Data is the driving force behind every business. However, to seize the information advantage and use data as a decision-making resource, businesses must leverage the power of both structured data contained in relational databases and unstructured data trapped in documents, spreadsheets, email messages, machine logs, and other files.
Purpose-built to handle unstructured data, ReportMiner combines the ease of use of rule-based data extraction with the power of an enterprise-grade ETL engine to help businesses streamline the extraction, transformation, and integration of data trapped in unstructured data files.
The intuitive interface of ReportMiner offers users the ability to construct reusable extraction templates without coding and use it to extract documents in bulk as they are received. With process orchestration, users can automate report mining and downloading tasks, whilst reducing human error and increasing cost savings.
How Data Extraction Works
To capitalize on the explosive growth of unstructured data, businesses need a data extraction solution that can capture, transform, and convert unstructured data into a format compatible with their business systems or data warehousing and visualization solutions. ReportMiner helps streamline this process with its unique approach that automates the entire process of extraction, ranging from data import to its conversion, validation, and loading to the destination .
Seamlessly integrate data contained within unstructured data files into workflows with ReportMiner.
The data extraction software allows users to extract data from PDFs, PDF forms, PRN, TXT, RTF, DOC, DOCX, XLS, and XLSX and build reusable extraction templates.
Leveraging the process orchestration capabilities of the solution, users can design workflows and automatically pull files from a folder, cloud storage solution, email inbox, or FTP location for extraction.
Extracting data from unstructured documents can be a tricky feat. ReportMiner makes the process simpler by allowing users to build extraction logic in a completely code-free manner.
Auto-creation of extraction patterns and the ability to create matching rules improve the quality and speed of data extraction, allowing businesses to access meaningful information faster for decision-making.
Extract analytics-ready data using ReportMiner’s sophisticated data quality and transformation features.
With its cluster-based architecture and powerful ETL features, the solution can extract, validate, and load large volumes of data onto the desired destination efficiently.
Out-of-the-box connectivity to databases, cloud solutions, and visualization tools allows the use of extracted data for populating a data warehouse, analysis and reporting, or any other operational use.
Transform Data into Business Intelligence
Combining the power of automation, parallel processing, and smart data extraction, ReportMiner makes it easier for businesses to efficiently leverage unstructured data and integrate it with data warehousing and visualization tools to gain key insights.
Key features of ReportMiner include :
Code-Free, User-Friendly Interface
Featuring a user-friendly interface, ReportMiner offers users the ability to build extraction logics and patterns without the need for scripting or programming.
Support for a Range of Unstructured Documents
Whether it’s the processing of PDF forms, text documents, or spreadsheets, ReportMiner enables multi-channel capture with its support for a range of unstructured documents.
Handle Large Volumes of Data Efficiently
With its high-performance, parallel processing engine, ReportMiner delivers superior performance, even when handling large volumes of unstructured data from disparate sources.
Advanced Data Mapping and Transformations
As a complete data extraction tool, ReportMiner allows users to work directly with their data and apply complex transformations to normalize, denormalize, split, or merge data files.
Ability to Create Reusable Extraction Templates
ReportMiner streamlines the capture of unstructured data by allowing users to build reusable extraction templates. These templates can then be deployed to extract desired data points from incoming documents automatically.
Automate the Process of Data Extraction
Enjoy improved agility and cost-effectiveness by automating the entire process of data extraction, right from the capture of incoming data to its conversion, validation, and loading on the preferred destination.
Validate Incoming Data for Quality
Make better decisions using data that has been validated against user-defined quality rules. ReportMiner automatically flags the records that do not meet the desired criteria, ensuring user complete visibility of the data validation process.
Real-Time Data Extraction
Extract data in real time or at specific intervals from files uploaded on a network folder, FTP location, or email inbox by designing a workflow. ReportMiner will automatically match incoming files with the corresponding model and load data on the configured destination.
Export Data to a Range of Destinations
Leveraging ReportMiner’s extensive library of connectors, users can write extracted data to an Excel, delimited, XML, or fixed-length file or export it to a database or a visualization tool like Tableau or PowerBI.
Create a Centralized Repository of Data
Leverage Astera’s innovative data model-driven approach to quickly build and populate a data warehouse with unstructured data that has been cleansed and validated using ReportMiner.