Please Consider Your Business Users When Selecting an Analytics and Data Search Tool!

This article should serve as a plea on behalf of the average business user!

Business users are business professionals who have expertise in an industry or market arena or perform a function to support the ongoing operation of the business – professionals who may be front line workers on a production line, finance professionals, sales representatives, non-profit office workers, medical researchers, middle managers, regional managers for retail chains, transportation dispatchers or…well, you get the idea. These team members know their job and they do it well. But, they probably don’t have the technical skills to write a SQL query, or to filter out the columns and fields for an analytical search in order to get the results they need to make a decision.

SME Businesses Must Engage in Culture Change to Successfully Integrate Self-Serve Advanced Analytics!

Small and medium sized businesses (SMEs) are often challenged to satisfy all the roles and responsibilities in the organization and most team members wear more than one hat. That feeling of being overstretched is typical of growing businesses and, in an increasingly competitive market with businesses fighting for skilled resources, it is difficult to meet budget and scheduling goals and get it all done.

Natural Language Processing (NLP): The Value of Context-Driven Searches!

Natural Language Processing (NLP) may not be a term that everyone is familiar with but all consumers and business users are certainly aware of its power. You use natural language processing every day when you perform a search in Google using questions written in the same way one would speak or write to another person. Whether you know it or not, you are using NLP to process, interpret and return results that meet your criteria.

Data Democratization Think of it as Home Renovation!

The focus of this article is on Data Democratization within the business enterprise, but the concepts and approaches involved in implementing this type of initiative are worth considering for any kind of major change within an organization.

Why Do You Need Self-Serve Data Preparation?

Is Self-Serve Data Prep, REALLY Self-Serve?

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.

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

Self-Serve Data Prep is Possible and Wonderful!

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.

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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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