The Benefits of Self-Serve Data Prep for YOU and Business Users!
I won’t lie to you! The benefits of augmented analytics that includes self-serve data preparation for business users…well, those benefits are truly impressive! So, let’s cut to the chase. With self-serve data preparation tools, you can:
- 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
So, why wouldn’t your organization want to implement Data Preparation Software that is easy enough for every business user? Probably because your IT team and/or your executive management team believe it is a) too expensive, b) will take a long time to implement, c) will not be something users CAN adopt because of the need for expertise or skills.
To those naysayers, I would respond that they simply haven’t found the right Advanced Analytics solution! With the right solution and features, business users with average skills can perform data preparation tasks with ease and get results quickly. 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) so users can quickly move data into the analytics system without waiting for IT or data scientists.
Give your business users the power to access sophisticated, intuitive tools and compile and prepare data for use in Data Analytics, so they can test hypotheses, visualize data and create and share reports with other users. These simple tools provide recommendations and guidance so your business users will get the output they expect and can make the right business decision.
If you want the benefits of self-serve data preparation, you can Start Here!Share