Mesh Labs Introduction June 2012
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Meshlabs provides advanced text analytics solutions to extract insights from large volumes of unstructured and structured data, addressing challenges in customer insights and operational efficiency. The software enables organizations to automate analysis processes, enhance productivity, and improve decision-making through tools like sentiment analysis and dashboards. It supports various data sources and integration options for comprehensive content processing and analysis.
Mesh Labs Introduction June 2012
- 1. MeshLabs Text Analytics © 2012 MeshLabs Software Private Limited
- 2. INTRODUCTION Making Text Analytics Easy to Solve Complex Problems 2
- 4. And Not a Single Insight. Too much volume and variety Missed Opportunities Multiple Channels, Topline and Sources and Types Bottom-line Impact Cost / Quality concerns Current BI tools won’t work over manual methods Structured data Limited Analysis, only and too Product Managers Ad hoc, Scalability complicated Customer Insight Managers Issues Research Analysts Customer Care Reps Sales & Marketing Leaders HR Leaders Senior Executives 4
- 5. Text Analytics powerful technology Semantics to automatically… Statistics Linguistics 1 Ingest all text data/content 2 Extract valuable assets 3 Deliver actionable insights 5
- 6. Our Product Custom Solutions Search Interface Dashboards APIs • On-Premise • SaaS • API eZi Semantic eZi Sentiment eZi Reco ™ Search ™ Analyzer ™ MeshLabs eZi CORE ™ Unified Semantic Index / Triple Store POS Entity Rules Inference / Tagging Extractor Classifier Clustering Engine Reasoner eZi Connectors ™ and Crawlers Microsoft SharePoint, Outlook, Alfresco Enterprise Content Web Content 6
- 7. How it Works Gather your data – Text 1 Connectors to Enterprise Content Stores, (Unstructured) and Facebook, Twitter etc. Structured Crawlers for getting data from websites Upload files & documents – Excel, Word, PDF etc. Process your data – 2 NLP – Natural Language Processing Extract Taxonomies & Custom Ontologies entities, classify, cluster, a Machine Learning nd score sentiment Analyze output - 3 Dashboards dashboards, reports, work Charts & Reports flows, and alerts Exports 7
- 8. Problems we have solved Opinion Auto- Intelligent Mining Categorization Agents “ How do I gain “ With so much “ As a actionable information retailer, how do I insights from overload, how display market & do I transform categorized customer the effectiveness listings in the interactions of my most efficient across channels? knowledge manner? “ ” workers? “ 8
- 9. Case Study • How to systematically mine large volume of consumer opinion on leading brands from social media Challenge and other online channels… • How to transform analyst productivity – do more in less time and cost… • Developed Analyst Workbench solution powered by MeshLabs eZi CORE™ Text Analytics Engine to process vast amounts of content Solution • Sentiment analysis, feature detection, entity extraction, content categorization, faceted search • Standardized workflows and processes • Dashboards and advanced reporting features for better analytics • Increased execution and delivery speed Benefits • Complete Automation - Elimination of manual and laborious processes • Reduced costs through significant productivity gains 9
- 10. Ready? Points to Ponder Category Questions Business Insights: Knowing “what” but not the “why”: Do you often feel that you run into Challenges problems that you know of, but have hard time discovering “why”? E.g. Increase in customer complaints, but have hard time explaining why? Repeating Mistakes and Recreating Solutions: Fairly common in service organizations. Findability: Can your customers, employees, and partners find the content they want? Compliance Concerns: Is your business regulated? Do you have compliance burden that you are unable to meet? Volume How much text data/content do you have? # of documents, articles, verbatims, call center notes, problem records – average size in MB, GB etc. Velocity How frequently does your data change - by the minute, hourly, daily etc.? Variety What types of data do you have? From what sources and channels? Process Who is responsible for analysis? Do you have enough skilled resources? Is the process Control too complex? Are you satisfied with the speed and quality? What is the overall cost? What is the data lifecycle ? 10
- 11. About US Provider of text analytics software products Unified Content Access Entity Extraction / Tagging Categorization Summarization Recommendation On-premise Faceted Search SaaS Sentiment Analysis API Dashboard & Reporting Information Management | Customer Experience Management | Business Intelligence | Regulatory Compliance Featured Customers: 11
- 12. Contact Us www.meshlabsinc.com [email protected] @meshlabs linkedin.com/company/meshlabs facebook.com/meshlabs USA: 1-602-617-9370 | India: 91-89718 20925 12