Listen to this article: The “product” metaphor has been useful when making the point that there is more to delivering a table, file, report, dashboard, or summary than just the data itself. At this point, the definition of Data Product is pretty clearly and consistently understood. You can read more Read more
Listen to this article: Welcome back to the Reservoir of Ideas. It’s February now, so I guess that means that most of our New Year’s resolutions have gone by the wayside. Were “Become Data-Driven” or “Understand Our Data” on your list? Many years ago, I attended a Tom Peters presentation Read more
Listen to this article: We walked through the door of an otherwise unremarkable industrial park suite into a gymnasium-sized room packed full of shelves. The shelves were packed floor-to-ceiling with banker boxes. The banker boxes were packed full of documents. Back in the early 1990s, two large aerospace companies got Read more
Listen to this article: OK. You’ve convinced management to support a Data Products initiative. Maybe you want to do AI and not be one of the 95% that fail or underperform. Maybe you have an existing analytical environment that’s like the house at the end of the street that hasn’t Read more
Listen to this article: The vocabulary generator has been working overtime. Just last week I talked about Data Contracts. Here’s another: Data Trust. I predict that through 2028, 80% of S&P 1200 organizations will become curious about the meaning of Data Trust. Why? Because among The Gartner 100 Data, Analytics and Read more
Listen to this article: When it comes to data, there are two types of companies: those that are aware of their data quality issues and those that aren’t looking. Does your CEO know how bad your data quality is? Hopefully not, because that means that you haven’t had a negative Read more
One of the most significant areas of Data Ethics concern is bias in generative AI models. Concerns about algorithmic bias are not new. Associative model (i.e. neural network) bias is not new. Even the ceding of consequential decisions to these models is not new. Just a few examples: AI is Read more
We are at the threshold of the most significant changes in information management, data governance, and analytics since the inventions of the relational database and SQL. At their core, these areas have changed very little over the past thirty years. Most advances have been beneficiaries of Moore’s Law: faster processing, Read more
In the Data Ethics episode of the Rock Bottom Data Feed podcast, our guest Daragh O’Brien made the observation that in our industry we often mix up word sequencing. For example, to him there is no such thing as “Data Ethics.” Rather, there is the application of ethics to data. Read more
This is the third part of a multi-part series discussing Data Quality and the ISO 25000 series standard. OK. You’re with the program. You recognize that having quality data is important for accurate AI models. You would even concede that it’s important for other stuff, too, but whatever because AI Read more