Astera ReportMiner2021-06-15T10:32:14+00:00

Key Features

Various technology trends, such as cloud-based applications and mobile devices, combined with traditional, forms-intensive business processes have led to an explosion in the volume of unstructured data collected and managed by enterprises. Astera ReportMiner, an enterprise-ready data extraction platform, uses template-based extraction to help businesses extract and use data trapped within emails, PDF forms, spreadsheets, machine logs, and other unstructured data files.

Support for a Range of Unstructured Data Formats

With Astera ReportMiner, users can extract information from a wide range of unstructured data formats, including scanned PDFs, PDF forms, TXT, PRN, RTF, XLS, XLSX, and COBOL. Native connectivity to all popular databases, enterprise applications, and cloud solutions allows users to easily automate pdf data extraction by connecting to data sources and exporting data onto the ReportMiner Visual Builder.

Template-Based Data Capture

Using a template-based data extraction approach, Astera ReportMiner enables users to build reusable templates and use them to extract meaningful information from all incoming documents with similar layouts. Creating these document extraction templates is quick, easy, and code-free with Astera ReportMiner’s drag-and-drop interface, auto-creation of data patterns, and automated name and address parsing.

Automate Data Extraction Jobs

Astera ReportMiner automates the pdf to data process and expedites data preparation with features like email/FTP/folder integration, job scheduling, automated name and address parsing, and auto-creation of document extraction patterns. Users can design a workflow for a routine extraction job and set time- or event-based triggers to run the job at specific intervals or every time an unstructured PDF data file of a specific template is received.

Data Quality and Validation

Astera ReportMiner allows business users to create custom data quality rules to establish 100% confidence in PDF extraced data. Once defined, quality rules can be reused for all incoming files based on the same template. Each record undergoes all specified checks, and records that do not meet the defined criteria are flagged as per rule parameters. Users can view the reason for any flagged records and get the exact location of the erring data inside the document. For example, an error in exported PDF invoice data extraction can be easily found

Export Data to Any Destination

Extracted data can be loaded to any destination of choice using Astera’s extensive library of built-in connectors. The automated invoice data extraction software offers out-of-the-box connectivity to popular databases, file formats, enterprise applications, cloud solutions, web services, and BI and analytics tools, such as Tableau and PowerBI. This allows users to combine unstructured data with structured data for analysis and reporting.

Private Cloud or On-Premise Deployment

Astera offers a variety of deployment options, depending on the organization’s specific requirements. The on-premise model remains a popular choice, where the user installs the automated PDF data extraction software on their own network, both the server and the design components. With the private cloud option, Astera will configure an Amazon Web Services (AWS) instance and host the integration server on the cloud for you. The design component can reside on-premises or in the cloud.

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How to Automate Data Extraction with ReportMiner

Equipped with ETL and workflow automation functionality, Astera ReportMiner offers business users the capability to extract data from unstructured PDF, emails, reports, and text-based sources, validate them, and write the data to the desired destination, all within a single platform.

Template based report extraction with Astera ReportMiner Data Extraction Software

Ready to Extract Intelligence from Unstructured Data?

Get started with Astera ReportMiner data extraction platform and convert PDF, text, and RTF files to structured data using our template-based data extraction approach.

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