Collaborative Consulting Blog 2009-08-06T06:44:02-05:00 http://www.collaborative.comhttp://collaborative.com/includes/css/collab/images/logo.gifCollaborative Consulting Collaborative Consulting marketing@collaborative.com urn:uuid:228bcb10-0f0a-11de-8c30-0800200c9a66 Do you see that road over there? Well, don’t take that … it’ll do you no good. 107 2009-07-01T00:00:00-05:00 With that quotable movie line (try it with an Irish brogue!), Molouney, the train guard, gives Sean Thornton (John Wayne) a taste of what awaits him in Innisfree, Ireland. The Quiet Man (1952) is arguably director John Ford’s greatest movie triumph, al

With that quotable movie line (try it with an Irish brogue!), Molouney, the train guard, gives Sean Thornton (John Wayne) a taste of what awaits him in Innisfree, Ireland. The Quiet Man (1952) is arguably director John Ford’s greatest movie triumph, although this is decidedly a US-centric point of view as the film is marred by a patronizing view of a “nostalgic” Ireland while unfairly depicting some unflattering Irish stereotypes. The movie unfolds with Sean (Wayne) trying to reclaim his ancestral home, escape his past and ultimately settle down, get married, and make the rolling hills of Innisfree his home. This blog entry isn't about the movie; rather it's about the signals (spoken and unspoken)  that Sean (Wayne) must decipher.

Signals. Dictionary.com defines “signal (n.)” as anything that serves to indicate, warn, direct or command". Sean’s first step in Innisfree is met with a curious signal that possibly means: you’re not welcomed there, that road is a dead-end, welcome to Innisfree (viz. unlikely!), or something else open to interpretation. Lately, it seems, the ‘net is a-buzz with a singular application: Twitter—well, “lately” is what it seems; it’s been around since 2006. Twitter’s aim is simple, answer the question: “What are you doing?” How you answer (tweet) depends on time, location, situation, mood, or any particular bias (personal, athletic, regional, organizational, etc.) that you wish to inject into the response. The response is a signal. It indicates to your followers (folks listening to your signals) that you are communicating something; what that “something” is, and if it’s of interest, is relevant only to those who follow you, right? Yes and no.
 
Hmm, what? Twitter is the latest in a line of online collaboration and communication tools whose aim is to keep contacts informed. On a personal level, it can help organize your day and inform those around you what is going on with you. On an organizational level Twitter can be used in various powerful and creative ways, such as: a “real-time” pulse used to manage a customer base, keeping track of service activity, managing a project, marketing a product, or anything else that allows an organization to stay in touch with its constituents throughout the day. At first Twitter does look like other web applications used to socialize and fraternize with friends, certainly not a tool for work or client engagement. Yes, Twitter allows you to do that.
 
Fundamentally, however, Twitter is a communication platform that facilitates collaboration based on relationships. The velocity of today’s business environment makes collaboration an imperative and a top strategic objective for all enterprises. Each business function in an enterprise must have access to the information needed to enhance customer service, speed problem resolution time, engage clients in an open fashion and generally communicate in the most expedient fashion possible. Twitter allows you to do this.  Quickly. Openly. Succinctly—Twitter only allows 140-character messages.
 
I recently attended the Enterprise 2.0 conference in Boston (http://www.e2conf.com); I came away with a renewed sense that forward-thinking enterprises wishing to accelerate their responsiveness should be paying attention to what is taking place with social networking (SN) and interaction tools (e.g., Facebook, Twitter.) To change direction rapidly and respond to shifting business opportunities (signals), enterprises will require new levels of business interaction and technical agility.
 
As enterprise architects, we are always on the lookout for emerging patterns and trends that can help accelerate enterprise responsiveness. Today, the most common form of interaction is through a combination of customer support centers and software built along the lines of consumer/provider patterns. These have provided the foundation for all modern enterprises; however, there are new patterns emerging – how can enterprises use social interaction architectures and harness the necessary contextual usage patterns critical in getting closer to the customer and protecting the brand (listening to the signals)?
 
Enterprise 2.0 is all about facilitating communication. The enterprise that can make the switch from communicating in a hierarchical fashion (IT-driven, no user control) into managing their communications in a collaborative, distributed, transparent, and socially driven (people-driven and controlled) fashion will reap the benefits of Enterprise 2.0—namely, getting the right user/customer feedback to the appropriate enterprise owner, react to user/customer demands quickly, and create efficiencies in information management that lead to better decisions.
 
So? Do you see that road over there? Well, it’ll do you no good if you don’t take it…
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Resource Calendars – A simple tool to aid in realistic project schedules and timeline 106 2009-06-22T00:00:00-05:00 Since I am a handy man and I enjoy fixing things around the house, I am all about adding tools to my toolbox. The same holds true when it comes to managing projects. I am constantly adding or renewing my PM tools.

Since I am a handy man and I enjoy fixing things around the house, I am all about adding tools to my toolbox. The same holds true when it comes to managing projects. I am constantly adding or renewing my PM tools.

I find that one of the easiest and most effective tools in my Project Management toolbox is the Resource calendar. All too often, we PMs find ourselves in the midst of a project when team members are not available due to out of office events, vacation and holidays which could impact a project schedule. One way to reduce surprises is to create a resource calendar. While there are many manual and automated tools in the market, the simplest way to do this is to create a calendar template (read-only), typically three months out, at a minimum, using an MS word document. Included in the template should be a legend denoting planned time off such as V=vacation, O=out of office etc. Once created, request the team members to submit their planned time out and list each individual by name in the appropriate day with the legend value. This can then be distributed to the group giving everyone a view of when and who is available. The PM can then incorporate this information into the different Project Management tools reflecting a more realistic schedule and timeline.   

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How many toolboxes do you carry? 104 2009-06-15T00:00:00-05:00 One could argue that project management is a bizarre way to make a living. Where else does someone have the ultimate responsibility of delivering a product, yet their true power so limited and their success or failure is so dependent upon the performance One could argue that project management is a bizarre way to make a living. Where else does someone have the ultimate responsibility of delivering a product, yet their true power so limited and their success or failure is so dependent upon the performance of others. Most companies have Project Management Offices (PMOs) whose dictates and procedures must be adhered to across the enterprise and Project Managers (PMs) must work within the confines of its directives. The manner in which projects are staffed differs from company to company and the ability of PMs to ‘pencil in their starting lineups’ varies greatly from company to company. If lucky, a PM can request that certain individuals be assigned to their team, but in many companies teams are assigned with little or no input from the project manager.

I find that successful project managers understand that their success is truly dependent on the success of those assigned to their team. Their goal is to have everyone on their team perform to the best of their capabilities. While most professionals are self-motivated, there are those whose performance is impacted by the manner in which they are managed. Some resources need a more hands-on approach while others are more self-sufficient and independent. A management style that maximizes the performance of one individual will, in all likelihood, not have the same effect on another. Maximizing the performance of these resources can mean the difference between a triumphant endeavor and one that is not.

I believe that while most project managers bring a toolbox of assorted “hard” project management tools to the job - such as work breakdown structures, project planning and scheduling software packages, and risk assessment procedures, just to name a few; only the really successful PMs have a second toolbox. This second toolbox which is packed with different “soft” personal management styles, tools and techniques that help them navigate through “the people” dimension.

These successful managers are adept at using this second “soft” toolbox. They can quickly assess the needs of each team member and when necessary, implement a style that motivates an individual to perform at their peak. The focus is as much on the team as it is on the individual team member, and adapting their management style to achieve hard results.

Given the benefits associated with applying different styles of management to different people, it is time for all of us PMs to care for and build up toolboxes especially our “soft toolbox”.

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How integrated is BI with Excel and could the Kilimanjaro release of SQL Server fill a gap in the marketplace? 105 2009-06-15T00:00:00-05:00 Recently I was at a client, who was very decentralized from a report creation perspective - a series of power users resided in all functions, creating content and distributing it out across the organization. This client had an existing BI tool - SPSS Sho Recently I was at a client, who was very decentralized from a report creation perspective - a series of power users resided in all functions, creating content and distributing it out across the organization.  This client had an existing BI tool - SPSS Showcase, running on an I-Series IBM environment, which the power users liked. Based on cost, the client had already made a decision to go with the complete Microsoft 2008 solution, including its BI toolset.
 
The existing Showcase Query tool allowed these power users to query the existing data warehouse via a wizard. Key features that the Showcase Query tool had were:
 
  • The ability to add tables - with the joins being detected automatically. These default joins could be changed so that outer joins could also be made.
  • The ability to create derived fields using case logic through an expression builder. A key feature of this expression builder is that it allowed users the ability to 'see' a list of existing values that could be selected for any given field - especially useful if the values in the data warehouse were not cleansed (as was the case) and had leading or trailing spaces in them.
  • The ability to create prompts.
  • The ability to embed these queries within existing Excel spreadsheets. Excel was the primary method of reporting
 
The client knew that there was a gap in the MS BI tool stack to offer these capabilities and needed some help. Apart from budget, which was a big constraint, and the fact that they needed a desktop tool (they were thin on the ground as far as IT resources go), when I started to look out in the marketplace at potential vendors to fit the bill, I was surprised by what I found.
 
  • Most vendors (regardless of budget), either did not allow a complex derived field to be created (that used case logic) during query creation, or did not have an ability for users to select from a list of existing values.
  • Most of the vendors had the ability to create Excel as an output format from the reporting tool, but not to be embedded within an existing Excel Spreadsheet - a feature that was very important to this client as several power users had created 'applications'  using VBA.

 

 Microsoft offered the following capabilities:

  • Power users could query the data warehouse via SQL Management studio. The Query Editor gave them a GUI capability that allowed them to add tables, detect and change joins and create 'group by' queries, but it lacked any assistance in creating expressions of showing lists of values.
  • As far as Excel integration capabilities were concerned, these power users could copy and paste query results from SQL Management studio or could use Excel's ability to connect to a data source. This latter method would only work against a star schema if either MS Query was used (very unfriendly) or a 'view' was created which did all the logic and joins for them.

 

 Seeing this dilemma made me realize that a big gap exists out there in the BI space. For most BI tools, reports have to be created in another tool first, and then either embedded into Excel or saved in Excel format. No tool really offers the capability from within Excel to create a query. The nearest out-of-box tool I came across was free Excel add-in tool from www.sqldrill.com. This gave the ability from within excel to access a user interface (that was like the query editor in SQL Managment Studio), create a query and have the results delivered into Excel.  Of course you can use code something yourself and use Microsoft ADO through VBA.

 
In my research, I came across the Microsoft webcast that gave a peak into some of the potential functionality that the new Kilimanjaro release of SQL Server would deliver around the Q2 timeframe in 2010. This webcast talked about having the potential ability to query a data warehouse directly from within Excel and deliver back up to 100 million rows!   I think that if Microsoft gets this capability right, they could have a tool that would be way ahead of the competition. Like it or not, Excel is one of the most widely used reporting tools in all organizations. Having a capability to create relational queries from within Excel itself, and thus not having to use or be trained on another tool would be nirvana to many users.
 
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When to and when not to use Web Click and Script 103 2009-06-12T00:00:00-05:00 In this blog, I will walk you through LoadRunner Web Click and Script protocol. I will also answer some of the questions that are always left open.  In this blog I will walk you through LoadRunner Web Click and Script protocol and answer some of the questions that are always left open.
 
I have seen situations where a tester is very reluctant to try this protocol. He/She does not have an exact answer for why they don’t want to use this.
 
Well there are always pros and cons to anything in this world as I mentioned before in my previous blog. But unless you explore you don’t see the bright side of it.
 
Let’s get started:
 
What is Web Click and Script Protocol?
  • It is sequel to “Web HTTP/HTML protocol
  • It is a GUI based scripting similar to a Quick Test Professional
  • It records both application level and network level user activity
  • Uses QTP engine with LoadRunner engine
 
When not to use Web Click and Script protocol
  • When using huge load with weaker load Generators (this protocol consumes lots of system resources as it is using QTP engine)
  • If your application is using ActiveX UI or Applets
 
What are the BENEFITS?
  • Easy to use
  • Easy to maintain
  • Easy to learn
  • Lower technical skills needed to script
  • Goodbye to Correlation
  • Saves 80% of scripting time
  • Less time less money spent
  • Scripts are self-explanatory
 
 
Here is the script generated with Web HTTP/HTML protocol.

This script was generated with Web Click and Script protocol. As you can see web click and script records every user action on application and network level.

 

 
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Prototyping…. the technique that keeps on giving 102 2009-06-08T00:00:00-05:00 As a frequent manager of software development projects, one of my favorite techniques to gather requirements or vet designs early with the system users is “Prototyping,” where prototyping is defined as the simulation of some or most of the system feat As a frequent manager of software development projects, one of my favorite techniques to gather requirements or vet designs early with the system users is “Prototyping,” where prototyping is defined as the simulation of some or most of the system features to provide stakeholders early on with a tangible “look and feel”.

One prototype example I have used in the past was an interactive power point presentation which defined the functional flow of an electronic payment device. This prototype was used to define the navigation of using a debt/credit card on a device with cash back features to be used at Point of Sale. The interactive prototype was distributed to project stakeholders, evaluated and after multiple assessments, used to define and approve the functional flow before any code was developed for the payment device.

The prototyping had several benefits: the software designer and implementer were able to obtain feedback from the users early in the project, and the client and the contractor were able to compare if the software made matched the software specification, according to which the software program was built. Additionally, the project team got some insight into the accuracy of initial project estimates and whether the deadlines and milestones proposed could be successfully met.
In general, I find that prototyping helps prevent requirements misunderstandings and miscommunications among developers and users; it also reduces the number of changes that need to be implemented beyond the design phase which saves time and money.

So….. Have you tried Prototyping lately?!!!

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A Bridge to Nowhere 100 2009-06-01T00:00:00-05:00 A few weekends ago, I took the train to New York to visit my brother. As I was standing in the café car, I overheard this interesting conversation about the gaps between Business and IT and whether the gaps are being closed or not. A few weekends ago, I took the train to New York to visit my brother. As I was standing in the café car, I overheard this interesting conversation about the gaps between Business and IT and whether the gaps are being closed or not.

Person A believed that gaps are indeed closing as the industry has established not only methodologies, sophisticated business processes and supporting tools, but a common modeling language that Business and IT can rally around to communicate, define requirements, and bound scope, etc. This structured modeling language is Business Process Modeling Notation (BPMN).

Person B thought that while progress had been made, the ball will not move much further until both Business and IT “truly adopt” BPMN, IT is able to build flexible applications and think more like business people; and the Business is able to consume structured change.
Person B explained that Business is used to constant change and improvement but for the most part, it is all ad-hoc. There is no real structure.

On my way to my seat, I thought… “I agree with both. We have made great strides in our efforts to bridge the gaps between business and technology but there is still a long way to go. Of the three dimensions in any change, People, Process & Technology, we’ve paid little attention to the People dimension, in terms of communications, competencies and cultural barriers associated with building better solutions. Until we fully address the “People dimension,” we may have built a bridge that few will walk or worse yet, “A bridge to nowhere”.

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MDmM - Master Data micro-Management (Part 2 of 2) 99 2009-05-27T00:00:00-05:00 Now that I have characterized Master Data Management on a small scale as Master Data micro-Management, and having placed some guidelines for attributes that are candidates for MDmM, let’s explore some real-world examples that should bring the discussion Now that I have characterized Master Data Management on a small scale as Master Data micro-Management, and having placed some guidelines for attributes that are candidates for MDmM, let’s explore some real-world examples that should bring the discussion down to earth:
Example 1 – Account-holder Status
I was involved with a large MDM initiative, motivated by SOX-compliance, which was focused on account-holder information. The overall project was scoped to support <20 attributes across 6 systems, but one attribute was so significant that we had to define a mini-release to deliver a consistent view of the attribute across all systems to support new functionality for the web. This attribute, the account holder’s status, fits the criteria above. It is tightly-bound in that each system had 2-5 values when defining the status. These values could easily be derived from the domain values into the enterprise standard. The definition of each attribute was clear and unambiguous. Finally, the account holder status was crucial to each operational status – from card-generation, to benefits management – every business process must be status-aware to function properly.
Example 2 – Product Description
I deliberately choose this attribute to generate discussion and debate – it also crosses into a different subject area (product). Product description is not as clear-cut as account-holder status. It is not tightly-bound (it’s free-form), which is actually part of the issue. Thus, finding a consistent product description across systems is a challenge. A product description may not always be well-defined. Is the description used for labeling, if so on a package or a shelf? However, the product description is a business-essential attribute – it is used in searches, sorting, user and customer display (in-store, web), which makes me ask the question could it be easily derived (i.e. having a “description-builder” that concatenates the product name, manufacturer, and product dimensions?) This is when the debate escalates – how can you have a derived description without standardizing the product names or manufacturer? Can you rely on product dimensions – are these the dimensions from the manufacturer or from the system? Those who have implemented a PIM recognize these complexities. I believe that this derived product description could hold value to the business and could be easily derived and therefore is a candidate for MDmM. However, my confidence level is higher when it comes to account-holder status based on theory (since it meets all of the MDmM guidelines), and I have seen this in practice on a project. Alas, I never saw the product description work in practice.

The concept of MDmM is deliberately limited to attributes that meet the criteria and would not be suited for more complex MDM domains, such as hierarchies. It also requires a pragmatic approach for choosing the enabling technologies during implementation. However, MDmM can deliver value to the business in less time then it takes to launch a full-blown MDM effort, and therefore help build a strong case for the investment required of larger-scale MDM initiatives.

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MDmM - Master Data micro-Management (Part 1 of 2) 97 2009-05-20T00:00:00-05:00 The tip of the MDM iceberg can intimidate the most experienced captain. One way to break the proverbial MDM ice is to start with a single attribute so that the business problem can be solved incrementally. Addressing a single attribute (or attribute gro The tip of the MDM iceberg can intimidate the most experienced captain. One way to break the proverbial MDM ice is to start with a single attribute so that the business problem can be solved incrementally. Addressing a single attribute (or attribute group) through MDM principles and best practices can be thought of as Master Data micro-Management (MDmM).

A typical master data management initiative requires significant investment before an implementation that delivers business value is realized. A MDM initiative requires a serious commitment so that data standards can be defined and systematically enforced at an enterprise level for an entire subject area, such as customer or product. Although the scope of MDM is constrained by information shared by systems across the enterprise and therefore is a subset of the complete universe of attributes for customer, product, et al., the overall effort is increased by the number of participating systems and the complexity of the integration.

Facing the daunting aspects of full-scale MDM, you probably have implemented a MDmM solution and you know that a critical success factor to MDmM is determining what attribute is suited for a small-scale MDM implementation. To help guide the discussion, let’s start with establishing criteria for identifying MDmM attributes:

• The attribute must be tightly-bound. An attribute is tightly-bound when its domain values are limited (ideally <=5).
• The attribute must be easily-derived. An attribute is easily derived if it can be transformed with minimal complexity into a defined standard.
• The attribute must be well-defined. An attribute is well-defined when you can look at the column name and immediately recognize what the information represents. This is an exaggeration of course, but you shouldn’t have to dig for the dead-sea scrolls to determine the true meaning of the attribute.
• The attribute must be business-essential. Saving the best for last, an attribute is business-essential when the absence of the attribute within the scope of a process causes failures, unhandled events, or non-compliance.

Like all MDM standards, MDmM guidelines are open to amendment and interpretation, but in the next installation of this topic, we will explore two attributes (account-holder status and product description) that should illustrate the concept.

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CDI – what’s the point? 98 2009-05-20T00:00:00-05:00 We all know that customer data integration (CDI) theoretically provides better insight into customer demographics, activity and behavior which can lead to more profitable customers, but how and at what cost? What is the direct tie between better understan We all know that customer data integration (CDI) theoretically provides better insight into customer demographics, activity and behavior which can lead to more profitable customers, but how and at what cost? What is the direct tie between better understanding of customer fundamentals and ultimately more profitable customers? This is a more elusive question to answer that it appears on the surface. The answer is almost too obvious, if I know my customer better I can better interact with them, better determine how to market new products and services to them, and better determine their profitability, or lack thereof. All of these are potentially true, but in order to understand everything you need to about a customer, you first need to determine what you want to do with the information, how it will be used, and how the organization will benefit from this understanding.
Too often companies start with the mythical “360 degree view of customer” as the goal and the loosely defined cross-sell, up-sell, and share-of-wallet measurement as the business purpose. While ultimately, there may be some potential value in understanding everything about a customer, collecting all of the data to create this complete understanding is often daunting. Consider a financial services company with banking, brokerage, 401k management and trust services. In order to create a complete view of an individual customer, they will not only need to collect data from across their business lines, where accounts have likely been established individually, collected through separate channels, and established with separate identifiers and indicative data, but also leap over multiple regulatory hurdles related. In the case of 401k, they will also need to deal with concerns from both the participant and client company. Too often CDI initiatives are undertaken with only a cursory understanding of difficulty, cost, and benefit.
In a recent instance I worked with a customer that was trying to create a complete view of their customer across business lines. The original vision was to collect some 150 attributes and normalize them across the organization. The theoretical value was to better understand the customer and be able to sell them more services based upon their buying segment and current service profile. Great idea, however the barriers to success became quickly obvious; data collection issues, data synchronization issues, data ownership issues, business process alignment issues, and cost all became substantial hurdles. Eventually the list of 150 attributes was whittled down to 7 that were achievable at which point the initiative was halted, but not before spending several million dollars on the effort.
CDI should start small for most companies; focus on achieving one business goal with one or two clear value propositions, for example, creating a better understanding of traditional banking customer’s activity with the objective of coercing them into establishing a brokerage relationship as well, or vice-versa. The value then needs to be quantified; if we can convert 8% of the appropriate demographic banking customers who do not have a current brokerage relationship to brokerage customers we can achieve an additional $20 million/year in revenue and $2 million in profit. You now have the appropriate justification and quantification for the CDI initiative. By focusing on a limited set of business objectives you can also focus the initiative on just the necessary data to support the business case, instead of heading down the path of “complete view of customer,” which often leads to CDI failure and leaving the business asking themselves “What’s the point?.”

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