Strategic Thinking -Understanding Data Warehousing Strategic

Figure 4 illustrates three dimensions to thinking:

Time: we think across time in the past, the present, and the future.
Substance: we think between the concrete and the abstract.
Cardinality: we may think about one or more issues concurrently.
Assessment
Alliances
Structure
Indirection
Speed
Strategic conflict
Self invincibility
Prescience
Formlessness
Positioning
Commitment
Maneuver
Leadership
Efficiency
Coordination
Discipline
Psychological conflict
Foreknowledge
Love of the people
Learning
Chooses a problem (or set of problems).
Samples strategic ideas (singularly and simultaneously).
Thinks about solving the problem(s) by applying the strategic ideas within the Figure 5 bubble. This demands intuitive, holistic, dynamic and abstract thinking.
Key Points
  1. There are three dimensions to thinking:
  2. Most of the time we engage in mundane thinking. We need to process issues one at a time.
  3. Strategic thinking requires us to think dynamically across all dimensions.
  4. All strategic ideas encourage one grand strategic idea-the building, sustaining, and extending of advantage.
Time
Substance
Cardinality

数据挖掘研究院

Most of the time, most of us, as illustrated in Figure 4, engage in mundane thinking to solve our daily problems. All we need to do, to meet our needs, is to think about one issue, in the present, and in the concrete, at a time. Anything more sophisticated would be overkill. This thinking pattern that we use to solve our daily problems is also referred to as point thinking because all our problem solving efforts converge on one point.

Figure 5 illustrates strategic thinking. A strategist uses the same dimensions as the mundane thinker but thinks dynamically within the thought bubble defined by those three dimensions. A strategist concurrently thinks about many issues in multiple dimensions at many levels of abstraction and detail over time (past, present, and future). Strategic thinking is a creative and dynamic synthesis that is the exact opposite of point thinking. 数据挖掘工具

When looking at a problem, a strategist thinks about it in terms of certain established strategic ideas or themes. While new perspectives can always be developed, time and experience have demonstrated the power of looking at problems through certain enduring and tested strategic lenses. The following is a partial and representative list of powerful strategic ideas (see appendix for definitions): 数据挖掘工具

All these themes, not surprisingly, converge on one grand strategic idea-the building, sustaining, and extending of advantage.

数据挖掘论坛

So a strategic thinker:

Since the combinations of strategic ideas is inexhaustible, strategic thinking is a very powerful way to develop insight about problems and solve them in novel, unanticipated, and creative ways. It is from this kind of thinking that advantage is born and nourished.

[数据挖掘专家] [数据挖掘研究院] [数据挖掘论坛] [数据挖掘实验室]
上一篇:Strategy and Sustainable Competitive Advantage
下一篇: Data Warehousing and Strategic Thinking
最新评论共有 0 位网友发表了评论 , 查看所有评论
发表评论( 不能超过250字,需审核,请自觉遵守互联网相关政策法规。 )
匿名?
数据挖掘网站导航 数据挖掘论坛导航
  • 数据挖掘工具
  • 数据挖掘论坛
  • DataCruncher - Cognos
  • MineSet - MathSoft
  • Intelligent Miner - GainSmarts
  • Sqlserver - SAS - Clementine
  • CART - Weka - WizSoft
  • NeuroShell - ModelQuest
  • data mining tools - Darwin
  • 数据挖掘交友
  • 数据挖掘博客
  • 数据挖掘工具
  • 数据挖掘资源
  • 数据挖掘技术算法
  • 数据挖掘相关期刊、会议
  • 研究院联盟合作专区
  • 数据挖掘基础与相关技术
  • 数据挖掘厂商与就业
  • 数据挖掘研究者乐园
  • 知名厂商数据挖掘工具资料
  • 国内数据挖掘实验室
  • Foreign Data Mining Lab
  • 热点关注
  • SQL与最短路径算法
  • 求一个数据库备份方案
  • 某商店数据仓库的原型分析和设计
  • 移动通信数据仓库联合实验室在北京成立
  • 数据仓库的规划构建策略
  • NCR Teradata数据仓库概述
  • 各位进来帮忙参考一下关于个人发展方向问题
  • 关于数据仓库的数据模型
  • 第五届机器学习及其应用研讨会日程表
  • 数据库归来——下一代数据库扫描简介
  • 论坛最新话题
  • Foundations of Statistical Natural Langu
  • Game Theory meet Data Mining: A Recent P
  • System Building: How does it help or hin
  • 数据挖掘与Clementine培训
  • 新手报到
  • 求 SASEM 客户流失预测分析
  • 数据挖掘工程师/搜索研究院—北京——无线
  • 数据挖掘入门介绍(如何着手数据挖掘)
  • Information Overload Survey Results
  • The INEX 2005 Workshop on Element Retrie
  • 相关资讯
  • 处理海量数据的经验和技巧
  • 数据仓库的新生
  • 什么是ETL
  • Data Warehousing for the Midsize Organiz
  • Data warehouse management strategies for
  • 第五届机器学习及其应用研讨会日程表
  • SQL Data Warehouse Analyst
  • Edge appliances and the evolution of dat
  • 动态数据仓库让BI走向一线
  • The OLAP Report
  • 数据挖掘实验室资料
  • 数据挖掘博客地址
  • 数据挖掘实验室网站地址
  • Prepare for Medicare audits by using dat
  • 注册成为SAS用户与爱好者俱乐部会员
  • 水南梅
  • 明日烟
  • 新人报道
  • 下载
  • 厦门服务器托管,450元/月—0592-5177319 高
  • 买空间送域名--0592-5177319 高静