Pilot projects may point to ways to simplify and streamline. Examine your business processes, as well as the IT infrastructure, databases and applications that support them. Because companies can pay only for the computing they use, the public cloud offers flexibility that supports the shifting workload levels and volumes of data inherent in extreme transaction processing.Ĥ. Once the potential business case for extreme transaction processing is clear, companies should begin to experiment with new transaction processing technologies.ģ. But in many cases, the business outcomes from extreme transaction processing-and therefore its value-may not be instantly clear.Ģ. A sanitation company, for example, may save half a million dollars annually by installing $150,000 worth of IoT devices in garbage bins and dumpsters to monitor when they need to be emptied. Doing so presents significant challenges for the average large enterprise, whose existing IT infrastructure is built to process traditional transactions such as orders, payments, enrollment, account creation or customer cases from centralized applications in batches.Ī successful transformation depends on understanding the business problems extreme transaction processing would solve, and then putting the appropriate technology in place. Leaving aside the Internet of Things, each of the world’s smartphones has multiple sensors, including a magnetometer, barometer, thermometer, gyroscope, proximity sensor, accelerometer and light sensor, all generating data and, potentially, transactions.īut capturing enormous amounts of concurrent transactions in large and rapidly growing databases with full data consistency, high availability, instant failover and zero data loss takes new technology, people and processes that most large enterprises have not employed before. The amount of information that organizations must process will grow dramatically, driven in part by the increased volume of transactions that will be performed not just by humans but by machines, as well. The digital economy is already generating data at an exponentially increasing rate. Companies will have to establish the value of extreme transaction processing for their businesses to develop the right processes and systems to meet their particular high-volume processing requirements. No single technology solution will fit every organization or business case, and the evolution to extreme transaction processing is as much a change management challenge as a technology one. To compete in the digital economy, most enterprises will need to transform their transaction processing systems, rethinking their transaction processing architecture and databases for extreme speed and extremely diverse workloads.
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