Data Cleansing is a process of refining raw data into usable information, combining multiple sources of data, and normalizing data so that it can be used effectively. This requires a professional data cleansing expert to identify, verify, and organize the various sources of data so that it is consistently store and correctly presented.
When hiring a freelance Data Cleansing specialist, the client should consider what their end goal is for the project. Are they looking just for basic data organization, or do they need someone to parse complex unstructured data sets? Additionally, have they determined the complexity of their cleansed data and whether they need custom transformations performed? Having answers to these questions upfront will ensure that the right freelancer is hired for the job.
In order to identify and hire the right Data Cleansing specialist, clients should take the time to interview prospective freelancers by asking them about their experience and background in working with big data. In addition to reviewing their work portfolio, clients should also consider how well prospective freelancers understand their specific requirements for the project. It would also be wise to ask about any industry-specific toolsets or platforms that could save time and money during the project. Data professionals may charge an hourly rate between $15 - $110 USD depending on their experience and expertise level.
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