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SAS 作业成本管理
20071041145 经济系经济学 宋小方
主要功能与用途:
SAS 作业成本管理是一个分析模型的应用程序，业务流程，以确定成本和利润。有了这个解决方案，组织可以作出明智的决策，简化流程，实现收入增长，减少整个组织的成本。通过提供的过程，成本和利润的见解，SAS作业成本管理揭示出无利可图的顾客可能会破坏高达400的净利润百分之- ，并帮助您了解如何防止这种情况。


优点
1. 如何累积成本。 SAS作业成本管理揭示成本积累的方式，雇员，而不是金融专家，能够理解并采取行动。
2.管理共享服务的成本分配。得到一个真正的成本和利润的管理更准确的共享服务费用如何得到反映分配给产品，客户，渠道和服务。创建更准确的预算和劳动力计划。
通过找出活动，不增值过程。确定成本的瓶颈，返工和非增值活动。模型和模拟如何在“驱动器”数量的变化影响成本，利润和价值。
3.了解如何及为何突发事件的影响预算。不曾预料的事件不仅影响您的预算，而且您的资源计划和反应时间。准确，量化的成本和利润的影响，详细-超过传统的财务报告。
演变如何做生意。通过集中的产品，客户，渠道和服务的最大价值杠杆，你可以把你的业务更上一层楼。
特征
1.成本和盈利能力的测量
维盈利能力分析让您计算和报告，如产品，客户和组织的盈利业务部门的贡献。
成本和建模的能力，包括提供与使用或闲置能力，假设分析资源规划，以及基于活动的预算。
搜索可以帮助您的帐户内找到深层次，或搜索没有成本/转让或属性的帐户维度成员。
Intramodular任务分配在同一模块中的成本费用，并允许灵活的集中和流动。
交互作业成本同时提供两个帐户之间和微量元素详细的成本自由流动的成本分配。
外部和内部成本的法案可以直接链接到一个帐户。
2.建模
客户服务器，具有网络功能，与角色多用户架构的安全性和多个并发会话建模支持。
模型数据库的独立性和方法的独立，包括自上而下的，数量为基础的转让或自下而上，消费率模型。
用户自定义的各个时期和场景组合维度建模可以使用，是立体的意见和OLAP分析准备。
直观的工作区管理模型，报告和OLAP的意见。
视觉印刷的点击任务创建和意见。
向导提供了分步建设的模式指导。
3.分析和报告
无缝数据的SAS战略绩效管理共享可以让你用平衡计分卡指标的司机和措施，并确定活动为基础的管理措施，并公布他们的度量表。
16个标准的报告模板可用。
多维动态OLAP分析可以集成的SAS。NET中的OLAP浏览器和动态创建OLAP多维数据集。
集成与SAS商业智能允许基于网络和自我服务的报告和分析。
与SAS集成外接微软Office允许您访问和分析报告通过微软Excel数据库。
4.数据集成
数据仓库的能力。
嵌入式数据质量流程。
SAS的服务API允许你输入数据库管理系统的临时表，自动化模型的创建和维护，导入/导出数据和从另一个数据库管理系统。
能够读取从/写几乎所有的任何批量的技术平台和实时数据。

SAS® Activity-Based Management
SAS® Activity-Based Management is an analytic application that models business processes to determine cost, profitability and drivers. With this solution, organizations can make informed decisions that streamline processes, deliver revenue growth and reduce costs across the organization. By providing process, cost and profitability insights, SAS Activity-Based Management reveals how unprofitable customers may be destroying up to 400 percent of your net profit – and helps you understand how to prevent this.
Benefits
 See how cost accumulates. SAS Activity-Based Management reveals cost accumulation in a way that employees, not just finance experts, can understand and act on.
 Manage shared service cost allocations. Get a more accurate reflection of true cost and profit by managing how shared service costs get allocated to products, customers, channels and services. Create more accurate budgets and workforce plans.
 Improve processes by identifying activities that don’t add value. Identify cost bottlenecks, rework and non-value-added activity. Model and simulate how changes in "driver" volumes affect costs, profit and value.
 Learn how and why unexpected events impact budgets. Unanticipated events affect not only your budget, but also your resource plans and response time. Accurately, quantify the impact on cost and profit in detail – ahead of traditional financial reports.
 Evolve how you do business. By focusing on which products, customers, channels and services can be leveraged for maximum value, you can take your business to the next level.
Features
Cost and profitability measurement
 Dimensional profitability analysis allows you to calculate and report profitability contributions to business segments such as product, customer and organization.
 Capacity costing and modeling includes available vs. used or idle capacity, what-if analysis for resource planning, as well as activity-based budgeting.
 Account search helps you find dimension members within a deep hierarchy, or search accounts with no cost/assignment or attributes.
 Intramodular assignments assign costs in the same module and allow flexible cost pooling and flowing.
 Reciprocal cost assignments provide simultaneous two-way cost assignments between accounts and trace detailed cost flows.
 External and internal bills of cost can be linked directly to an account.
Modeling
 Client-server, Web-enabled, multiuser architecture with role-based security and support for multiple, concurrent modeling sessions.
 Model database independence and method independence, including top-down, quantity-based assignment or bottom-up, consumption rate modeling.
 User-defined dimensions with various periods and scenario combinations can be used for modeling, and are ready for dimensional views and analysis in OLAP.
 Intuitive workspace to manage models, reports and OLAP views.
 Visual print-and-click assignment creation and views.
 Wizards provide step-by-step guidance for building models.
Analysis and reporting
 Seamless data sharing with SAS Strategic Performance Management allows you to use scorecard metrics as drivers and measures, and to identify activity-based management measures and publish them as metric tables.
 Sixteen standard reporting templates available.
 Multidimensional, dynamic OLAP analysis can integrate with SAS .NET OLAP viewer and create OLAP cubes dynamically.
 Integration with SAS Business Intelligence allows Web-based and self-service reporting and analysis.
 Integration with SAS Add-In for Microsoft Office allows you to access the database through Microsoft Excel for reporting and analysis.
Data integration
 Data warehousing capability.
 Embedded data quality processes.
 The SAS services API allows you to import DBMS staging tables, automate model creation and maintenance, and import/export data to and from another DBMS.
 Ability to read from/write to nearly any data on any technology platform in batch and real time.
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