Data integrity refers to the accuracy and consistency (validity) of data over its lifecycle. Compromised data, after all, is of little use to enterprises, not to mention the dangers presented by sensitive data loss. For this reason, maintaining data integrity is a core focus of many enterprise security solutions. The Importance of Data Integrity In today’s data-centric world, much emphasis is placed on the security of information; but protecting data is only one part of the equation. Once the bits you create become bytes of useful – and potentially confidential – data, how can you ensure the authenticity of it to someone else? Just as if you were presenting a rare piece of sports memorabilia at auction, the buyer wants to be assured that what they are receiving is genuine. Many of the methods available today require your local systems administrator or security team to implement controls that safeguard data. This tried and true practice does require a collaborative effort from all departments, though, to address multiple aspects such as: naming conventions, directory structures, security roles, effective permissions, etc. It’s important to note that even the strictest data security controls don’t address the authenticity question.

1. The value of the informational content of the data item for individual decision makers: The informational content of a data item depends on its ability to change the level of uncertainty surrounding a decision and, as a result, to change the expected payoffs of the decisions that might be made. These notions have been well developed within statistical decision theory. 2. The extent to which the data item is shared among decision makers: If data is shared, corruption of data integrity affects not just one user but many. The value of a data item is some aggregate function of the value of the data item to the individual users of the data item. Thus, maintenance of data integrity becomes more critical in a shared data environment.

**DATA INTEGRITY IMPORTANT** Three major factors affect the value of a data item to an organization and thus the importance of maintaining the integrity of that data item: 1. The value of the informational content of the data item for individual decision makers: The informational content of a data item depends on its ability to change the level of uncertainty surrounding a decision and, as a result, to change the expected payoffs of the decisions that might be made. These notions have been well developed within statistical decision theory. 2. The extent to which the data item is shared among decision makers: If data is shared, corruption of data integrity affects not just one user but many. The value of a data item is some aggregate function of the value of the data item to the individual users of the data item. Thus, maintenance of data integrity becomes more critical in a shared data environment. 3. The value of the data item to competitors: If a data item is valuable to a competitor, its loss might undermine an organization’s position in the marketplace. Competitors could exploit the informational content of the data item to reduce the profitability of the organization and to bring about bankruptcy, liquidation takeover, or merger. Thanks

Dear freind Data Integrity Data Integrity Important? -- Data integrity problems break trust. -- We rely largely on trusting the firm to do the right thing when no one is seeing. -- Undermines the safety and efficacy and/or assurance of quality of the products that consumers will take Thanks