Business Intelligence

Machine translation and voice transcription solutions boost business intelligence by rapidly converting and analyzing vast amounts of multilingual data, thereby enhancing insights.

Unlock In-depth Business Insights

Analyzing data from diverse sources is a major challenge for business decision-makers, especially when dealing with multiple languages. Lingvanex offers an innovative solution by seamlessly integrating advanced translation tools into your existing workflow, empowering you to effortlessly analyze and synthesize all your data, regardless of language or format.

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How Can Lingvanex Help You?

Building customer loyalty

Multilingual Data Processing

Translate foreign language data, allowing for comprehensive analysis and insights.

Creates Competitive Edge

Brand Watch

Converting multilingual content and online mentions to text helps monitor global brand perception and analyze your target audience.

Creates Competitive Edge

Making Digests

Summarization helps in making digests by condensing information into concise, easily digestible formats for quick understanding and review.

More Business Agility

Global Market Analysis

Machine translation facilitates the analysis of international market trends by leveraging foreign reports and articles, thereby expanding the scope of business intelligence.

Identify Training Opportunities

Automated Report Generation

Generative AI can create concise and detailed business reports from large datasets, saving time and enhancing reporting accuracy.

Identify Training Opportunities

Sentiment Analysis

Analyzing multilingual text to determine emotional tone, classifying it as positive, negative, or neutral feedback. - на - Analyzing multilingual text to assess its emotional tone, categorizing it as positive, negative, or neutral feedback.

Where Might You Need Lingvanex Solutions?

Finance

AI-powered language tools extract insights from financial reports, analyze market trends, and monitor news for risk assessment. Sentiment analysis evaluates public sentiment, while summarization condenses lengthy reports, and named entity recognition identifies critical entities like companies, transactions, or individuals for actionable business intelligence.

Finance

Legal

Language technologies streamline legal research by analyzing contracts and case law for key information. Speech transcription converts court proceedings into searchable text, summarization simplifies lengthy documents, and data anonymization ensures compliance. These tools empower better decision-making and improve efficiency in managing legal documentation.

Legal

Marketing

Language solutions enhance business intelligence by analyzing customer sentiment from reviews and social media. Machine translation enables global campaign localization, while text generation assists in crafting personalized content. Insights from named entity recognition identify trends, competitors, and audience preferences, optimizing marketing strategies.

Marketing

E-commerce

Intelligent tools analyze customer feedback, identify trends, and enhance user experience with personalized recommendations. Machine translation localizes product descriptions, while sentiment analysis evaluates reviews to refine offerings. AI chatbots improve support efficiency, and summarization streamlines analysis of customer data for strategic decision-making.

E-commerce

Сase Studies

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E-Commerce Marketplace: Summarization for Actionable Customer Feedbac

E-Commerce Marketplace: Summarization for Actionable Customer Feedbac

Customer Support Center: Enhanced Analytics

Customer Support Center: Enhanced Analytics

Investment Company: Translation for Accurate Analysis

Investment Company: Translation for Accurate Analysis

Suggested Reading

What Is Sentiment Analysis

What Is Sentiment Analysis

What Is Named Entity Recognition (NER)?

What Is Named Entity Recognition (NER)?

What Is Summarization?

What Is Summarization?

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