Murugan is a product strategy and operations manager at Google, with over 15 years of experience spanning consulting, product management, and sales. She is a technical leader with expertise in ...

Introduction We are living in the age of a data revolution, and more corporations are realizing that to lead—or in some cases, to survive—they need to harness their data wealth effectively. The data ...

It would be hard to imagine a data model that didn’t include persons, either as individuals or as groups. Models contain people in one of two ways: as organizational structures or as playing roles in ...

Executive Summary The quality of data used in business is more important now than ever before. Accordingly, in order for organizations to deliver good business results, their data must be accurate, ...

As befitting the name of this column “Data Professional Introspective,” I’m sharing my current thinking with you. As an informal homework assignment between meetings, I set out to abstract and ...

In my previous TDAN.com column, “ Piloting the Plane – EDM Program and Project Management,” I explored perspectives, structures, cultures, approaches and activities needed to establish and ...

Abstract Entity relationship diagram (ERD) is one of the most widely used technique for data modeling. An ERD developed during the conceptual data modeling phase of the database development process is ...

Running a business with dirty data is like trying to drive a car blindfolded — it’s only a matter of time before disaster strikes. Dirty data doesn’t just create inefficiencies, it drains resources at ...

As AI adoption accelerates across industries, the competitive edge no longer lies in building better models; it lies in governing data more effectively. Enterprises are realizing that the success of ...

In 2024, our research at Dresner Advisory Services revealed that only 32% of organizations have a formal data governance organization in place. This statistic highlights a critical gap, especially as ...

IoT data management includes the practices, technologies, and policies involved in managing data generated by IoT devices. Management tasks include the collection, storage, analysis, and sharing of ...

As a career data professional and having spent most of the last 10 years with Collibra, Alation, and now as an independent, I’ve come to a somewhat painful, yet exciting realization that large ...