As applications become increasingly data-intensive, developers need faster, easier, more timely access to accurate customer data. Toward that end, leading provider of global contact data quality and identity verification solutionsMelissa recently introduced open-source low-code and commercial tools. It also created a new division that uses semantic technology and machine reasoning to identify relationships in data that were previously undiscoverable.
“We support developers with tools that are easy to access and use,” said Bud Walker,VP of Enterprise Sales at Melissa. “We have a smart, sharp tool approach so developers can just get the address verification they need or take advantage of our matching and merge/purge capabilities. There’ s no need to purchase a monolithic, enterprise-level MDM platform to take advantage of our capabilities.”
Melissa is among the 2018 SD Times 100 for its outstanding contributions to the Database and Data Management category.
Listware Desktop provides an open source option
Listware Desktop is an open-source low-code tool that enables developers to customize data cleaning workflows. Because it’s open-source, developers can version it as their needs dictate or create their own version of the tool on GitHub. Also, instead of paying for a product up front, developers can use Listware Desktop free and only pay for individual transactions.
“Listware Desktop houses a number of our web services within a software interface,” said Walker. “Developers can use it for low-level data cleansing to see how our tools work before doing a more involved integration into their custom applications.”
With Listware Desktop, developers can quickly access Melissa Web services to validate and correct data, interpret result codes and understand how production data can be enhanced with data quality routines. The tool cleans and enriches people and business data by verifying, updating and standardizing global address, email, phone, and name data.Its color-coded reports make it easy to identify how many contact data elements were verified, corrected, or bad and what changes were made to the original data.
Melissa’s new Developer Portal also provides developers with easy access and onboarding of our Web APIs through Swagger UI. “Now our developer community can easily interact with many of our data quality and enrichment Web APIs for testing and easy implementation — and scale successfully as business needs grow and evolve,” Walker said.
UNISON – Next gen data quality platform: Fast, easy, secure
UNISON consolidates all of Melissa’ s on-premises tools into a single platform so organizations can verify and correct data faster, easier and more securely. With it, users can perform complex data quality tasks across multiple RDBMSs, schedule jobs, collaborate on projects and take advantage of powerful data visualizations to thoroughly analyze their datasets.
UNISON reduces implementation time and completely eliminates development time. Administrators can simply install the product on a dedicated server and then integrate UNISON with the company’ s LDAP system to use preexisting logins or create UNISON account logins for data stewards to use.
“UNISON is massively scalable,” said Walker. “You can easily install it across multiple servers so you can scale horizontally and vertically.” UNISON corrects and validates U.S. and Canadian addresses, appends latitude and longitude coordinates and Census data, validates and standardizes email addresses and phone numbers, and validates and parses full names.
“We wanted to make something that was easy for database administrators to use,” said Walker. “A subscription includes access to the datasets you need, and it allows multiple users to script jobs that provide data access at different levels as required for different types of functionality. You can review individual projects, check their status and monitor how you’ re improving data quality over time.”
UNISON is valuable for regulated companies and other organizations that need to guard against sensitive data leakage.
Melissa leverages machine reasoning
Melissa recently acquired semantic technology firm IO Informatics to improve data quality even further with machine reasoning. The resulting operating division, Melissa Informatics, uses semantic technology to uncover deeper data connections within complex, changing data.
“Melissa Informatics provides a faster, easier path to data merging and compatibility with all types of standards,” Walker said. “It harmonizes data to find patterns and relationships that were previously unrecognizable.”
Melissa Informatics’ fuzzy matching and record linkage capability provides entirely new insights. It enables deep dives into CRM or MDM, or even compares multiple customer view platforms to reduce the possibility of false negatives.
Melissa Informatics and all Melissa offerings conform to international laws and regulations including GDPR so it customers can use whatever solution they choose with confidence.
Learn more at www.melissa.com.
Content provided by SD Times and Melissa.
