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Showing posts with the label Data Preparation Software

Is Self-Serve Data Prep the Same as Augmented Data Prep?

Self-Serve Data Preparation and Augmented Data Prep Go Hand in Hand! I was talking to a friend the other day and she shared with me her experience at a recent business intelligence conference. She was a bit confused by some of the terminology and we spent a few minutes parsing the terms and talking about the concept of self-serve data preparation. She was confused by the fact that self-serve data prep and augmented data preparation are often mentioned in the same discussion. “If something is self-serve,” she said. “How can it be augmented? Self-serve seems to me to mean that a person can do it alone without assistance.” She considers ‘augmenting’ to be assisting. Well, in some ways she is correct. But, let me tell you what I told her. Augmented Data Preparation  is designed to provide guidance, recommendations and auto-suggestions so that a user can work alone to get sophisticated results in a simple, intuitive, self-serve environment. Self-Serve Data Preparation ...

Why Do You Need Self-Serve Data Preparation?

Self-Serve Data Preparation Takes the Headache Out of Data Analytics! Self-Serve Data Preparation (aka augmented data preparation) is all about efficiency and the presentation of sophisticated data preparation tools in an easy-to-use environment. The idea behind self-service data preparation is to give the average business user the ability to prepare, use, report on and share data without the assistance of IT staff or analysts, thereby making their jobs easier and making every team member more of an asset to the organization. Business users love  Self-Serve Data Preparation  because they can control data elements, and the volume and timing, perform data preparation and test theories and hypotheses by prototyping on their own. No one likes to be restricted to complex tools or forced to wait for programmers or data scientists. Give your business users access to crucial data and connect them to data sources so they can mash up and integrate data in a single, one-st...

Why Do You Need Self-Serve Data Preparation?

Self-Serve Data Preparation Takes the Headache Out of Data Analytics! Self-Serve Data Preparation (aka augmented data preparation) is all about efficiency and the presentation of sophisticated data preparation tools in an easy-to-use environment. The idea behind self-service data preparation is to give the average business user the ability to prepare, use, report on and share data without the assistance of IT staff or analysts, thereby making their jobs easier and making every team member more of an asset to the organization. Business users love  Self-Serve Data Preparation  because they can control data elements, and the volume and timing, perform data preparation and test theories and hypotheses by prototyping on their own. No one likes to be restricted to complex tools or forced to wait for programmers or data scientists. Give your business users access to crucial data and connect them to data sources so they can mash up and integrate data in a single, one-st...

Self-Serve Data Preparation for Business Users

Is Self-Serve Data Preparation Really Possible? Your business users are ready to do the job! They have a lot of data spread across the enterprise in various data repositories and forms and they want to pull it all together and analyze the data to get the answers to the questions you ask them every day. But, preparing that data is not easy. In the old days, team members would reach into a file cabinet and pull out folders with the right information. They would pour over the numbers and the data and draw conclusions and then make a plan or provide a report. Sometimes the data was old and sometimes the conclusions they drew were incorrect or based on biased opinion. Today,  Self-Serve Data Preparation  can provide business users with the tools they need to find and prepare the data they will need to answer those crucial questions and to do all of that without the assistance of an already overburdened IT staff. Data preparation does not have to be difficult. Now y...