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Melissa's Improvements in Dynamics CRM

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Dirty data, in all forms, is bad for business. Here at Melissa, our primary concern is cleansing it from all of your platforms, including Microsoft Dynamics® CRM. Melissa currently offers many solutions for Dynamics CRM in order to combat problems with bad data.

 

We offer the Personator® solution in order to cleanse and enrich your U.S. and Canadian data. We offer the Global Verify solution to correct and verify your addresses, phone numbers, names, and email addresses on an international level. Soon, we will release the Express Entry® solution in order to prevent bad data from entering your environment. As we strive to offer you the best solutions, Melissa constantly seeks to improve its solutions to better suit your needs.

 

Coming in a future update, we will offer the following new features to our Express Entry service:


•          Personator Workflows

•          Reverse Lookup for Express Entry

•          Express Entry Integration into Global Verify

Personator Workflows

Dynamics CRM is utilized in many different ways in the business world. The creation of contact, account, and lead records is handled through many different environments that may not leverage the standard form. In addition, sometimes users may forget to use our services to cleanse and correct information before saving and storing a record. 


To address these issues, we have created workflows for the Personator solution for the currently supported out-of-box entities. These workflows can be activated to leverage our Personator service on records automatically, such as upon creation of a new record. This will allow users to create records from a different environment, such as a separate portal, to have their information automatically validated through our workflows.

 

Reverse Lookups for Express Entry

Different users enter address information in different orders. With Dynamics CRM's ability to customize forms, it is apparent that not everyone will start by entering a street address. With our new feature, Reverse Lookups, users can enter information starting from the most general piece of information down to the most specific. For example, now a user, after entering his or her default country, can begin by entering the postal code to determine the city and state of the particular record. After filling out these fields, the user can then enter in the street address and select from a list of addresses only in that particular city, state, and postal code.

 

Express Entry Integration into Global Verify

Many customers require different methods of verification. In order to address these concerns, we have integrated our Express Entry service into our Global Verify solution. Now, you can utilize the Express Entry service to autocomplete addresses when entering data as well as verify phone and email with the click of a button.

Record Matching Made Easy with MatchUp Web Service

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MatchUp®, Melissa's solution to identify and eliminate duplicate records, is now available as a web service for batch processes, fulfilling one of most frequent requests from our customers - accurate database matching without maintaining and linking to libraries, or shelling out to the necessary locally-hosted data files.


Now you can integrate MatchUp into any aspect of your network that can communicate with our secure servers using common protocols like XML, JSON, REST or SOAP.

 

Select a predefined matching strategy, map the table input columns necessary to identify matches to the respective request elements, and submit the records for processing. Duplicate rows can be identified by a combination of NAME, ADDRESS, COMPANY, PHONE and/or EMAIL.

 

Our select list of matching strategies removes the complexity of configuring rules, while still applying our fast and versatile fuzzy matching algorithms and extensive datatype-specific knowledge base, ensuring the tough-to-identify duplicates will be flagged by MatchUp. 


The output response returned by the service can be used to update a database or create a unique marketing list by evaluating each record's result codes, group identifier and group count, and using the record's unique identifier to link back the original database record.

 

Since Melissa's servers do the processing, there are no key files - the temporary sorting files - to manage, freeing up valuable hardware resources on your local server.

 

Customers can access the MatchUp Web Service license by obtaining a valid license from our sales team and selecting the endpoint compatible to your development platform and necessary request structures here.

Fintech breakthroughs that identify,validate and augment customer data help financial services organizations head off fraud, operate within the rules


One of the most pressing issues facing the financial services industry today is the prevailing emphasis on security and fraud prevention. Big data and analytics are leveraging the power of the Internet, but also offering big, juicy plums for hackers, credit card fraudsters, money launderers and terrorists.

 

In response, many countries including the U.S. have established Know Your Customer (KYC) requirements, intended to guide financial institutions in heading off fraudulent transactions. A key way for banks to do this is to clearly Identify legitimate banking clients and their business relationships so the bad operators become more obvious and identifiable.

 

But it can be a challenge. Legitimate customers often have multiple banking relationships with a single institution, with identifying information stored in different formats in a multitude of databases. Various family members also may be account owners, but have different names and live at different addresses, possibly even in different countries.

 

Linking all these threads together while at the same time correcting name misspellings, standardizing mailing address formats, and parsing precise geolocation IDs can be the stuff of banking compliance nightmares.

 

Not doing this due diligence, however, can be catastrophic. To be hacked and have millions syphoned out of your customers' accounts is one thing, but to have the government ready and willing to fine you for failing various KYC tests can be just as damaging. Can you say "Loss of reputation and customers?"  

 

A WORLDWIDE PROBLEM


Most notably non-compliant of late have been banks based or doing business in India, but it's a worldwide problem. A New York-based broker-dealer recently was charged with KYC violations and for negligently allowing illegal trading by one of its customers. Perhaps the highest profile case most recently was Morgan Stanley Smith Barney running afoul of a variety of KYC violations. The main charge: Morgan Stanley failed to properly identify an assortment of "red flags" that signaled illegal activity.

 

Thankfully, technological breakthroughs increasingly are offering their own solutions. Just as the digital world has enabled bad players and victimized banks worldwide, technology is fighting back with sophisticated Know Your Customer tools.

 

A big step forward is the ability to accurately verify names and addresses. In a global world without borders, technology that verifies, cleans, completes and standardizes names, addresses, phone numbers and emails, and does so globally, immensely aids the process of knowing one's customers.

 

Technologies also exist that adds in missing contact fields, finds census and area-specific statistical details, and provides precise demographic information. When banks are able to combine census and area-specific details with accurate names and addresses, they'll know pretty closely if a variant player is really a customer or a bad guy.

 

KYC guidelines are very specific about risky areas prone to scams and schemes. A wide variety of countries are identified by the U.S. State Department for being prone to ignoring money laundering, tolerating suspicious transactions, and generally lacking adequate know-your-customer requirements. Ignoring this, in fact, was one of the issues that burned Morgan Stanley, permitting criminal activities to continue unchecked.

 

While IP lookup that identifies exactly where a digital communication has come from has been around for a while, new geocoding breakthroughs are able to convert IP addresses into precise latitude and longitude coordinates around the world. Most European and international identify cards also can be verified, along with mobile phone numbers and driver's license information.

 

One of the essential elements in all this is updating customer data. It's been estimated that accurate contact information deteriorates severely and regularly, and good customers who merely move across town can confuse inadequate screening processes and raise red flags (false positives) when it shouldn't. Today there are a variety of modules banks can use to update customer information quickly and accurately.

 

The bottom line is this: Financial services institutions now have lots of new reasons to love fintech technology that mitigates KYC concerns by identifying legitimate customers, and flagging the ne'er-do-wells before they can be effective.




Meet Melissa: Global Intelligence

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Melissa Data is officially now Melissa.

 

As we welcome our 32nd year in business, we are excited to announce an important change at Melissa Data. We've decided to drop the "Data" from our brand identity. We are simply Melissa now. This is part of a new branding effort to reflect Melissa's growth, and more importantly, the changes in the data quality space. While authoritative data sources power our products and services, we want to continue developing new solutions that deliver data-driven results for better business intelligence.

 

This forward thinking change is reflected in our new logo with the design emphasis on the "i" for intelligence. You will see this focus on intelligence in our new ID verification services, our industry-specific solutions to help with Know Your Customer initiatives, risk management and compliance, and in our robust customer data management and data integrations platforms.

And, you'll see it in our new website at www.melissa.com. 


Our goal with this new website is to provide our visitors an easier way to learn about Melissa's services and solutions. Immediately, you will notice streamlined menus, simple navigation, and quick access to the information you need.

 

We look forward to working together with all of our existing customers on more opportunities and better solutions for global intelligence. Please feel free to reach out and let us know how we can better assist you.

Better Marketing Starts with Better Data

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Improve Data Quality for More Accurate Analysis with Alteryx and Melissa

 

Organizations are under more pressure than ever to gain accurate contact data for their customers. When your consumer base ranges from Los Angeles to Tokyo, it can be challenging. Poor data quality has a critical impact on both the financial stability as well as the operations of a business. Verifying and maintaining vast quantities of accurate contact data is often inefficient and falls short of the mark. According to IBM, the yearly cost of poor data quality is estimated at 3.1 trillion in the U.S. alone.

 

Melissa's Global Address Verification and Predictive Analysis for Alteryx are the tools your business needs to grow. Download this whitepaper to find out how to achieve marketing success, while reducing the cost of doing business overall.

 

Learn how to:

  • ·         Better understand and utilize your big data for marketing success
  • ·         Build better relationships with customers with clean data
  • ·         Target the customers most likely to buy
  • ·         Cut down on undeliverable mail and save on costs

 

Download free whitepaper now:

http://www.melissa.com/resources/whitepapers/alteryx-better-marketing-data.html

 

How to Do It All with Melissa

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With Melissa, you can do it all - see for yourself with the brand new Solutions Catalog. This catalog showcases products to transform your people data (names, addresses, emails, phone numbers) into accurate, actionable insight. Our products are in the Cloud or available via easy plugins and APIs. We provide solutions to power Know Your Customer initiatives, improve mail deliverability and response, drive sales, clean and match data, and boost ROI.

 

Specific solutions include:

·         Cleaning, matching & enriching data
·         Creating a 360 degree profile of every customer
·         Finding more customers like your best ones with lookalike profiling
·         Integrating data from any source, at any time

Other highlights include: global address autocompletion; mobile phone verification; real-time email address ping; a new customer management platform; as well as info on a wealth of data append and mailing list services.

 

Download the catalog now:

http://www.melissa.com/catalogs/solutions/index.html

 

Melissa Data Creates New Plug-ins for Pentaho Marketplace

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Good news for companies looking to keep their data lake from turning into a data swamp. Melissa Data has created a set of new data quality plug-ins for Pentaho's big data integration and analytics platform. The plug-ins will help users quickly move beyond tactical data quality efforts to engage in a broader data governance strategy by combining data quality, data governance, and master data management. Click here to learn more

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).

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Data is Born in Business Processes

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By Elliot King

Elliot King
One of the most critical factors affecting the health of an organization is the relationship between business processes and the IT infrastructure. Data is created through businesses processes and the ways that these operations are designed and implemented have an enormous impact on the quality of the data, from acquisition through application, and retention. In short, corporate business processes generate the data on which companies rely.

The way some enterprises organize themselves, business process owners are said to "own" a specific application or piece of the IT infrastructure. That many not be the case everywhere, but there are very few, if any, places where IT can say it owns a business process. In any case, having IT define a business process would be like the tail--albeit a big and powerful tail--wagging the dog. IT should always support a given process, not define it.

That is why it is so important for IT to work with business process owners to integrate data governance and data quality processes into each step of the business process itself from the beginning. For example, consider a generic sales process. The first step might be signing a contract.

At that point, there must be data governance rules that define the term, customer. If several people in an organization are involved with closing deals, who the sales person is must be defined; who the sales support person is must be defined, and so on.

The next step might be determining the necessary contact and identity information. Do you require the legal name of the company, or if the company is doing business under a different name, is that acceptable? What if the company has subsidiaries in different countries doing business under different names? Though perhaps small, these are not trivial questions. The rules established and the information provided will help determine the quality of the data used in an array of downstream processes.

Organizations are organic, so business processes are constantly being engineered and reengineered. Data quality considerations should play a central role in those efforts.


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Standardizing Classifications

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By David Loshin

In the most recent post, we posed a straightforward problem: if we have a reporting or analytical objective that depends on using a dimension for classification, what happens when two different value domains are presumed to map to the same conceptual domain?

More concretely, the example we used was mapping individuals to their car purchase preferences, but different applications used different car classifications that did not share the same number of values and the value sets did not directly map in a one-to-one manner. The potential result is confusion in interpreting the results, especially if this classification is just one variable used for creating a customer profile.

One way to address this is to put a standards policy for classification dimensions in effect by selecting a single set of concepts, mapping those conceptual values to a standard single set of values, and then insisting that any application that uses that conceptual domain always use the standard.

This sounds simple, but it actually may entail some effort, since no one person may be aware of all the places that any specific classification domain is used.

This task goes beyond a "data management" activity and essentially becomes a "data governance" one involving a broad solicitation across the community of data consumers to determine the classification dimensions used and the enumerations of values employed within each dimension.

At the same time, the analyst spearheading this effort must have a plan for capturing the classification data, harmonizing values across variant lists, selecting a standard, communicating the standard, and then ensuring that the standard is put into practice.

Establishing good practices and processes for domain harmonization and standardization is an important topic to be considered in upcoming posts, but next time we will look at a growing challenge for classification domains: aligning data from unstructured text with the standard classification dimensions.

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