Data Preparation is a pre-processing step in which data from one or more sources is cleaned and transformed to improve its quality prior to its use in business analytics.
What are the benefits of data preparation?
When data is of excellent quality it can be easily processed and analyzed, leading to insights that help the organization make better decisions. High-quality data is essential to business intelligence efforts and other types of data analytics, as well as better overall operational efficiency.
Learn more about the benefits and best practices of data preparation.
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Data Integration
Data integration tools and solutions can help you bring your disparate data together with a unified view for better analysis and business insights.
