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Solving the Unstructured Data Puzzle with Analytics

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Solving the Unstructured Data Puzzle with Analytics SOLVING THE UNSTRUCTURED SOLUTION OVERVIEW DATA PUZZLE WITH ANALYTICS Solving the Unstructured Data Puzzle with Analytics OpenText™ Information Hub in concert with OpenText™ InfoFusion™ creates a fast, powerful, innovative way to realize the promise of big data analysis. Unstructured data is a wellspring of valuable BUSINESS BENEFITS information. To derive its true value, users need to • Unique insights into consumer visually monitor, compare, and discover interesting sentiment and other hard-to facts about their business data. A useful solution will -spot patterns • Easy mining of many types of collect, sift, and correlate text from thousands of unstructured data, including emails, emails, PDFs, and other data sources into meaningful, documents, and social media feeds visual, and highly interactive dashboards that • Scalability to handle terabytes of synthesize findings across products, topics, events, data and millions of users and devices • Open APIs, including JavaScript and even the theme or sentiment of the document. API (JSAPI) and REST allow for smooth integration with enterprise applications What Is This? • Time to deployment in hours The OpenText™ solution for unstructured data analytics is a powerful, effective answer to instead of months the need to make sense of huge volumes of unstructured data, an increasingly common business requirement across all industries. Modern digital organizations are looking to • Built-in integration with industry- their unstructured data to help make business decisions, such as determining user or leading OpenText solutions for consumer sentiment, cooperating with discovery requirements, assessing risk, and content management, e-discovery, personalizing their products for customers. visualization, archiving, and more These organizations face fundamental challenges, as most traditional databases and data visualization tools only deal with structured data. Deep experience in natural language processing and data visualization powers the OpenText unstructured data analytics solution. ENTERPRISE INFORMATION MANAGEMENT SOLVING THE UNSTRUCTURED SOLUTION OVERVIEW DATA PUZZLE WITH ANALYTICS How It Works Additionally, these sources can be combined with structured data to provide extremely valuable context — such as combining OpenText Unstructured Data Analysis Methodology brand social sentiment from Twitter with product launch campaign results from a CRM application, giving unparalleled insight to the success of a launch. OTe Users can interactively scrutinize a single document or compare it ANY to a broad set of text sources based on mentions across topics, history, geography, or sentiment. See what customers or employ- PD RSS ees are saying, and which are the most subjective. Track what happens after a customer makes a controversial remark about a product. What is the media reaction to a major world event? How has a given issue gained or lost importance over time? OTe I v Here are a few examples of how OpenText enables businesses to solve their unstructured data analysis needs: a xtr BUSINESS NEED SOLUTION Marketers: We need to Draw data from online content such as analyze social content and blogs, web sites, and surveys, as well V understand customer senti- as social media apps, such as Twitter, ment toward our products LinkedIn, Flickr, and more; even merge it v and services. We want to with structured data from CRM systems deploy OTe I H visualize positive or negative and relational databases to yield valuable trends in real time. insight into the overall tone and consum- ers’ specific opinions of their brand. V Legal Department: We Review user-friendly visual summaries H S API need to quickly understand of mentions and tone about any topic, the context and sentiment person, place, or organization contained in of large volumes of legal the text of the documents. Using interac- documents, often number- tive dashboards, analysts can quickly U activ ing in the thousands (PDF, classify thousands of documents at once, v Microsoft® Word, and instantly target specific content ® Microsoft Excel, etc.) relevant to their case. IT/Data Directors: We need View unstructured data from corporate to organize and govern ALL email, instant messaging, company blogs, data within an enterprise, and document archives in combination not just the structured with structured data from enterprise sources. systems in a real-time dashboard to What Problems Can This Solve? analyze and understand the overall corpo- We set out to create a solution that could visualize sentiment in rate data usage and footprint. IT directors text from a variety of unstructured sources. Unlike other tools that can manage the enterprise digital ecosys- rely on metadata, which can be unreliable or artificially manipu- tem more efficiently, with more tools to lated, the Unstructured Data Analysis digs deep into any unstruc- ensure and enforce data governance. tured source, including social, email, PDF, RSS feeds and blogs. Want to see this solution in action? Election Tracker ‘16 — President Election M nalysis HOW IT WORKS ? Unstructured Data Analytics powered by 6 Ke S Last 31 days W Trending? Powered by OpenText, is an online application that allows users to visually 20% ast o o articles 4,738 45% Most popular keywords: isualie 31 o o positie articles* 687 Trup reugee deate Days o o negatie articles* 989 35% Most popular state: isualie o o neutral articles* 3062 e Yor monitor, compare, and discover interesting facts about the 2016 U.S. * How is the sentiment of an article determined? LEARN MORE ? FILTER Top candidates by media mentions Candidate Mentions Sentiment breakdown Bernie anders 67,000 31% 11% 58% Presidential Election coverage from the world’s top online news agencies. 1 Democrat Donald Trup 57,000 % % % 2 Republican and aul 47,000 % % % 3 Republican See what all the buzz is about on the Election Tracker ‘16: www.opentext.com/campaigns/analytics-election-tracker-16 www.opentext.com/contact Copyright © 2016 Open Text SA or Open Text ULC (in Canada). All rights reserved. Trademarks owned by Open Text SA or Open Text ULC (in Canada). (03/2016)04501.ENrev3.
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