Ensure your data is accurate, valid and complete to deliver the trusted data that fuels customer understanding and engagement
Extract, normalize, and standardize your data across multiple inputs and formats.
Normalize all your information – including business and individual data, structured and unstructured.
Precisely applies supervised machine learning neural network-based techniques to understand the structure and variations of different types of information and parses data automatically.
Spectrum Quality is ideally suited for global client bases that require multi-level data standardization and transliteration for multiple languages and culturally specific terms, including those in Arabic, Chinese, Japanese and Korean. Our advanced text-processing enables information extraction from any natural language input text and assigns categories to unstructured text. Using pre-trained models and machine learning based algorithms, you can extract entities and further train and customize your models to define specific entities of any domain or type.
“Spectrum has met and exceeded our expectations in the versatility and flexibility of how it continues to improve our cleanup and duplicate identification processes in an independent, streamlined way.”
Standardize, match, deduplicate, analyze, and consolidate customer information. Understanding individual and business names worldwide is essential to creating an engaging personalized experience while reducing risk and unnecessary cost.
A comprehensive database of family names, given names and variants, ethnicity and gender codes (including Arabic and Asian languages) will enable you to easily identify typing errors, alternate spellings and abbreviations in native and Romanized forms (e.g. in Japan, China and Korea).
Spectrum Quality uses sophisticated phonetic, distance-based, and country-specific algorithms to provide complex business-to-business (B2B) and business-to-consumer (B2C) parsing, data extraction, and flexible global name matching for more than 200 countries with millions of name variations.
Example of customer data quality issues: a simple customer table sample
Correct, approve, and reincorporate exceptions into your data quality process to deliver data your business can trust.
Spectrum Quality has a collaborative user interface that enables effective data management by streamlining the process of manually reviewing exception records.
Spectrum Quality enables you to:
- Evaluate records against a set of conditions to determine if they require manual review
- Write the exception records to the exception repository for review
- Reprocess exception records already corrected by a data steward
- Use the business steward portal – a dashboard of statistics and charts on a browser-based tool
- Use the outcome of your exception handling to fine tune your Smart Quality matching (applied machine learning for better accuracy at lower costs)
You can integrate governance and data quality processes on the front-end with native add-ons for popular CRM and ERP systems: Salesforce, SugarCRM, NetSuite, Microsoft Dynamics, and SAP. While entering data into these applications, you can fix data quality issue, identify duplicates, and improve the overall quality of your existing data to keep it error-free. Because data originates in source systems, ensuring clean data at the start fuels more accurate downstream analysis.
Using Precisely Quality CRM and ERP connectors with Spectrum Global Addressing, you can seamlessly validate and enrich addresses in more than 250 countries. Achieve the highest levels of quality and instant awareness of address deliverability using both postal and non-postal data sources and geocodes so your business can deliver personalized experiences that delight your customers.
Sales growth within 93% of goal in the first year (100% in year two). Double-digit growth overall, with about 50% increase in total retail product sales. Checking account sales during the bank’s annual summer checking campaign increased 48%.