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When MDM consolidation is too successful

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GDPR compliance should mean revisiting--and cleansing--your data files

Want to know the main reason you're liable to run afoul of the new European Union General Data Protection Regulation? Because your Master Data Management view of data across applications and analytics may have been just a little too successful.

 

Companies that have been extra diligent in that good old "360-degree view of the customer" have a master file chock-full of customer information, all of which is consolidated, but much of which is out of date and duplicated across systems.

 

And that means your MDM processes are probably filled with rule-busting red flags, courtesy of the new GDPR regulations.

 

Let's unpack this a bit, examine the key regulatory changes, and see where you're probably at risk.

 

The EU's GDPR, which becomes effective May 25, addresses consumer concerns about safeguarding digital information, regardless of where in the world it's stored, and erasing it when requested. If you've ever done business with people in any EU country, their information is in your CRM system, marketing automation, or master customer information file.

 

SO MANY DATA FIELDS, SO LITTLE TIME

 

What data are we talking about here? Just about anything, which pretty much summarizes your potential problem.

 

Newly protected data not only includes name, address, email, and phone, but also photos, bank details, social networking posts, and individual computer IP addresses. CRM and marketing automation systems normally include birthdays, payment methods, URL visits, and shopping habits, regardless of whether the information is about a person's private, professional, or public life, and those are GDPR-protected as well.

 

Running afoul of the GDPR is no small matter. It can result in fines of up to 20 million euros--roughly $24.5 million--or alternately 4 percent of a company's entire annual global revenue.

 

On the upside, the Euro folks are more serious than ever about their citizens' data and privacy.

 

On the downside, trying to identify your organization's relevant exposure can become an intolerable burden.

 

While the complete GDPR is extensive, a key element is Article 17, detailing consumers' "Right to Erasure." GDPR requires you to erase any EU citizen information upon request "without undue delay," and with only a handful of exceptions.

 

Surveys indicate that this Right to Erasure is the most challenging requirement for businesses. And this is where your Master Data Management projects are most vulnerable.

 

The problem is that data management processes that supposedly have merged siloed files across applications are geared toward inclusion, not efficiency.

 

It's likely you've got tons of duplications--numerous iterations of the same person, each containing slightly different fields, conflicting data, and even errors from one entry to another. Small wonder: Data entries are made individually over years and via different processes.

 

Even if entries are flagged, typical MDM false negative results mean truly duplicated records will remain behind, and uncorrected. After all, nobody wants to run the risk of erasing a unique and valid contact.

 

NIGHTMARE ON MDM STREET

 

Consider: You receive a request to have an individual's data erased, you think you've  complied, but in reality have overlooked iterations across applications that are of the exact same contact.

 

The result: A regulatory nightmare and a potential financial disaster.

 

What's a chief data officer to do?

 

First, start with an internal audit conducted by Melissa, one that goes far beyond any Privacy Impact Assessment process you may already have in place. A thorough top-down approach will uncover problems and trends, determine your true risk, and provide recommendations for redress.

 

But you'll want to go further.

 

Melissa technology tackles databases to standardize, correct, complete, and verify customer records. If there are any remaining identify questions about who's who in your database, and if any duplications continue to exist, Melissa employs matching engines to resolve them.

 

You've done your best to assure that 360-degree view of the customer through optimal MDM processes, and congratulations to you. Now, take the next step to protect your company from regulatory snafus.

 

To ensure you're compliant with the new GDPR regulations, call Melissa.

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By Kevin Ubay-Ubay, Sales Engineer


Personator World is Melissa's new powerful cloud based web service that gives a simple and single way to clean and verify your contact data globally. This service leverages our experience in name, phone, address & email validation to provide comprehensive contact checking and combines high quality identity level verification.

Some examples of where our new web service can be applied:

·         Age verification

·         Name-address verification

·         Anti-fraud applications

·         Online shopping cart & eCommerce platforms

·         FinTech/Banking

Trusted Reference Data

Personator World uses a number of trusted reference data to verify the identity of an individual. These types of data sources include:

·         Citizen/national databases

·         Credit agency/bureau

·         Utility and telecom sources

·         Driver's licenses

·         Electoral rolls

Personator World can then determine if the identity has been found and matched against those datasources. An example JSON response from the web service may contain something like this:

{

    "DatasourceName": "CREDIT-2",

    "Results": "KV03,KV04",

    "Messages": [

        {

            "ResultCode": "KV03",

            "Description": "First/given/forename matched"

        },

        {

            "ResultCode": "KV04",

            "Description": "Last/surname matched"

        }

    ]

},

{

    "DatasourceName": "CONSUMER-1",

    "Results": "KV01,KV14,KV13,KV12,KV10",

    "Messages": [

        {

            "ResultCode": "KV01",

            "Description": "Address matched"

        },

        {

            "ResultCode": "KV14",

            "Description": "Premise/house number matched"

        },

        {

            "ResultCode": "KV13",

            "Description": "Thoroughfare matched"

        },

        {

            "ResultCode": "KV12",

            "Description": "Locality matched"

        },

        {

            "ResultCode": "KV10",

            "Description": "Postal code matched"

        }

    ]

}


As you can see here, datasources where a match has been found are listed as well as what components of the input had been matched.

Using Personator World

To give a walkthrough of this service, when you send your contact data that you want checked and verified, Personator World starts off by standardizing and validating your data. At this stage, the service will parse and standardize your data as well as check for the following:

·         Name is in a valid format

·         Address is deliverable

·         Email address exists

·         Phone number is callable

Input

Output

Full name: John doe

Phone: 8458692102

Email: john.doe@yaoo.com

Address Line 1: 1 unicorn

City: norwich

Administrative Area:

Postal Code: NR33AB

Country: GB

Full name: John Doe

Phone: +44 8458692102

Email: john.doe@yahoo.com

Address line 1: 1 Unicorn Rd

City: Norwich

Administrative Area: Norfolk

Postal Code: NR3 3AB

Country: GB

 

In the diagram above, you can see the service standardizing (changing casings, abbreviations, etc.) and making corrections to our input data - add in missing street suffixes, add in phone country dialing code, add in missing state/province/administrative area info, correcting typographical email domain errors (yaoo.com -> yahoo.com), etc.

Next, Personator World takes your data and compares it against trusted reference data in order to verify that individual's information.

In this verification stage, the web service takes the standardized name, phone, email and address from the previous checking stage and performs ID verification. Additional input such as the individuals national ID provisioned by the country's government and date of birth can be verified as well, depending on the country.

 

Input

Output

Full name: John Doe

National ID: HJDO840230HVZRRL05

Date of birth: 2/30/1984

Phone: +56-222-226-8000

Email: john.doe@yahoo.com

Address Line 1: Paseo De Los Conquistadores 2000

City: Guadalupe

Administrative Area: NL

Postal Code: 67170

Country: MX

Results:

 

·         KV01 - Address matched

·         KV02 - National ID matched

·         KV03 - First name matched

·         KV04 - Last name matched

·         KV05 - Phone number matched

·         KV06 - Email matched

·         KV07 - Date of birth matched

 

 

 

The diagram above shows how the service will return back result codes indicating which pieces of information got matched. By observing what kinds of result codes are returned, you can determine how reliable your data is.

Availability

Personator World is currently available as a web service hosted on our servers - meaning you won't have to worry about updates and maintenance. Information about the countries supported and the level of coverage can be found by visiting our online wiki at wiki.melissadata.com. Sample code and documentation is also provided to help you get jump started on building applications and services incorporating our ID verification technology.

 

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Hindsight is, as we know, 20/20.  But, what if, when it came to natural hazards and their impact on your portfolio, you didn't have to rely on hindsight?  What if, you could understand your risks and exposures before an event occurred and write and plan appropriately?  Wouldn't that be better than hoping and praying that nothing bad happened?

 

Of course it would.  And we all know that bad things still happen no matter how much hoping and praying goes on.  That said, how many companies truly use hazard data in their everyday processes?  Sadly, very few.  For a large number of insurers either cost or technology or both keeps them from making use of some of the most effective data for pricing a policy, validating claims, and knowing your true exposure.

 

This probably isn't news that extensive property level data can enable a great level of risk awareness and location intelligence which in turn reduces risk for insurers while improving customer communications and service.  But what is news is that this risk information is now more available and easily accessible than ever before, enabling more insurers to take advantage of it.

 

When geospatial data first arrived it was primarily used by the big insurers who could afford to have a geographic information systems (GIS) team to develop or purchase the information, integrate the information, build decision models and monitor usage.  But thanks to technologies companies can now get a hazard answer for just about any hazard easily through Data as a Service (DaaS).

 

With DaaS you get answers to the hazard questions you have, when you have them.  For example, at time of quote: What is this policy exposed to?  How far is it from a fire station?  What's the distance to coast?  What rating territory or premium tax area is it in?  Knowing this information at the time of quote saves the embarrassment of an initial rate quote moving dramatically upwards if this information is only used at time of binding. 

 

Do you understand the hazards your portfolio is truly exposed to?  For example, knowing if properties are in a flood, surge, fire or earthquake zone can support a detailed plan for prospects your business can reach.  You may not insure for flood or earthquake, but knowing the risk exposure to those hazards and your ability to educate your prospective customer on them can separate you from your competitors.  While this has always been the case for the use of hazard data, the difference today is that hazard data is now a real-time asset, helping insurers make internal risk assessments as part of policy services.

 

Hazard information also allows you to better educate your customers.  Most customers do not know what hazards their property, personal or commercial, is exposed to.  A neatly formatted on-line report provided by your company using hazard data can help your customers better mitigate for risk.  As an example: This address in New Smyrna Beach, FL.


Flood Risk

Covered by FEMA digital maps. Minimal Risk of Flooding                            B

Fire Protection Class

Unprotected                                                                                                  D

Wildfire Risk

Very High                                                                                                       F

Drought Risk

Abnormally Dry - Increases the risk of wildfire at this location                     C

Earthquake Damage Risk

No Damage                                                                                                   A

Hurricane Damage

High Property Damage                                                                                 D

Superfund Site Risk

> 2,500 Feet from Known Superfund Site                                                     A

Brownfield Site Risk

> 500 Feet from Known Brownfield Site                                                       A

Florida Sinkhole Risk

Limited Sinkhole Risk                                                                                    B

Straight Line Wind Risk

Very High                                                                                                      D

2" Hail Risk

Very High                                                                                                      D

Tornado Risk

High                                                                                                              C

Lightning Risk

Very High                                                                                                      D

Special Wind Regions

NOAA Hurricane Prone Wind Region: Risk varies with location                   C

Florida Wind Born Debris Zone

130 MPH Wind Speed Zone                                                                          F

Thunderstorms

Very High                                                                                                      D


In looking at this property an insurer can instantly tell that there will be insurability issues.  If this property were already a part of your book of business there are any number of steps you would want to encourage this policyholder to take.  Unprotected for fire - fire extinguishers.  High risk of wildfire - mitigation steps.  Wind borne debris - shutters.  Impacts of convective storms and hurricanes - roof ties, mitigation information, lightning rods.  On the plus side there's no storm surge risk and minimal risk from flood.  Knowing that it's unlikely that there will be a water claim.

By accessing geographic risk-sets in real-time, natural hazard data such as wind, fire, water, or earthquake risk can be easily associated with specific properties.  Ideally, this is coupled with property and mortgage data enhancements, as well as location intelligence toolsets, such as address verification, geocoding and reverse geocoding, and IP location.  Based on multi-sourced datasets, insurers have real-time access to hundreds of different metrics on individual residential or commercial properties.  Hazard data scores are based on information from sources such as FEMA, NOAA, USGS, and state and local governments, and include risk of flooding, wildfire, lightning strikes, straight-line winds, hurricanes, tornadoes, earthquakes, and more.  It's a higher level of insight for insurance professionals, making decisions based on end-to-end property intelligence supported by precise risk scores made easier through hazard DaaS.

 

 

 

Introducing Business Coder for United Kingdom

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Melissa is happy to announce the release of our Business Coder service for UK, where you can verify, validate, and append firmographics for businesses in the UK. Originally servicing only the US, our webservice now expands to the UK as one of our more popular demands for business identification.

Our Business Coder UK webservice can help provide address cleansing and verification, along with business verification and appending of firmographic data. Our SIC Codes and Descriptions can help identify industries that the targeted businesses belong to, along with incorporation dates to help verify the correct businesses.

Similar to Business Coder US, our familiar result codes can help determine any issues with address or business validation. Ensure that the data returned along with our results help verify correct businesses in your data.

Powered by our Global Address engine, our address validation system thoroughly covers streets across the United Kingdom. With quality data ensured by experts and reliable sources such as the Royal Mail, be sure that you standardize and correct any addresses for your list of businesses to ensure that your deliveries do not go to waste.

And don't forget, this is only an announcement for our initial release. We're constantly striving to improve our webservice, as we plan to add additional fields and features to Business Coder UK. Check out our wiki and be on the lookout for new updates for the webservice!

Please note that for our release, Business Coder US and Business Coder UK will have separate URLs to make web service requests to. Additionally, Business Coder UK requires a separate subscription from Business Coder US. Please visit our wiki for more information on how to what to expect out of the new Business Coder.

Business Coder UK wiki: http://wiki.melissadata.com/index.php?title=Business_Coder_UK

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By Edward Dombrowski Data Quality Analyst


Maybe you're already familiar with the way Express Entry and Express Entry Desktop Edition can autocomplete addresses - just select the country and type in the beginning of an address, and the service can fill in the missing information, using address data from over 240 countries.

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But did you know the many benefits to autocompleting addresses? Increased efficiency, a single view of the customer at the point-of-entry, and increased security, to name a few.

With Express Entry Desktop Edition, you can easily enter complete addresses with 50 percent less keystrokes, with the bonus (since it uses the Express Entry service) that the addresses are already verified.

When you receive a complete address from the service, you can also geocode it easily with the click of the 'verify' button. Also, Express Entry Desktop Edition's system of templates gives you the flexibility you need to efficiently fill out any form in Windows or on the Web without having to code a solution.

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Another benefit to using Express Entry is the single view of the customer at the point-of-entry. This way, duplication in your database is controlled from the start. Express Entry's standardized addresses are consistent as they have pre-directionals, ordinals, suffixes, and post-directionals already abbreviated throughout.

Standardized addresses mean that you won't have to deduplicate customer tables by address. There are no addresses in Express Entry data that do not conform to the standard.

There may be one benefit you haven't thought of: fraud prevention. When a user selects a verified and standardized address on your form, or your Customer Service Representative enters an address through Express Entry Desktop's GUI, your confidence that the customer is who they say they are is increased. It becomes easier to separate real addresses from the fake ones.

Express Entry data is built from multiple sources so you can rest assured that address data is correct. If your Customer Service Center takes in addresses, Express Entry Desktop Edition can help your Customer Service Representatives enter them in more quickly.

For more info on Express Entry, go to: http://www.melissa.com/contact-data-verification/global-address-autocompletion.html

Validating Global Phone Numbers 101: A Quick, Easy Tutorial

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By Allison Moon Data Quality Analyst 

With the advent of global communications and business, chances are you are not only capturing addresses of your contacts, but contact phone numbers as well. This is where Melissa's Global Phone Object comes into play.

Global Phone Object validates registered phone numbers in more than 240 countries and territories, as well as enrich your data by appending information such as latitude, longitude, city, predominant language spoken, and more.

Setting up the object is quick and easy, especially if you're a current customer of any other Melissa API.

Here's a quick tutorial:

First, add the Phone Object DLL or .SL file to your project and instantiate an instance of the Global Phone Object:

SET globalPhonePtr as NEW Instance of GlobalPhone

Second, set your license string: 
CALL SetLicenseString WITH LicenseString

Next, initialize the data files:
CALL Initialize WITH DataPath RETURNING Result
IF Result <> 0 THEN
     CALL GetInitializeErrorString RETURNING
ErrorString
    PRING "Error: " & ErrorString
ENDIF

Now you're ready to start validating phone numbers! Using the 'Lookup' method, you can now loop through and feed your contact phone numbers through the object. For best results, pass in both the phone number and country associated with it with the Lookup method. If you require all the digits necessary for dialing internationally from your country, you will also need to pass in the Country of Origin (e.g. the country from which the caller is dialing from).

The outputs returned from the Global Phone Object are useful for call-centers or businesses that would benefit from knowing about the general area the contact is located. For instance, the UTC (Universal Time Code) output can help the caller schedule an appropriate time to dial the contact and the language output can provide the caller information on the language most comfortable for the contact.

The appended regional information, such as the latitude, longitude, locality (city), and administrative area (state) can be sued to get a general sense of where the majority of your contacts are located.

If you're capturing international contact information, the Global Phone Object will be a useful tool in determining registered phone numbers, standardizing phone number formats, and understanding more about where the contact is located.

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To test Global Phone for free, go to: http://www.melissa.com/contact-data-verification/global-phone.html

 

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By Oscar Li, Data Quality Sales Engineer/Channel Manager for Global Email


Melissa recently introduced several improvements and new features to its Global Email Verification Solution - an all-in-one real-time email mailbox validation and correction service. Here's a quick list of our latest improvements:

  • Improved fuzzy matching of domain corrections
  • Updated our TLD database with the newest ICANN info
  • Increased control over the freshness of data returned
  • Better unknown status detection capability

In terms of the service's new features, Global Email now offers two validation modes: Express and Premium.

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Express can be used in time-sensitive situations and will give back a response in one or two seconds. Premium will actually perform a real-time validation of the email address and can take up to 12 seconds to receive a response back.

If you want to reduce the time taken in premium mode, we offer an advanced email option which will reduce the freshness of the data return in order to increase speed.

Using the Global Email Verification Solution to Protect & Increase Your Email Reputation Score

What does email reputation mean? A big part of a marketer's campaign is email marketing campaigns. It is important to watch your email reputation with a tool such as senderscore. Once you are blacklisted, your email deliverability will suffer, and as a result, you will have trouble sending out emails in the future as most mail servers subscribe to a spammers list.

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Integrators should consult with our data quality experts in order to understand what they need to look out for to avoid a bad campaign, and why certain emails should be flagged/inspected. Even if you avoid spam traps, sending out too many invalid emails will cause the mail server to flag you as a potential spammer. Email marketing campaign servers with a low email reputation score will typically experience aggressive filtering.

On the other hand, maintaining a high reputation score will see less intrusive filtering only applied to individual emails and email campaigns instead of blanket IP addresses. It would be definitely prudent to not allow other users to influence your email reputation.

For example, if you are on a shared server - other companies/users could be sending out their own campaigns without filtering emails through our service. It would be a waste if you spent all the time and investment controlling your email campaigns and another user is email blasting without mailbox validation causing the entire IP to be affected.

How do I improve my email reputation score?

If your reputation scores are already dismal for your current existing email campaign server IPs, it might be beneficial to do email campaigns on a new or more reputable IP to see better return on investment. This would start your email reputation on a clean slate. As a disclaimer, we are not sure how feasible this would be for everybody, but your team will need to discuss internally.

However, using our service on existing IP should raise the reputation score for that specific IP. On IPs with pre-existing high volume campaign history, the scores will be slow to change. You can now see why it is extremely prudent to invest in an email validation system early on and why Global Email is a valuable tool to utilize.

For more info, go to: http://www.melissa.com/contact-data-verification/global-email.html


Discover Data Quality Issues Before they Arise

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By Taky Djarou, Data Quality Analyst


Melissa has released its new data Profiler API. The Profiler Object offers a unique approach to profiling your data, combining years of contact data quality experience, the power of many Melissa Objects, and data source tables to help you dig deeper into your data and return hundreds of properties about the input table, columns and individual values.

For example, many existing Profilers will allow the user to set a RegEx to capture an email pattern. The Melissa Profiler offers that function, as well as checking the syntax, the domain, and whether it's disposable, has a spammy reputation, or is invalid and will return counts that reflect all of the above.

Data validation is also performed on city, state/province, ZIP and postal code fields to report any discrepancies in your data. Even if you accidentally put a phone number in a name field, Melissa's Profiler can detect and report it.

The Profiler Object returns counts of duplicate records using four different matching criteria (Exact, Address Only, Household, and Contact.) Using the power of our flagship deduplication solution MatchUp, the number of unique records, duplicates and the largest group of duplicate counts will be reported for all four matching criteria.

Melissa's Profiler also provides value specific iterators (pattern, word, data, date, Soundex, etc.) that allow the user to loop through any column in an ascending or descending order to retrieve those values and their respective counts.

The date iterator for example, allows the user to see the busiest/slowest time/day of the month/day of the week using a time stamp field of when a record was created.

To demo the Melissa Profiler, please visit us at:  http://www.melissa.com/data/profiling.html or call 1-800-MELISSA (635-4772) and one of our Sales Representatives will set you up with a free trial.

5 Ecommerce Issues You Forgot--And How to Fix Them

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Want to increase conversions, provide customers with a better shopping experience, and cut down on cart abandonment? Check out these five ecommerce issues you probably forgot and how to fix them to solve these problems and more.

1. The Fat Finger Syndrome

Customers are terrible at typing--especially when it comes to filling out incredibly small contact forms on their smartphones. The fat finger syndrome accounts for many name misspellings, incorrect addresses, email bouncebacks, and invalid order submissions. To take the burden off the customer, try implementing a real-time autocomplete solution. By automatically showing verified addresses and emails as the customer types, you'll help alleviate fat finger syndrome and cut down on form abandonment.

 

2. International Postal Standards Vary

Did you know that in Japan, the last name goes first on shipping labels? And in Canada, the postal codes consist of letters and numbers arranged in a specific way? Those are just two examples of how address standardization can differ from country to country. So, if you're planning to go international, be mindful of varying postal requirements and make sure you have an address verification solution that can verify, standardize, format and transliterate. Solutions like Melissa's Global Address Verification do all of this and more--like adding precise lat/long coordinates to addresses for 40+ countries.

 

3. Upfront Shipping Matters

Amazon has shown the way towards better conversions, more sales, and cost-effective shipping with upfront shipping costs and delivery dates shown at every step of the order process. Now, you can, too! With Decimal, a comprehensive shipping rates manager and delivery dates predictor, you can provide your customers with calculations for shipping while they shop, without interrupting their purchase. That means more customers hitting Submit Order without delay.

 

4. Clean Data Affects Everything

Are you sure you're only storing accurate customer data? The data you collect directly on your site, via call-in orders, through internal systems, and mobile all need to match to show accurate customer records in order to better know your customers, increase upsell opportunities, and provide good customer service. By cleaning data before it enters your database and maintaining it after, you can ensure that every customer's name, address, phone, and email are accurate and verified.

 

5. Fraud Costs More than Lost Sales

Let's look at some stats--every year, businesses lose $3.5 trillion in revenue to financial crimes, and 15.4 million consumers were victims of identity theft in 2016 alone. Don't let fraud and chargeback costs steal your bottom line. Instead, use an ID verification solution like Personator®, which combs through 2.1 billion records to match name-to-address and verify that every customer is exactly who they say they are.

 

How to Know Customers Are Who They Say They Are

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In 2015 alone, 62% of companies were targets of payment fraud. As customers increasingly conduct their financial affairs online and via mobile devices, risk management and fraud prevention become more and more difficult. So, how do you know customers are who they say they are?

Short of reaching through the computer, tablet, or smartphone screen and verifying a customer with your own eyes, there are a plethora of ways that help you better know your customer, manage risk, and even prevent fraudulent transactions.

Age & National ID Verification

The first step to customer authentication is to match a customer's national ID (for example, their social security or driver's license numbers) and date of birth. Better authenticate a customer's ID documents and simplify compliance with any age restrictions or purchase laws, while improving customer service at the same time. Instantly verify that the customer purchasing your age-restricted goods is old enough to legally make that purchase.

Name-Address Matching

The second step is to match name to address to confirm the person buying your product or service isn't giving you false information. Personator leverages a comprehensive dataset containing billions of records to confirm and match current names and addresses with the highest degree of accuracy. Our powerful, real-time tools and services help you achieve entity resolution and compliance, as well as better know your customer and reduce, or even eliminate, the need for manual review.

Address Correction & Formatting

Next, you'll want to add in what's missing from customer data entry, legacy systems, sales input, and anywhere else your records come from. Add missing street suffixes, state/province/administrative area info, and standardize addresses to specific country formats using Advanced Address Correction (AAC) to verify that addresses are accurate and deliverable to real locations.

Contact Data Validation

Validation concerns more than just a name or address - it needs to look at all aspects of people data, from names and addresses to phone numbers, email addresses, geocodes, IP locations, demographics, and more. Determine that the given postal address for every customer is deliverable, the email address exists, the name associated with a mobile device and whether the phone number is active and callable, and the given name is in a valid format. You can even trace customers with geocodes and IP locators to manage risk and ensure compliance.

Melissa's Personator® World Edition can help meet all of these needs. Personator is a customizable web service that fits all your ID verification process and risk management requirements. It can help optimize onboarding and fraud detection in Ecommerce, AML Compliance, Customer Due Diligence, Card Not Present, Know Your Customer (KYC), and FinTech/RegTech arenas.

Try Personator free for 30 days to see how it can transform your business's safety and compliance.

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