The Principle Of The Principles Of Enterprise Architecture

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

One of the main functions of any business is to be able to use data to leverage a strategic competitive advantage. The use of relational databases is a necessity for contemporary organizations; however, data warehousing has become a strategic priority due to the enormous amounts of data that must be analyzed along with the varying sources from which data comes. Company gathers data by using Web analytics and operational systems, we must design a solution overview that incorporates data warehousing. The executive team needs to be clear about what data warehousing can provide the company.

Discuss the importance of data accuracy. Inaccurate data leads to inaccurate information. What can be some of the consequences of data inaccuracy? What can be done to ensure data accuracy? Data accuracy is important because inaccurate data leads may lead to such things as the closing down of business, it may also lead to the loosing of jobs, and it may also lead to the failure of a new product. To ensure that one’s data is accurate one may double check the data given to them, as well as has more than one person researching the data they are researching.

The two main methods of storage are manual and electronic, both methods having their own benefits. The data can be used for analysis to assist the organisation fulfil its future goals and overall vision. All data must be stored in such a way that it complies with the regulations put in place by the government. This not only protects the organisation, but each and every member of the public.

I have always been interested in data, but the thought of processing data intimidates me. I think it scares me because there is a lot of data out there and I wouldn’t know what to do with all of the data. I feel like I would spend more time organizing the data, than I would actually processing into something useful. Then I learned in this week’s lecture that I should not be as intimidated as I am because it’d just data and much of the data collected without a strategy is useless. Too much data is not a good thing because it slows down the whole operations. Company should conduct a strategy first and figure out what they want the data to tell them before conducting any form of research. Once you have the key metric is completed, you can start

There are several different types of systems like Customer Relationship Management (CRM), and Enterprise Resource Planning (ERP), which are being used by organizations to make decision processes. These systems have progressed tremendously in the last few years by making large amounts of information accessible using data marts and data warehouses (Wixom & Watson, 2001). The above mentioned systems and many more that are not mentioned above allow managers to analyse data depending on the business requirements, to make better informed decisions. These systems have made the decision-making processes easy to a certain point, when used properly. If this system are not used effectively, they can prevent optimization of the decision making process. Humans are the once who make decisions in any organisation/industry and not

Enterprise Architecture is an all-inclusive approach to managing the complexity of IT from a business viewpoint. A framework is used to help describe how to create and use an EA, in a manner that delivers business benefit in a cost - effective way. Each framework has a different approach to adding value to the business. These criteria will identify the ways an enterprise architecture framework adds business value, how adaptability and flexibility effect the overall adoption of an enterprise architecture framework, how the deliverables contribute to the success of an enterprise architecture, how does each framework take a strategic approach to reduce complexity of enterprise architecture, and how the framework encompasses the Software Development Lifecycle.

The people that need to store information need to register with the information commissioner. The data controllers need to see what information would be stored and it should be recorder in the register. Every register contains the following;

Any outcomes of the data will become very important. Most of the time data depicts the performance of the company or any process inside the company. If any process is under performing it becomes extremely important for the leadership to address the issue with the help of data. If any process is performing well, it also becomes extremely important for the company maintain the margin consistency and ensure they stay competitive in the market and go way ahead of the competitors. With the help of data,

Data Mart viewed clients’ data and information as valuable property or asset which could worth a great value to both the clients personal and businesses, it is therefore Data Mart’s responsibility to make sure that these valuable assets are kept whole, uncompromised, not misused, and confidential. Data Mart will keep the information and treat them as copyrighted materials, patented materials which cannot be compromised or duplicated for personal gain or business.

Data in the healthcare industry can include patient demographics, financial information or clinical documentation. Management of this data can include storing in a file, file server, an email, an electronic healthcare system or other locations. Therefore, Data Management is the process of managing how the data collected and how it is stored so that it can be used efficiently and effectively in the future.

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

Development can be speeded up and it also ensures that the selected solution is the “best fit” and allows for future growth in response to the business needs.

Bernard, S. A. (2012). EA3: The Value and Risk of Creating an Enterprise Architecture. In An Introduction to Enterprise Architecture (3rd ed.). Bloomington, Indiana: AuthorHouse.

In today’s business world, it is evident that there is a potentially hidden opportunity in an organization’s rich and diverse customer data. The telecom industry in which our organization operates in, owns a great deal of customer data that portray customer buying behavior daily. This customer data provides a source of insight and a new opportunity for generating revenue, which any organization would want to pursue. To understand how data can transform into revenues, we must first understand why an organization should monetize their data.