Self-Serve Data Preparation is a crucial piece of the puzzle for business users who want and need to make sense of Advanced Data Discovery. Renowned technology research and analysis organization, Gartner, predicts that data and analytics organizations that provide agile, curated internal and external datasets for a range of content authors will realize twice the business benefits as those that do not.
The Smarten solution provides smart data discovery tools and augmented data preparation features that allow business users with average skills to perform data preparation. These easy-to-use tools allow business users to transform, shape, reduce, combine, explore, clean, sample and aggregate data, without the need for SQL skills, ETL or other programming language.
Self-Service Data Prep empowers every business user and allows them to prepare data for their analytics using tools that enable data extraction transformation and loading – ETL for business users! In other words, business users can quickly move data into the analytics system without waiting for IT.
The Smarten solution provides meaningful transformations and stats of data and puts the power in the hands of business users, and allows them access to sophisticated, intuitive tools to compile and prepare data for use in analytics to test hypotheses, visualize data and create and share reports with other users, and it expands and enhances data management, ensuring data quality and providing crucial data insights with tools like Column Analysis, Feature Importance, Missing Value Analysis and Observations.
Machine learning capability provides guidance to determine the best techniques and the best fit transformations for the data business users want to analyze, allowing for better understanding of data.
Improve business analyst and business user productivity
Reduce the time to prepare data for analysis
Reduce user dependence on analysts, ETL and SQL expertise
Engender social BI and data popularity
Balance agility with data governance and data quality
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Contact Us now to find out how your business users can benefit from self-serve data preparation.
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