Chapter 2: Data Warehousing and Business Intelligence - VasudevKillada
The difference between Data, Information and Business Intelligence? But what are we exactly talking about and how is information different. Explain the relationship between business intelligence and a data warehouse from CSIS at teenbooks.info Image of page 1 The business value you derive from the data in a DW/BI is a function of the elapsed time between some. Analysis of Relationships. • Correlation - measures relationships. Values can range from. -1 to +1. 0. +1. • Regression - Used to estimate the value of one.
Knowledge is what we know.
Think of this as the map of the World we build inside our brains. Like a physical map, it helps us know where things are — but it contains more than that. It also contains our beliefs and expectations.
Difference Between Data, Information & Business Intelligence | ClicData
Our brains constantly update this map from the signals coming through our eyes, ears, nose, mouth and skin. Everything is inter-connected in the brain. Computers are not artificial brains. For example, take yourself. You may be 5ft tall, have brown hair and blue eyes.
You have brown hair whether this is written down somewhere or not. We can perceive this data with our senses, and then the brain can process this. Until we started using information, all we could use was data directly. If you wanted to know how tall I was, you would have to come and look at me.
Our knowledge was limited by our direct experiences. Information Information allows us to expand our knowledge beyond the range of our senses.
The difference between Data, Information and Business Intelligence?
We can capture data in information, then move it about so that other people can access it at different times. Conversations regularly take place in industry settings where the first challenge is ensuring that everyone is speaking the same language.
In the IC there are a few different definitions of intelligence, but they do not vary much from agency to agency. In contrast, in the private sector terms like data, information, and intelligence are often used interchangeably, with distinctions made based on either sheer volume or the source of the input.
Regardless of how hard it may be to obtain, or how valuable it may be once acquired, no data or information is equal to intelligence.Is there a relationship between intelligence and creativity?
This conflation confuses what intelligence is and inadvertently devalues the standards and methods applied to create meaningful intelligence. All of this is incredibly important to defending our networks, information, and users. None of these are intelligence. The difference is that information is a much more general term applied to any data gained from any amount of investigation, study, or instruction. There is no implication of the application of a rigorous analysis process, application of concepts such as analysis of competing hypotheses ACHweighing of source reliability, or requirements for how to communicate information to a consumer in terms of volume and variety of sources or confidence ratings.
In clearer terms, students gain information every day while in school and the general population gains information from anything they choose to read or ingest. What about the IC? As it turns out, the IC has several definitions that are all similar but not identical.
It has, however, published a definition for counterintelligence.
A key portion of that definition is that intelligence is a product of a process that includes collection, evaluation, collation, interpretation, and analysis. Intelligence production requires application of a repeatable process, combined with solid analytic tradecraft and standards — such as Intelligence Community Directives ICD 7 or the business intelligence standards8 — to ensure the most accurate results needed to inform decision-making.
Intelligence results in wise actions.
In terms of an intelligence process, I am a strong advocate for using the Intelligence Cycle as provided by the IC. Click to enlarge The process is a proven method that ensures an organization understands their needs first, which reduces wasted energy attempting to answer the wrong questions.
Once an organization has captured their needs, those needs drive collection that can be focused against the topicsthat matter most to the organization. When working on intelligence analysis and production, it is important to ensure proper tradecraft is used to reduce bias and subjectivity, increasing validity of confidence language used in any assessments.
As with definitions for intelligence, there are several versions of the intelligence cycle, but all are variations on the same theme.