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Data Hygiene and Data Processing
Bad data may be sabotaging your best marketing efforts, creating legal liability for your company and squandering precious resources. It can also result in missed revenue opportunities, damage to your digital reputation and wasted resources searching for the right information. By focusing on data accuracy, consistency and reliability, businesses can save time and resources, prevent costly mistakes and minimize the risk of fraud or compliance issues. Fewer data errors make for happier customers and less-frustrated employees.
Data Hygiene
Data Hygiene is the process of identifying and correcting corrupt, incomplete, duplicated, incorrect or irrelevant data from a customer list, conference attendee list or a list of inactive customers. Basically, we can clean any data asset and identify those low-hanging opportunities.
Ultimately, having clean data will increase overall productivity and allow for the highest quality information in your decision-making process.
Data Processing
Data Processing involve the collection, manipulation and transformation of raw data into meaningful and actionable insights. The goal of data processing is to extract relevant information from raw data to support business operations like decision-making and forecasting. It can involve steps like data collection, data entry, cleaning, integration and analysis.