Security Is A Fundamental Part Of A Structured Business

It is not only responsible for storing data but also to provide security along with it. It also allows accessing data effectively; integrating data to enhance service intelligence, analysis based on the services required and most importantly increases the storage efficiency.

data and risks will help a company to design strong policies, procedures and standards that will help to keep data secure.

Data security is the responsibility of the information system team. Three responsibilities of this team are making sure the data is accurate, protecting the data from unauthorized users, and correcting the data if it is damaged. This includes protecting the system by firewalls, gouging phishing, and protecting data from a hardware or software loss.

In today’s IT world every organization has a responsibility to protect the information and sensitive data they have. Protecting data is not only responsibility of security and IT staff but every individual is involved in protecting the information. The risks to information security are not digital only, but it involves technology, people and process that an organization may have. These threats may represent the problems that are associated to complex and expensive solution, but doing nothing about these risks is not the solution.

Due to the lack in data security elements, the following recommendations are suggested: strategy and risk assessment. Overall data security begins with the identification of risks and the strategy on the solution to those risks. This can be accomplished through a Strength Opportunities, and Threats (SWOT) analysis. Strengths and weaknesses are derived from internal factors, such as employees, while opportunities and threats are derived from external factors, such as hackers (Value Based Management, 2011).

Data and information management is a huge growth area. But it's not just data management creating new job opportunities, its gathering, analyzing, storing and securing the data as well.

“The practice of keeping data protected from corruption and unauthorized access” is known as data security (SpamLaw, 2011). The focal point of data security is the protection of

As technology grows and information has become a critical asset companies currently are devoted their resource and money to protect their data as important as their finance and human resource assets.

While all of these technologies have enabled exciting changes and opportunities for businesses, they have also created a unique set of challenges for business managers. Chief among all concerns about technology is the issue of information security. It seems to be almost a weekly occurrence to see a news article about yet another breach of security and loss of sensitive data. Many people will remember high profile data breaches from companies such as T.J Maxx, Boston Market, Sports Authority, and OfficeMax. In the case of T.J. Maxx, a data breach resulted in the loss of more than 45 million credit and debit card numbers. In many of these incidents, the root cause is a lack of adequate security practices within the company. The same technologies that enable managers can also be used against them. Because of this, businesses must take appropriate steps to ensure their data remains secure and their communications remain

A data warehouse is a large databased organized for reporting. It preserves history, integrates data from multiple sources, and is typically not updated in real time. The key components of data warehousing is the ability to access data of the operational systems, data staging area, data presentation area, and data access tools (HIMSS, 2009). The goal of the data warehouse platform is to improve the decision-making for clinical, financial, and operational purposes.

With data and the collection of it, comes the added need for security. To begin to understand how we need to secure the data we collect we need to understand a few aspects of the

Data is a forever growing thing and is not looking to slow down anytime soon. With that be said, companies must be able to manage data for their day to day operations as well as for predicting future trend. Now there are many tools for managing data and extremely high cost for managing it as well. One of the costs for managing data is data security, but this paper will touch on that topic in, but not as much as other topics. Also, this paper will demonstrate various business cases to serve as testimonial for just how useful big data management it in to day society.

With advances in technology constantly happening, it can be hard to keep up with all of the latest trends. If organizations cannot keep up with the latest trends, it can lead to flaws in their security. Any flaws in security can have a detrimental effect on an organization’s database. Almost every organization has some sort of database, whether it is for maintaining customers, inventory, or vital information.

Within an enterprise there are various different applications and data sources which have to be integrated together to enable Data Warehouse to provide strategic information to support decision-making. On-line transaction processing (OLTP) and data warehouses cannot coexist efficiently in the same database environment since the OLTP databases maintain current data in great detail whereas data warehouses deal with lightly aggregated and historical data. Extraction, Transformation, and Loading (ETL) processes are responsible for data integration from heterogeneous sources into multidimensional schemata which are optimized for data access that comes natural to human analyst. In an ETL process, first, the data are extracted from

The RDMS(Relational databases sytems) involves two classifications OLTP(Online Transactional Processing) and OLAP(Online Analytical Processing).As the name suggests