The technology landscape is awash with buzzwords and terminology used without common understanding and proper definitions. The exact meaning of Data Quality can vary widely from person to person. The term has been used by a number of different companies to mean things like address standardization, data profiling, and even product catalog synchronization. What if you need a solution that scales to meet the needs of an information-intensive Fortune 500 business? What if you want a solution to standardize controls that eliminate errors throughout the whole enterprise – from customer quotation to SEC filings? You need an Information Integrity solution.
We’ve chosen the phrase “Information Integrity” to describe our solutions because it carries a more precise definition of a concept that is an essential component to enhancing the value of your information. In an information-intensive business, this means enhancing the value of your enterprise.
In the definition below, it’s important to note the aspects of not just the information context, but the processes and systems that interact with the information.
Information Integrity – Defined
Information Integrity is the trustworthiness and dependability of information. More specifically, it is the accuracy, consistency and reliability of the information content, processes and systems.
The concept of Information Integrity pervades well beyond Data Quality.
A distinguishing feature of Information Integrity is its focus on all of the environments or domains that ultimately govern the integrity of information. The issue is not simply "bad data," but the underlying systems and processes that produce unreliable or inaccurate content.
The three domains of Information Integrity are: content, process, and system. The integrated relationship among these three domains is the overall context of Information Integrity.
- Information Content is the set of data elements (or groups) provided to the user(s) to enable the attainment of a task's objectives. The content includes many forms, e.g., numeric, text, spreadsheets, business reports, databases, and more.
- A Process is the organized set of logical functions designed to transform an input into a specified output. Examples of processes include claims processing and financial reporting.
- A System is the organized set of physical and logical components (human, electronic, mechanical, or other) configured to achieve a specific purpose. Examples of systems include computer applications, organizational units, and even governments.
Information Integrity is a Prerequisite
Information Integrity is a prerequisite for many other information management initiatives. If the underlying information isn’t of a sufficient level of integrity, the success of business activities relying on the information will be limited. Before you start on your next Data Warehouse, Business Intelligence (BI) project, or Business Activity Monitoring (BAM) project, read our
Information Integrity Prerequisite white paper in order to avoid repeating the technology failures of many other companies. Implement Information Integrity solutions from Infogix to enable the success for your corporate data management strategies.
What Makes Information Integrity So Different?
The information technology marketplace is abuzz with phrases such as Business Intelligence, Data Quality, Business Activity Monitoring, Master Data Management, and many others. Learn how Information Integrity is really different than these. Read the
Information Integrity Difference white paper.
Learn More about Information Integrity
With 25 years of exclusive focus on Information Integrity, we’ve learned a great deal from the implementation of independent automated information controls at hundreds of Global 2000 companies. We've crafted best-of-breed Information Integrity solutions for the most prestigious companies on the planet. Profound understanding of the subject comes from our depth of experience. Read our
Information Integrity Imperative white paper for more information.
