Data produced by applications, devices, or humans must be processed before it is consumed. By definition, a data pipeline represents the flow of data between two or more systems. It is a set of instructions that determine how and when to move data between these systems. My last blog conveyed how connectivity is foundational to a... more
If you take any data processing pipeline – be it for data integration, data quality, data matching and mastering, data security, data masking or a B2B data exchange pipeline – data is read from somewhere and written somewhere for further consumption. All data processing pipelines start and end with connectivity. In addition to reading and... more
As Chief Trust Officer at Informatica, it’s my job to make sure that customers trust our global cloud services platform and software. Simply put, data privacy and security have never been more important to our customers. A study by RSA Security Research reports that roughly 70% of global consumers are prepared to boycott a company... more
You’ve heard the analogies: Data is the new oil, data is the new jet fuel, data is the new currency, etc. However, research by New Vantage Partners indicates less than one-third of organizations are data driven. To truly capitalize on the opportunity of being a data-driven business you must empower as many people as possible... more
For the past several years we have been subjected to various analogies invoked to convey the growth in data we are experiencing – from avalanche to tsunami, oddly all related to natural disasters. While we are getting jaded by these tropes, the underlying problem, however, is real. The data we have access to as part... more
There is a story I’ve always liked related to the invention of chess. The reward the inventor requested from his emperor for coming up with this fascinating game was…grain. But he asked for it to be calculated in a unique way. He requested that one grain of rice be placed on the first square, then... more
It’s becoming clear that data-driven organizations are struggling to keep up with all their enterprise data and manage it to their strategic advantage. Despite the vast amounts of data available to us, we still can’t provide cost-effective quality healthcare to the elderly, too many companies are not delivering great multi-channel customer experiences, and they can’t... more
As someone with many years of experience in product development, I can tell you it makes a difference when you have an overall vision to guide you. A few years ago, we introduced the Intelligent Data Platform (IDP), the industry’s most complete, modular, microservices-based architecture for data management. The idea is that you can evolve at your own pace, tackle your most pressing data... more
In my role, I travel all over the globe meeting with people who are trying to turn their data to strategic advantage. They know that we’re facing a generational disruption in the market, and they want to thrive in the age of Data 3.0, where data truly powers digital transformation. But harnessing data effectively is... more
In my last post about Data Monetization I touched upon the concept of a Digital Product Factory. Today, I would like to outline why a factory-style R&D process is a must-have when monetizing your data, no matter in what consumption pattern; data feed, analytics or application. Furthermore, I will highlight how data governance will play... more