Data Analytics Initiatives: Managing Analytics for Success

Book Description

The categorisation of analytical projects could help to simplify complexity reasonably and, at the same time, clarify the critical aspects of analytical initiatives. But how can this complex work be categorized? What makes it so complex?

Data Analytics Initiatives: Managing Analytics for Success emphasizes that each analytics project is different. At the same time, analytics projects have many common aspects, and these features make them unique compared to other projects. Describing these commonalities helps to develop a conceptual understanding of analytical work. However, features specific to each initiative affects the entire analytics project lifecycle. Neglecting them by trying to use general approaches without tailoring them to each project can lead to failure.

In addition to examining typical characteristics of the analytics project and how to categorise them, the book looks at specific types of projects, provides a high-level assessment of their characteristics from a risk perspective, and comments on the most common problems or challenges. The book also presents examples of questions that could be asked of relevant people to analyse an analytics project. These questions help to position properly the project and to find commonalities and general project challenges.

中文：

书名：数据分析计划：管理分析以获得成功

对分析项目进行分类可有助于合理简化复杂性，同时澄清分析举措的关键方面。但这项复杂的工作怎么能被归类呢？是什么让它变得如此复杂？

数据分析计划：为成功管理分析强调每个分析项目都是不同的。同时，分析项目有许多共同之处，这些特性使其与其他项目相比具有独特性。描述这些共性有助于发展对分析工作的概念性理解。但是，特定于每个计划的功能会影响整个分析项目生命周期。通过尝试使用通用方法而忽略它们，而不针对每个项目量身定做它们可能会导致失败。

除了研究分析项目的典型特征以及如何对它们进行分类外，本书还考察了特定类型的项目，从风险的角度对其特征进行了高水平的评估，并对最常见的问题或挑战进行了评论。这本书还提供了一些例子，可以向相关人员提出问题，以分析一个分析项目。这些问题有助于正确定位项目，并找到共性和一般项目挑战。