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Guidance from Gartner: The Current and Future State of the Data Preparation Market

September 3, 2020

I’ve been thinking about the intersection of data, guidance, and action.

Here in the United States, we’re still in the teeth of COVID19, awash in data that’s changing constantly and is difficult to trust. It’s confusing and frustrating. You want guidance from a reputable source  so that you can adapt quickly and get back to whatever passes for business as usual these days.

That’s why guidance from a trusted source like Gartner is especially valuable. The latest Gartner Market Guide for Data Preparation Tools was published in July 2020. Once again, Trifacta is featured amongst the 20 vendors that Gartner evaluates against four categories of data preparation tools. This guide is indispensable in helping you navigate a crowded and constantly changing data preparation technology landscape to select the right tool for your business.

(Although Gartner doesn’t rank data preparation vendors, Trifacta has repeatedly been recognized as the #1 data preparation product by users and analysts.   Try it now for free to see how fast you can turn your messy files into automated analytics.)

Evolving from Self-Service Alone to Collaborative Data Preparation

This latest guide describes an evolution in data preparation tools. With their origins supporting self-service use cases alone, these tools have matured. They now enable integrated data datasets to be built at a much larger scale whether across teams or enterprise-wide.

Data and analytics teams have a lot more choice now. They are no longer limited to performing data preparation using code, excel or relying on IT to do it for them. As you can see from this research from Gartner, data workers can now perform data prep themselves in a variety of different types of products.

Automation is Key in Data Prep

Regardless of how data preparation capabilities are delivered, data and analytics team still wrestle with two big challenges when adopting data preparation enterprise-wide:

  1. Transitioning from exploratory, ad hoc work, to automated pipelines  
  2. Using ML/AI algorithms to simplify and accelerate data preparation

These are two areas where Trifacta really shines. With Trifacta, you can build data preparation workflows at scale with clicks not code, and you can deploy and automate self-service data pipelines in minutes not months. Moreover, every click, drag, or select within Trifacta leads to a prediction. With predictive transformation capabilities, our system intelligently assesses your data to recommend a ranked list of suggested transformations with real-time previews of each transformation you can evaluate or edit. Unlike other tools, Trifacta constantly guides you through the data prep process using intelligent suggestions powered by machine learning.

Predicting the Future in Uncertain Times

Perhaps most valuable in these uncertain times are the strategic planning assumptions that Gartner used to guide its analysis:

  • By 2021, organizations that offer users access to a curated catalog of internal and external prepared data will realize twice the business value from analytics investments than those that do not.
  • By 2022, data preparation will become a critical capability in more than 80% of data integration, analytics/BI, data science, data engineering and data lake enablement platforms.

This is just my take on the report…but it’s probably best for you to read it yourself to formulate your own opinion. I invite you to download the 2020 Gartner Market Guide for Data Preparation Tools for guidance on the complex data preparation market so that you can evaluate all options and take action that’s right for your business. 

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