About IBM Certified Specialist – Midrange Storage Sales V1 Certification Exam

The 000-450 – Midrange Storage Sales V1 exam is the test that you need to pass if you wish to gain the IBM Certified Specialist – Midrange Storage Sales V1 certification. If you successfully pass the 000-450 exam, your primary role as a specialist will be to use the tools and resources necessary to sell storage solutions that are appropriate for individual customer needs and requirements.

Since you will be dealing with customers on an ongoing basis, the 000-450 exam is designed to make sure that you have up to date knowledge on a variety of IBM products. These products include the Storwize V7000 Unified, LTO-5 Tape Products, SAN Volume Controller, FlashCopy Manager, Tivoli Storage Manager, Midrange Tape Systems, ProtecTIER Appliance, System Storage DS5000 and DS3500, and Real-time Compression Appliance. Familiarity with Techline, Partnerline, eConfig, and PartnerWorld are also recommended.

Additionally, to be a successful candidate, you should be able to gather customer requirements and understand how to determine product positioning of IBM storage products. You should be able to communicate the features and benefits of IBM storage products to customers so that they will be able to see how IBM products can solve their problems.

Before taking the 000-450 exam, IBM recommends that you have at least twelve months of work experience. You may also find that passing the exam is easier if you use an exam preparation service, such as TestsLive, to review the concepts found on the exam.

Pricing and Profitability Management, Julie Meehan

Pricing and Profitability Management, Julie Meehan
Pricing and Profitability Management: A Practical Guide for Business Leaders PDF Download Ebook. Julie Meehan provides comprehensive reference for any professional to know the capabilities and competencies required for efficient Pricing and Profitability Management.

Author describes each of the six competencies (Pricing Technique, Price Execution, Advanced Analytics and Optimization, Organizational Alignment and Governance, Pricing Expertise and Knowledge Administration, and Tax and Regulatory Effectiveness) in detail.

This book addresses how an integrated strategy to pricing improvement will construct a sustainable, aggressive benefit for any organization. The final word “methods to” guide for any executive or manager thinking about price management, the book presents a holistic, complete framework that reveals how integrating these pricing categories into a cohesive program results in spectacular beneficial properties that can’t be achieved by way of a single-pronged approach.

This text presents a comprehensive framework for more effectively managing pricing and profitability by indentifying the six key classes of pricing and profitability management to show you find out how to achieve a competitive edge by managing pricing and profitability.

Taking a comprehensive view of pricing, companies can place themselves to faucet an enormous source of shareholder value-the power to set and implement worthwhile prices, not simply as soon as, however time and again in response to marketplace changes and evolving business needs-and this book will show you how to solve these issues.

Pricing and Profitability Management: A Practical Guide for Business Leaders [Hardcover]

Julie Meehan, Mike Simonetto, Larry Montan and Chris Goodin
Wiley; 1 edition (July 12, 2011)
320 pages

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Forecasting, Structural Time Series Models and the Kalman Filter

Forecasting, Structural Time Series Models and the Kalman Filter
Forecasting, Structural Time Series Models and the Kalman Filter Free PDF Download. Andrew C. Harvey offers a synthesis of ideas and materials that ordinarily seem separately in time series and econometrics literature, presenting a complete assessment of both theoretical and utilized concepts.

Maybe the most novel characteristic of the book is its use of Kalman filtering together with econometric and time collection methodology. From a technical point of view, state space models and the Kalman filter play a key role in the statistical remedy of structural time sequence models. This technique was initially developed in management engineering however is becoming more and more vital in economics and operations research.

The book is primarily involved with modeling financial and social time series and with addressing the particular problems that the remedies of such series pose. Writer has made numerous important contributions to the literature of forecasting, time series, and Kalman filters. It’s a practical book in the sense that discusses the definitions, interpretations, analyses of structural time collection models and illustrates the techniques.

It accomplishes the tough activity of constructing the subject accessible to students and practitioners having comparatively modest preparation in mathematics and statistics. I like to recommend it for acquisition by any undergraduate/graduate sciences or arithmetic library, and it will be an excellent choice for a wide variety of classroom uses.

Forecasting, Structural Time Series Models and the Kalman Filter

Andrew C. Harvey
Cambridge University Press (April 26, 1991)
572 pages

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