and their customer numbers. A company can also see where they are getting most of their customers from when collecting data from surveys. Data allows us to see if a company is doing good or bad and

Improved Data Sharing: Data is retained by usual business processes and manipulated on a server is available for designated users (clients) over an authorized access. The use of Structured Query Language (SQL) supports open access from all client aspects and also transparency in network services depict that similar data is being shared among users.

us of data and information. It is therefore the responsibility of organisations to have data and

Organisations need data as a point of reference or to be able to retrieve information whenever it is needed. Every organisation should keep accurate records and information on their employees in order to be able to use this information for planning ahead for the business. Organisations also need data as a legal requirement.

Through informational interviews with seven industry experts and a thorough literature review, the team explored the concept of “big data” and generated key insights which will guide the Federation’s approach as the organization develops its members’ data analytics capacities. Additionally, the team identified a clear business case for implementing data analytics at CDCUs using strategies appropriate for the level of resources within each individual organization. The team also developed a set of survey questions for the client to use when gauging the level of interest and capacity within any individual CDCU.

[1] Why Organisations Need Data - College Essays - Oluwatayo. 2014. Why Organisations Need Data - College Essays - Oluwatayo. [ONLINE] Available at: http://www.studymode.com/essays/Why-Organisations-Need-Data-1001107.html. [Accessed 30 December 2014].

Also, when dealing with a large amount of information. Employees must ensure all information is to be kept updated at all times by checking for out dated records periodically in a given span of time. This is performed to prevent unnecessary costs and issues from arising. When data is shared between organisations, agreements have to be made as to how long the data will be retained on their database and then deleted after a certain period of time. All out-dated and inaccurate information have to be securely deleted in order to avoid errors and detrimental effects.

The audience would be the data owners, data managers and IT personnel who would be responsible for the data quality (data administrator, operations manager or database admin).

when data will be used, Data users are working with the data in their daily jobs.