Data Extraction Services
Managed Data Extraction Services for High-Volume Documents and Business Data
Data Extraction Services help businesses capture and structure information from documents, websites, databases, and other data sources. ARDEM provides managed data extraction services for organizations that need to convert high volumes of documents and digital sources into accurate, structured business data. Our managed data extraction workflows support faster processing, improved data quality, and reliable delivery of structured information for downstream systems, reporting, and decision-making.
We extract required information from PDFs, scanned documents, images, emails, portals, websites, databases, spreadsheets and other business records using OCR/ICR, workflow automation, validation rules and trained human review where exceptions require judgment.
For companies looking to outsource data extraction services, ARDEM manages the workflow from intake and extraction through validation, exception handling, quality review and delivery in the required format. This gives internal teams scalable processing capacity without requiring them to build, train and supervise a separate data extraction operation.
Large extraction requirements often involve changing formats, incomplete records and systems that do not connect. ARDEM combines extraction technology, trained review and workflow management to turn those inputs into validated data that supports your next operating step.
Illustrative example: a recurring order or proposal workflow could return a source record ID, customer identifier, document date, line-item details, amounts, validation status and an exception reason. The fields and checks are agreed with your team before processing.
We review the available exports, authorized access, data structure and destination requirements to define the extraction approach. This can include document collections, databases and records spread across systems. Access limitations, mapping rules and reconciliation checks are established before implementation.
Client Case Study Energy Management
For an energy management company, ARDEM built and managed a workflow for more than 2,000 utility bill transactions each week, including variable formats and bills requiring more than 100 captured fields. The solution combined AI-assisted extraction, specialist review, programmatic provider, currency and unit-of-measure checks, and validation against a replica of the client’s test database.
The published case reports that processing turnaround fell from more than 72 hours to under 24 hours, with output checked against downstream ingestion requirements. This result is specific to that engagement.
Use representative documents and difficult exceptions to review the source-to-field mapping, critical checks and receiving-system requirements. Agree what happens when a value is uncertain or the destination cannot confirm acceptance.
Review the integration evaluation questions, see how ARDEM works with your systems, or understand testing and transition readiness.
For operations requiring validation, transformation and reporting after extraction, explore managed data processing services.
Review extraction questions or discuss your extraction requirements.
Solution design, validation, specialist review and connected delivery.
ARDEM can design and build a data extraction solution around your documents, source systems and required output. You do not need a finished template, integration or technical specification before engaging our team.
We define the fields to capture, the checks each record must pass, and the review needed when information is missing, inconsistent or difficult to interpret. The solution can combine extraction technology, programmatic validation, human expertise and workflow automation.
Approved data can be delivered through APIs, scheduled exchanges, secure files or direct work in your systems. ARDEM manages the agreed extraction operation, including quality review, exceptions and delivery visibility. Real-time exchange is available where the connected systems and review requirements support it.
Client Case Study Agricultural Technology
For a plant-breeding technology company, ARDEM converted 1,965 agricultural PDFs into a structured dataset containing 13 required fields. Technical analysts interpreted variable source records while dual-key entry, programmed validation and discrepancy review supported database-ready output.
Client Case Study Energy Distribution
Preparing for an ERP migration, a national energy distributor needed controlled invoice and utility-bill data across a decentralized operation. ARDEM built centralized intake, digitization, vendor, GL and location validation, automation-assisted capture, human review, exception handling and scheduled output.
The published case reports more than 33,000 main invoices and approximately 4,000 utility invoices each month, invoice images available within 24 hours, and structured XLS data delivered on a five-day schedule.
Read the ERP-ready invoice and utility data workflow case study. The engagement used scheduled file delivery; it is not presented as evidence of a real-time API implementation.

Stride ahead with advanced data extraction services that enhance operational efficiency and let you focus on core competencies.

Automated data capture utilizing OCR and ICR to collect data from documents, websites, databases, images, etc.

Eliminating errors and increasing efficiency to deliver data from varied sources in a faster turnaround.

Transforming raw, unstructured data to yield actionable insights for smarter decision-making.

Documents sent to ARDEM will be digitized and accurately extracted into your preferred file format. Utilizing both data entry and automated data capture technologies, accuracy is ensured for the highest quality of data.

Utilizing automated data capture technologies, ARDEM streamlines your data extraction process to increase efficiency and productivity. Capture content from electronic documents, databases, websites, and more!

Once data is extracted from various sources it runs through ARDEM’s multiple validation routines to ensure the most accurate data. Our dedicated team works to meet your deadlines and deliver data with a fast turnaround.
Data Mining is performed from online content and from digital documents. Unstructured data is extracted from multiple sources including websites, databases and social media to provide actionable intelligence.
Data Processing is utilized to collect data and transform data to machine readable format. Using data mapping and mathematical algorithms required data extraction is performed.

Data Mining for collecting key data from large datasets or volumes of documents. Cleaning data and organizing data into actionable information.
A reliable data extraction operation requires more than extraction technology. The workflow must define what data is required, how it is validated, how exceptions are handled, and how completed output is delivered.
ARDEM identifies the documents, databases, files, websites or other approved sources, along with required fields, business rules, formats and delivery requirements.
OCR, ICR, automation and trained specialists are used in the appropriate combination to capture required information.
Extracted data is checked against defined rules, required fields, source information and expected formats.
Missing, unclear, inconsistent or low-confidence records are routed for human review, correction or escalation.
Validated data is delivered in the agreed format, with workflow reporting available for recurring extraction operations.
With advancements in technology and the big data trend, machine learning has become more and more popular in the business world. Machine learning utilizes data mining principles and makes correlations to learn and apply new algorithms for higher accuracy. Quite often, this type of artificial intelligence is used for data extraction purposes in order to collect and organize large sets of data quickly and more efficiently.
Make Informed Business Decisions with Swift Data Retrieval
Using a combination of intelligent automation and effort-based processing we deliver fast, accurate and highly reliable results.

Industry experience and expertise help build specialized teams with extensive training in data mining, database and web extraction.

Access, data handling, review and delivery requirements are defined for the engagement. ARDEM reviews the applicable controls and assurance evidence against your information and systems.
ARDEM scopes the solution around your volume, source complexity, validation and delivery requirements. Compare implementation and ongoing costs against the work and oversight your team would otherwise retain.
ARDEM combines experience in managed business operations with extraction technology, specialist review and workflow automation. We can build a new extraction solution or improve the process you already use.
The operating scope defines quality measures, delivery windows, exception ownership and reporting. ARDEM manages the agreed workflow and investigates recurring defects or delays to recommend practical improvements. Timing and cost outcomes depend on the sources, systems, review requirements and scope.
Data extraction outsourcing is most useful when the volume, variability or quality requirements of the work make it difficult to manage consistently with internal resources. Instead of continually adding people for repetitive extraction work, organizations can move a defined workflow into a managed process with documented rules, validation, exception handling and reporting.
Data Extraction Outsourcing and Business Process Outsourcing Services Benefit Logistics, Utilities, Accounting, Health, Retail and Manufacturing Industries.
For information to be actionable it needs to be available in a digital format. This data could be collected from the web. It could be data from PDF files. It could be data collected from scan images. By choosing to outsource data extraction services, businesses can ensure that all forms of data, whether from web sources, PDFs, or scanned images, are quickly and accurately converted into digital formats. By utilizing data extraction services, businesses can efficiently extract relevant information from these sources and achieve high accuracy data conversion for their operational needs.
Freight Bills of Lading, Vendor Invoices, Utility Bills, Retail store data, Order fulfillment, Public Opinion Survey, Health Test forms all generate large volumes of business data. Data Entry Automation, Machine Learning and AI technologies are used by ARDEM to deliver higher data accuracy, reduce data processing cycle time and reduce costs for our clients in these industries.
How Data Extraction Automation is used in Processing of Freight Bills of Lading
Expedite Bill of Lading (BoL) entry and processing to improve efficiency.
Accurate freight bill entry and processing to ensure accurate billing for each shipment.
Eliminate manual processing to accurately create shipping labels, enter orders, and process invoices.
Increase visibility of FTL and LTL and reduce operational costs for streamlined processing.
Data Entry and Data Capture from Utility Bills. Utility bills can be sent as paper bills, or images, or the utility bills can be directly collected from the utility sites by us. Utilizing advanced utility data capture technology, ARDEM can efficiently processes various formats of utility bills. Data extraction solutions can accurately extract energy consumption data and utility expense data from the utility bills.
Utility Bill Data Management Service includes the data entry and data capture of utility bill data to help companies process their utility bills, track their utility expenses, manage their bill to pay cycle for utility bills, flag out of range utility expenses.
Utility bills need to be paid on time to prevent service disruptions which occur as a result of missed payments. We collect the payment data from utility bills, create payment files, perform Account Payables transactions, and make electronic payments for our clients.
Utility Consumption Data is collected for Sustainability Reporting and Energy Data Analysis.
Accounting Data Entry and use of Automation in Accounting helps our clients maintain accurate financial records
Using both AP Automation and qualified accounting talent we shorten vendor bills to payment cycle.
Improving Checks Receipt to Deposit cycle, timely Bank Reconciliation, we help clients improve their Cash Management.
Data Entry for Bookkeeping Services for our clients helps increase accounting data accuracy while reducing their costs.
Businesses with large volumes of monthly invoices utilize Data Entry, Data Capture and Automation technologies for the collection and processing of data from invoices.
Experience shorter payment cycles with faster data entry and data capture from medical claims. Incorporating automated data extraction methods into our workflow allows for quicker turnaround and more precise capture of medical claim details. With data extraction services, ARDEM ensures that critical information from medical claims is accurately extracted. It helps reduce errors and speed up the processing time for faster reimbursements.
Test Requisition Form Data Entry or Lab Form Data Entry is accurate and completed quickly to deliver data rapidly to our clients.
Data Conversion from one format to required insurance form format using data entry or automated data conversion solutions.
Outsourcing Medical Data Entry for medical forms and for collection of data from Patient Satisfaction surveys.

Accurate Data Entry of new Customer Orders improves Order to Revenue cycle. By utilizing document data entry services, ARDEM ensures accurate data entry and management of sales orders. With data extraction services businesses can automate capture of data from sales, improving the accuracy and efficiency of the sales order processing workflow.

Data Mining, Data Research and Data Analysis using Predictive AI helps our customers with Business Intelligence.

Data Entry Outsourcing Company for processing of Rebates, verifying, tracking rebate claims using double-key data entry and automation technologies.

Processing customer orders with speed and accuracy for faster order fulfillment.
In a published manufacturing engagement, ARDEM processed approximately 24,000 multi-page pump and compressor specification sheets spanning decades of formats. The managed workflow used defined field rules, dual-key capture, automated comparison, discrepancy review and final quality checks. The case reports a 30% reduction in data extraction cost for that engagement. See the manufacturing data extraction and validation case study.

Data Entry and Data Capture from Bills of Material, Material Specification Sheets to aid Manufacturing Record Management. Partnering with a data extraction company can help improve the extraction of critical information from bills of materials, ensuring accurate and efficient data processing for manufacturing data management.

Data Entry and Data Capture from Material Data Safety Sheets.
Data entry and Data Processing for Rapid Accurate Order Fulfillment.
Digital Scan Conversion, Indexing, Data Capture from Engineering and Architectural Drawings for Manufacturing Document Management.
Outsourcing essential but repetitive business tasks can help you streamline back-office functioning and gain competitive agility. The competitive advantage in allocating business functions like data entry and document processing to a trusted data entry company is that doing so frees your internal resources to focus on your core competencies.
Data extraction as a service involves capturing required information from documents, files, databases, websites or other approved sources and converting it into structured data that can be validated and used in downstream business systems or workflows.
Data extraction workflows can support PDFs, scanned documents, forms, invoices, claims documents, utility bills, freight documents, spreadsheets, images and other structured or semi-structured business records.
The workflow can combine automated extraction with specialist review for unfamiliar layouts, uncertain fields and exceptions. We assess representative documents, including difficult examples, and define the field mappings and validation checks needed for the required output.
When a format or business rule changes, the affected records can be reviewed and the extraction rules updated through the agreed change process. Quality reporting should show completed records, corrections and unresolved items, not just the number of documents processed.
Automated data extraction uses capture technology and workflow automation to capture information. Managed data extraction adds the operating layer around that technology, including validation, exception handling, human review, quality control and recurring workflow management.
Cost depends on document volume, source access, layout variability, required fields, line-item detail, validation rules, human-review workload, delivery frequency and system integration.
A useful proposal distinguishes initial solution design and integration from ongoing extraction, quality review, exception handling and reporting. Representative inputs and the required output help establish the scope, including any work your internal team would otherwise need to retain.
Yes. Depending on the available fields and service scope, reporting can reveal recurring missing information, duplicate records, source inconsistencies and processing delays. Your team can use these patterns to prioritize changes to upstream systems and workflows.
Records that do not meet the agreed rules remain visible for review rather than being treated as complete. ARDEM can configure checks and exception workflows to distinguish missing or inconsistent data from a failed transfer.
Where the receiving system provides an acceptance response, that response can help confirm delivery or identify rejected records. The agreed process defines the owner, next action and follow-up for unresolved items.
A Sr. ARDEM Data Extraction Consultant will follow up by email to understand your sources, volumes, required output and timeline. Operations and technology specialists can then help define an appropriate processing and delivery approach.
Evaluating an extraction partner? Our 2027 data entry outsourcing buyer guide explains how to compare quality controls, automation, implementation, pricing and operational ownership.
Tell us what information you need to extract, where it is stored and how the output will be used. ARDEM can help define the fields, validation rules, review process and system delivery for a new or existing workflow. A Sr. ARDEM Data Extraction Consultant will review your requirements and follow up by email. Please do not include confidential source records in this public form.
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