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Public Sector: Improved

Public Sector: Improved

DrivenBI delivers real-time collaborative data analytics

In today’s ever evolving demands on the public sector, data-driven analysis has become essential to helping the city, county, and state levels of government to improve public services when achieve their proactive budget controls.


A government agency needs a cost effective solution that also takes advantage of the power of today’s cloud based and self-service oriented BI technologies other than IT centric BI tools or individual-based spreadsheet analysis. One that offers a simple, flexible and scalable analysis platform to help you easily create dynamic and real time analysis to assess the performance of your services and deliver a just-in-time response to serve your citizen communities. SRK cloud based self-service analysis platform is your solution.

SRK: Transforming a Manual Process into Automatic Analysis

One area of specific interest and concern that has become more critical and complicated in the past years has been the increasing demands on public transportation. Today, public transportation serves millions of commuters every day. Delays, departure times, and real-time traffic conditions are constantly being requested by commuters for access to service updates via their mobile phone, app, and web. These requests need to be monitored and managed 24/7. Any downtime could lead to alternative services being overloaded, resulting in unnecessary congestion and impacting the quality of service to the public.


Because of the different means from which data is being requested, data must be collected from various sources and then consolidated to create the analysis. The tremendous effort involved in manually collecting all of this data for analysis, leads to analysis only being generated every 3 months and the inability to quickly assess recent trends and allocate resources appropriately.


Transportation agencies using SRK can now stay on top of the mass transit and vehicle traffic flow of activity in their communities by designing their analysis logic once and automatically collecting data from the variety of data sources to continually update their analysis. With SRK, they can set their own thresholds to monitor their public service level goals and create alerts to notify them immediately if any of their defined thresholds were exceeded. Bottlenecks and overloads of the supporting communication systems can be avoided while being able to improve the flow of continuous and accurate transit and traffic information to the public.