Powerful Features Support Developers with Enriched, De-Duplicated Customer Records; Combats Exponential Increase in Costly Data Decay, Highlighted in Company Magazine

Rancho Santa Margarita, CALIF. - October 29, 2014 - Melissa Data, a leading provider of global contact data quality and data enrichment solutions, today announced significant enhancements to its flagship Data Quality Components for SQL Server Integration Services (SSIS), including the addition of three new services: global email, global phone verification, and U.S. property data enrichment. Data Quality Components for SSIS is a suite of custom data cleansing transformation components for Microsoft SSIS, used to standardize, verify, correct, consolidate and update contact data. With these new features, developers and DBAs are positioned to verify, enrich and retain all the best pieces of global customer data, using a single comprehensive and proven data quality tool.

New to the suite of tools is global email verification, which includes real-time email mailbox verification to eliminate up to 95 percent of invalid emails, so emails get delivered and don't bounce. Global phone numbers from over 230 countries can be verified and appended with geographic information, such as latitude and longitude coordinates, administrative area and predominant language spoken in that region. In addition, global phone features include the ability to return the digits necessary to dial out of your country and into the country of the phone number that was input. For users seeking to enrich U.S. address data, the property feature will provide up-to-date property and mortgage information on more than 140 million properties to improve overall customer intelligence.

"Contact data is always in flux, in fact, half of the customer records held in the average database are invalid or out-of-date in just 45 months - what we call the half-life of data," said Bud Walker, director of data quality solutions, Melissa Data. "Particularly as data becomes more global and increasingly includes email as a critical path of contact, database design must incorporate flexible, scalable tools that rely on a comprehensive approach to managing constant changes in customer data."

Melissa Data's research into the half-life of data, including the operation and long-term costs associated with undeliverable shipments, low customer retention and unsuccessful CRM initiatives, along with other SQL-based data quality challenges are featured in the current issue of Melissa Data Magazine, the company's quarterly resource for DBAs and data quality developers.

Melissa Data Magazine will be available at PASS Summit 2014, Booth #407, starting November 4 in Seattle, Washington. Click here to download the SQL Server edition of Melissa Data Magazine, or call 1-800-MELISSA (635-4772) for more information.

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Attendees Can Test Drive Cloud-Based Tools for Data Cleansing, Identity Verification and Fraud Prevention


Rancho Santa Margarita, CALIF - October 14, 2014 - Melissa Data, a leading provider of contact data quality and direct marketing solutions, is demonstrating cloud-based data quality tools and services at DMA2014 booth #1214. Optimized for marketers seeking a single, 360° view of their worldwide customer, Melissa Data's proven technologies fuel data-driven campaigns with corrected, validated and enriched customer records. Demos include:

  • SmartMover® - a cloud-based NCOA service increasing mail deliverability through both U.S. & Canadian change-of-address processing. SmartMover accesses more than 170 million change-of-address records, including USPS® NCOALink® and Canada Post NCOA.

  • LeadGen Xpress - a collection of Web-based mailing list leads for private in-house use or as a portal for customers to make custom list selections. Flexible list targeting offers value to high-volume list buyers and brokers, mailing houses, printers and franchised corporations.

  • Express Entry® - an address auto-completion service, eliminating bad data at the source by validating addresses as they are entered. Ideal for CRM, call center and e-commerce applications, users save time with fewer keystrokes and reduce costs with 100 percent accurate addresses for more than 240 countries.

  • Listware® - a simple plug-in for Excel and Salesforce, designed to clean and enrich customer data. Users have unprecedented access to real-time data quality, enabling more intelligent applications in CRM settings.

  • Personator® - an all-in-one Web service for contact data checking, verification, move update, and appending missing customer data. Full-contact record correction and verification of names, addresses, phone numbers, and emails helps prevents fraud, and reduces shipping errors and fees.

Visit Melissa Data at DMA2014 Booth #1214 at the San Diego Convention Center, from Sunday, October 26 through Tuesday, October 28, 2014.

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PentahoWorld Presentation Details Data Blending Practices to Ensure Meaningful Intelligence


Rancho Santa Margarita, CALIF - October 1, 2014 - Melissa Data, a leading provider of contact data quality and data enrichment solutions, today advocated data quality practices as critical to maintaining the validity and power of Big Data analytics. The firm will provide details in a PentahoWorld training presentation slated for October 10 at 8:00 a.m. as part of the conference's Big Data Today breakout session. Melissa Data's training session will examine the essential correlation between reliable data and authoritative analytics, including the Big Data imperative of standardizing and validating distinct customer records from aggregated, unstructured data.

Analytics is the leading use case for Big Data - it capitalizes on the ability to process huge datasets quickly and economically, yet Big Data simultaneously introduces data quality challenges. If garbage in the form of bad data is fed through an enterprise's Big Data machine, the resulting analytics and insight are flawed, outcomes are compromised and business value negated. Up to 60 percent of IT leaders report a lack of accountability for data quality, with more than 50 percent doubting the overall validity of the data itself.

"Enterprise operations rely on understanding data relationships uncovered by Big Data. Data quality processes must be applied to ensure reliability of the distinct customer records that drive these analytics - fueling improved business intelligence or fraud prevention, understanding customer sentiment or even seeking out medical cures," said Charles Gaddy, director of global sales and alliances, Melissa Data.

Because the unstructured data used for Big Data analytics comes from a variety of sources, its supporting data quality processes are more imperative than those required to handle small relational data. By matching duplicates from multiple data sources, data mangers can create a golden record - a single version of the truth. This information can then be blended with multi-sourced reference data, for instance adding precise lat/long coordinates to a customer address, or demographic data that enriches and heightens insight. "The result is real business intelligence based on validated data, optimized for Big Data analytics and based on a 360° view of the customer," added Gaddy.

Melissa Data's training session is titled "Using Reference Data Sources and Data Quality Practices with Big Data." It will briefly explore data quality processes such as entity extraction used to identify customer and other structured data points from unstructured data, and Big Data blending with authoritative customer information.

PentahoWorld 2014 takes place October 8-10, 2014 at The Hilton Bonnet Creek in Orlando, Florida. Visit www.MelissaData.com, or call 1-800-MELISSA (635-4772) for more information.

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Ever wanted to know how to solve the most common data quality problems using Data Quality Services? Find out in this article by one of our MVP's Paras Doshi.

http://www.solidq.com/solve-common-data-quality-problems-using-data-quality-services-part-2/

Melissa Data Teams with V3Gate for Government Market Expansion

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Partnership Supports Federal, State and Local Agencies in Meeting Big Data Missions, Enhances Public Sector IT Deployments with Integrated Data Quality


Rancho Santa Margarita, CALIF - September 17, 2014 - Melissa Data, a leading provider of contact data quality and data integration solutions, today announced its strategic relationship with V3Gate, an established IT solutions provider to the federal government. The relationship between Melissa Data and V3Gate expands Melissa Data's public sector market dramatically, while enhancing V3Gate's big data capabilities with integrated data quality tools and solutions. Together the two firms will actively target business growth in federal, state and local government sectors, offering cutting-edge IT solutions that support high-level public agencies in achieving their diverse missions.

V3Gate is a certified service-disabled veteran owned small business (SDVOSB) with a primary focus on implementing emerging technologies; the company supports both commercial and government entities with innovative infrastructure solutions that reduce costs, increase efficiencies and create a flexible, high performance IT environment. V3Gate will complement its portfolio of big data solutions with Melissa Data's comprehensive suite of on-site and cloud-based data quality technologies, including its integrated data quality Web service designed to provide real-time fraud prevention and identity verification.

"Public sector business is essential to Melissa Data's long-term growth strategy, and we value V3Gate as a reliable and experienced Beltway partner," said Gary Van Roekel, COO, Melissa Data. "We're not only accelerating our market presence - together we're enabling powerful data performance for the government user through global data cleansing capabilities and sophisticated identity management tools."

"V3Gate's partnership with Melissa Data allows us to offer a seamless data quality advantage, aligning well with our focus on emerging technologies and big data," said Guy Nielsen, executive vice president, V3Gate. "With the addition of proven data quality and identity management tools, our hardware-software solution set is very well-rounded. Our customers will see significant value from maintaining advanced data quality as a foundation for successful missions."

Melissa Data and V3Gate will capitalize on their combined sales organizations to execute a joint go-to-market plan with a near-term focus on Homeland Security, Department of Defense, Health and Human Services, and the Department of Veterans Affairs.

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New Company Magazine Features Data Quality Insights on Merging Duplicate Patient Records into a Golden Record, also Tips on Improving Healthcare Data Warehousing


Rancho Santa Margarita, CALIF. - September 9, 2014 - Melissa Data, a leading provider of global contact data quality and data enrichment solutions, today announced matching and de-duping functionality that solves duplicate records for healthcare database administrators (DBAs). Using tools based on proprietary logic from Melissa Data, healthcare DBAs can consolidate duplicate customer records objectively, unlike any other data quality solution. This and other healthcare data quality challenges are featured in Melissa Data Magazine, the company's new quarterly resource for DBAs and data quality developers.

Healthcare data is characterized by a steady stream of patient records and evolving contact points, warranting a smart, consistent method to determine the best contact information. Melissa Data Magazine highlights a new way to merge duplicate records, based on a unique data quality score that retains the best pieces of data from all of the various records.

"It's essential that healthcare data managers acknowledge data quality challenges up front, implementing processes to cleanse and maintain the trustworthiness of the information that goes into their master data systems," said Bud Walker, director of data quality solutions, Melissa Data. "Our new publication outlines how to ensure this high level of data precision, creating an accurate, single view of the patient. This is known as the Golden Record and is of critical value in healthcare settings - reducing costs, streamlining business operations and improving patient care."

Highlighting industry-specific data quality tools and solutions, Melissa Data Magazine will help DBAs and health information managers adapt to evolving challenges particularly as data becomes more global in nature. Future published issues will feature technologies such as SQL Server development tools, and markets such as retail, ecommerce, government and real estate.

Melissa Data Magazine will be available at the American Health Information Management Association (AHIMA) conference, Booth #723, starting September 27 in San Diego, Calif. Click here to download the healthcare issue of Melissa Data Magazine, or call 1-800-MELISSA (635-4772) for more information.

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SmartMover Updates Business and Individual Addresses; Ensures Compliance with New Canadian Mail Laws Requiring In-Country NCOA Processing


Rancho Santa Margarita, CALIF. - August 12, 2014 - Melissa Data, a leading provider of contact data quality and data enrichment solutions, today announced SmartMover, its cloud-based NCOA service, now provides Canadian change-of-address processing, as well as U.S. address updates for individuals, families, and companies that have recently moved. SmartMover compares address data in real time*, updating existing customer information against more than 160 million address changes recorded in the USPS® NCOALink® (National Change of Address) database, representing permanent change-of-address records filed in the U.S. within the last 48 months. SmartMover also matches data against over 10 million change-of-address records filed by Canadian households and businesses within the last 72 months. SmartMover complies with Canada's new licensing regulation requiring NCOA processing to be handled on Canadian soil.

"More than 40 million individuals, families and businesses move annually in the U.S. alone, about 14 percent of the country's population. For mailers and data processors, maintaining current address information in such a dynamic environment presents a significant challenge and warrants a data quality strategy optimized to reduce costs and undeliverable mail," said Chris Rowe, VP of Data Enhancement Services at Melissa Data. "Melissa Data is one of only 13 vendors licensed by Canada Post to provide Canadian NCOA so mailers can stay in contact with customers in both Canada and the U.S."

As a cloud-based service, SmartMover is available 24/7 for fast, safe, and secure processing with the ability to handle more than one million records per hour. The service also standardizes, parses, and validates addresses, whether or not it updates the record with a new address. In addition to the SmartMover cloud solution, end-users can access U.S. and Canadian change-of-address processing by sending files via email to Melissa Data's service bureau or by setting up fully- automated NCOA workflows via FTP.

Mailing lists processed through the NCOALink service meet the USPS Move- Update requirement for a period of 95 days from the date of processing and mailing, necessary for First-Class Mail® and Standard Mail® postal discounts.

Click here to request a free trial of Melissa Data's SmartMover cloud-based change-of-address service, or call 1-800-MELISSA (635-4772) for more information.

*Melissa Data receives weekly NCOALink updates from the USPS.

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A 6-Minute MatchUp for SQL Server Tutorial

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In this short demo, learn how to eliminate duplicates and merge multiple records into a single, accurate view of your customer - also known as the Golden Record - through a process known as survivorship using Melissa Data's advanced matching tool, MatchUp for SQL Server.

Click below to watch the video:

https://www.youtube.com/watch?v=1Nl871Bxy2M

By David Loshin

In the past few entries in this series we have basically been looking at an approach to understanding customer behavior at particular contextual interactions that are informed by information pulled from customer profiles.


But if the focal point is the knowledge from the profile that influences behavior, you must be able to recognize the individual, rapidly access that individual's profile, and then feed the data from the profile into the right analytical models that can help increase value.

The biggest issue is the natural variance in customer data collected at different touch points in different processes for different business functions. A search for the exact representation provided may not always result in a match, and at worse, may lead to the creation of a new record for the same individual, even one or potentially more records already exist.

In the best scenario, the ability to rapidly access the customer's profile is enabled through the combination of smart matching routines that are tolerant to some variance along with the creation of a master index.

That master index contains the right amount of identifying information about customers to be able to link two similar records together when they can be determined to represent the same individual while differentiating records that do not represent the same individual.

Once the right record is found in the index, a pointer can be followed to the data warehouse that contains the customer profile information.

This approach is often called master data management (MDM), and the technology behind it is called identity resolution. Despite the relative newness of MDM, much of the capability has been available for many years in data quality and data cleansing tools, particularly those suited to customer data integration for direct marketing, mergers, acquisitions, data warehousing, and other cross-enterprise consolidation.

In other words, customer profiles and integrated analytics builds on a level of master data competency that is likely to already be established within the organization.


Uniquely Includes Comprehensive Facts on All Types of Property for Any User; Simplifies and Accelerates Property Research Required to Fast-Track Real Estate Deals


Rancho Santa Margarita, CALIF. - July 23, 2014 - Melissa Data, a leading provider of contact data quality and integration solutions, today announced Property Data Book, an iPhone app offering convenient access to detailed, up-to-date property and mortgage data on more than 110 million U.S. properties nationwide. Owned and developed by Mobile Data Books, LLC, Property Data Book incorporates Melissa Data's extensive data enrichment capabilities in its cost-effective mobile platform; its scope of information is uniquely broad, spanning land, residential and commercial properties whether or not they are listed for sale. Users can access data quickly and easily without a subscription or account registration, creating significant value for homebuyers, real estate investors and sales professionals, insurers, lenders and a broad range of service and product providers.

As a mobile-only solution, Property Data Book functions in contrast to existing real estate information sites, which provide limited information in order to drive homebuyer traffic and build a lead-based business model. "Powered by Melissa Data's Property database, Property Data Book delivers thorough information to all users, including property value, type, age, size, building characteristics, last sale and mortgage deed, tax info and more," said Gary Van Roekel, COO, Melissa Data. "Ownership information includes number of owners, absentee or out of area owners, and corporate entities. Users can also access contact information associated with a particular address or phone number."

"Most mobile real estate apps are merely an extension of a corporate website. Information is limited to properties listed for sale, and only partial information is delivered to users in exchange for account signup. Deeper data requires the user to contact an agent, creating an environment more focused on developing leads and commission fees than serving up excellent data," said Constantine Vassil, founder of Mobile Data Books, LLC. "Property Data Book is dramatically different, and is all about the data. Users have an intelligent tool that considers the typical needs of homebuyers and real estate professionals, often on the go and in need of affordable, comprehensive property information in a timely fashion."

Mobile app users often indicate their biggest challenge is entering addresses on a small keyboard. Property Data Book incorporates this feedback, and includes a powerful reverse address and telephone lookup. Its custom algorithm populates data automatically after a few keystrokes, loading only correct options based on zip, city or area code provided. The app itself remains small in size, yet address entry is fast, correct and does not require connectivity to load the address or phone.

The app comes with limited free credits toward property research, and users simply purchase credits for what they use. Property Data Book can be downloaded from the App Store for free at getPDB.mobi.

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