CASE STUDY
For time immemorial , government entities in Uganda have worked in isolation of each other , working in silos , while they should be seen working as one entity serving its citizens . This work in isolation was primarily due to the inability to share data easily and securely among government entities .
This has hampered service delivery by taking a long turnaround time in processing service requests since all information supplied by applicants was manually verified , processed and stored . Entities spent colossal sums of money in receiving , processing and storing verifiable documents
The need for data sharing among government entities and the private sector is due to the following requirements .
• In public service offering , where the legal mandate of one entity stops and another one starts , this calls for data sharing from one government entity to another to enhance the quality of service offering .
• There are legal requirements for some entities to share information on a regular basis with others . I . e ., all financial institutions are required by law to share information with the Central Bank .
• In the process of service offerings , there is a process of verification of information supplied by the applicant . For individuals , this process is called Know your customer , KYC and for other legal entities it is called Know Your Business , KYB .
Legacy pain points
Before implementation of the data integration platform , different government entities were at different levels of automation . To facilitate automated data sharing among government entities the following limitations were encountered .
• Some government entities were not yet fully automated to allow seamless data sharing .
• Some were legacy systems that do not support secure system-to-system data sharing .
• Some systems were built over different platforms , technologies and standards with no interoperability framework in place at that time .
• A few entities were still operating in manual mode and maintained their data in manual files or saved as data files .
To have these entities integrated for data sharing would require extended efforts in building custom mediators and connectors to achieve individual specific integrations . Owing to the increasing data sharing needs , focusing on individual point to point integration
BEFORE IMPLEMENTATION
OF THE DATA INTEGRATION PLATFORM , DIFFERENT GOVERNMENT ENTITIES WERE AT DIFFERENT LEVELS
OF AUTOMATION .
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