Building a Digital Analytics Organization: Create Value by Integrating Analytical Processes, Technology, and People into Business Operations

Building a Digital Analytics Organization: Create Value by Integrating Analytical Processes, Technology, and People into Business Operations

<div><b>Generate Maximum Economic Value from Leading-Edge Digital Analytics and Data Science.</b></div><div></div><div><ul><li>The complete business practitioner's guide to profiting from analytics on big data.</li></ul><ul><li>Build a focused, highly effective, cross-functional, process-oriented analytics organization, backed by the right support from other teams, funded by management, and perceived as successful by business stakeholders.</li></ul><ul><li>Learn and apply best practices for every task when executing digital analysis--from planning and strategy to optimization and demonstrating value creation.</li></ul></div><div></div><div></div><div></div><div>Digital analytics can help you grow value in virtually any market or industry in any country. To make the most of it, however, you need to create a highly-effective digital analytics organization--and that's not easy. Self-service reports, relevant dashboards, and other tools and techniques can help. <br><br>But they're only the beginning.<br><br>This guide covers all you need to know to build a well-resourced digital analytics team, and then back it with cross-functional support and alignment from IT, marketing, finance, the executive team, and beyond...while successfully applying analytics across the business. You will learn what it means to be "doing analytics": creating analytical processes and managing teams; collecting and governing data; analyzing paid, owned, and earned media; performing competitive and qualitative analyses; testing and optimization; targeting and automating; integrating digital data; using predictive modeling and other data sciences; and much more.</div><div></div><div></div><div></div><div></div><div></div><div></div><div></div><div></div><div></div><div>Drawing on years as a pioneer in the field, Judah Phillips covers the business management, process, technical, and analytical work required to tell accurate "data stories" that answer crucial business questions. </div><div></div><div></div><div></div><div></div><div></div><div></div><div></div>