Humanizing Big Data: Marketing at the Me
β Strong, Colin
π Library
π
2015
π Kogan Page
π English
β¦ LIBER β¦
π
Humanizing Big Data: Marketing at the Meeting of Data, Social Science and Consumer Insight
β Scribed by Colin Strong
- Publisher
- Kogan Page
- Year
- 2015
- Tongue
- English
- Leaves
- 224
- Edition
- 1
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
Between tweets, likes, comments, blogs, videos and images, todayβs customer is estimated to generate 2.5 quintillion bytes of data per day. How can marketers utilize the ever-increasing amount of data to better understand and interact with their customers?
Β
This book offers advice on how to interpret and incorporate data into an organizationβs overall marketing strategy. It is designed to help marketers improve customer relationships, enhance the targeting of their marketing efforts, align marketing activities with ultimate goals and objectives, and gain insight into the effectiveness of marketing campaigns and channels.
Topics covered include: the current limitations associated with big data, the differences between deriving the what, how and why from data, how to use social science to provide frameworks for a smart data agenda, privacy and personal data and the role of market research in a marketing strategy.
π SIMILAR VOLUMES
Big Data in Computational Social Science
β Shu-Heng Chen
π Library
π
2018
π Springer
π English
This edited volume focuses on big data implications for computational social science and humanities from management to usage. The first part of the book covers geographic data, text corpus data, and social media data, and exemplifies their concrete applications in a wide range of fields including an
SQL for Marketers: Dominate data analyti
β LazyProgrammer
π Library
π
0
π LazyProgrammer
π English
Be data-driven More and more companies these days are learning that they need to make DATA-DRIVEN decisions. With big data and data science on the rise, we have more data than we know what to do with. One of the basic languages of data analytics is SQL, which is used for many popular data
Big Data at Work: The Data Science Revol
β Scott Tonidandel,β Eden B. King,β Jose M. Cortina (eds.)
π Library
π
0
π Routledge
π English
The Enterprise Big Data Lake: Delivering
β Alex Gorelik
π Library
π
2019
π OβReilly Media
π English
Enterprises are experimenting with using Hadoop to build Big Data Lakes, but many projects are stalling or failing because the approaches that worked at Internet companies have to be adopted for the enterprise. This practical handbook guides managers and IT professionals from the initial research an
The Enterprise Big Data Lake: Delivering
β Alex Gorelik
π Library
π
2019
π O'Reilly Media
π English
The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-d