You need to achieve better, faster matching accuracy at lower costs. Accurate, efficient entity resolution is essential to data quality. Now you can simplify, streamline, and automate by combining machine learning with human expertise, all with less reliance on IT. You can also accelerate the matching process and shorten the match-tuning exercise from weeks to days.
Present business users with data in the form they understand best. With smart data quality capabilities, they can verify if the machine learning model is suggesting the right match decisions with just a few clicks.
Boost your entity resolution process and put your business users in control with:
- Predictive machine learning algorithms that automatically adjust via expert inputs so they always improve;
- Fast time-to-value: Instantly reduce tuning iterations;
- Limited IT involvement with automatic match key and match rule generation;
- Continuous model training with Spectrum’s smart data quality linked with Spectrum’s stewardship capabilities provides access for data stewards to evolve existing match rules with a push of a button.
Discover our business-user-friendly interface and our intuitive, four-step process:
- Select source: Upload your data.
- Select columns: Choose columns from your data required for finding duplicates.
- Tag records: Analyze record pairs and categorize them as Match, Non-Match, or Unsure per your business use case
- Analyze results: Based on the selections made in previous steps, match rule and potential match keys are generated
As organizations look to achieve higher levels of data accuracy to drive business decisions, they need to apply consistent, effective data cleansing and enrichment to produce the consistent, high quality entity data your business desires.
Use cases such as detecting fraud, predictive analytics, omni-channel marketing, risk assessment, or better B2B relationships often require additional data such as demographics, firmographics and location intelligence to be matched and linked to existing entities to identify and minimize risk, improve customer engagement, reduce costs and optimize processing.
Your business success depends on accurate data for the right insights, whether for a single view of critical business data, fraud detection, or predictive analytics. But as data volumes grow, it becomes a significant challenge to understand, measure, match and resolve the entities within that data, including ensuring its quality and fitness-for-purpose.
Inaccurate, incomplete and missing data diminishes your ability to achieve the precise and accurate data matching needed to achieve high quality customer experiences, operational efficiency, or to detect and predict fraud.
Precisely Spectrum Quality solutions help you address and resolve key data matching challenges. Data profiling and business rules provide upfront understanding of data content and quality, including which data might be used for match keys that segment the data for each match pass, and which data should be compared and scored to identify common entities.
Additionally, business rules can be built to continue assessing the quality of these key fields over time. As issues are identified, capabilities to cleanse, enrich, match, and consolidate your data help you improve data quality and provide accurate, effective data for multiple use cases.
Your business success depends on accurate data for the right insights whether for a single customer view, fraud detection or predictive analytics. But as data volumes grow, it becomes a significant challenge to understand, measure, match and resolve the entities within that data, including ensuring its quality and fitness-for-purpose. Inaccurate, incomplete and missing data diminishes your ability to achieve the precise and accurate data matching needed to achieve high quality customer experiences, operational efficiency, or to detect and predict fraud.
Precisely data quality solutions help you address and resolve key data-matching challenges. Data profiling and business rules provide upfront understanding of data content and quality, including which data might be used for match keys that segment the data for each match pass and which data should be compared and scored to identify common entities. Additionally, business rules can be built to continue assessing the quality of these key fields over time. As issues are identified, capabilities to cleanse, enrich, match and consolidate data help you improve data quality and provide accurate, effective data for multiple use cases.
Our solutions are designed to implement data-matching processes that scale to your business needs quickly, easily, and with collaboration between IT and business teams. Through innovative software, global address validation and data enrichment, robust data matching with a broad array of configurable match algorithms, and a proven methodology, you can rapidly design and deploy entity resolution solutions in batch or real-time throughout your enterprise as part of your applications and data integration pipelines.
Deploy entity resolution and data matching when and where needed with the scalability offered in Trillium’s big data solutions to deliver high-value entity resolution faster, helping meet critical Service Level Agreements.
Take full advantage of the business value of cloud-native platforms with industry-leading data profiling and data quality, with the scalability and performance you need for your largest data volumes, to deliver trusted business applications.
For over two decades, Precisely has been recognized as a leader in the data quality market. Our innovative technology and unmatched subject matter expertise enable us to help customers solve their most complex data challenges. Our pragmatic approach focuses on delivering business value in the short term and ensuring sustained value in the long term.