Dark Data Feeder

Dark Data Feeder

Good decisions are made with good data and better decisions are made with more good data.  More good, accurate data is trapped in the documents stored within ECM systems as static invoices, bills, statements, explanations of benefits, etc.  The data trapped within these documents can be used to describe buying patterns, travel history, health and disease progression as well as other socio-economic and geo-economic events and processes.

Confucius said, “Study the past, if you would divine the future.” More contemporarily, Carl Sagan said, “You have to know the past to understand the present.” Regardless, the only reasonable way to predict the future is to understand the past and the only way to understand is to have the data. There are years, if not decades of data trapped within documents stored in CMOD and other ECM platforms. Now there is a way to quickly and easily extract the data for use in analytics and business intelligence systems.

Dark Data Feeder Advantages

CrawfordTech's Dark Data Feeder is a purpose-built application that allows knowledge workers to specify a set of documents from which data will be extracted. This can be hundreds of thousands to millions of invoices, statements and bills. The documents are retrieved from the archive and automatically passed to the data extraction module.

Using business rules, Dark Data Feeder extracts all of the pertinent data from these documents and creates CSV, XML or other data formats for easy inclusion in your Big Data and Analytics initiatives.

Data stored in archived documents, often referred to as “Dark Data” is often not available in any other format but represents a priceless source of information for big data and analytic purposes. Crawford’s Dark Data Feeder turns the ECM repository into a document warehouse and lets organizations further leverage CMOD and other ECM platforms as a source of this invaluable information.

Image for Meeting Regulatory Compliance in Banking

Meeting Regulatory Compliance in Banking

A large retail bank needed to demonstrate their compliance with banking regulations by providing a comprehensive analysis of its previous 10 years of customer credit card statements, representing over 50 million issued cards. They used CrawfordTech solutions to automatically convert, identify, extract and re-purpose the necessary information to prove compliance and gain valuable insights into their customers’ behavior.

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