Analyzing Data Quality | Global Intelligence Blog

Benefits of a Single Customer View

Melissa UK Team | Analyzing Data Quality, Data Matching, Deduping, Duplicate Elimination, United Kingdom

What is a single customer view?

A single customer view, also known as a 360 view on your customers is a method of consolidating all the data you have on your prospects or customers which may be of entered into your systems from various channels and merging it into one single record.

Most companies will experience this problem of having scattered information of the same customer which is why matching and merging your customer data into one consolidated record will enable a powerful view demographically, as well as the actions they may have performed over mobile, online, and offline.… Read More

Need Data for a Key Decision? Try These 8 Sources

Melissa Team | Analyzing Data Quality, Clean Connections, Data Quality | Article, data quality, Newsletter

Data drives most businesses. But what happens when you lack data to make a critical decision? How do you collect the data, and at what cost?

Before acquiring missing data, define your objective. It could be answering a question, such as, “How do my sales compare to competitors?” Or, “What products should I launch?” Perhaps, “How do I increase sales from existing customers?”… Read More

Melissa Offers Insight on How a Healthy Data Lifecycle Supports Smart Business Decisions

Author | Address Check, Address Correction, Address Quality, Address Standardization, Address Validation, Address Verification, Analyzing Data, Analyzing Data Quality, Article, Big Data, BusinessCoder, Canada Post, Canadian Change of Address, CASS Certification, Clean Suite, Data Cleansing, Data Enhancement, Data Enrichment, Data Matching, Data Profiling, Data Quality, Demographics, Digital Identity Verification, Direct Mail, Duplicate Elimination, eIDV, Email Append, Email Marketing, Email Verification, Firmographics, Fuzzy Matching, Geocoding, Global Address Verification, Global Data Quality, Global Email, Global ID Verification, Global IP Locator, Global Name, Global Phone Verification, Golden Record, HIPAA, Householding, Identity Resolution, International Address Verification, IP Location, Location Intelligence, Mailing & Shipping, Mailing Lists, Marketing, MAT, Matching, MDM, Melissa Developer, Melissa Informatics, NCOA, News & Events, PAVE Certified, Presorting, Press Release, Property Data, Quick Tips, Record Linkage, Tips & Solutions, U.S. Property Service, Web API | analytics, BI, big data, business intelligence and analytics, change of address, cleansing, COA, contact data quality, data quality, Data Solutions, data tools, deduping, demographics, enrichment, firmographics, global data quality, IP Location, matching, MDM, property data, survivorship, target marketing, updating, verification

New Resource Touts the Importance of Full Spectrum Protection to Combat Data Pitfalls

Rancho Santa Margarita, CALIF – March 6, 2019 – Melissa, a leading provider of global contact data quality and identity verification solutions, today announced availability of the 2019 Melissa Solutions Catalog, a new resource that shares a wealth of information on the importance of good data, including how to address the full spectrum of data quality from point-of-entry ID verification to deduping, and cautions against the pitfalls of bad data and its negative impact to any business.… 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

What’s all the fuss about Big Data?

Melissa UK Team | Analyzing Data, Analyzing Data Quality, Big Data, Data Audit, Data Cleansing, Data Quality, Data Quality Services, United Kingdom | big data, data analysis, data analytics, data tools, sas

According to data analytics company SAS, big data is a term used to describe large volumes of data, whether structured or unstructured, that businesses deal with on a daily basis. Big data can be broken down into the three Vs:

Volume: businesses collect data from various sources and with increasing use of the internet and social platforms, there is more data available than ever.