Thursday, September 22, 2011

BI Vendors use Communities to Serve Customers

BI vendors tend to primarily follow a software production business model and shy away from too much services. One reason is financial as they are often evaluated by a metric calculated using dollars divided by the number of employees. Because of high margins for software, this "revenue per employee" or "profit per employee" metric is much higher when a vendor focuses on selling software and not services.

For a nice visualization of this, see Pingdom blog from earlier in 2011 showing Apple with profits of about $420K per employee (almost tripled since 2008 when it was just $151K). Google ranked next with $336K in profits for each headcount; Microsoft followed with a measly $245K.

With that said, software customers still need help. At a minimum, software vendors must provide documentation and training services. They also need to offer a customer service desk to call when clients are in a pinch. Sometimes, customers do need onsite consulting services.

Some BI vendors have found a way to provide services without having lots of people on staff: they enable their customers to help themselves.

Qlik Technologies has a "QlikCommunity" of more than 62,000 QlikView BI users from around the globe. They report having one hundred new users sign up each business day.

Doug Laird, the VP of Global Marketing at Qlik Technologies, says:
“Today’s business users need to make quicker decisions backed by clean, relevant information. This means that queuing up and waiting for IT to generate a report just doesn’t cut it anymore. This is why QlikView’s self-service Business Discovery solution – backed by QlikCommunity – is providing a boost to these users by enabling them to quickly react to changing market conditions. This combination has taken our support to the next level, and is a true testament to the compelling content and engaging experiences enabled through QlikCommunity today.”

Information Builders, the vendor of WebFOCUS, has a similar service called "Focal Point." Their community web page states there are 5000 developers posting 88,000 messages on 13,000 different topics. Information Builders employs some individuals who watch over the postings, engage when necessary, but ensure that solutions are clearly documented for future searchers.

With this type of self-service question and answer forum, BI software customers can search for existing answers to their questions and interact with peers instead of opening a ticket with a support representative. This frees the software vendor to focus on what it does best--building software--and to be more profitable in the process. 

Wednesday, September 21, 2011

Text Analytics for Legacy BI Analysis

A stumbling block for businesses trying to modernize legacy computer applications is the sheer volume of program files. An IT organization may own thousands of code libraries, each with thousands of programs. Often, the whereabouts of the original developers of old applications are unknown. 

I have found this to be especially true for legacy end-user 4GL reporting tools such as FOCUS. 

A computer language developed by Information Builders in the mid-1970s, FOCUS became the industry standard as a multi-platform report writer for business end-user communities. With FOCUS, rather than ask the busy IT organization to develop reports, users could build their own.

But instead of being just a report writer, FOCUS was in reality a full application development environment originally designed to replace COBOL. Many enterprising users took advantage of robust features such as online screens, database maintenance, and batch processing  to build very sophisticated systems.

Two or three decades later, some IT shops now struggle to grasp what their FOCUS users developed. Trying to assess the purpose, functionality, usage, and complexity of these legacy applications by manually looking at each program is nearly impossible.

To assist with this type of time-consuming detective work, I developed text analytics software called the "BI Modernization Workbench." Written in C/C++ with a web browser graphical user interface as well as a command-line batch processor, the application has two main features: 1) automated textual discovery; and 2) automated translation into a new BI product.

For now let us consider only the automated textual discovery feature called the "BI Analyzer."  

Text Scanning
Computer programs are not completely unstructured like an e-mail message or the prose found inside a Word document. Instead, almost all computer programs follow a particular formal syntax which forces them to be at least semi-structured text. This simplifies textual analytics since we know what to expect (for the most part, anyway, since there can still be user syntax errors and a fair amount of junk). 

Our textual analytic scanner is smart enough to figure out the code dialect, but we provide it with some starting instructions. For example, we can tell the application to perform a very specific scan such as looking for FOCUS-to-WebFOCUS conversion issues, FOCUS metadata to find data formats, SAS statistical features, JCL batch job features, HTML legacy CGI calls, Crystal Reports features, or to parse SQL commands. 

When in a curious mood, we can perform custom ad-hoc textual searches.

While the results pulled from the text can be just displayed on a screen, it is more useful to save these to a database and later analyze the answer set.

Online GUI and Batch Text Scanning
We started with a GUI front-end, but when working with a large number of libraries it quickly becomes tedious to repeatedly point, click, and run. As a result, we modified the Scan program to be alternatively run using a batch script from the command line.

Not only is it easier to use, the scanner runs much faster since we eliminate generating HTML for displaying results within the browser. On our current engagement, we scan close over 200 mainframe libraries containing over 80,000 programs within 15 minutes.

Keyword Frequencies
For many of the scans, the software performs keyword frequency counts. For example, to evaluate conversion issues related to green-screen application development, the scanner searches the text for a variety of FOCUS keywords whose either presence or absence would be significant: 
  • MAINTAIN
  • -WINDOW, -CRTFORM, -PROMPT, -FULLSCR
  • CRTFORM, FIDEL, FI3270 (used within MODIFY)
  • PFKEY, SET PF

To help with the accuracy of the scanning, we can apply a variety of criteria on searches such as: 
  • Perform case-sensitive search (or uppercase all text first)
  • Perform stand-alone search (or allow the token to be embedded within a string)
  • Ignore blanks between search tokens (since developers often format code using spaces between words)

Pattern Recognition
Using the results of the keyword searches, we can group specific ones together help identify a pattern of usage within the application. For example, if we group keywords found during a legacy FOCUS 4GL scan, we should recognize one or more of the following archetypes: 
  • Reporting App = high number of TABLE (report) requests but few MODIFYs (database updates)
  • Online Reporting App = Reporting App with high number of -CRTFORMs (menu screens) or -PROMPTs
  • Online Maintenance App = MODIFYs, CRTFORMs (transactional screens), and PFKEY usage
  • Batch Maintenance App = MODIFYs with FIXFORM/FREEFORM (transactions) instead of screens
  • Multi-Step Batch Job = JCL with various FOCUS and non-FOCUS steps (which implies this application may be difficult to port to a new platform)

Textual Parsing
For some textual analytics, we actually need to parse the semi-structured code and pull out more than just keywords. For example, we often find SQL (structured query language) embedded within reporting applications. Being structured, SQL follows a strict syntax of blocks of code in a specific order of: SELECT; FROM; WHERE; GROUP BY; HAVING; ORDER BY.

This makes it possible to parse the syntax and extract the names of databases, tables, and columns being used in the application. We can also distinguish between the columns showed on the report versus those being used in the selection criteria or for sorting and aggregation.

Standard Content Analysis
With these textual contents extracted and stored inside a database, we can then perform standard reporting as well as custom queries. For example, one well-known client used the scan results to perform a redundancy of their Business Objects environment to evaluate it being replaced with a new web-based solution.

The business sponsor was completely against a one-to-one conversion of these legacy reports. Instead, from the scanned contents of thousands of reports and SQL files, the client was able to identify commonalities and reporting redundancies which enabled them to categorize their BI needs into a dozen buckets. From there, they built a roadmap for replacing their legacy reporting environment with a collection of highly dynamic reporting solutions.

In addition to analytics, we have standard reports that help with the operational aspect of a modernization initiative such as parallel test plans. 

Building a Textual Analytics Engine
When companies need to modernize an application, they often view it as a one-time activity. With this mindset, they might not invest the time and money to build this type of textual analytics scanner and translator. Because we work with a variety of clients with this common need, it made sense for to create a reusable tool such as the BI Modernization Workbench.

This application has evolved over time. When we first developed it, it handled SQL-based legacy tools. After that, we enhanced it for the NOMAD and FOCUS 4GL. Since then, we have added features for a variety of products such as SAS, QMF/SQL, Oracle Portal, and SAP Business Objects (Crystal Reports, Deski, and Webi).

In addition to the reporting tools, we have added features for handling complementary technologies such as metadata schemas, HTML web pages, and mainframe job control language (JCL). 

Tuesday, September 20, 2011

Survey shows European Decision Makers in Need of Better BI

Information Builders, the software vendor of the enterprise Business Intelligence product WebFOCUS, partnered with market research company Vanson Bourne for insight into how European companies make decisions and to evaluate the impact of those decisions upon business.

In this "No Barrier to Good Decisions" study, Vanson Bourne surveyed over 600 professionals in eight different countries across Europe. Almost all of the respondents (86%) felt that their companies could be making better decisions; 72% felt that a key to achieving faster decisions would be to have better access to information.

However, over half said it was not about more data, but rather easier access to the information already in the enterprise. Forty percent of the respondents wanted simpler BI tools and applications.

The study found that European managers spend over one hour each day looking for information. When viewed financially, this unproductive time costs European organizations with over 1000 employees about 8 million euros annually. The study found that marketing professionals spend even more time than managers looking for data--83 minutes per day (versus 67 for the managers).

Almost all of the people surveyed (88%) feel their organization does not give them the proper tools to do their jobs. 68% believe their company does not provide them with properly formatted information suitable for easy use.

The bottom line? Almost nobody in the survey felt they were capable of making good decisions based on the tools and data provided by their organizations.

Information Builders' Chief Marketing Office Michael Corcoran commented:

"If companies want to increase their competitiveness, they need to improve access to data across all levels of the company. They risk hampering any competitive advantage if they limit the availability of data for business decisions to desktop or laptop users and overlook other mobile devices. In addition, they have to be realistic about the level of control they will have over the devices the data is being accessed on.
At the heart of supporting this goal is the need to create the right infrastructure and support to enable broader access to data over an ever-increasing number of devices, either in real time or using a local device cache." 

Good Business Intelligence goes back to the simple formula of providing the right information at the right time to the right person so he or she can make the right decision and take the right action. Of course, this survey shows that executing a BI initiative effectively is the difficult part. 


For more information, see the press release

Friday, September 2, 2011

Starbucks Urges Fragile America to Drop Partisan Government Ways

Howard Schultz, the CEO of Starbucks, urges Americans to speak out against the partisanship in our government.

See his letter.

About Me

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Summary:

With over 20 years of industry experience, Doug Lautzenheiser has provided business intelligence services for well-known organizations such as Procter & Gamble, JPMorgan Chase, Omnicare, Wendy’s International, the State of Indiana, and the State of Oklahoma. ComputerWorld recognized one of Doug's projects with honors for innovative use of technology.  Doug is a featured blogger on BI software at Smart Data Collective.

With his broad knowledge of technologies, business processes, and industry best practices, Doug provides client value by performing strategic advisory services; leading tactical BI application development projects; and enabling dramatic reductions in time, cost, and risks through his unique automated BI consolidation application.

Doug has hands-on experience with a variety of enterprise applications. He is degreed summa cum laude in Information Systems from the University of Cincinnati. An experienced trainer and mentor, Doug has provided educational services to organizations such as National Semiconductor, Ford Motor Company, Northwest Airlines, Principal Financial Group, and Target Stores. Doug is the General Manager of Partner Intelligence.

Talk to Doug before manually performing a large BI initiative. Doug will show you how other smart companies saved time and money by following proven methodologies and automating BI processes instead of letting somebody "wing it" with a manual approach.

Specialties:

B2B software vendor leadership. BI implementations, standardization, and consolidation; data warehousing; WebFOCUS; iWay; BI vendors (Cognos, Business Objects/Crystal Reports, Microstrategy, Actuate, Hyperion/Brio, SAS); ERP; and full SDLC.