Category: Business Intelligence

Background
Read Pearson Chapter 3 – Descriptive Analytics II: Business Intelligence and Data Warehousing
Business performance management (BPM) refers to the business processes, methodologies, metrics, and technologies used by enterprises to measure, monitor, and manage business performance.
BPM is also known as corporate performance management (CPM), enterprise performance management (EPM), and strategic enterprise management (SEM) and has evolved to become a type of BI tool/technique. The most significant differentiator of BPM from any other BI tools and practices is its strategy focus. BPM encompasses a closed-loop set of processes that link strategy to execution thus optimizing business performance.
Because business performance management activities in large organizations often involve the collection and reporting of large volumes of data, many software vendors, particularly those offering business intelligence tools, market products intended to assist in this process. Because of this marketing effort, business performance management is often incorrectly understood as an activity that necessarily relies on software systems to work, and many definitions of business performance management explicitly suggest software as being a definitive component of the approach.
Since 1992, business performance management has been strongly influenced by the rise of the balanced scorecard framework, often depicted as a dashboard. It is common for managers to use the dashboard and balanced scorecard framework to clarify the goals of an organization, to identify how to track them, and to structure the mechanisms by which adjustments will be triggered to improve on the corporate strategy and direction.
In the past, owners have sought to drive strategy down and across their organizations, transform these strategies into actionable metrics and use analytics to expose the cause-and-effect relationships that, if understood, could give insight into quality decision-making.
Discussion Topic #1:
Business Performance Management (BPM)
BPM encompasses five basic processes: Strategize, Plan, Monitor, Act and Adjust. Select one of these processes and research the types of Software tools and applications that are available to support it.
List and briefly describe the phases of the DMAIC model and compare the five steps to the five BPM processes.

Week 2 Working with the Strategic Business Steering Committee …
APA Essay Requirements
General essay guidelines:
Use white 8 ½ x 11” paper format.
Make 1-inch margins on the top, bottom, and sides
The first word in every paragraph should be indented one half inch.
Professor recommends using Times New Roman, Verdana or Arial font, size 12pt.
Double space the entire essay paper
APA Essay Components
Each week’s essay should include these four major sections:
Title Page
Abstract (Tell me what you are going to tell me and recommend)
Main Body (1 < pages < 5) References (created with MS Word – see Reference tab) TOPIC for Wk2 Essay Working with the Strategic Business Steering Committee In a situation where we must present our analytical conclusions to the Strategic Business Steering Committee, how does one determine the right chart for the business project being analyzed? Explain and defend your reasoning.

In this assignment you will import the Orders_Northwind.csv Download Orders_Northwind.csvinto SAS. Next, you will examine the variables in the dataset using the variables list document Download variables list document. Now, create a business question this data can answer. Finally, extract the variables necessary to answer the business question and load them into a SAS dataset for analysis. Your analysis should include the necessary descriptive analytics tests to communicate your understanding of what story the data is telling us.
Your deliverables for this assignment are:
Business questions
Screenshot of the imported dataset. Screenshots must include the date and time of screen capture.
Screenshot of the loaded dataset. Screenshots must include the date and time of screen capture.
Descriptive statistics to include charts, graphs, tables, business insights, and the story the data is telling us.
Limit the charts, graphs, and tables in your analysis report to only those figures needed to support your findings and analysis. Do not include statistics outputs that are not relevant to your analysis. Your analysis report should be comprehensive yet concise, specific, and most importantly, insightful.