Information Management And The Risk Assessment Process

Information Management has to do with capturing information, efficient planning, organizing and evaluating the information to interpret for an organization to make well informed decisions. (Hinton, 2006) The main reason organizations depend on information is to improve its overall management in

Information management is a conscious process that needs to be planned. Having regular updates of the business is information gathered and this assists in any decision making. This is to be used by the business and is most useful at the starting point of the decision making process. The information gathered should be used at all levels of the business not just at senior management positions.

3.7. Using a risk assessment to promote health and safety is very important to ensure that the individual is kept safe in the work place. Risk assessments evaluate the risks and identify hazards to put precautions in place to reduce the risks. Reporting and recording the outcome of the risk assessments make things more clear and is careful to keep everybody protected and safe.

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

Data analysis is a procedure of inspecting, cleaning, transforming, and modelling data with the goal of highlighting useful information, suggesting conclusions, and supporting decision making. There are multiple facts and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains in data analysis. For data analysis we have to mine the data first for our purpose such that the data we can handle easily. Basically for data analysis our first thing to do our planning, how we are going to collect the data, our going data going to make sense or not, actually data will be meaningful for our object, after

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.

Information Management is the collection and management of information from one or more sources and the distribution of that information to one or more audiences.

The ability to manage information plays a critical role in developing a firm’s capabilities in customer relationship management, process management and performance management (Mithas, 2011).

Data, data is essential in todays business environment. The amount of information that businesses collect is growing larger and larger everyday. This information can be simple such as a customers name, address, telephone number, gender, or credit card number. The data can also be more complicated and require more insight such as finding out what a customers shopping habits are or finding out how to cater your advertisements based on your clients. With the amount of data every growing we are faced with some issues. Mainly how does a company process all of this information and keep it safe at the same time. This data that is collected is stored and is never truly deleted or gone. Big question is are we equipped to handle all of this information on our own? Well we can but we need to use Information systems to compile it all, process it, and make sure it is safe. Management information systems are made up of computing and communications hardware, operating system software, applications software that support business operations, and staff to analyze and create systems that help to achieve business goals and objectives. Management information systems support a broad array of business operations and enable interaction with an organization 's suppliers, customers and service providers. Every company for the most part creates their own software that is specific to their goals and what they hope to achieve. Software such as ERP (enterprise resource planning) is used to support large

Data Manager- The data manager works in correlation with the Data Analyst to monitor the data and create business databases that can be easily accessed. Constant feedback of communication when there is a potential for business process failure, compromise or monetary loss.

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.

It is generally accepted that information is a vital commodity for the successful operation of today’s organizations. Nowadays modern business organizations are using computerized information systems in order to obtain such information. However as the technology advances rapidly the main issue is how can an organization should effectively use such an information system - which its management sometimes can be unpredictable - in order to effectively help the whole organization structure to improve and take the most out of it.

Information management (IM) is the collection and management of information from one or more sources and the distribution of that information to one or more audiences; is also particularly critical to businesses that work in conjunction with other businesses, so the two must share information with, or transfer information to, each other. In addition, businesses with more than one department or unit can use the MIS to compile information in one central location, thereby preventing information loss.

Proper survey and the complete scenario is taken into consideration about risks in the organization which enables the proper risk assessment. Potential of each threat or risk is evaluated and graded in order to reduce the impact of the risks or reduced the probability of its occurrence.

Organizational data is increasingly prevalent due to the ease of collecting data from several sources. Because so much data is now available and gathered, organizations must set a data management system to clean then consolidate the data to give users clear insight into the organization’s behavior. To implement such a system requires the collaboration of both the business manager and the business’s IT organization. The IT organization must have a clear understanding of the data standards and data model that the manager requests to correctly implement it. Furthermore, the IT organization must determine how the system should be designed to match the data needs of the organization. Alongside the IT team, the business manager must address several issues concerning the system, including how the data should be organized, collected, and distributed. The business manager is also responsible for ensuring the quality of the data gathered and how to address any technical issues that arise, as well as oversee the support for any transitions to updated software, so that data is not lost.