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About the Author

Sandra E. Serkes, President & CEO of Valora Technologies Inc.
Ms. Serkes is a dynamic leader with an extensive background spanning over 20 years in software marketing, product management and corporate strategy, particularly in document processing, computer telephony and speech recognition. One of Valora's original founders, Ms. Serkes has been actively involved in Valora since its inception in 2000. Today, Ms. Serkes oversees Sales & Marketing, Finance & Administration, Operations, Engineering and Corporate Strategy.

A graduate of both Harvard Business School and MIT, Ms. Serkes is a frequent industry speaker and panelist. She is an active participant in the Women Presidents' Org., The Commonwealth Institute, the MIT Enterprise Forum, the Massachusetts Software Council and the Network of Harvard Alumnae. Ms. Serkes serves on the boards of several technology and service start-ups. Ms. Serkes was named a 2006 "Woman to Watch" by Women's Business Magazine.

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At Valora, we solve real-world information and document management problems every day with our innovative Document Data Mining & Predictive Analytics solutions.

Records Management

Full analytics for Records & Knowledge Management, including intake, classification, coding/indexing, data dashboard, workflow routing and notifications.

eDiscovery

Specialty eDiscovery for automated Redaction, Translation, Unitization, Document Review & Coding.  Complex productions have met their match.

Information Governance

Automated document data mining, indexing and classification solutions for DMS upgrades & migration, data remediation, retention strategies, legal hold, litigation readiness, knowledge management and more.

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BFMA Designing Forms to Facilitate Records AutoClassification Live Webinar

BFMA & Valora Technologies Present:

Designing Forms to Facilitate AutoClassification Live Webinar
Whether your are using paper or online forms, entering data is slow, tedious and error-prone for the data submitter. And […]

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Word of the Day

Algorithm

A mathematical formula placed in software that performs an analysis on a set of data.