Are your big data and analytics capabilities up to par? Nearly half of the global company executives in a recent Forbes Insight/Teradata survey certainly don’t think theirs are. This new book from O’Reilly examines how things typically go wrong in the data analytics process, and introduces a question-first, data-second strategy that can help your company close the gap between being analytics-invested and truly data-driven.
Authors from Tamr, Inc. share insights into why analytics projects often fail, and offer solutions based on their combined experience in engineering, architecture, product strategizing, and marketing. You’ll learn how projects often start from the wrong place, take too long, and don’t go far enough—missteps that lead to incomplete, late, or useless answers to critical business questions.
Ayúdanos a seguir escribiendo
- Añádenos a la “Lista blanca” de tu bloqueador de anuncios
- Usa nuestro enlace de Ámazon
- Descarga una guía gratuita que te interese (Nos donarás $1.5 si la rellenas con datos reales ej: en que sector trabajas etc)
- ¡Hazte un Patreon!
Find out how their question-first, data-second approach—fueled by vastly improved data preparation platforms and cataloging software—can help you create human-machine analytics solutions designed specifically to produce better answers, faster.
By downloading this free report, you agree to receive regular updates on events, video, books, and learning opportunities from O’Reilly Media.
Visita la página Manuales gratuitos o consulta el catálogo completo.