Data Preparation: What it is, and How to Do it Right
“Data preparation is the process of gathering, combining, cleansing, structuring, and organizing data so it can be analyzed as part of data visualization, analytics, and machine learning applications.” Data preparation: who’s doing it, how quickly, and how well? The term “data preparation” itself has evolved as fast as the tools for the task, and those […]
ETL vs. Data Preparation: What Are the Differences?
ETL data (extract, transform and load) has for years been a workhorse technology for enabling analysis of business information. But now it’s being joined by a new approach, called data preparation or data wrangling. The two techniques are similar in purpose, but distinct in function and application. Let’s take a look a how the two […]
Winning Strategies for Successful Analytics Projects
How Organizations Leverage Data Analytics to Turn Data into Value For businesses to realize the full potential of their data assets, they must leverage data analytics and data prep to enhance operational efficiencies, drive growth, improve the customer experience and optimize business efficiency. The most advanced companies derive analytics from their data to evaluate the […]
What is Data Prep and Analytics?
In a perfect world, businesses use data to make strategic business decisions for operations management, customer insights, growth strategies and performance tracking. But not all organizations have figured out how to establish efficient data prep and analytics processes. To draw valuable analytical insights that benefit the business, organizations must first prep data for analysis. Once […]
ETL and Data Wrangling: Users, Data Structure, and Use Cases
When you’re choosing how you prepare your data before moving it into another repository, you want to make the right data management decisions. You have options available, two of which are ETL and data wrangling. Which is the right one for you? In this article, we’ll explore who uses each method, the types of data […]