Discussion Qns and Case Analysis

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nnelnzna04

Computer Science

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Note: There are 2 discussion questions to be answered and a case analysis to be done. discussion questions are independent of case analysis.

1. Discussion Questions: Please write 2 pages length content with detailed explanation for each discussion topic and mention the references for each discussion question separately. No plagiarism please. No need of following APA format for discussion questions. These questions are to be answered independent of case analysis.

a. Describe four common deliverables for an analytics project.

Reference: Chapter 12 from http://www.csis.pace.edu/~ctappert/cs816-15fall/bo...

b. Explain what types of graphs would be appropriate to show data changing over time and why.

Reference: Chapter 12 from http://www.csis.pace.edu/~ctappert/cs816-15fall/bo...

2. Case Analysis - Case attached below

  • Read the Case Study: Read the Case Study: Oracle Product Lifecycle Analytics. (PDF attached below)
  • Write a summary analysis and determine what analysis tools they should be using for analysis. Please use APA format.

Writing Requirements

  • The content should be 3 pages in length (excluding cover page, abstract, and reference list)
  • Use APA format to complete the paper.
  • No Plagiarism

Unformatted Attachment Preview

ORACLE DATA SHEET ORACLE PRODUCT LIFECYCLE ANALYTICS ACTIONABLE PRODUCT INSIGHT KEY BUSINESS BENEFITS  Make fact-based product program decisions aligned to company goals for better business results  Improve project execution by deeper insight into project progress  Increase customer satisfaction by greater visibility into customer issues and response time The Oracle Product Lifecycle Analytics solution enables companies to gain actionable insight into large volumes of product lifecycle data from all operations and entities, exposing critical trends and metrics that enable business users at all levels to make key product decisions. With increased visibility into the new product development pipeline, product risks, and quality trends, companies can make the most informed product investment decisions, mitigate new product risks, increase responsiveness to product complaints, and improve customer satisfaction.  Improve product quality by better insight into failure mode and corrective action trends  Minimize new product risks by monitoring and mitigating part andmanufacturer risks across cost, quality and material compliance INFORMATION TECHNOLOGY  Accelerate deployment with reduced cost and risk by leveraging extensive pre-built Oracle Product Lifecycle Analytics Dashboards, Reports and Metrics  Reduce the Total Cost of Ownership (TCO) and respond to changing needs by using Oracle Product Lifecycle Analytics Configurator to productively create and modify mapping changes  Integrate other Enterprise data with Oracle Product Lifecycle Analytics using pre-built templates for Revenue, Units Shipped, Cost, Demand and Inventory. The Visibility Challenge Most companies struggle to obtain timely and relevant product information. The explosion in both volume and complexity of product data, which expands rapidly in a global environment, produces a multitude of information to synthesize. Numerous departmental initiatives to develop custom reports remain narrow in scope and cannot provide the necessary depth needed to enable enterprise product decisions. The result is an ad-hoc environment lacking collaboration, historical knowledge, and control, which exposes organizations to high risk and poor performance. Overview of Oracle Product Lifecycle Analytics Oracle Product Lifecycle Analytics provides business ready analytical applications that enable companies to implement quickly with limited risk and at a fraction of the cost required to build traditional business intelligence solutions. In addition, Oracle Product Lifecycle Analytics provides enterprise data templates that help to bring in relevant enterprise information needed to make comprehensive product decisions. They provide rapid time to value, better business results and high return on investment. Improved Innovation and Alignment Oracle Product Lifecycle Analytics helps companies focus on product programs to provide comprehensive insight into projects and process dependencies that impact these programs. This insight enables product owners to not only respond to daily challenges but also identify macro-level process issues leading to better executive decisions. Some examples of such insight are: “Oracle’s Agile PLM applications are vital to our ability to achieve our number one goal – consistently delivering the best nutrition and weight management products in the world.” Mark Schissel, CIO, Herbalife  Bottlenecks in the product change approval process that could negatively impact the phases of several product programs  Parts with high cost/ quality/ material compliance risks associated with the product programs that could adversely impact success  Delays in corrective action process that could affect several new product programs Improved Business Performance Companies depend on timely and relevant product information to evaluate product performance. However, this insight is often lacking since the data is scattered in disparate systems such as the Product Lifecycle Management (PLM), Supply Chain Management ORACLE DATA SHEET (SCM) and Customer Relationship Management (CRM) systems. Oracle Product Lifecycle Analytics provides pre-built templates for importing relevant product information to save the time and cost in collecting the data, as well as enrich the analysis feeding the decision making process. Examples of the template based analysis are :  Impact evaluation of project delays on anticipated revenue to make fact based project reprioritization decisions  Benchmarking of product lines and suppliers by normalizing quality incidents per unit shipment, which helps companies identify their top and bottom performers and raise quality levels  Total assessment of product change decisions based on lowest impact to existing inventory Faster Implementation, Lower Risk, and Better Results with Sophisticated Analytics Providing actionable insight into each stage of the product lifecycle requires a comprehensive set of metrics with the ability to change as business requirements evolve. Oracle Product Lifecycle Analytics provides a vast set of pre-built analytics spanning product and project portfolio, product change and risk, and product quality. In addition, Oracle Product Lifecycle Analytics provides the Configurator tool that facilitates rapid mapping changes as needed. These Oracle Product Lifecycle Analytics capabilities enable faster deployment times and reduce the total cost of ownership. Oracle Product Lifecycle Analytics has been built using the industry leading analytics platform and data integration tool: Oracle Business Intelligence Enterprise Edition (OBIEE ) and Oracle Data Integrator (ODI). Product and Project Portfolio Analytics Timely visibility into qualitative progress of projects, phases, and gates are essential in making project and resource prioritization decisions to meet the time to market and revenue goals. Oracle Product Lifecycle Analytics provides Phase Gate and Project execution analysis that provide metrics and trends for delayed projects, phases, and gates across critical business areas such as product lines, regions, and divisions. As the actual performance of projects, phases, and gates varies, Oracle Product Lifecycle Analytics spotlights the variations relative to the expected performance in project templates, helping companies continuously adapt and improve phase gate processes to increase efficiency and consistently bring products to market as scheduled. Product Change and Risk Management Analytics Oracle Product Lifecycle Analytics delivers visibility into product changes that helps companies to closely measure, monitor and accelerate justified product changes resulting in quicker turnarounds and improved time to market. At the same time, companies can also monitor the reasons for un-warranted and preventable changes to minimize costly re-work. Oftentimes companies are late to discover vulnerabilities in new products, even after substantial development investment has already been made. Oracle Product Lifecycle Analytics provides comprehensive visibility into part risks associated with new product such as material compliance, cost, quality and manufacturer part risk early on, significantly reducing risks before the designs are released to full scale manufacturing. 2 ORACLE DATA SHEET Product Quality Analytics Figure 1. Product Quality dashboard Customer satisfaction and brand reputation are usually the first to suffer when quality issues arise. Product Quality Analytics helps quality organizations establish and manage Key Performance Indicators (KPI’s) to raise product quality, reduce risk, and improve end user experience. Oracle Product Lifecycle Analytics helps establish the most effective priorities by providing insight into vital product issues impacting key customers and markets, helping companies respond fastest to the most important problems. Tracking the cycle time of key quality processes ensures consistency and speed across customer and supplier issues and provides deep insight into failure mode trends that help accurately determine necessary corrective actions. PLM for Process Portfolio and Specification Analytics Oracle Product Lifecycle Analytics provides comprehensive portfolio analysis to enable resource allocation and product investment decisions based on priority, risk and opportunity of projects available in the pipeline. This fact based decision approach helps businesses focus and execute on profitable initiatives. Project execution analysis provides visibility into delayed and vulnerable projects and phases, allowing companies to pro-actively manage risk and consistently meet in-market launch dates. While past data may otherwise be scattered and therefore unactionable, Oracle Product Lifecycle Analytics tracks historical performance to help identify redundancies and bottlenecks, enabling continuous process improvements and productivity gains. Specifications and cycle times for each ingredient or other raw material are closely monitored to maintain tight control of turnaround time of end products. Better Decisions, Faster Making the right decision at the right time depends a lot on the information available. Empowering decision-makers at all levels of the business with the most accurate, relevant data in a timely manner is critical to success no matter what product you bring to market. Deploying quickly with fast return on investment, Oracle Product Lifecycle Analytics gives companies powerful visibility into their business with sophisticated tools, rich analysis, and straightforward dashboards to make the right decisions that drive performance excellence and improve customer satisfaction. Contact Us For more information about Oracle Product Lifecycle Analytics, visit oracle.com/plm or call 3 ORACLE DATA SHEET +1.800.ORACLE1 to speak to an Oracle representative. Copyright © 2011, Oracle and/or its affiliates. All rights reserved. This document is provided for information purposes only and the contents hereof are subject to change without notice. This do cument is not to any other warranties or conditions, whether expressed orally or implied in law, including implied warranties and conditions of merchantabili We specifically disclaim any liability with respect to this document and no contractual obligations are formed either directl y or indirectly by this be reproduced or transmitted in any form or by any means, electronic or mechanical, for any purpose, without our prior written permission. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Intel and Intel Xeon are trademarks or registered trademarks of Intel Corporation. All SPARC trademarks are used under licens e and are trad SPARC International, Inc. AMD, Opteron, the AMD logo, and the AMD Opteron logo are trademarks or registered trademarks of Advanced M trademark licensed through X/Open Company, Ltd. 0611 4
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