Data Matching | Global Intelligence Blog

The Role of Data Quality for Charities

Melissa UK Team | Address Check, Address Correction, Address Quality, Address Verification, Analyzing Data, Analyzing Data Quality, Big Data, Data Management, Data Matching, Data Profiling, Data Quality, Data Quality Assessment, United Kingdom

2% of contact data is subject to inaccuracies every month which means that almost 25% of data is corrupted on an annual basis. However, new statistics demonstrate that organisations find almost 30% of their contact data to be inaccurate.

This is not an alarming statistic as smart technology has meant that we are more connected than ever, but it has created distance between organisations and clients.… Read More

Check and Double Check Customer Identities

Author | Address Verification, Data Cleansing, Data Matching, Data Quality, Digital Identity Verification, eIDV, EIV, Email Verification, FinTech, Full Contact Authentication, Global Address Verification, Global Data Quality, Global Email, Global ID Verification, Global Phone Verification, Identity Resolution, International Address Verification, Personator, Personator World | chargeback prevention, Digital Identity Verification, fraud prevention, identity management, identity resolution, identity verification, know your customer, KYC

How Companies can use Technology and Multiple Sources to Properly Identify Customers and Head Off Illegalities

Are you really who you say you are? Well, you may think so, but lots of other important people may not be so sure.

For many companies, taking a person’s identity at face value and without double or triple checking could be disastrous, which is why it’s so necessary for companies to use multiple sources of identity verification.… Read More

When does Big Data become Bad Data?

Melissa UK Team | Analyzing Data, Analyzing Data Quality, Article, Data Audit, Data Cleansing, Data Enhancement, Data Enrichment, Data Governance, Data Integration, Data Management, Data Matching, Data Migration, Data Profiling, Data Quality, Data Quality Services, Express Entry, FinTech, GDPR, Global Address Verification, Global Data Quality, Global ID Verification, Global Name, Global Phone Verification, International Address Verification, United Kingdom

Last month, we spoke about big data and the importance of leveraging such data to provide insights to drive better informed business decisions. But at what point does this data become useless?

As we mentioned, big data provides detailed insight as it draws upon information from a number of sources and data points and thus, big data can reveal new opportunities, insights on customer behaviour and forecast changes in the industry, all of which will help an organisation’s success.… Read More

Data Quality? That’s not in my job description!

Melissa UK Team | Big Data, Data Cleansing, Data Enhancement, Data Enrichment, Data Management, Data Matching, Data Quality, United Kingdom | data management, data quality

It may not be explicitly stated but ensuring your company has good quality data is part of your job role. Why? Because all of us depend on data to do our work and if this data contains errors, it makes your job more complicated.

What would I need to do?

You need to advocate for data quality.

When you come across data errors, your natural reaction is one of two things – correct the error or ignore the error because it is time consuming and a waste of your time to find and fix every data related flaw in the system.… Read More

Discover Data Quality Issues Before they Arise

Blog Administrator | Data Audit, Data Cleansing, Data Enhancement, Data Enrichment, Data Matching, Data Profiling, Data Quality, Data Quality Assessment, Tips & Solutions | clean data, data, data profiler, data quality, Profiler

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.… Read More