When pointing out data quality, we need to understand exactly what we typical by the word data. Often, the words information and also data are provided interchangeably, however they are not the very same thing.

You are watching: Data and information are essentially the same thing.

Data is, or are (depending ~ above your understanding of Latin), basic to organization intelligence. Yet how carry out we recognise data as data – and why is bad data together a pernicious entity?

First things First: Data vs Information

There’s a yes, really simple way to recognize the difference between data and also information. When we understand the primary role of the items we space looking at, we easily see the distinction between the two.

Here’s a simple way to call one from the other:

Computers need data. Humans need information.Data is a structure block. Details gives definition and context.

In essence, data is raw. It has not to be shaped, processed or interpreted. It is a collection of 1s and also zeros that people would not be able to read (and nor would they desire to). It is disorganised and also unfriendly.

Once data has been processed and turned right into information, it becomes palatable to human readers. That takes top top context and structure. It becomes valuable for businesses to do decisions, and also it creates the communication of progress.

While the bigger snapshot is slightly more complex, this gets us part means towards expertise what data means.

The larger Picture

When we look in ~ the relationship between data and also information, we can create a bigger chain. This is the DIKW Pyramid.

Why DIKW? It means Data, Information, Knowledge, Wisdom, and also describes the hierarchy in between all four.

The DIKW Pyramid defines the salvation of data, that processing, retention and also interpretation, and it’s together applicable come businesses as it is to the person brain.


What is the Difference in between Data and also Information?

The DIKW Pyramid mirrors that life data evolves to come to be an knowledge of a concept.


To check out the DIKW Pyramid in action, think about the following example.

Data: I have one item. The data display screens a 1, not a zero.Information: it’s a tomato. Now, we know the item and also its characteristics.Knowledge: A tomato is a fruit. We have the right to identify patterns in the information and apply them come the item.Wisdom: Tomato is never included to a fruit salad. There is one underlying, generally understood principle that governs the item’s purpose.

Data Quality: the building Block

In this article, we have truly placed data in context. Us now understand its position as the foundation. It is the basic of a pyramid; the start of a continuum.

If data is flawed, the DIKW Pyramid division down. The info we derive from the data is no accurate. Us cannot make trustworthy judgments or develop reliable expertise from the information. And also that knowledge simply cannot end up being wisdom, because cracks will show up as shortly as that is tested.

Bad data costs time and effort, provides false impressions, outcomes in bad forecasts and also devalues everything else in the continuum.

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Data high quality software addresses problems with data to avoid these type of problems. The ensures the data handling results in reliable info that improves solution and retention. This info unlocks the potential the marketing campaigns, rises sales, improves accuracy and adds value.