It’s All Analytics - Part II

一切都是分析 第2部分:为您的组织设计集成的人工智能、分析与数据科学架构

政治经济学

原   价:
780.00
售   价:
624.00
优惠
平台大促 低至8折优惠
发货周期:国外库房发货,通常付款后3-5周到货!
出  版 社
出版时间
2021年09月02日
装      帧
精装
ISBN
9780367359713
复制
页      码
266
开      本
0 x 0 x 0 cm
语      种
英文
综合评分
暂无评分
我 要 买
- +
库存 49 本
  • 图书详情
  • 目次
  • 买家须知
  • 书评(0)
  • 权威书评(0)
图书简介
Up to 70% and even more of corporate Analytics Efforts fail!!! Even after these corporations have made very large investments, in time, talent, and money, in developing what they thought were good data and analytics programs. Why? Because the executives and decision makers and the entire analytics team have not considered the most important aspect of making these analytics efforts successful. In this Book II of "It’s All Analytics!" series, we describe two primary things: 1) What this "most important aspect" consists of, and 2) How to get this "most important aspect" at the center of the analytics effort and thus make your analytics program successful.This Book II in the series is divided into three main parts:Part I, Organizational Design for Success, discusses ……. The need for a complete company / organizational Alignment of the entire company and its analytics team for making its analytics successful. This means attention to the culture – the company culture culture!!! To be successful, the CEO’s and Decision Makers of a company / organization must be fully cognizant of the cultural focus on ‘establishing a center of excellence in analytics’. Simply, "culture – company culture" is the most important aspect of a successful analytics program. The focus must be on innovation, as this is needed by the analytics team to develop successful algorithms that will lead to greater company efficiency and increased profits. Part II, Data Design for Success, discusses ….. Data is the cornerstone of success with analytics. You can have the best analytics algorithms and models available, but if you do not have good data, efforts will at best be mediocre if not a complete failure. This Part II also goes further into data with descriptions of things like Volatile Data Memory Storage and Non-Volatile Data Memory Storage, in addition to things like data structures and data formats, plus considering things
本书暂无推荐
本书暂无推荐
看了又看
  • 上一个
  • 下一个