Sramana Mitra: If you were to synthesize in this case study, what specifically is your value addition to this use case? Can you summarize and align?
Lou Guercia: Microsoft would say they have the technology assets to solve the challenges that the state is experiencing. Tribridge has worked with other states’ Department of Corrections and brings in industry expertise, having understood the workflow, the disparate types of data sources that are required to develop a world class system for incarceration supervision and rehabilitation. We at Scribe are experts at making sure that the correct data according to the workflow models is of the proper quality – that it’s delivered to the right systems, that error checking and the integrity of that data is absolutely correct. We, essentially, are the data integration piping that runs throughout the state of Illinois system.
Sramana Mitra: Your value proposition is data integration and data cleansing?
Lou Guercia: Yes, we would work with third-parties. We don’t develop the data cleansing technology ourselves. We would use that in conjunction with our own software. In this case, we are the data integration hub that would connect, integrate, and transform the data from these 40 different systems into one cohesive networked solution for what was ailing the state of Illinois. So we are the data integration solution for the workflows that were determined by the systems integrators and the technology from Microsoft.
Sramana Mitra: Let’s do another example, ideally, from a different industry sector.
Lou Guercia: Let’s go from prisoners to something fun – sports. We actually won an award for this implementation with the Oklahoma City Thunder where we’re integrating into a CRM system. We have 55 professional sports teams globally that use Scribe for integrating the central repository of customer data that all these professional sports teams have. Very often, our value proposition extends to the integration of ticketing data.
Many of us will attend a sporting event. We may go to an online agency such as Ticketmaster and they will collect attendance and do profiling of data. They’ll do amazing things in terms of fan segmentation. They’ll correlate credit card numbers to games to determine that even though you live on the West Coast, you are more likely to attend on Oakland A’s game when the Red Sox are in town because your credit card number is associated with a record in their file. They may send you off an email campaign saying, “Hey, we have a great package. You can see three games for the price of two.” This is an area where we have built deep expertise – integration into attendance data from third-party ticketing systems and correlate that to the use cases for professional sports teams.