Melissa podcast probes data quality, risk & identity
Data quality specialist Melissa has launched a podcast series examining the operational and regulatory consequences of inaccurate customer and identity data across several industries.
The series, titled What's In Your Data, is aimed at data leaders, executives, IT teams and compliance officers. It explores how flawed records affect identity verification, fraud prevention and Know Your Customer checks, as well as delivery accuracy, healthcare reimbursement and digital customer engagement.
Data risk
Melissa frames the programme around the idea that data quality now sits closer to business risk management, a shift it links to wider adoption of AI tools, automation initiatives and cloud modernisation programmes.
"As organizations accelerate AI adoption, automation, and cloud modernization, the quality of underlying data has become a strategic risk factor," said Daniel Kha Le, Chief Data Officer at Melissa. "Duplicate records, outdated addresses, mismatched identities, and incomplete profiles don't just create administrative headaches. As an inaccurate foundation for business operations, they drive denied claims, failed deliveries, onboarding friction, regulatory exposure, and skewed analytics. On this podcast, we'll share strategies to tackle these challenges head-on."
The podcast reflects growing interest among technology suppliers in using longer-form audio to reach specialist audiences. For data teams, it also comes as organisations revisit how they govern customer records and identity attributes across systems.
In many sectors, the same data sets feed operational workflows and compliance reporting. Mismatches between systems can cause delays, failed transactions and manual remediation. Separate records for the same customer can also complicate screening checks and case management.
Early episodes
The first episodes cover digital trust and verified contact data, identity verification for KYC and fraud prevention, and the cost of poor address data in eCommerce and logistics.
Other episodes examine matching and deduplication practices used to create a consolidated customer profile. Another theme focuses on geospatial precision and its role in operational decisions that depend on accurate location data.
The discussions draw on examples from financial services, healthcare, retail and eCommerce, the public sector and logistics. These industries all rely on accurate customer and identity information, though failure points differ. Financial services organisations face onboarding and screening challenges; retailers and carriers deal with delivery exceptions and returns; healthcare providers and payers contend with denied claims and billing friction.
Next topics
Upcoming episodes will address AI and data integrity, healthcare revenue cycle accuracy and real-time Know Your Business compliance practices. The schedule also includes legislative and geospatial data modernisation topics.
The focus on KYB reflects a broader shift in compliance operations beyond individual identity checks. Many regulated firms need consistent business identity data across onboarding, risk scoring and monitoring. That can include beneficial ownership information, business addresses and corporate identifiers, which often appear in multiple formats across internal and external sources.
Company background
Melissa provides data quality and identity-related tools spanning address validation, identity verification, sanctions screening, geocoding and data enrichment. It delivers these services through APIs, batch tools, CRM integrations and cloud-native deployments.
Such tools typically sit within customer data pipelines and operational systems. Address validation and autocomplete capture structured inputs at the point of entry. Matching and deduplication reconcile records across databases. Screening checks compare individuals and organisations against lists used in compliance processes. Geocoding converts addresses into coordinates to support routing, serviceability checks and location analytics.
Melissa reports serving 10,000 customers worldwide and processing billions of addresses daily. It also says its address data coverage extends to more than 240 countries and territories, with offices across four continents.
The podcast adds a content layer to the portfolio, presenting the company's perspective on how data errors affect risk controls and operational outcomes. It also emphasises practical discussions for professionals managing customer and identity data across multiple systems.
"Duplicate records, outdated addresses, mismatched identities, and incomplete profiles don't just create administrative headaches. As an inaccurate foundation for business operations, they drive denied claims, failed deliveries, onboarding friction, regulatory exposure, and skewed analytics. On this podcast, we'll share strategies to tackle these challenges head-on," said Le.