Melissa Data Publishes Insight on Top Global Data Quality Challenges

Blog Administrator | Address Validation, Address Verification, Analyzing Data, Analyzing Data Quality, Data Quality, Global Data Quality | , , ,

After
30 years in the industry, we’ve seen firsthand what bad data does to good
companies. You’ll be surprised to learn some of the issues companies have with
their data. We’ve collected the top 30 most pervasive data quality issues – and
what you need to know to solve them. Download our free Melissa Data Magazine to
learn more. Also featured: our 2015 Data Quality Catalog, packed with info on
our smart, sharp tools that include free trials, source codes, and unlimited
tech support.

 

Download now!

Melissa Data’s Listware Online Brings Efficient Cloud-Based Data Quality to Business Users

Blog Administrator | Address Quality, Data Cleansing, Data Enhancement, Data Enrichment, Data Quality, Listware Online | , , , ,

Take
the headache out of maintaining clean contact data with our new Listware
Online! With a simple data upload (there’s no software to install), this
Cloud-based service verifies, corrects, and standardizes U.S. and Canadian
addresses, and adds missing name, address, phone, and email information.
Listware Online also enriches your data with additional information, including
lat/long coordinates, property data, census data, and demographic data. Every
month Listware Online users get 1,000 free credits, making it an affordable way
to clean and enrich your data. 


For more info, please visit our website

Melissa Data and Semarchy Partner to Integrate Data Quality and Master Data Management

Blog Administrator | Address Quality, Analyzing Data, Analyzing Data Quality, Data Cleansing, Data Enrichment, Data Governance, Data Integration, Data Management, Data Quality, MDM, Press Release | , , , , ,

Melissa Data Enrichers Enable Clean, Global Contact Data for Semarchy Users; Webinar Demonstrates Best of Breed Strategy for Fast, Optimized MDM Operations

Rancho Santa Margarita, CALIF – November 12, 2014 – Melissa Data, a leading provider of contact data quality and data integration solutions, today formally announced its partnership with Semarchy, a developer of innovative Evolutionary Master Data Management (MDM) software and solutions. Together the two firms are facilitating sophisticated data quality as a key performance enabler of effective MDM operations. Through this partnership, Semarchy offers its users a fast and easy way to perform worldwide address enrichment, standardization, geocoding and verification using Melissa Data’s proven data quality tools and services. In turn, Melissa Data enables its users to upgrade data quality projects, moving beyond tactical processes to engage in a more comprehensive strategy combining data quality, data governance and master data management. Data integrators can learn more in a joint webinar presented by the two firms; click here to access the presentation on demand on Melissa Data’s website.

“Clean, enhanced contact data is essential to enterprise MDM – maximizing the value of applications, empowering sales and marketing, and assuring trusted information as the basis for analysis and reporting,” said Bud Walker, Director of Data Quality Solutions, Melissa Data. “By integrating data quality operations within the Semarchy Convergence ™ platform, we’re supporting users in easily unlocking this kind of high level business value, increasing the quality of supplier, location and customer data within a single de-duplicated 360° view.”

Semarchy Convergence™ for MDM is an integrated platform, available in the cloud or on-premise, enabling ground-up design and implementation of master data management initiatives; using a single tool, developers and data managers can create data models, manage quality, set up match/merge and transformation rules, and build data management applications and workflows. Semarchy Convergence™ now supports Melissa Data Enrichers, validated plug-ins that uniquely enable Semarchy users to verify, clean, correct, standardize, and enrich global customer records including full contact validation for global addresses, phones and emails.

Melissa Data Enrichers enhance the capture of new master records at the point of entry; deployed on-site or via the cloud, these tools eliminate the need for users to build integration between internal MDM systems and data quality processes. Customer records can be enhanced with missing contact data and master data can be appended to include attributes such as geographic coordinates. Users of the Semarchy Convergence™ platform can model any domain, managing data via collaboration workflows, generated user interfaces, or through simple batch processing to clean, standardize and enrich legacy data.

“Our perspective on master data management as an evolving business function recognizes the essential correlation between reliable data and authoritative analytics. By capitalizing on Melissa Data’s proven technologies, Semarchy users can more effectively manage increasingly intelligent applications of global data – consolidating unstructured sources and enriching master data across all their business domains,” said Matthew Dahlman, Technical Director Americas, Semarchy.

Click here for Semarchy Convergence for MDM as a 30-day trial version, and here to begin your free trials of Melissa Data Enrichers for the Semarchy platform. For more information, contact info@semarchy.com, sales@melissadata.com, or call 1-800-MELISSA (635-4772).

News Release Library





Melissa Data, OrderCup and General Medical Team to Present Insight on Data Quality Challenges of International Customer Addresses

Blog Administrator | Address Quality, Address Validation, Address Verification, Analyzing Data, Analyzing Data Quality, Data Cleansing, Data Quality, Global Address Verification, Global Data Quality, International Address Verification, Press Release | , , , , ,

Featured at ‘Growing Global’ Conference, Ecommerce Leaders Discuss Strategies to Reduce Shipping Costs and Fraud Through
Better Customer Data

 

Rancho Santa Margarita, CALIF. – July 9, 2014 – Melissa Data, a leading provider of contact data quality and integration solutions, today announced it is hosting a panel discussion focused on the data quality challenges of global customer data and addressing, slated for July 16 at 2:30 p.m. at the Growing Global industry conference. In addition to Melissa Data, the panel will feature ecommerce leaders OrderCup, a web technology company that streamlines and automates order management and fulfillment for ecommerce companies, and General Medical Company, a medical device manufacturer with more than 250,000 devices sold in over 40 countries. Together the three firms will provide insight on technology tools and strategies used to verify and correct international customer addresses in ecommerce platforms – ensuring smooth business operations with faster, easier order entry, fewer delivery errors and reduced online fraud.

Aloke Nath, co-founder and CEO of OrderCup, as well as Thomas F. Greany, president of General Medical Company, will participate in the presentation. Melissa Data’s Global Address Verification capabilities integrate with OrderCup’s ecommerce platform used by General Medical, providing the engine for real-time data quality in the online shopping interface. Melissa Data also integrates with other ecommerce platforms such as Magento, Shopware and Demandware, enabling online merchants to verify and correct addresses as they are entered, validating information from more than 240 countries and territories in real-time.

“Address data is delivery data, and maintaining its accuracy ensures the best online experience for both shopper and merchant. Yet the data can differ significantly from country to region, territory or prefecture, and may even be stored in different languages or character sets. This creates a significant, ongoing challenge for global business relying on customer data as the foundation for growth and profitability,” said Charles Gaddy, director of global sales and alliances, Melissa Data. “Data quality is job one and must be managed with a global perspective – for ecommerce platforms, that means integrating smart tools that eliminate bad data at the source and before it permeates business operations.”

The panel event is titled “Getting the Package Delivered,” and will offer a broad look at international address requirements. Using automated, integrated data quality tools, online merchants can instantly validate and cleanse international addresses, correcting and standardizing them into the official postal format of each geographic locale, and adding missing components such as postal codes or region.

The Growing Global conference takes place July 15-16, 2014 at the Renaissance Long Beach Hotel in Long Beach, California.

Managing Customer Connectivity

Blog Administrator | Analyzing Data, Analyzing Data Quality, Customer Centricity, Data Management, Data Quality | , , , , , , , , ,

By David Loshin

At the end of our last entry, we had come to the conclusion that standardization of potentially variant data values was a key activator for evaluating record similarity when looking to group customer records together based on any set of characteristic attributes. From an operational standpoint, this activity is supported using data quality tools that can parse and standardize data.

But the process must go beyond the purchase and use of the tools. For any
customer centricity program in which connectivity is relevant, there are going
to be multiple dimensions of connectivity employed in business decisions. We can
immediately fall back on my original example of the “household” grouping, and
depending on the objectives for customer outreach and experience, other groups
will be overlaid with each other.

Here is a clear example that builds on my post from a few weeks back. We
originally suggested that the household was relevant for mobile telephone
companies looking to expand residential customer commitment though increased
product sales and service contracts within the household, since one
decision-maker might be responsible for adding new lines and services.

That same mobile telephone company might also look at their business-to-business
relationships and look to expand their footprint among business customers,
suggesting a new grouping of customers based on their employer.

Overlaying the households and the corporate customers would provide a picture of
companies existing brand predispositions among the employees. Identifying the
key corporate decision makers and offering combined business and residential
account discounts might be a good way to exploit knowledge of overlapping
connected groups.

The result is that the analysis not only depends on good quality data, it
assumes that good processes are in place for managing the hierarchy data that
maps individuals into groups – an example of what could be called metadata
quality. Keeping hierarchies of concepts, data attributes, and mappings among
individuals based on those hierarchical attributes (and of course, similarity
scoring for linkage!) is a valuable skill, one that we will revisit in upcoming
series of posts…