How useful is demographic data for targeted advertising use?

Author | Data Enhancement, Data Enrichment, Demographics, Digital Identity Verification, Personator | , , , , , ,

Demographic data can be very useful for an advertiser to know who his target customer is. As an example, knowledge about a family’s household income can be used by a realtor when marketing a potential home to a client. Likewise, banks can use an individual’s income and occupation to properly target services and products such as credit cards to people who don’t have them.… 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 | ,

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

The Generation of the mobile phone

Melissa UK Team | Analyzing Data, Article, Clean Suite, CRM, Data Cleansing, Data Enhancement, Data Quality, United Kingdom | , , , ,

Mobile phones sales have been increasing year in year out and the number of mobile users is expected to surpass five billion by 2019. It was estimated that approximately 63% of the world population owned a mobile phone in 2016 and this number is due to increase to 67% in 2019.

This growth in mobile phone ownership demonstrates the need for organisations to optimise the customer’s mobile experience.… Read More