Enabling Operational Excellence
Enabling Operational Excellence
Enabling Operational Excellence
Enabling Operational Excellence

TURNING OPERATIONAL KNOWLEDGE & COMPLIANCE INTO A COMPETITIVE EDGE

We systemize tacit knowledge into explicit knowledge

Blog Enabling Operational Excellence

Requirements and Business Rules … All Just a Matter of Semantics (Really)

It almost goes without saying (but I’ll say it anyway) that you must know exactly what the words mean in all parts of your business requirements. In running a complex business (and what business isn’t complex these days?!), the meaning of the words can simply never be taken as a ‘given’. Some IT professionals believe that if they can model the behavior of a business capability (or more likely, some information system to support it), structural components of the know-how will somehow fall into place. That’s naïve and simply wrong. Business can no longer afford such thinking. A single, unified business vocabulary (fact model) is a prerequisite for creating a scalable, multi-use body of business rules – not to mention good business requirements. It’s what you need to express what you know precisely, consistently, and without ambiguity. Certainly no form of business rule expression or representation, including decision tables, is viable or complete if not based on one. And I pretty certain that’s true for most other forms of business communication about day-to-day business activity too. What am I missing something here?  ~~~~~~~~~~~~~~~~~~~~~~~~~~ This post excerpted from our new book (Oct, 2011) Building Business Solutions: Business Analysis with Business Rules. See:  http://www.brsolutions.com/b_building_business_solutions.php

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Bots “Communicating” (Funny!) … What about SBVR and RuleSpeak?

If you want to hear state-of-the-art machines (bots) talk to each other, see: http://goo.gl/LEIMI Funny! Rude and petty … just like humans sometimes. I don’t think we’re quite there on Star-Trek-style communication with machines(!). If you want to see a suitable set of guidelines for writing unambiguous business rules that machines should be able to understand, see www.RuleSpeak.com (free). RuleSpeak was one of the three reference notations used in creating SBVR, the OMG standard Semantics of Business Vocabularies and Business Rules. (SBVR doesn’t standardize notation.) Don’t try to read the SBVR standard – it’s for logicians, linguists and software engineers. For insight into what SBVR is about, see the SBVR Insider section on www.BRCommunity.com. SBVR itself is a structured vocabulary – essentially a concept system. Clause 11 provides a structured vocabulary for creating structured vocabularies. Clause 12 provides vocabulary for business rules. ‘Structured’ in this context means it includes both noun concepts (nothing unusual about that) and verb concepts (highly unusual). You need verbs to write sentences (propositions). Try writing a 100 business rules without standard verbs. Well, you can do it, but what you’ll get is spaghetti logic and hopeless, bot-like(?) communication.

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Something Important All Business Analysts Owe to Business People … Probably Not Something You’d Expect?

One of the first rules of business analysis should be never waste business people’s time. One of the fastest ways to waste their time is not knowing what they are talking about … literally … and do nothing about it. So you end up just wasting their time over and over again. Unacceptable. Is there a way to avoid it? Yes, by taking the time to understand exactly what concepts the business people mean when they use the words they use.  I believe business vocabulary should be job one for Business Analysts. If you don’t know (and can’t agree about) what the concepts mean, then (excuse me here for being blunt) you simply don’t know what you’re talking about. (And sometimes, unfortunately, neither do the business people … which is something important BAs should find out as early as possible.) So structured business vocabularies (fact models) are a critical business analysis tool. How else is there to analyze and communicate about complex know-how in a process-independent way?! Looking at the issue the other way around, you can make yourself look really smart about a complex area in a relatively short time by having and following a blueprint. We’ve had that experience many, many times in a wide variety of industries and problem areas. (Try jumping between insurance, pharmaceuticals, electricity markets, eCommerce, race care equipment, credit card fraud, trucking, taxation, healthcare, banking, mortgages, pension administration, ship inspections, and more! We do.) There’s no magic to it – like contractors for the construction of buildings, you must have or create structural blueprints. For operational business know-how, that means bringing an architect’s view to structure the concept system of the problem space …  just a fancy way of saying develop a well-structured business vocabulary. Then a whole lot of things will fall right into place for you. P.S. By the way, I’m not talking about any form of data modeling here. Also, there’s no real need to use the ‘S’ word (semantics) for it.  

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Just Organizational or Application Silos? … Worse, You Have Semantic Silos

Difficulties in communicating within organizations are by no means limited to communications among business workers, Business Analysts, and IT professionals. In many organizations, business workers from different areas or departments often have trouble communicating, even with each other. The business workers seem to live in what we might call semantic silos (reinforced by legacy systems).  A well-managed, well-structured business vocabulary (fact model) should be a central fixture of business operations. We believe it should be as accessible and as interactive as (say) spellcheck in Microsoft Word. Accessible business vocabulary should be a basic element in your plan for rulebook management, requirements development, and managing know-how.  ~~~~~~~~~~~~~~~~~~~~~~~~~~  This post excerpted from our new book (Oct, 2011) Building Business Solutions: Business Analysis with Business Rules. See:  http://www.brsolutions.com/b_building_business_solutions.php    

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Where are Your Business Rules … In a Big-P Process Dead Zone?

On an EA LinkedIn group last week, Nick Malik wrote the following about business rules in Zachman Framework 3.0: I’ll bite. If the ‘enterprise ontology’ is similar to the periodic table of elements, then business rules are molecules. They are compositions of elements with specific implications, embedded in event handling logic. Why would you expect to see them, or models of them, on the Zachman Framework? OK… that was my humble, and perhaps uninformed, opinion. You are the master of business rules. You tell me where you’d see them.” Nick, You know the definition of ‘master’, right? Same as ‘expert’ … someone who has made all the known mistakes. Zachman and I have had over-dinner conversations for many years about the question of where business rules fit (or don’t) in the Framework, even more so in the past couple of years. I won’t speak for John, but I think he agrees. Yes, business rules are ‘molecules’ and yes, they are ‘composites’. So you don’t see business rules anywhere in Framework 3.0. Instead, if you look at the new cross-column thin gray lines, at row 2 in particular, some or many of those could be business rules. Aside: For convenience, here’s a zipped pdf of the new 3.0 version (with permission): ZF3.0.zip [approx 1.5M]. Visit Zachman’s new website for all the latest. The thing about molecules or composites – unlike the primitives – is that they can be conceived in many different ways. Each conceptualization leads you to a different representation approach, and each representation approach leads you ultimately to a particular implementation strategy. Some implementation strategies, of course, are better than others (by a mile!). Moving Beyond the Big-P Approach At the risk of over-simplification, you have two basic choices for conceptualization, and ultimately implementation, of composites: procedural or declarative. Historically, we have embedded business rules in process models and in procedural code. We have taken the column 2 (how) primitive, process, and used it to create composites. At the scale of today’s business, this Big-P process paradigm simply doesn’t work. Why? The thin gray lines in Zachman 3.0 are really about how the business is configured for operation. (At row 6 the thin gray lines represent the current actual configuration of the operational business.) In the Big-P paradigm, all building-block ‘molecules’ become thoroughly entangled with flow (input-transform-output). The result is essentially a semantic dead zone. You’re never sure what things really mean, and you can’t easily disentangle them. There are no built-in impediments to replication … and no opportunity to use logic to automatically evaluate configurations (models/designs) for conflicts, anomalies and other logical defects. Aside: The Big-P approach also has implications for data models. In current practices, there is no way to automatically perform any meaningful verification of data models either. The future lies with granular, declarative, semantically-rich specification of building-block composites (‘molecules’) for configuration. I know I used the ‘S’ word there (‘semantics’) but I’m simply talking about structured business vocabularies (SBVR-style fact models). Fact models, by the way, must cover anything with a name, including instances from columns 2-6, so they too are composite rather than primitive. Aside: Was I happy to see John use the ‘O’ word (‘ontology’) in 3.0? I think I know why he did it – to emphasize the Framework is not a simple taxonomy, but rather something rigorous enough to potentially reason over. I’ll let others judge that choice. Re-factoring the Big-P Paradigm Clearly, business rules are one building-block composite for disentangled forms of enterprise configuration. Another thing not considered a primitive – Nick mentioned them – are events. They too possess the granular, configurable potential of business rules. And yes Nick is right – events and business rules have a very close relationship, one not widely appreciated. (If the industry did, it would already be taking a very different approach to process modeling.) Aside: But no, Nick, I would not ’embed’ business rules in ‘event handling logic’ … no more than I would embed ‘event handling’ in business rules. Unfortunately, expert systems do allow you to do that. What else do we need as building-block composites to configure an enterprise at a given point in time? Let me propose decisions – but with caution. ‘Decision” is the buzzword de jeure. No, decisions are not a cure-all, no they do not replace business rules or events, and no they do not solve all our problems. But in proper perspective, yes, they are most definitely a building-block composite. Smart Configuration Models Big-P configuration of the enterprise is like setting it in concrete. To replace that flagging paradigm we need smart configuration models. Such models will feature at least: (a) business rules, (b) business events, and (c) operational business decisions. And of course, structured business vocabularies (fact models). Smart configuration models should be the new mantra for enterprise architecture. In a world of constant and accelerating change, I see no alternative. By pinning down the primitives definitively in 3.0, Zachman has opened the door to a whole new realm of rich architectural potential. But there’s more. Smart configuration schemes must address additional challenges facing business today. These include business governance and compliance – essential in a world of constant change – and just-in-time (JIT) delivery of know-how for operational workers. In our new book coming out the end of September, we call systems built using smart configuration schemes business operation systems (BOS), as opposed to ‘information systems’. I think you’ll find these new ideas quite exciting. Watch for them!

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Confession Time … I Fell into the Same Vocabulary Trap I Warn Everyone Else About

I have been involved in a great on-going discussion on LinkedIn about data models. I posed the question: Is there any proven way to demonstrate data models are correct, complete, and stable with respect to the operational business and its needs? You might enjoy joining in: http://goo.gl/MsnXu It was literally 25 messages into the discussion that I realized “data model” was being used in two distinct ways in the discussion. And even then it had to be pointed out by a participant who seemed to know one of the other people.
  • I always mean “data model” in the ‘old’ way, in which the data model supports real-time business operations (or close thereto). In that world, you must design for integrity, which generally means ‘highly normalized’ in the relational sense.
  • In the old-but-not-nearly-as-old world of OLAP, real-time operations and updates are not a concern, so de-normalization (and redundancy) are presumably acceptable. (I’ll leave that question to the experts.)
That’s always the problem with vocabulary – deeply buried assumptions that prevent you from hearing what you need to hear. From experience, I know the trap oh-so-well, but here I fell right into it myself. What’s the answer to the question I posed for “data models” (of the kind I meant)? Focusing on the meaning and structure of business vocabulary, not data, as a core part of business analysis.  Note to self (a rule): When you enter any discussion, be clear what you mean by the terms you use – even (and maybe especially) the ‘obvious’ ones.

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Moving the Goalposts for Data Modeling … Deliberately. Hey Guys, We’re in a Knowledge Economy.

Is there any proven way to demonstrate data models are correct, complete, and stable with respect to the operational business and its needs? No. That’s distressing.  Is there an alternative that does? Yes, fact modeling, which is to say structured business vocabularies (concept systems). The core concepts (fact model) of an operational business area are very, very stable. I have outstanding proof (short case study).  See: http://www.brcommunity.com/b594.php. Definitely worth a quick read. I recently made these statements in a data modeling forum, and a practitioner came back with this: “Even if we assume that a technical methodology might exist to generate a complete and correct data model from a set of articulated business rules / facts, IMO this approach just moves the target from the data modeling area to the need to verify the articulation of business facts / rules for completeness and correctness.” Missed the point. Concept anaysis is brain work. You’ll never generate a ‘complete and correct data model’ … you must create it … ith business people and SMEs. The problem with data modeling as practiced today is that there is a large gap between the business view of things and the data model. It gives business-side people a ready excuse to drop out. And its an art rather than a science. You really have no justification building a system until you have a concept blueprint. Currrent data models evolved bottom up, from database design. (I know, I watched it happen. I was editor of the Data Base Newsletter, 1977-1999.) It’s time to approach the problem top-down. There are natural ways to build concept systems. The standard for the new approach is SBVR. (For more, see BRCommunity’s “SBVR Insider”), which in turn is based on ISO 1087 and 704.  We (all of us) need to start practicing like we’re living in a knowledge economy … which in fact we actually already are.

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