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Drive 
扩展分析文化 的实用路线图
自助分析的益处显而易见
• 
我真的需要学习新工具吗? 
• 
这很重要吗? 
• 
有什么好处? 
• 
如何开始? 
• 
有什么数据可用? 
• 
这将需要多长时间? 
• 
如果我遇到问题该怎么办? 
但是任何系统都难以扩展。
“我们必须先完成数据仓库, 然后才能执行分析。” 
危险信号 
#1
果真如此? 不要等待“完美”。 从已有的开始。 
可视化分析周期 本质上是迭代的。 早期结果奠定后 期决策。
“我们有了自助分析, 所以我们不需要IT。” 
危险信号 
#2
果真如此? 
IT 至关重要, 
他们将提供可成 规模支持自助服务的策略和系统。
如何提供扩展自助分析所 需要的有计划的支持?
业务 
IT 
需求 
规划 
开发 
测试 
用户 
体验 
生产 
分析 
传统模型令业务用户和IT 失望 
用户必须等待… 他们很少满意。
为何瀑布模型失败 
因为我们觉得 您说的就是这 货… 
这就是您要的 红色敞篷车?
敏捷改进了瀑布模型 
生产 
开发 
规划 
用户 
认可 
测试 
主题 
专业知识 
(要求) 
使业务更接近 开发将提高质量、 速度和灵活性。 
但这仍然是要有 人做的全职工作。
如果敏捷冲刺是实时的又会如何? 
提升到 
生产 
开发 
规划 
用户验收 
测试 
主题 
专业知识 
(要求) 
自助开发压缩了敏捷 过程的各个阶段,实 现实时迭代。
Tableau:更敏捷的敏捷 
• 
人优于流程和工具 
• 
有效的分析优于详尽的文档 
• 
协作优于要求收集 
• 
对变化的响应优于按计划行事 
• 
实时工作
什么是Drive? 
Tableau Drive 是从敏捷方法中汲取灵感,并 由世界上最具分析思维的公司启发的商业智 能部署方法。有了Tableau Drive,业务和IT 部门就可以共同拥有分析平台。即使在企业 级部署的规模上,也有持续发展壮大的机会。
发现原型 
基础 
构建 
扩展 
Drive 是新的部署方法
IT 角色 
• 
安全 
• 
数据体系架构 
• 
可扩展性 
• 
培训 
• 
运营中心 
• 
支持intranet 
有效的合作关系 
业务角色 
• 
创新分析工作 
• 
推动数据采集 
• 
共享专业知识 
• 
需要时寻求帮助 
• 
传道 
• 
摧化作用 
执行 
支持
基础 
构建 
基础:组织方面 
• 
运营中心 
• 
传道中心 
• 
执行发起人 
• 
项目计划 
• 
培训 
• 
新用户入职流程 
• 
传道活动
基础 
构建 
基础:技术方面 
• 
沙箱和生产环境 
• 
治理和安全策略 
• 
数据字典 
• 
干净、托管且发布的数据源 
• 
过程:提升,上报,许可 
• 
在线帮助台
妙策 
业务负责有创意的 分析工作。 
#1
妙策 
IT 能够做他们最擅长、 更擅长的事情。 
#2
妙策 
良好的可视化效果只是用 户接纳的开始,而非结束。 它们是分析文化的一 部分(但非全部)。 
#3
妙策 
Drive 提供了一个 拓展眼界,降低企业级分 析部署风险的计划。 
#4
妙策 
该方法支持合作伙伴生态 系统,其中包括Intranet、 培训、工作流、自动化、 协作等等。 
#5
IT-业务合作的 
蓝图 
立竿见影的 
有用分析 
成熟的部署 
策略 
广泛持续 
的采用 
Drive 关键优势
“我们的员工现在只需要几小时, 而不是几天,就能找到并改正问题, 只需要几个星期,而不是几个月就 能生成报表。” 
Mat Hughes, 
营收优化全球分析经理 
Carlson Rezidor酒店集团(Radisson 及其他品牌) 
分析@ Radisson
这就是变更管理 
如果出现以下情况,就失去作用 
• 
IT 和业务“对立” 
• 
组织认为业务用户不应该有数据 
• 
支持技术不够灵活 
• 
没有推动者
前行之路 
阅读Drive 手册 
www.tableausoftware.com/drive
如何执行Drive 
内部 
Tableau 合作伙伴 
Tableau 专业服务
附录
自助分析的推动者 
TDWI 最佳实践报告
数据驱动的组织更有可能胜过同行

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