Data Preparation Platform is used to manipulate data until it reaches an existential state that is befitting for further processing and analysis. A lot of efforts go into the initial stages of data manipulation, most of which are labour-intensive and difficult to fully automate, however with data preparation platforms, businesses can simplify these complex and manual cleansing, allowing them focus on the analysis and business applications. Data preparation (or data processing) involves the collection, cleaning and consolidation of data into a single file or data table for the purpose of analysis or mining, as the case may be. It is an avenue for users who are technically qualified to analyse datasets of any type or specific composition. During data preparation, extensive auditing takes place until available data is of extremely high quality and fit for intended use. Skipping this level of auditing is dangerous, and can terribly affect the quality of prepared data, as well as data mining results. More often than not, Data Preparation Platforms have embedded adaptors that allow structured and semi-structured sources (e.g. spread sheets, database tables and XML / JSON content) to be equally explored and analysed.