Data cleaning or validation is an ongoing process that involves reviewing, diagnosing, correcting, and documenting collected data to ensure its accuracy and quality. Regardless of how the data is gathered, such as through face-to-face interviews, phone interviews, or self-administered questionnaires, there are often errors that need to be addressed. These errors may result from human mistakes, poorly designed data recording systems, or issues related to the consistency and format of data from external sources. At Opino, we have a highly skilled team well-versed in SPSS and Quantum technologies. We possess the expertise and experience required to identify, address, and refine inaccurate data. We are proficient in distinguishing between valid data points and outliers. Our clientele spans various industries, including financial services, automotive, utilities, retail, healthcare, construction, FMCG, and sports. We also provide support to some of the largest enterprises and market research agencies globally. Our team members receive thorough training in data cleaning and validation techniques, guided by experienced project managers and supervisors with extensive experience in providing data cleaning services.