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Astera ReportMiner

Astera ReportMiner

Overview

What is Astera ReportMiner?

Astera Reportminer provides a solution for data ingestion and integration for unstructured data sources. The no-code interface enables users to liberate business data trapped in documents such as PDFs, PDF forms, PRN, TXT, RTF, DOC,DOCX, XLS, and XLSX. Astera’s solution…

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Recent Reviews

review on Astera ReportMiner

9 out of 10
February 09, 2024
We have been using it for the last 4 years and it is working smoothly and efficiently, it is being used to solve different business …
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TrustRadius Insights

ReportMiner has proven to be a versatile and efficient tool for various data extraction and manipulation tasks. Users have successfully …
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Reviewer Pros & Cons

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Pricing

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ReportMiner Enterprise

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On Premise
per user

Entry-level set up fee?

  • Setup fee optional

Offerings

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

Automating Data Extraction Processes for Energy Sector with Astera ReportMiner

YouTube

Astera ReportMiner Unstructured Data Extraction Demo

YouTube

Faster Data Extraction with AI I Astera Document Extraction and Processing

YouTube

Astera ReportMiner (Unstructured Data Management) Demo

YouTube
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Product Details

What is Astera ReportMiner?

Astera Reportminer provides a solution for data ingestion and integration for unstructured data sources. The no-code interface enables users to liberate business data trapped in documents such as PDFs, PDF forms, PRN, TXT, RTF, DOC,DOCX, XLS, and XLSX. Astera’s solution is a combination of AI and template-based data extraction purpose-built for efficiency. Users can auto-generate templates with the click of a button, fine-tune them using comprehensive customization options, and use them for subsequent extraction jobs involving files with similar layouts, saving time and effort. With features for data cleansing/scrubbing, business rules-based data quality verification, data transformation (merging, splitting, normalizing, denormalizing, and more), and loading into high-end database platforms, an integration flow can be designed to extract, transform, and load data into the final destination for operations and business intelligence applications. ReportMiner Enterprise Edition also provides a built-in scheduler with real-time scheduling features, so not only is the extract/transform/load process automated, but also job scheduling and maintenance.

Astera ReportMiner Features

  • Supported: Reusable AI-Generated Templates for varying layouts.
  • Supported: Workflow Automation
  • Supported: Support PDFs, PDF forms, TXT, PRN, RTF, XLS, XLSX, and COBOL.
  • Supported: Load extracted data to a range of destinations and formats, including fixed length, CSV, Excel, and XML/JSON.
  • Supported: Data Quality and Transformation
  • Supported: Performance Optimization
  • Supported: User Authorization and Authentication
  • Supported: Monitoring Features
  • Supported: Email Notifications
  • Supported: Native connectivity to file repositories, such as Local Directory, FTP/SFTP, and email sources to expedite data retrieval.
  • Supported: Supported destinations include relational databases and others via ODBC connectivity.
  • Supported: Point and click interface (no-coding required)
  • Supported: Instant Data Preview

Astera ReportMiner Screenshots

Screenshot of the AI-powered data extraction in Astera Report Miner that allows users to extract information from unstructured data sources automatically without creating templates.Screenshot of the automated report mining that generates report models for each file in the folder and successfully generated files to the AI Generated Report Models folder.Screenshot of the standalone report models that automatically uses the Auto create layout model in the tool.Screenshot of where Astera ReportMiner provides an option to extract data from PDF files that have images or scanned documents that are saved as PDFs with Optical Character Recognition (OCR) feature. Users can also select the suitable resolution to apply OCR.Screenshot of the drop-down menu where users can choose purchase orders or invoices. Users can provide the layout of the data that they want to extract from these source files either via importing a layout defined object from a dataflow or importing a layout from a JSON.

Astera ReportMiner Videos

Ciena Corporation has been using Astera ReportMiner's automated data extraction capabilities to capture and process customer data from PDF purchase orders while eliminating manual data entry and input errors completely.
Converting Monarch models in Astera ReportMiner

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Astera ReportMiner Technical Details

Deployment TypesOn-premise
Operating SystemsWindows
Mobile ApplicationNo

Astera ReportMiner Customer Size Distribution

Consumers7%
Small Businesses (1-50 employees)15%
Mid-Size Companies (51-500 employees)40%
Enterprises (more than 500 employees)38%
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Comparisons

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Reviews and Ratings

(12)

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!

ReportMiner has proven to be a versatile and efficient tool for various data extraction and manipulation tasks. Users have successfully converted large volumes of PDFs into Excel spreadsheets, allowing for easier analysis and processing. From converting customer purchase orders to extracting data from lab reports, the software has improved efficiency and accuracy in handling different types of file formats.

Customers have also utilized ReportMiner to automate report generation, eliminating the need for manual steps. The software has been praised for its ability to reformat files, extract specific parts for import into other systems, and transform files from PDF to desired formats. Users have found it relatively intuitive to use, although some improvements could be made to the documentation.

The product's customization options and outstanding customer service have garnered recommendations from satisfied customers. While some users experienced difficulties with downloading and setting up the software, the helpful customer service team promptly resolved these issues. Overall, ReportMiner has significantly increased efficiency and improved data analysis capabilities for users, whether it's converting printed PDF reports or digitizing monthly documents.

Easily converts PDFs into text: Users have found that ReportMiner excels at converting PDF documents into text, even in situations where the PDF has a complicated format. Many reviewers mentioned that they were able to address every scenario they encountered, which was not possible with other services like PDF Focus and Azure Form Recognizer.

Efficient template creation for data extraction: The ability to create templates and quickly extract data from incoming PDFs is highly appreciated by users. This feature significantly reduces the time spent on data extraction according to multiple reviewers.

User-friendly and flexible: Users highlight the user-friendliness and flexibility of ReportMiner. They find it easy and flexible to work with, making it a cost-effective solution as they don't need to rely heavily on technical support. Several reviewers mention this aspect positively.

Cons:

  1. Mac Compatibility: Some users have mentioned that the tool is not available for Mac, limiting its accessibility to a significant portion of potential users who prefer or exclusively use Mac devices.
  2. Learning Curve and Dependence on IT Support: Several reviewers have expressed uncertainty about whether business users can effectively use the tool without IT support due to a learning curve in using the software. This reliance on IT support may hinder the autonomy of business users and potentially slow down their workflow.
  3. Lack of Automation in Lower-Priced Versions: Users have stated that the less expensive versions lack automation capabilities, which could be a drawback for those seeking more efficient workflows. The absence of automation features may require manual intervention and result in repetitive tasks, making it less suitable for businesses looking to streamline their processes efficiently.

Users have made several recommendations about Report Miner based on their experiences and needs. The most common recommendations are:

  1. Testing various options and exploring alternatives: Users recommend thoroughly testing different options and considering alternative solutions before settling on Report Miner. This approach allows for a comprehensive evaluation to ensure that the tool meets specific requirements.

  2. Including OCR functionality for free: Some users suggest that adding optical character recognition (OCR) functionality as a complimentary feature in Report Miner would enhance its capabilities. This inclusion would enable users to extract text from images or scanned documents, broadening the tool's scope of use.

  3. Having clear goals during the trial period: Reviewers recommend having a clear outline of what needs to be accomplished and testing it during the trial period. This approach ensures that the tool aligns with specific needs and requirements before making a purchase decision.

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