Character Mapper Overview Example Workflow

<p><strong>Character Mapper Overview</strong></p><p>This workflow demonstrates how to prepare, normalize, and match text data using the <strong>Exorbyte MatchMaker Extension</strong> for KNIME.<br>It provides a complete walkthrough — from <strong>licensing setup</strong> to <strong>data normalization and fuzzy matching</strong> — showcasing how the <strong>Character Mapper (Labs)</strong> node enhances data consistency and match accuracy across multiple scenarios.</p><p>🔍 <strong>Overview</strong></p><p>Real-world data often contains <strong>accents, umlauts, mixed casing, punctuation, or non-Latin scripts</strong>, making record linkage and search unreliable.<br>The <strong>Character Mapper (Labs)</strong> node standardizes these text fields by applying configurable normalization rules.<br>The workflow shows how to apply this normalization to different types of data and how it integrates with downstream <strong>Approximate Matching</strong> and <strong>Indexing</strong> nodes.</p><p>🧱 <strong>Sections in this Workflow</strong></p><ol><li><p><strong>How to Get Your License</strong><br>Request, register, and activate your Exorbyte MatchMaker license using the <strong>License Requester</strong> and <strong>License Activator</strong> nodes.</p></li><li><p><strong>Normalize Customer Names</strong><br>Unify spelling variants caused by accents or umlauts to improve matching in customer databases.</p></li><li><p><strong>Normalize Addresses</strong><br>Clean whitespace, newlines, and accents for consistent formatting and easier grouping.</p></li><li><p><strong>Normalize Product Names &amp; Currencies</strong><br>Convert symbols and currency signs into standardized formats to align product data across systems.</p></li><li><p><strong>Normalize Supplier Names (Any-to-Latin Transliteration)</strong><br>Transliterate non-Latin scripts (e.g., Cyrillic) and remove diacritics for multilingual data normalization.</p></li><li><p><strong>Character Mapper + Approximate String Matcher</strong><br>Combine normalization with fuzzy matching for accent- and spelling-tolerant comparisons between names.<br></p><p><strong>Contact us</strong><br> Website: https://www.exorbyte.com <br> Email: consulting@exorbyte.com</p></li></ol>