Читать книгу Self-Service Data Analytics and Governance for Managers - Nathan E. Myers - Страница 22

A decade or more into the data analytics era, many readers will have heard reference to a number of data analytics disciplines and technologies. Some of them have highly technical and sexy sounding names, while others may sound vaguely familiar, if lackluster. In the following pages, we will provide a very high level introduction to a handful of key data analytics technologies, with which managers should be familiar. They all form the living backdrop against which specific analytics applications have emerged. Only a small subset of these are considered to be self-service data analytics tools, but all of these have been successfully demonstrated to add value, when applied appropriately to use cases with adequately rich benefits at scale. In the following sections, we will introduce some of the data analytics disciplines and technologies that have matured and risen to prominence. Note that these abbreviated introductions only scratch the surface of the suite of emerging technologies marching under the broad banner of data analytics.