Analytics and Dynamic Customer Strategy

افزودن به بوکمارک اشتراک گذاری 0 دیدگاه کاربران 4 (1)

Big Profits from Big Data

مشارکت: عنوان و توضیح کوتاه هر کتاب را ترجمه کنید این ترجمه بعد از تایید با نام شما در سایت نمایش داده خواهد شد.

ترجمه این کتاب مشاهده همه کتاب های ترجمه نشده

Big Profits from Big Data

Key decisions determine the success of big data strategy Dynamic Customer Strategy: Big Profits from Big Data is a comprehensive guide to exploiting big data for both business-to-consumer and business-to-business marketing. This complete guide provides a process for rigorous decision making in navigating the data-driven industry shift, informing marketing practice, and aiding businesses in early adoption. Using data from a five-year study to illustrate important concepts and scenarios along the way, the author speaks directly to marketing and operations professionals who may not necessarily be big data savvy. With expert insight and clear analysis, the book helps eliminate paralysis-by-analysis and optimize decision making for marketing performance.

Nearly seventy-five percent of marketers plan to adopt a big data analytics solution within two years, but many are likely to fail. Despite intensive planning, generous spending, and the best intentions, these initiatives will not succeed without a manager at the helm who is capable of handling the nuances of big data projects. This requires a new way of marketing, and a new approach to data. It means applying new models and metrics to brand new consumer behaviors. Dynamic Customer Strategy clarifies the situation, and highlights the key decisions that have the greatest impact on a company's big data plan. Topics include:

Applying the elements of Dynamic Customer Strategy Acquiring, mining, and analyzing data Metrics and models for big data utilization Shifting perspective from model to customer Big data is a tremendous opportunity for marketers and may just be the only factor that will allow marketers to keep pace with the changing consumer and thus keep brands relevant at a time of unprecedented choice. But like any tool, it must be wielded with skill and precision. Dynamic Customer Strategy: Big Profits from Big Data helps marketers shape a strategy that works.

لغو

گزارش تخلف

مغایرت عنوان کتاب با توضیحات و تصویر جلد
عدم رعایت حقوق نشر طبق قوانین جمهوری اسلامی ایران
محتوای مستهجن
توهین به قومیتها و محتوای نژادپرستی
توهین به اقیلیتهای مذهبی
اهانت به مقامات سیاسی و مذهبی
اشاعه ی کودک آزاری
سایر موارد

بستن

فرمت کتاب

ebook

زبان

english

تاریخ انتشار

2014

نویسنده

John F. Tanner

ناشر

Wiley

شابک

9781118905739

20,000 تومان

خرید کتاب مطالعه نمونه درخواست ترجمه کتاب

خرید کتاب Analytics and Dynamic Customer Strategy

Analytics and Dynamic Customer Strategy

گزارش تخلف

فرمت کتاب

ebook

زبان

english

تاریخ انتشار

2014

نویسنده

ناشر

شابک

کتاب های مرتبط

Structured Search for Big Data

Collaborative Filtering Using Data Mining and Analysis

Big Data

Spark Cookbook

HBase in Action

HBase in Action : Foreword by Michael Stack

978-1617292521

Practical Data Analysis

Artificial intelligence and big data : the birth of a new intelligence

Data Lake for Enterprises

Splunk Operational Intelligence Cookbook

Mastering data-intensive collaboration and decision making : research and practical applications in the Dicode Project

Big data analysis : second International Conference, BDA 2013, Mysore, India, December 16-18, 2013 : proceedings

Big data benchmarks, performance optimization, and emerging hardware : 4th and 5th Workshops, BPOE 2014, Salt Lake City, USA, March 1, 2014 and Hangzhou, China, September 5, 2014 : revised selected papers

Medical computer vision : algorithms for big data : international workshop, MCV 2014, held in conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014 : revised selected papers

Big data integration theory : theory and methods of database mappings, programming languages, and semantics

Cloud networking for big data

Big Data

Big Data How the Information Revolution Is Transforming Our Lives

Big data imperatives : enterprise big data warehouse, BI implementations and analytics

Advances in big data : proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece

دیدگاه کاربران