DATA TREE DISCOVERY
Data processing is the process of transforming raw unstructured data or native files such as emails, word documents, excel and any other proprietary file extension into a format that can be analyzed and utilized in a document review platform. With the exponential growth of data in recent years, it has become essential for organizations to extract value from their data to make informed decisions. Using our technology to process data you gain more valuable insights into your data to make the ECA process more valuable.
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Text Extraction
Text extraction is the process of extracting information from unstructured data from native files. Text is extracted into a database to allow for searching and becomes a separate searchable text set within review.
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OCR
OCR is a technology that converts scanned images of text as well as non-OCR'ed PDF or TIFF documents into machine-encoded text. This text is extracted into a database to allow for searching and becomes a separate searchable text set within review. OCR technology has evolved significantly in recent years, and modern OCR engines can accurately recognize text in different languages, fonts, and styles.
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Natural Language Processing
Natural language processing (NLP) is a field of artificial intelligence that focuses on the interaction between humans and computers using natural language. NLP is used in data processing to extract meaning from unstructured text data such as social media posts, customer feedback, and news articles. NLP techniques are used to analyze the sentiment, tone, and intent of text data, making it easier to extract insights and make data-driven decisions.
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Foreign Languages
In data processing, it's essential to identify the language of the text to extract meaning accurately. Language identification technology is used to identify the top three languages present in any foreign language document and the percentage of each within. This technology is crucial for global organizations that deal with data in multiple languages.
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Identifying PII
Personal Identifiable Information (PII) is any data that can be used to identify a specific individual. PII includes information such as names, addresses, phone numbers, and social security numbers. Identifying PII is a critical step in data processing to ensure that sensitive information is handled appropriately.
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In conclusion, data processing is an essential aspect of modern business operations. With the help of technology such as text extraction, OCR, NLP, language identification, and PII identification, organizations can extract valuable insights from their data to make data-driven decisions.