Home > Data management / BI News > School district overcomes 'catastrophic' business intelligence deployment failure
Data management / BI News:
EMAIL THIS

School district overcomes 'catastrophic' business intelligence deployment failure

By Jeff Kelly, News Editor
08 Apr 2009 | SearchDataManagement.com

News on data management trends and technology
Digg This!    StumbleUpon Toolbar StumbleUpon    Bookmark with Delicious Del.icio.us    Add to Google

School officials at the Plano Independent School District hoped to eventually roll out access to its new SAS-based business intelligence (BI) suite to more than 4,000 teachers and administrators.

So when just 90 principals brought the whole system crashing down within 15 seconds during a test deployment in the fall of 2005, Jim Hirsch, an associate superintendent who oversees the school district's IT operations, knew he had a problem.

"We found out very quickly working with our SAS team that we had underestimated what it means to have 4,000 users, even beginning with a handful of just 90 users," Hirsch said. "This did not come off without a hitch. This came out with a fantastic, catastrophic failure backing us up by six months."

The problem, Hirsch said, was that though typical corporate BI deployments often deliver reports to hundreds or even thousands of workers, they actually support significantly fewer users who directly access and manipulate the data and data models themselves, as would be the case in Plano.

"Companies themselves have thousands and thousands of users, but what everybody neglected to think about early on was that what was being delivered to those end users wasn't direct access to the enterprise intelligence suite," Hirsch said. "It was reports out of HTML pages or even just static reports. In our case, this was live data, and we were having the individual teachers in their classrooms accessing that live data as it ran through the model."

Hirsh's staff, which had experience building other applications and services for such a large user base, worked with SAS to reengineer the infrastructure to handle that type of concurrent use, including moving from a single-tier to a three-tier architecture to spread Web, stored procedures and database interactions over more processing, Hirsch said. The work took around six months, during which time "we limped along providing very basic reports to principals and asking teachers to limit their use," Hirsh said.

With the infrastructure enhanced, the SAS system finally went live in the April 2006, with the 2006-2007 school year being the first full year it was operational. The school district essentially lost a half to a full year's worth of use thanks to the initial "fantastic, catastrophic failure," as Hirsch described it.

Since then, however, the system has worked as expected, and the school district has steadily added more models, analytics and users without a hitch. Now, Hirsch said, even students and parents can access the system to track grades and test results.

"The good news was [the deployment failure] allowed us to do some additional fine-tuning, and the system no longer fell to its knees," he said. "We actually had done enough reengineering homework to realize what it took from an infrastructure standpoint, and SAS realized what it took from our environment standpoint, for this thing to be ramped up and ready to go."

As for the system itself, integration software collects student-related data from a variety of sources, including student schedule information, attendance records and test scores from the school district's student information system, and deposits it in a SAS data mart. Teachers access the role-based system via a portal on their laptops, where they are presented with data relevant to their particular students and classes.

Relatively simple visualization tools allow teachers to then examine student progress by a number of different "core" categories, Hirsch said -- and, more importantly, develop lesson plans to address specific problems.

A teacher may notice that a third grade student has lower-than-average math scores, for example. The teacher can drill down into the data to discover exactly which math areas are giving the student the most trouble, then the SAS-based system can generate recommended lesson plans to meet those problem areas.

Once a lesson plan -- which teachers actually implement via a separate curriculum planning system -- is developed, teachers can check back into the SAS system to track student results against the developed objectives on a weekly or even daily basis.

"We're able to give our teachers and principals predictability models for likely student results on the state assessment tests, and that's done early in the fall," Hirsch said. "When students return in the fall, all the variables that teachers need are basically there, so we're able to run them through the model and they can begin targeting those students [in trouble] early in the school year."

Going forward, Hirsch's team is working on connecting data from the curriculum planning system to the SAS system so teachers can dig into student data and create and carry out lesson plans in one place. That job has been made easier, ironically, by the initial deployment failure back in 2005, which forced internal school district IT workers to really understand how the system works.

"Since we became a more active partner after the meltdown, our own internal knowledge has grown to a great degree in terms of what we know we can connect to," Hirsch said. "We had to take more ownership of understanding what we could do with the tools and what was going to be possible…. We really are masters of our destiny now."

Most importantly, since deploying the SAS system, test scores are up throughout the school district now that teachers can better analyze and respond to student performance.

"Over the last three years, we've probably decreased the number of failures [on state-wide assessment tests] by over 10%," Hirsch said. "The bottom line is it's been a huge success for over two years now, but there was some really quick learning done by both SAS and my team as we first brought this in."



Tags: Business intelligence best practicesBusiness intelligence technology platformData mining and predictive analyticsVIEW ALL TAGS

Digg This!    StumbleUpon Toolbar StumbleUpon    Bookmark with Delicious Del.icio.us    Add to Google



RELATED CONTENT
Business intelligence best practices
Five technology trends for improved business intelligence performance
In-database analytics demystified
Choosing BI software: Use your ERP vendor or go with third-party BI?
Understanding in-database analytics technology: Benefits, uses and ROI
Is in-database analytics an emerging business intelligence (BI) trend?
Trends and tips for using business intelligence and analytics in retail
Trends and tips for using business intelligence in financial services
BT taps open source BI software, homegrown DW to unlock customer data
Data integration for Software as a Service business intelligence software evolves
The importance and benefits of operational decision making

Business intelligence technology platform
Five technology trends for improved business intelligence performance
Choosing BI software: Use your ERP vendor or go with third-party BI?
Data integration for Software as a Service business intelligence software evolves
SAP inks another partnership to enhance NetWeaver BW
Yearbook publisher finds BI reporting, data integration tools from same vendor
A rash of business intelligence acquisitions making waves
What is Enterprise 2.0?
Should we use traditional or agile software development processes?
IBM releases Cognos business intelligence suite aimed at midmarket
Gartner: Take a parallel approach to migrate business intelligence reports

Data mining and predictive analytics
In-database analytics demystified
Is in-database analytics an emerging business intelligence (BI) trend?
Understanding in-database analytics technology: Benefits, uses and ROI
Benefits of operational, real-time capabilities in smart systems
Business intelligence software helps hospitals fight swine flu
Developing countries tap SAS data analytics software to improve governance
SAP, SAS respond to IBM's planned SPSS acquisition
IBM to acquire predictive analytics specialist SPSS
What does MapReduce and in-database technology mean for data warehouses?
Data acquisition and integration techniques

RELATED GLOSSARY TERMS
Terms from Whatis.com − the technology online dictionary
corporate performance management  (SearchDataManagement.com)

RELATED RESOURCES
2020software.com, trial software downloads for accounting software, ERP software, CRM software and business software systems
Search Bitpipe.com for the latest white papers and business webcasts
Whatis.com, the online computer dictionary



Data Management: Business Intelligence, Data Integration, Data Compliance
About Us  |  Contact Us  |  For Advertisers  |  For Business Partners  |  Site Index  |  RSS
SEARCH 
TechTarget provides technology professionals with the information they need to perform their jobs - from developing strategy, to making cost-effective purchase decisions and managing their organizations' technology projects - with its network of technology-specific websites, events and online magazines.

TechTarget Corporate Web Site  |  Media Kits  |  Site Map




All Rights Reserved, Copyright 2005 - 2009, TechTarget | Read our Privacy Policy
  TechTarget - The IT Media ROI Experts