David Loshin


David Loshin extends his exploration of ethical issues surrounding automated systems and event stream processing to encompass data quality and risk considerations.

The post Event stream processing, data quality and risk mitigation appeared first on The Data Roundtable.


I've been working on a pilot project recently with a client to test out some new NoSQL database frameworks (graph databases in particular). Our goal is to see how a different storage model, representation and presentation can enhance the usability and ease of integration for master data indexes and entity […]

The post Balancing privacy concerns for analytics design appeared first on The Data Roundtable.

十二 222016

In my last post we started looking at the issue of identifier proliferation, in which different business applications assigned their own unique identifiers to data representing the same entities. Even master data management (MDM) applications are not immune to this issue, particularly because of the inherent semantics associated with the […]

The post Linking identifiers for improved analytics appeared first on The Data Roundtable.

十二 142016

I was surprised to learn recently that despite the reams of laws and policies directing the protection of personally identifiable information (PII) across industries and government agencies, more than 50 million Medicare beneficiaries were issued cards with a Medicare Beneficiary Number that's based on their Social Security Number (SSN). That's […]

The post Identity, identification and the proliferation of identifiers appeared first on The Data Roundtable.

十一 282016

One aspect of high-quality information is consistency. We often think about consistency in terms of consistent values. A large portion of the effort expended on “data quality dimensions” essentially focuses on data value consistency. For example, when we describe accuracy, what we often mean is consistency with a defined source […]

The post Harmonizing semantics for consistency in interpreting analytical results appeared first on The Data Roundtable.

十一 102016

We often talk about full customer data visibility and the need for a “golden record” that provides a 360-degree view of the customer to enhance our customer-facing processes. The rationale is that by accumulating all the data about a customer (or, for that matter, any entity of interest) from multiple sources, you […]

The post The “tarnished record” – Alternatives to gold for fraud analytics appeared first on The Data Roundtable.