For decades, organizations have struggled with the need to extract business-critical data from unstructured sources to drive better decision-making. Human effort cannot match the volume of information in business today, and technology solutions have been unable to fill the gap … until now.

Do a Google search for "smart business apps" and you'll come up with about 135 million results. Today's businesses are craving solutions that will help them make better sense of their data to enable more intelligent decision-making.

First, that data has to be gathered in a usable format. Information that's already stored in databases (structured information) can be imported directly … but most companies also have reams of valuable data locked away in unstructured sources such as contracts, leases, emails, and customer surveys. For many years, they relied on slow, tedious manual reviews to extract this data. But now ABBYY is offering a better way.

Apps that Understand Your Language

We created ABBYY InfoExtractor SDK and ABBYY Smart Classifier specifically to help you turn your unstructured information into powerful business assets — faster, more accurately, and more reliably than they ever could with human effort. Thanks to ABBYY’s Compreno natural language processing technology, these powerful solutions can "understand" the language of specific business processes and extract relevant information no matter how it's presented.

“Companies have been left in the dark for far too long, unable to harness the full power of their data,” said David Bayer, ABBYY’s vice president, Compreno Suite. "This isn’t due to a lack for trying; it’s because they’ve lacked the capability to extract the facts and story lines embedded in unstructured information."

Smart Apps for Any Industry

The Compreno suite of products can be customised to adapt to the language of any industry, including oil and gas, insurance, healthcare, financial services, and government.

"Many of our customers are facing shrinking margins, making it critical that they identify and exploit every process improvement and efficiency possible," notes Nick Vandivere, president at Agile Upstream, a value added reseller that equips the upstream oil and gas industry with software and services.

“ABBYY’s Compreno-based products allow us to deliver greater value by helping customers derive deeper understanding from complex documents without it being a manually intensive endeavour, arriving at critical decisions and realizations more quickly and ensuring maximum ROI.”

A Better Way to Extract and Classify Information

ABBYY InfoExtractor is a powerful software development kit (SDK) that enables enterprises as well as software developers to automatically identify and extract entities and relationships from complex text documents. 

ABBYY Smart Classifier is a powerful, intuitive classification application module that enables enterprises and software developers to overcome implementation and usage complexities that have hindered widespread adoption of classification technology, causing it to remain more of an art form than a trusted, easy-to-deploy capability.

At the heart of each solution is ABBYY Compreno, the industry’s most comprehensive language-based technology for smart business process applications. Compreno surpasses traditional capture and text analytic solutions by understanding contextualized word meanings, facts, and story lines within business-critical text.

For organizations struggling to extract information from unstructured sources, we created ABBYY InfoExtractor and ABBYY Smart Classifier. Unlike other apps that analyze text using rule-based algorithms, these solutions achieve a deeper level of understanding, allowing companies to extract and classify data in a way that streamlines processes, lowers overall costs, and enables smarter decision making.

To learn more about the Compreno suite of products, visit the ABBYY InfoExtractor and ABBYY Smart Classifier pages.

Daisy Marcelo is Marketing Programs Manager with ABBYY USA

Originally published at http://www.textandcontext.com/blog