1:0 Introduction In this report, I will discuss three concepts. Theseconcepts include data, information and knowledge. I will then further discussan organisation which is Tesco and explain their data manipulation practices.

Iwill then conclude the report by explaining the different improvements that I seenecessary for the organisation.  2:0 Data  “Data is raw. It simply exists and has no significancebeyond its existence (in and of itself). It can exist in any form, usable ornot. It does not have meaning of itself” (Ballinger, Castro and mills, 2004) Data is not organised and neither is it processed. For example,100 is data however it’s not been organised therefore it has no meaning towardsit. Data can come from a number of sources. These sourcesinclude internal organisation data.

These are customers, logistics,manufacturing, products and also devices. They can also come from Externalorganisation data. This includes social media – Instagram, twitter and Facebook.Also included in external organisational data is suppliers, competitors andgovernment or national statistics. There are three main types of data: (Kaya, 2017)  2.1 Structured data This type of data is greatly organised compared with othertypes of data. This allows systems with specific software to easily search andas a result set correctly or organise the data based on search criteria. Thistype of data is also defined too.

This occurs before the data is collected. Theadvantage of structured data is that we already know how it will be organised.This is because we already know the data representation. This includes numbers,currency, dates and addresses. Structured data proves to be a more efficient dueto its cost efficiency. It is efficient to store, analyse and not only this butalso to capture the information.

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An example of structured data is anapplication for example for a license. It would ask you information the titleand gender etc. (Kaya, 2017) 2.2 Unstructured data  This type of data does not necessarily find a place into anydatabase that has been predefined.

It is more human language rather than numbershowever it can still contain numbers and also media type of information. Thistype of data has a massive amount of representation compared to the other typesof data. It represents a massive 95% of all data. A disadvantage however whenit comes to determining efficiency is that this type of data is very expensiveto analyse. Examples of this type of data is multimedia, blogs, audio andpresentations.  “Intelligence can be found from a wider range of sourcesthan the formal and structured outputs of business transactions.

Businessintelligence might derive from the content or destination of e-mails, logs ofborrowing activity on websites, content of web pages and so on.” (Curtis and Cobham, 2013)