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Data-Driven Companies Leverage OCR for Optimal Data Quality

Smart Data Collective

One study by Think With Google shows that marketing leaders are 130% as likely to have a documented data strategy. Data strategies are becoming more dependent on new technology that is arising. One of the newest ways data-driven companies are collecting data is through the use of OCR. How does OCR work?

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

Data Pine

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.

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How to build a reliable document management system?

CMW Lab Blog

In today’s digital age, the need for efficient document management is paramount. Businesses and organizations generate vast amounts of documents, from invoices and contracts to reports and emails. Managing these documents manually can be time-consuming, error-prone, and costly. Why Do You Need a DMS?

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The Future of AI: High Quality, Human Powered Data

Smart Data Collective

This massive undertaking requires input from groups of people to help correctly identify objects, including digitization of data, Natural Language Processing, Data Tagging, Video Annotation, and Image Processing. How Artificial Intelligence is Impacting Data Quality. Assessment of Data Types for Quality.

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Document Data Extraction 101: Understanding the Basics

Astera

What is Document Data Extraction? Document data extraction refers to the process of extracting relevant information from various types of documents, whether digital or in print. The process enables businesses to unlock valuable information hidden within unstructured documents.

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Interesting statistics around big data, data analysis, and usage

Analysts Corner

Data Analysis (Image created using photo and elements in Canva) Evolution of data and big data Until the advent of computers, limited facts were collected and documented, given the cost and scarcity of resources and effort to capture, store, and maintain them. MB of data each second. Source: IDC).

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Streamlining Data Accuracy in Governance: Finding the Ideal Automated Legal Document Extraction Tool

Astera

Within the intricate fabric of governance, where legal documents shape the very core of decision-making, a transformative solution has emerged: automated legal document extraction. In a world where governing bodies can extract vital data from contracts, regulations, and court rulings in mere seconds, the possibilities are boundless.