Home > Store

Principles of the Business Rule Approach

Register your product to gain access to bonus material or receive a coupon.

Principles of the Business Rule Approach

Book

  • Sorry, this book is no longer in print.
Not for Sale

Description

  • Copyright 2003
  • Dimensions: 7-3/8" x 9-1/4"
  • Pages: 400
  • Edition: 1st
  • Book
  • ISBN-10: 0-201-78893-4
  • ISBN-13: 978-0-201-78893-8

The idea of Business Rules has been around for a while. Simply put, a Business Rule is a statement that defines or constrains some aspect of the business. In practice they are meant to reduce or eliminate the delays, waste, and frustration associated with the IT department having to be involved with almost every action affecting an organization's information systems. The advent of Web services has created renewed interest in them. There are now several well established rules-based products that have demonstrated the effectiveness of their use. But until now there has not been a definitive guide to Business Rules. Ron Ross, considered to be the father of Business Rules, will help organizations apply this powerful solution to their own computer system problems. This book is intended to be the first book that anyone from an IT manager to a business manager will read to understand what Business Rules are, and what how they can be applied to their own situation.

Sample Content

Online Sample Chapters

Principles of the Business Rule Approach: Areas of Opportunity

Principles of the Business Rule Approach: The 'Flow' and the 'Know'

Principles of the Business Rules Approach

Downloadable Sample Chapter

Click below for Sample Chapter(s) related to this title:
Sample Chapter 1

Table of Contents



Preface.

I. THE BUSINESS PROBLEM: WHY BUSINESS RULES?: READINGS FOR BUSINESS PROFESSIONALS.

Overview.

1. What's This about Business Rules?: The Problem and the Fix in a Nutshell.

A Telltale E-Mail Trail.

The Case for Business Rules.

When Is a Door Not a Door?

The Business Rule Difference.

2. Areas of Opportunity: Changing the Face of Business.

Where Does the Business Rule Approach Apply?

The “Re's” of Business Rules.

Let's Make a Deal.

A Killer App for Business Rules.

Reempowerment for the Company's Provisioning Processes.

There's a Lot More to Reference Data Than Just Data!

Business Rules as Customer Interface.

New Ways to Link Up.

What about Web-Based Commerce?

Harnessing the Dynamics of an Open Rule Marketplace.

3. Serving Up Knowledge: The Need to Know.

What Is Knowledge Management?

And What Does It Have to Do with Business Rules?

Personalized, Never-Ending, On-the-Job Training.

Knowledge Companions for 21st-Century Line Workers.

4. What about IT Projects?: Where the Rubber Meets the Road.

If We Had Already Started Coding….

Meeting Those Project Deadlines.

Two Things Wrong with Traditional Business Systems Development.

Yes, There Is a Better Way!

What Business-Driven Really Means.

Getting to the Right Mind-Set.

More on What Business-Driven Really Means.

The Business Model.

The Policy Charter.

A Small-Sized Big Picture.

The True Business Analyst.

The Go-To Guy for 21st-Century Business Systems.

II. BUSINESS RULE CONCEPTS: THE MECHANICS OF BUSINESS SYSTEMS.

Overview.

The Marvelous Organism.

A New View of Business Systems.

5. Organizing Basic Business Knowledge: What You Need to Know about Terms and Facts.

Terms and Facts.

About Terms.

About Facts.

Using Graphic Fact Models.

The Fact Model and Behavior.

6. Exercising Control: What You Need to Know about Rules.

Rules for Control.

Rules and Events.

About Violations of Rules.

Implications of Rules Playing the Central Role.

Ways in Which Rules Can Exercise Control: Functional Categories of Rules.

Rejectors.

Producers.

Projectors.

Expanding the Coverage of Rules.

Suggestions and Guidelines.

Handling Exceptions.

Rules and Guidance in the Business Rule Approach.

7. Doing Work: What You Need to Know about Processes.

Challenges Facing Businesses Today.

Putting Business Rules to Work.

Building on What You Know.

Basing Procedures on Terms and Facts.

Basing Procedures on Rule Independence.

Including People in Scripts.

Implications for the Business Side.

Back to Training.

Building on What You Already Know How to Do.

Normal Reuse of Scripts.

Abnormal Reuse of Scripts.

III. BEST PRACTICES FOR EXPRESSING RULES: BRS RULESPEAK.

Overview.

8. Expressing Rules: The Dos and Don'ts.

Not How, Not Where, Not Who, Not When.

Not Procedural.

Not Inscrutable.

Not Impossible.

Always Built on Terms and Facts.

No AWOL Facts.

No Fluff.

No Plural Subjects.

Careful about Iffy Starts.

No AWOL Subjects.

Careful about Actors as Subjects.

No Commands.

No CRUD.

Careful about Events as Subjects.

Careful to Qualify

Careful to Extract Embedded Computations.

Careful to Isolate Your Logic.

And No Etc..

9. Developing Rule Statements: The Basics of BRS RuleSpeak.

About the Rule Sentence Templates.

Success Factors in Using the Templates.

Fundamental Concepts.

Every Rule Has a Functional Category.

Every Rule Should Have a Subject.

Every Rule Should Use a Rule Word.

Every Rejector Has a Flip Side.

Every Permission Statement Should Use a Permission Word.

Any Rule Can Be Qualified.

Any Rule Can Include a Time Bracket.

Any Rule Can Reference a Value.

Basic Usage Notes.

Using Shall.

Using Should.

Using May.

Using No.

Using Not…Not.

Using Or and And.

Special Usage Notes.

Using Rule Types in RuleSpeak.

Using A, Some, and Each.

Using Strictly ANDed and ORed Conditions.

10. Functional Categories of Rules: The BRS Rule Classification Scheme.
11. Sentence Patterns for Rule Statements: The RuleSpeak Templates.

The Basic RuleSpeak Templates at a Glance.

12. Expressing Business Logic by Using Decision Tables: The RuleSpeak Approach.

When Decision Tables Should Be Used.

Decision Tables Involving One Evaluation Term.

Decision Tables Involving Two Evaluation Terms.

Decision Tables Involving Three or More Simple Evaluation Terms.

Decision Tables Involving More Complex Sets of Decision Criteria.

Appropriate Outcomes for Decision Tables by Functional Category of Rule.

IV. WHAT IS THE BUSINESS RULE APPROACH?: READINGS FOR IT PROFESSIONALS.

Overview.

13. More Principles of the Business Rule Approach: A New View of Business Logic.

The Basic Principles of Rule Management.

Databasing Your Rules.

What Is a Business Rule?

Separating the “Know” from the “Flow”.

Business Rules and the “Flow”.

Correcting Some Misconceptions about Business Rules.

Business Rules and the “Know”.

Rules for Processes and Rules for Products/Services.

Why Business Rule Methodology Is Different.

What It Means to Mean Business.

Analysis Paralysis.

Preventing the Disease Behind the Symptoms.

14. More about Fact Models: Structuring the Basic Business Knowledge.

Critical Success Factors for Fact Models.

Organizing the Basic “Know” Part.

Doing the Data Model Right for Business Rules.

Using Rules to Reduce the Impact of Change.

V. A THEORY OF BUSINESS RULES: A TUTORIAL ON THE FORMAL BASIS FOR BUSINESS RULES AND BUSINESS RULE NOTATION.

Overview.

15. Three Perspectives on Business Rules: A Framework for Formal @AHEADS = Discussion.

The Three Perspectives.

A Word about Terms.

A Word about Types.

Special Terminology.

16. The Theoretical Foundation of Rules: About Formal Constraints.

The Formal Definition of Rule.

More on Terms.

Terminology: Instances and Classes, Values and Variables.

Rule Notation.

Constraints: Rejection versus Inference.

17. The Theoretical Foundation of Facts: About Predicates.

Predicates and Facts.

Predicate at the Business Manager's Perspective.

Predicate at the System Developer's Perspective.

Predicate at the Technical Designer's Perspective.

Facts: Type versus Instance.

The Existence Principle.

A Brief Introduction to R-Notation for Facts.

Inferencing and Deduction Revisited: Using Predicates.

18. Higher-Order Rules: Pattern-R Rule Types.

The Definition of Pattern-R Rule Types.

Examples of Pattern-R Rules.

Example 1: The Monitor Rule.

Example 2: The Union Rule.

The Assembly of Pattern-R Rule Types.

Part 1: The Yield-Value Function.

Part 2: The Truth-Valued Function.

Assembly of Example 1: The Monitor Rule.

Assembly of Example 2: The Union Rule.

Appendices for Part V.

Appendix A. Evaluating the Truth Value of a Rule.

Appendix B. Terms at the Technical Designer's View.

Appendix C. The Fundamental Kinds of Rules.

Appendix D. About the IF…THEN…Syntax.

Appendix E. Halpin's Definitions for Fact and Related Terms.

Appendix F. Semantics in the Relational Model.

Appendix G. Basic Operators and Higher-Order Rule Types.

Appendix H. Formalization of the Pattern-R Approach.

Appendix I. What Does Declarative Mean?

Appendix J. The “Mary” Inferencing Example Step-by-Step.

Appendix K. More on R-Notation for Facts.

Appendix L. Special Built-In Fact Types in R-Notation.

Glossary.
Bibliography
Index. 0201788934T01212003

Preface

The driver for business systems should always be business need. Business workers should be involved in expressing this need in very direct, concrete ways. Applying these principles in practice means taking a fresh approach to business systems that will profoundly affect the roles of both business professionals and information technology (IT) professionals.

This fresh approach can be called business analysis, and its basic deliverable a business model. Unfortunately, these terms are often used very loosely. There are large numbers of system developers who think their deliverables would qualify as business models, but do not. Rather than try to explain here--it does require some background--I will leave that topic for Part I. For now, let's simply call the fresh approach business-driven and move on.

A basic ingredient of the business-driven approach--a very exciting one--is business rules. Before continuing, let me clarify something. We could certainly talk about business rules without necessarily discussing everything else needed for a business-driven approach. In other words, we could discuss business rules separately.

But why would we want to? If business need is the driving factor for business systems, then both the business-driven approach and business rules should be put on the table and served together. That way the business can achieve the very best business solutions to the challenges it faces in the 21st century. In a nutshell, that describes the basic mindset of this book.

That brings me to the audience, or more accurately, to the audiences for this book. In general terms, there are three audiences: Business professionals, IT professionals, and academics. In today's world, there are significant gaps between these three communities--and that in itself is part of the problem. To create the best business solutions possible, these three communities must come closer together in common purpose and approach. This book will help show the way.

About Technology

I will say a few words to each of these three communities in a moment, but first let me say a word about technology. Because I believe so strongly that business systems should be driven by business need, I have purposely avoided discussing technology (with some difficulty!) throughout the book. But the topic certainly does deserve comment, so let me talk about it briefly.

We are on the verge of a huge new wave of technological innovation focused on the knowledge capabilities of the business. Think of business rules (which I collectively call business logic) as a first--and in many respects relatively modest--step in that direction.

The plain truth is that such technology has never been a significant part of mainstream business IT. Expert systems made a minor foray into that realm in the 1980s, but had very little impact. There were many reasons why, but perhaps the most important was technological. Computing architectures then (and since then until recently) were basically monolithic, and provided no easy way to accommodate "outside" services.

Without going into detail, that fundamental barrier is now being eliminated, and plug-in services are becoming easier and easier to incorporate. And what better service to incorporate than direct knowledge support?!

"Knowledge support" does sound a bit abstract. There are several terms in current usage for such a service, including rule engine and decision-management platform. In Part V of this book, we suggest business logic server. By whatever name, we predict without hesitation that such services will be part of all major business software platforms within a mere matter of years.

To many, this technology will seem like a tidal wave from nowhere. But that's not really true. In fact, the theoretical foundations of this new technology go back many, many years, again as discussed in Part V. Commercial offerings date to the mid-1980s; applied research goes back well before that. Refer to the special boxed item opposite for a brief review of where this technology stands at present.

Business Logic Technology: Near-Term Directions

In the near future, commercial technology servicing business logic is likely to be offered in several different ways, including the following.

  • Stand-alone component. In this case, the business can acquire a best-fit or best-of-breed package and incorporate it into their computing architecture as appropriate.
  • Coupled with a workflow engine. This powerful combination features automated process management with coordination and decision-making provided by the business logic technology. The result permits not only more sophisticated workflow control, but automation of selected decision-making tasks as well.
  • Bundled into other packaged software. Many other kinds of software capabilities, including CRM (customer relationship management) and ERP (enterprise resource planning), provide natural niches for business logic technology, which will undoubtedly be exploited to the full extent their architectures permit.

And the list does on. A big question mark for the future concerns database management systems (DBMS). In Part V I argue that in the long run, database support should be integrated within a business logic server.

Again, our focus in this book is not technology, but rather where do the business rules come from? That brings us to the business rule approach.

About the Business Rule Approach

Like the technology, the business rule approach also did not suddenly appear from nowhere. In fact, the core concepts (as described in Part II) date to the mid to early 1990s, and many of the related techniques and methodologies (including those in Part III) have been thoroughly battle-tested by pioneering organizations during the late 1990s and early 2000s. (The same is true, incidentally, about business-driven approaches.) So what we talk about in this book is not unproven theory or academic conjecture, but pragmatic, real-world stuff.

The interesting and perhaps unique thing about the business rule approach is that it did not arise as a response to any emerging new class of software tools--knowledge-oriented or otherwise. (Again, the same is true for business-driven approaches.)

Rather, the business rule approach is a real-world, grass-roots movement whose driving force is business success, not technology. It arose from the vision of dedicated professionals with many years' experience in the trials and challenges of business software. Their goal: to offer companies the best possible approach to developing business solutions involving automated systems.

To Business Professionals

For that reason, it is appropriate that I address members of the business-side community first. To repeat, this is not a book about technology, but rather one about business opportunity. The key question should therefore be why your knowing about business rules is important as a business proposition.

So exactly what is the value proposition of business rules? Part I provides the answer, but let me give you a short version here, then invite you to read on. Refer to the special boxed item opposite.

What Problems the Business Rule Approach Addresses

Ad hoc Rules. Most businesses have no logical approach for defining their business rules As a result, business workers often make up the rules as they go along. This leads to confusion, contradiction, and operational inefficiency. After-the-fact resolution of these problems wastes time and resources, and causes frustration for customers and staff alike. The larger the organization, the bigger the problem. Also, since many business rules involve monetary transactions (e.g., should a customer be given a discount, and if so, how much), it can also directly affect the bottom line.
Business Rule Solution: A structured approach to help you think through rules before the fact.
Miscommunication. Misunderstanding of key business concepts inevitably results in miscommunication. Does preferred customer discount mean the same across all departments? If not, what are the differences? What rules apply? Do these rules differ for different areas of the business? Are the rules consistent?
Business Rule Solution: A clear set of concepts on which rules can be directly based.
Inaccessible Rules. Finding out what rules apply to a given business situation often involves an open-ended search through multiple sources. It is not uncommon in the end to resort to the application source code. Pursuing rules in this fashion is time-consuming, inefficient and inaccurate.
Business Rule Solution: A means to manage business rules, providing direct accessibility.
Massive Differentiation. Many businesses seek to support highly individualized relationships with growing numbers of customers and other partners for ever more complex product/services. How can businesses massively differentiate between business parties, and at the very same time, conduct each business transaction faster, more accurately, and at ever lower cost?
Business Rule Solution: A rule-based approach featuring rapid development and deployment of rules.
Keeping Up To Speed. Rapid change, at an ever faster pace, is a fact of life. In the web age, implementation of changes is expected almost instantaneously. How can line workers consumed with day-to-day activity ever hope to keep up?
Business Rule Solution: Real-time delivery of business logic to knowledge workers as errors actually occur, creating a seamless, never-ending, self-training environment.
Knowledge Walking Out the Door. By and large, baby-boomers created much of the operational business capacity and operational systems we see in place in larger organizations today. Much of the related knowledge still sits in their heads--and nowhere else. What will happen when they retire? On a smaller scale, vital operational knowledge walks out the door almost every day.
Business Rule Solution: A systematic way of capturing, documenting and retaining the business rules.

Part I also discusses what business-driven approaches are about. From a business perspective, the business rule approach fits hand-in-glove with them. Combined, they are potent indeed. I hope Part I will prove so compelling in this regard that you will read on. I have tried to use a readable, non-technical style throughout the book, so there is much to be gained from going as deep into the book as you care to go.

Part II explains the basic ideas of the business rule approach using a broad analogy to the human body. Continuing from there (or skipping ahead if you chose), Part III provides a comprehensive language, called BRS RuleSpeak™, to capture and express your business rules. You will find that material informative and in places, perhaps entertaining.

Part IV is officially directed toward IT professionals, but it is actually a continuation of, or more accurately a different perspective on, the material in Part I. I believe it is very important for business professionals and IT professionals to speak with the same voice; that material should help your organization achieve it. By the way, the first Section of Part IV is the only other place in the book I talk about business-driven approaches directly.

To IT Professionals

Just a word first about business-driven approaches first - I believe they are closely aligned with the architecture-based or model-based development strategies now emerging in the industry. In particular, a business-driven approach provides an excellent front-end for these strategies in the form of the business model. A business model represents a top-down, multi-aspect blueprint of the business whose contents are driven by business professionals. That's a great starting point for system design and development of an application system (or deployment of an application package). These ideas are developed in Parts I and IV of the book.

If your interest centers specifically on business rules, you can concentrate on Parts II and III. There are important portions of Part IV devoted to rule management, rule capture, and data design you will also not want to miss.

The main objective for all this material is to help you gain a deep understanding of what business rules are about, and make them a comfortable part of your professional toolkit. I think you will be quite excited by the powerful ideas and techniques that await you.

To Academics

By academics, I do not mean only those readers who happen to be in universities or research labs. I mean any serious student of logical systems - systems here in the sense of theory, not applications. I also mean those who are just plain intellectually curious. Part V is aimed toward all such readers.

Part V provides answers to some of the big questions of business rules, such as their basis in formal theory--the predicate logic. You should not let that intimidate you. Part V is written as a tutorial so that the ideas are as accessible as possible to all. At the same time, we anticipate that this material will provide the basis for continuing research--some of which has already commenced.

The bottom line is this. You know you are on to something really powerful when good theory and successful practices converge. That convergence is exactly what has happened with business rules, and it is a very exciting time to be in the field!



0201788934P09202002

Index

Click below to download the Index file related to this title:
Index

Updates

Submit Errata

More Information

InformIT Promotional Mailings & Special Offers

I would like to receive exclusive offers and hear about products from InformIT and its family of brands. I can unsubscribe at any time.

Overview


Pearson Education, Inc., 221 River Street, Hoboken, New Jersey 07030, (Pearson) presents this site to provide information about products and services that can be purchased through this site.

This privacy notice provides an overview of our commitment to privacy and describes how we collect, protect, use and share personal information collected through this site. Please note that other Pearson websites and online products and services have their own separate privacy policies.

Collection and Use of Information


To conduct business and deliver products and services, Pearson collects and uses personal information in several ways in connection with this site, including:

Questions and Inquiries

For inquiries and questions, we collect the inquiry or question, together with name, contact details (email address, phone number and mailing address) and any other additional information voluntarily submitted to us through a Contact Us form or an email. We use this information to address the inquiry and respond to the question.

Online Store

For orders and purchases placed through our online store on this site, we collect order details, name, institution name and address (if applicable), email address, phone number, shipping and billing addresses, credit/debit card information, shipping options and any instructions. We use this information to complete transactions, fulfill orders, communicate with individuals placing orders or visiting the online store, and for related purposes.

Surveys

Pearson may offer opportunities to provide feedback or participate in surveys, including surveys evaluating Pearson products, services or sites. Participation is voluntary. Pearson collects information requested in the survey questions and uses the information to evaluate, support, maintain and improve products, services or sites, develop new products and services, conduct educational research and for other purposes specified in the survey.

Contests and Drawings

Occasionally, we may sponsor a contest or drawing. Participation is optional. Pearson collects name, contact information and other information specified on the entry form for the contest or drawing to conduct the contest or drawing. Pearson may collect additional personal information from the winners of a contest or drawing in order to award the prize and for tax reporting purposes, as required by law.

Newsletters

If you have elected to receive email newsletters or promotional mailings and special offers but want to unsubscribe, simply email information@informit.com.

Service Announcements

On rare occasions it is necessary to send out a strictly service related announcement. For instance, if our service is temporarily suspended for maintenance we might send users an email. Generally, users may not opt-out of these communications, though they can deactivate their account information. However, these communications are not promotional in nature.

Customer Service

We communicate with users on a regular basis to provide requested services and in regard to issues relating to their account we reply via email or phone in accordance with the users' wishes when a user submits their information through our Contact Us form.

Other Collection and Use of Information


Application and System Logs

Pearson automatically collects log data to help ensure the delivery, availability and security of this site. Log data may include technical information about how a user or visitor connected to this site, such as browser type, type of computer/device, operating system, internet service provider and IP address. We use this information for support purposes and to monitor the health of the site, identify problems, improve service, detect unauthorized access and fraudulent activity, prevent and respond to security incidents and appropriately scale computing resources.

Web Analytics

Pearson may use third party web trend analytical services, including Google Analytics, to collect visitor information, such as IP addresses, browser types, referring pages, pages visited and time spent on a particular site. While these analytical services collect and report information on an anonymous basis, they may use cookies to gather web trend information. The information gathered may enable Pearson (but not the third party web trend services) to link information with application and system log data. Pearson uses this information for system administration and to identify problems, improve service, detect unauthorized access and fraudulent activity, prevent and respond to security incidents, appropriately scale computing resources and otherwise support and deliver this site and its services.

Cookies and Related Technologies

This site uses cookies and similar technologies to personalize content, measure traffic patterns, control security, track use and access of information on this site, and provide interest-based messages and advertising. Users can manage and block the use of cookies through their browser. Disabling or blocking certain cookies may limit the functionality of this site.

Do Not Track

This site currently does not respond to Do Not Track signals.

Security


Pearson uses appropriate physical, administrative and technical security measures to protect personal information from unauthorized access, use and disclosure.

Children


This site is not directed to children under the age of 13.

Marketing


Pearson may send or direct marketing communications to users, provided that

  • Pearson will not use personal information collected or processed as a K-12 school service provider for the purpose of directed or targeted advertising.
  • Such marketing is consistent with applicable law and Pearson's legal obligations.
  • Pearson will not knowingly direct or send marketing communications to an individual who has expressed a preference not to receive marketing.
  • Where required by applicable law, express or implied consent to marketing exists and has not been withdrawn.

Pearson may provide personal information to a third party service provider on a restricted basis to provide marketing solely on behalf of Pearson or an affiliate or customer for whom Pearson is a service provider. Marketing preferences may be changed at any time.

Correcting/Updating Personal Information


If a user's personally identifiable information changes (such as your postal address or email address), we provide a way to correct or update that user's personal data provided to us. This can be done on the Account page. If a user no longer desires our service and desires to delete his or her account, please contact us at customer-service@informit.com and we will process the deletion of a user's account.

Choice/Opt-out


Users can always make an informed choice as to whether they should proceed with certain services offered by InformIT. If you choose to remove yourself from our mailing list(s) simply visit the following page and uncheck any communication you no longer want to receive: www.informit.com/u.aspx.

Sale of Personal Information


Pearson does not rent or sell personal information in exchange for any payment of money.

While Pearson does not sell personal information, as defined in Nevada law, Nevada residents may email a request for no sale of their personal information to NevadaDesignatedRequest@pearson.com.

Supplemental Privacy Statement for California Residents


California residents should read our Supplemental privacy statement for California residents in conjunction with this Privacy Notice. The Supplemental privacy statement for California residents explains Pearson's commitment to comply with California law and applies to personal information of California residents collected in connection with this site and the Services.

Sharing and Disclosure


Pearson may disclose personal information, as follows:

  • As required by law.
  • With the consent of the individual (or their parent, if the individual is a minor)
  • In response to a subpoena, court order or legal process, to the extent permitted or required by law
  • To protect the security and safety of individuals, data, assets and systems, consistent with applicable law
  • In connection the sale, joint venture or other transfer of some or all of its company or assets, subject to the provisions of this Privacy Notice
  • To investigate or address actual or suspected fraud or other illegal activities
  • To exercise its legal rights, including enforcement of the Terms of Use for this site or another contract
  • To affiliated Pearson companies and other companies and organizations who perform work for Pearson and are obligated to protect the privacy of personal information consistent with this Privacy Notice
  • To a school, organization, company or government agency, where Pearson collects or processes the personal information in a school setting or on behalf of such organization, company or government agency.

Links


This web site contains links to other sites. Please be aware that we are not responsible for the privacy practices of such other sites. We encourage our users to be aware when they leave our site and to read the privacy statements of each and every web site that collects Personal Information. This privacy statement applies solely to information collected by this web site.

Requests and Contact


Please contact us about this Privacy Notice or if you have any requests or questions relating to the privacy of your personal information.

Changes to this Privacy Notice


We may revise this Privacy Notice through an updated posting. We will identify the effective date of the revision in the posting. Often, updates are made to provide greater clarity or to comply with changes in regulatory requirements. If the updates involve material changes to the collection, protection, use or disclosure of Personal Information, Pearson will provide notice of the change through a conspicuous notice on this site or other appropriate way. Continued use of the site after the effective date of a posted revision evidences acceptance. Please contact us if you have questions or concerns about the Privacy Notice or any objection to any revisions.

Last Update: November 17, 2020