Self-Serve Data Prep Puts the Power in Hands of Your Users

Augmented Data Preparation is in Your Future!
Self-Serve Data Preparation is Easy as Pie! Data preparation tools come in many shapes and sizes and not all are equal. If your business is interested in implementing a self-serve environment where its business users can become a greater asset to the organization, and use data preparation for analytics, you definitely need to consider ease-of-use for your users and flexibility, sophisticated functionality and mobile accessibility for the good of the organization.
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Self-Serve Data Preparation Doesn't Mean Traditional ETL is Dead!

Self-Serve Data Preparation Doesn't Mean Traditional ETL is Dead!
Extract, Transform and Load (ETL) refers to a process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting. It offers high quality data, which otherwise resides in poorly structured heterogeneous, complicated data sources.
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What is Self-Serve Data Preparation and How Can It Support Business Users?

What is Self-Serve Data Preparation and How Can It Support Business Users?
Self-Serve Data Preparation is the next generation of business analytics and business intelligence. Self-serve data preparation makes advanced data discovery accessible to team members and business users no matter their skills or technical knowledge.
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Self-Service Data Prep: A Tool for Business Users

Self-Serve Data Preparation Makes Data Analysis Easy & Fast
Self-Serve Data Preparation Makes Business Users More Productive and Efficient! There is too much to do in a day to wait for someone else to give you the data you need. But, when it comes to data preparation and data analytics, business users are usually not comfortable with complex solutions that are time consuming or that require professional analytical skills. You pay your team members to have a certain type of expertise and that doesn't always include technology or analytical knowledge. So, if you want them to be a real asset to the organization, you have to give them easy-to-use self-serve data preparation tools. Self Serve data prep allows business users to quickly gather and prepare data for analysis and to answer questions and solve problems without delay.
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Data Preparation Tools Should be Self-Serve

Self Service Data Preparation! Help Yourself!
Why is Self-Serve Data Preparation So Important? What is self-serve data preparation? It isn't a method of making up data. It is a method of preparing data that allows the average business user to compile and analyze data without the assistance of a data scientist or an IT professional.
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White Paper: Self-Serve Data Preparation Provides Significant Benefit to the Enterprise

Self-Serve Data Preparation Provides Significant Benefit to the Enterprise
By providing sophisticated analytical features and algorithms in an easy-to-use self-serve environment, the enterprise enables business users to perform data preparation and test theories and hypotheses and prototype on their own. Rather than preparing data at the central meta-data layer, and restricting what business users can do and see, IT enabled (rather than IT controlled), self-serve data preparation allows users to compile and prepare data and use that data in analytics to test hypotheses, perform visualization and create and share reports, and create custom alerts and other information. Business users can control the data elements, the volume and the timing.
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Quality is Important! Agility is Necessity!

Agility vs. Quality: A Tightrope Act of Analytics
Agility and Quality: A Vital Balancing Act! This might be a strange comparison but let me make it anyway! Think of data agility and data quality like a tight rope act. The tightrope walker is thinking about getting to the other side without falling. The audience wants to see grace and beauty during the process. They want to see a QUALITY act. In the case of the tightrope walker and the audience, they sometimes have very different goals.
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Citizen Data Scientists? Yay or Nay?

Citizen Data Scientists? Yay or Nay?
It seems that everyone today is talking about Citizen Data Scientists. For some organizations the concept is perhaps frightening. The term may conjure up images of novices trying to do the work of someone with years of training and failing miserably in the process. For others, the image may be of an organization run amuck with business users leveraging sophisticated advanced analytics tools to create and share data that may be misinterpreted or distributed improperly.
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Data Democracy = Business Benefit

Self-Serve Data Prep and Data Democracy: Good for All!
I vote for Data Democracy. Why? Because data belongs to everyone in your organization and if you can find a way to provide data democratization, and provide your business users with mobile BI tools, self-serve business intelligence, social BI tools and self-service data prep, your organization WILL reap the benefits.
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