Data Intelligence is the next step in the evolution of data as a true intangible asset of an organization. This category of capability and understanding is one that stretches across data governance, data management, technology, architecture, and business process.
Data Intelligence, much like Business Intelligence was originally intended to do, provides factual insight related to the outcomes of performance. But unlike Business Intelligence, this category of analytical capabilities is more measurable and defined to those that know what they are doing. Data Intelligence should provide an organization with the ability to bring in the internal operational data and externally available data to evaluate the integrity, value and quality of both as it relates to the strategic direction and goals for the organization. In the next few paragraphs, we will highlight the steps of our methodology that will lead your organization to true Data Intelligence.
We’ve all heard about Business Intelligence, or BI, as it has been the silver bullet that the software vendors have been pitching for the last 15-20 years. You may even think that it was all that was needed to drive improvements and to holistically know the inner workings of your business. However, this could result in you spending a large amount on software or systems only to realize that the value of BI is directly related to the integrity, quality and value of the data underneath.
It took this same scenario for the team at Data Clairvoyance to realize that where there are massive amounts of data there is the opportunity to leverage statistical modeling. Forget the stupid bar charts and pie graphs that the BI tools are spitting out! This realization started our executive team down a path of understanding, learning, reflection and epiphany.
In the early 2000′s, during a major IBM Cognos implementation, a member of our executive team realized that the work products of every type of role in a massive organization could be observed by the data that was created as a part of or completely related to each work product.
Data is the artifact that enables us to examine the environment, people, and objects within an organization. It acts as the surrogate to measure every aspect of an organization. One just needs a way to structure, categorize, aggregate, test and synthesize. This lead to our next epiphany and realization that there are mechanisms to create a cataloged categorization and structure for the information around data — treat a single data point as a coat rack to hang things on for future reference.
So many people in an organization and consulting practices talk about the importance of managing people, tools and processes. It has become one of the most over used and least understood concepts in business. Now we can look for relationships in each of these variables and see that data is the lowest common denominator — every process step, technical object or person in the organization uses, creates changes, manages or distributes data to some degree.
People think about that data in unique ways, depending on their level of responsibility within their organization, and this uniqueness is where the real power exists. Imagine taking a unique concept or view on data and using that thing as the coat hanger to hang the process steps related to it, the people related to it and the technologies related to it. In one very succinct step, you have captured an entire environment that is data, people, process and technology.
Simply having this as a requirement to go out and answer for all parts of the organization can become the measuring stick of understanding across the organization. The absence or lack of understanding by not being able to supply any part of that equation identifies a significant risk that was previously buried by layers of minor details and red tape. The level of intelligence gained about how the organization works is light years ahead of any business intelligence “simple graph” that can be created by the smartest analyst in the company.
This milestone is the first major step in being able to do data science on the organization, as well as begin to ask questions about how the world works from the organization’s vantage point. Data Clairvoyance can help your organization make this major milestone achievable by creating an analytical model and method to accelerate your efforts in understanding how your company operates across all four major categories: data, people, process and technology.
If you’re interested in learning more about how Data Clairvoyance can help you find your true data intelligence, click the link below to speak with a member of our team now.