ReportMiner

Quickly capture the meaningful information and insights hidden within your unstructured data with our enterprise-grade data extraction solution

Overview Key Features How It Works Reviews Resources

Overview

Save Time with Workflow Automation

Automation with ReportMiner starts from the first point of contact, when data is being imported for extraction. Users can configure a program to watch an email inbox, a network folder or any other location in real-time, and automatically pull files for extraction. Workflows can be designed to orchestrate the entire extraction process, all the way to writing data to the destination of your choice.

Build a Repeatable Process to Manage Big Data

Using a combination of rule-based data extraction and process orchestration capabilities, ReportMiner allows businesses to create a repeatable process to handle unstructured data. Users can easily build reusable extraction templates within the code-free, drag-and-drop environment of the software and deploy them to extract desired data points from incoming documents.

Experience Unparalleled Extraction Speeds

ReportMiner’s high-performance parallel processing engine delivers superior performance and scalability. Workflow components can be distributed across multiple servers to complete complex data extraction jobs with maximum efficiency. The solution also offers bulk load support for popular databases to efficiently process very high data volumes.

Handle Unstructured Data of Any Format, Complexity, and Size

Capable of handling any unstructured data format, including PDFs, PDF forms, PRN, TXT, RTF, DOC, DOCX, XLS, and XLSX, ReportMiner helps businesses make sense of big data and transfer it to a destination of their choice. Leveraging Astera’s extensive library of connectors, users can write extracted data to delimited, XML, or fixed-length file or export it to a database or BI tool like PowerBI or Tableau.

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. ReportMiner, an enterprise-ready solution, uses template-based data 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 ReportMiner, users can extract information from a wide range of unstructured data formats, including PDFs, PDF forms, TXT, PRN, RTF, DOC, DOCX, XLS, XLSX, and COBOL. Native connectivity to all popular databases, enterprise applications, and cloud solutions allows users to easily connect to any data sources and export data onto the visual builder of ReportMiner for data extraction, profiling, and conversion.

Template-Based Data Capture

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

Automation of Data Extraction Jobs

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

Data Quality and Validation

ReportMiner allows business users to create custom data quality rules to establish 100% confidence in 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.

Ability to 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 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 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.

SaaS Data Extraction Platform

With our SaaS offering, we provide users with a fully hosted solution, where they are given access to a website configured for their organization. You can submit files for processing and receive extracted data in real-time. Our experts will build the extraction solution for your use case and deploy it for you.

How It Works

Equipped with ETL and workflow automation functionality, ReportMiner offers business users the capability to extract data from unstructured sources, validate it, and write it to the required platform, all within a single platform.