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Review Questions Ibrahim Braimah Week 2. 1.Why is information security a management problem? What can management do that technology cannot? Information security is a management problem because managing information security has more to so with policy and it’s enforcement, than with technology and it’s implementation. 2.Why is data the most important asset an organization possesses? What other assets in the organization require protection? Data is the most important asset an organization possesses because without it, an organization would lose it’s record of transactions and or it’s ability to deliver value to it’s customers. Other assets in the organization that require protection are technology assets and the safe operation of application 3.Which management groups are responsible for implementing information security to protect the organization’s ability to function? The general management and IT management are responsible for implementing information security 4.Has the implementation of networking technology created more or less risk for businesses that use information technology? Why? The implementation of networking technology has created more risk for businesses that use information technology because business networks are now connected to the internet and other networks extended outside of the organization. Internet Explorer is not supported. Please visit this site on a modern web browser. Skip to content
BlogData is an AssetData is one of the most important assets an association has because it defines each association’s uniqueness. You have data on members and prospects, their interests and purchases, your events, speakers, your content, social media, press, your staff, budget, strategic plan, and much more. But is your data accurate and are you using it fully? Your data is an asset and should be carefully cultivated, managed and refined into information which will allow you to better serve your community and ensure you remain viable in today’s competitive landscape. Although data is one of the most important ‘raw materials’ of the modern world, most organizations do not treat it that way. In fact, according to The Data Warehousing Institute, the cost of poor data quality in America is six hundred billion dollars every year. Data quality issues are also the cause of many failed IT projects. Your data is talking to you, are you listening? The insights you glean from your data are only as good as the underlying data itself. It’s obvious that if the input is flawed, the output will be misleading. When it comes to data, there is a direct correlation between the quality of the data and the accuracy of the analysis. I’m no longer surprised at the high number of duplicate records, and the high percentage of incomplete, inaccurate and inconsistent data we find when we begin to analyze an association’s data. Because it is difficult to quantify the value of data in the same way we can measure cash, buildings and people, the activities designed to manage and protect data as an asset are often low on the priority list. That is, until a business intelligence or analytics project is undertaken. Then suddenly data quality management (DQM) takes center stage. DQM is a Partnership between Business and IT DQM is a Program, Not a Project
DQM is Proactive and Reactive
Sometimes it’s not until a data quality issue surfaces in a publicly embarrassing way that an organization decides to truly tackle the problem – a board report has erroneous data, an association cannot reply quickly to a request for statistics from an outsides source, thereby losing the PR opportunity, the CEO cannot determine the primary contact for an organization in the system. It’s usually only after several situations like these that DQM receives serious attention, but it is unfortunate that it often starts with a search for blame. This engenders fear which represents a threat to the success of a DQM initiative. It is essential that DQM programs begin with acceptance of the current state and commitment to a better future. A promise of “amnesty” with regard to what happened in the past can go a long way toward fostering buy-in for the program. How do you Eat an Elephant? Steps for your First DQM Initiative:
Data is an asset and is one of the most important assets an association has because it is unique in its detail and context and can be used strategically to ensure we remain relevant and viable. When analyzed and leveraged properly it can provide a competitive advantage in attracting and retaining members and creating new sources of non-dues revenue. It is important that the underlying data is accurate and complete and a well-organized DQM program should be considered essential. Worldwide attention is being given to the importance of making “data-driven decisions”. Private industry and government have been using data to guide their decisions for many years and now is the time for associations to recognize data as the valuable asset it is. Share This Blog PostRelated PostsSubscribe to our blog by emailWhy is data the most important asset an organisation possesses what other assets in the organisation require protection?Data is one of the most important assets an association has because it defines each association's uniqueness. You have data on members and prospects, their interests and purchases, your events, speakers, your content, social media, press, your staff, budget, strategic plan, and much more.
Why is data the most important asset an organization?Data is important in the organization because without it an organization will lose its record of transactions and/or its ability to deliver value to its customers.
What is the most important asset of organization personnel or data?Employees are Assets
Successful businesses rely on several different types of assets, such as financial capital, real estate, production equipment and powerful technology. But in today's knowledge-based economy, there is no question that employees are the most important asset of an organization.
Why are data assets important?They are some of the most valuable assets in the technology era, and organizations spend billions of dollars managing such assets. Maintaining a company's data assets helps companies improve their decisions, serve customers, and generate new revenue streams.
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