I’ve written elsewhere about the value of grounding your metrics program in semantics.1 This article goes well beyond that. We are just beginning to see a pattern of evolution that seems to be enabled, perhaps even encouraged, by the collapsing of silos into a data-centric knowledge graph. It is still early days, but the patterns […]| TDAN.com
The importance of Citizen Data Scientists has become a focus for the wise business executive and manager. Understanding Citizen Data Scientists and how they can supplement analytics and help the organization to be more successful can be a real competitive advantage for a business, whether that business is in a local market, a global industry, […]| TDAN.com
Data Governance Goals The primary aim of data and analytics (D&A) governance, our research has taught us, is aligning data and analytic content with business objectives, including regulatory requirements and stakeholder expectations. At its core, it is about establishing a framework for the optimal curation, control, and utilization of data to support strategic and operational […]| TDAN.com
In an era where data drives trillion-dollar market decisions, one truth separates industry leaders from the rest: Data reconciliation is only as practical as the stakeholders behind it. Yet most organizations treat reconciliation as a technical chore — delegated to IT teams and automated tools — while sidelining the very experts who understand the data’s business context. […]| TDAN.com
Taking immediate action on sensor data is vital in modern Internet of Things (IoT) systems. Real-time streaming serves as the fundamental structure of IoT analytics because it enables automated responses, predictive insights, and operational efficiency. Analyzing and responding to real-time data has become mandatory for healthcare, aerospace, and manufacturing systems. An example of real-time streaming’s […]| TDAN.com