Data Capture and Digitalization

The process by which physical or analogue data is captured and converted to a digital format. Allows for easier storage, access and analysis of information. Statswork helps with collecting data in multiple keyways from various sources (surveys, forms, devices etc.) and transforming this data into structured digital formats.
Data Capture and Digitalization are key processes that allow to capture raw/analogue data and convert it into structured data.
At Statswork, we offer Data Capture Solutions or Data Capture Services that specifically capture, digitize and validate your data using the best practice software and methodologies. This Data Digitalization is critical to ensuring that your data is analysed, automated, and used for research based decisions, presenting a high value in the academic or organizational realm.
What Issues Do We Face in Data Capture or Digitalization? The challenges that come with Digital Data Capture are numerous, including inconsistent formats, illegible handwriting, human error
data entry, a lack of integration with other data sources, poor quality of data, and missing data values, which all contribute to delays in analysing data and potentially impacting research validity.
Statswork are experts at accommodating large averaging and custom-scale data capture projects including both structured data and unstructured data. With a combination of stringent quality control, domain knowledge and specific tools for digital data processing that are designed to your specifications, we maintain accuracy, completeness and usability.
We support all forms of Digital Data Capture, such as web forms, scanned documents, IoT sensor feeds, mobile data capture, etc. We have great flexibility across varied industries and research contexts. To optimize the quality process of the digitalization of data, we leverage intelligent automation and AI-assisted validation to improve accuracy, reduce human error, and ensure consistency across both input data and data sources.
The Significance of Data Capture and Digitalization
The processes of data capture and digitalization take raw or analog information and change it to a structured digital format. This, in turn, allows data to be accurate, considered complete and easily accessed, as it enables an informed decision.
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Leverage Data

Digitizing handwritten or printed records helps organizations to leverage the information that is underused. Once digitized, organizations can support integration, automation and analytics of their data.

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Leverage Accuracy and Reliability

Statswork maintains a high level of data quality with our structured formats and automated validation processes. This is beneficial to the integrity of Research and reporting.

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Leverage Volume

Statswork’s tools allow for large volumes with data ranging in type. If it fits in with a PDF, JPEG or some other format, we can quickly, accurately and efficiently manage your project.

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Leverage Digital Transformation

Statswork experience required from healthcare to market research technology ensures that captured data drives innovation both in your organization and for compliance purposes and encourages strategic growth.

Our Expertise
What We Do – Data Capture and Digitalization Services Statswork provides full duration data capture and digitalization services to transform analog, handwritten or unstructured data into clean, structured digital formats.

Our Industries

At Statswork we work with organizations to reduce costs, increase efficiencies, and enhance customer service using advanced Data capture and digitalization
Tools & Techniques
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EHR Data Capture (Healthcare)

Harvested and structured extraction of electronic health records (EHRs) to enable clinical trials. health informatics, medical research, etc., while ensuring HIPAA/GDPR compliance and interoperability.

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Logistics Data Automation

Automating the extraction of operational data for logistics and supply chain organizations using smart forms, barcoding, and integrated digital platforms that reduce errors and improve efficiency.

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Survey and Field Data Capture Tools

Mobile Apps like Kobo Toolbox and ODK are used for field surveys and humanitarian work, allowing researchers to capture real time data offline in non-disaster settings and research in social science contexts.

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Smart Forms and Dynamic Data Entry

Flexible forms that adapt to user input offer a better data collection method that provides cleaner data and improves the value of captured data by enhancing the relevance of each field collected in sectors such as finance, HR, or education.

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From Automation Solutions

Auto-automation of data intake, routing, and integrating forms with backend systems i.e., end-to-end form-based data intake, which reduces manual entry and makes the workflow faster.

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Barcodes and RFID

Quickly automate data collection using barcode readers and RFID tags. Barcode and RFID scanning technologies are familiar to many and are widely used in applications such as inventory tracking, patient identification, and asset management.

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Digital Onboarding Solutions

Digital onboarding is the secure, automated collection of applicant or new customer details from fillable screens, identity verification, and e-signatures—the process is essential in HR, banking, and education industries.

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AI-based Document Processing

Extract data from printed, scanned, or handwritten documents using optical character recognition (OCR) and machine learning based on neural networks with high accuracy. A good fit for insurance, government, and education sectors

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Compliance-Based Data Digitization

The data capturing systems are designed according to applicable region and/or industry regulations including auditability, accessibility, and integrity, and security throughout the digitization process.

How Statswork Works with Data Capture & Digitalization
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1. Data Accept & Format Shifting

We collect raw, unorganized data from various sources — paper forms, scanned documents, legacy systems, etc. — and present it to you in a universally organized digital format, ready for processing

2. Goals Alignment

We will work to ensure that your data capture and digitization plan aligns with your intended goals and value capture-from research readiness and systems integration to regulatory compliance and analytical readiness.

3. Data Structuring & Tagging

Every aspect of data, or captured data gets rich metadata (source IDs, time or date stamps, form type IDs) for traceability, accessibility and interoperability across systems.

4. AI Species Capture Automation

We leverage OCR, smart form recognition, and AI-supported document processing tools to perform faster and more accurate data entry -as are responsible and accountable for the digitized data contents.

5. Human Validation & Compliance Review

Our data specialists review and validate the content for accuracy and completeness and conduct the required regulatory compliance review (e.g., HIPAA, GDPR).

Success Stories
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