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Data Preparer

Data Preparer

Overview

Recent Reviews

TrustRadius Insights

Data Preparer has proven to be a valuable tool for users looking to efficiently prepare datasets from multiple sources. Users have found …
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Pricing

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Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Alternatives Pricing

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What is Clear Analytics?

Clear Analytics is a business intelligence solution that enables non technical end users to perform analytics by leveraging existing knowledge of Excel coupled with a built in query builder. Some key features include: Dynamic Data Refresh, Data Share and In-Excel Collaboration.

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Product Details

What is Data Preparer?

Data Preparer Features

  • Supported: Customer Database
  • Supported: Data Analysis Tools
  • Supported: Data Integration
  • Supported: Data Quality Control
  • Supported: Match & Merge

Data Preparer Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWeb-Based, Mac, Windows
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Comparisons

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Reviews

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Data Preparer has proven to be a valuable tool for users looking to efficiently prepare datasets from multiple sources. Users have found that the software allows them to quickly learn and navigate its features, enabling them to prepare their data in a short amount of time. With Data Preparer, users can gain insights into large data files within minutes, without the need for coding. This has been particularly useful for obtaining quick high-level insights, saving data scientists valuable time in the data preparation process.

The flexibility offered by Data Preparer is another key advantage for users. By accommodating varied requirements for the data wrangling process and the end product, the software allows users to streamline their workflows and adapt to different data analysis tasks. Despite a few glitches reported, the overall experience with Data Preparer has been positive, as it makes data analysis easier and faster. Users have found that by saving time and effort with Data Preparer, they are able to focus on more complex data analysis tasks and explore ways to implement them within their workflows.

Furthermore, customers have had a nice overall experience with Data Preparer as it serves as a good bridge between buyers and sellers. The software's ability to provide quick insights and facilitate efficient data preparation has been well-received by users. This positive feedback highlights the value that Data Preparer brings to users in terms of time savings, increased productivity, and improved data analysis capabilities.

Intuitive and Easy to Use: Many users have praised the Data Preparer software for its intuitive and easy-to-use interface, making it effortless for both experienced and inexperienced users to navigate and perform tasks efficiently.

Efficient Data Handling: Several reviewers have highlighted the software's impressive ability to handle large data files without any performance issues or limitations. This feature ensures that users can work with extensive datasets seamlessly, saving them valuable time and effort.

Powerful Workflow and Transformation Capabilities: Users have appreciated the software's intuitive workflow, which significantly reduces manual work at every step of the data preparation process. With this powerful tool, users can easily perform complex transformations, define numerous rules, and create new datasets without extensive coding knowledge.

Non-Intuitive Usage: Some users have found the usage of Data Preparer to be non-intuitive, requiring external resources such as reading or watching videos to understand its functionality.

Lack of Flexibility Compared to Popular Libraries: Several reviewers have mentioned that Data Preparer lacks the flexibility of other popular data processing libraries such as Numpy, Pandas, Seaborn, and Matplotlib.

Limited Customer Support: A number of users have expressed dissatisfaction with the customer service provided by Data Preparer, suggesting that it could be improved and made more expertized.

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