Nowadays, any IT concept that generates value and has traction in the market becomes so over-used in publications and speeches that it gradually loses its true meaning and becomes a cliche.
Digital Transformation is no exception. We can barely see through the buzzwords and get the true understanding of how this type of service helps organizations get the most out of their resources and streamline their processes.
Rinf.tech’s approach to Digital Transformation aims to cut through the clutter and get to the roots of our customers’ real needs and pains first.
We pin-point real problems and focus our solution design and architecture capabilities to improve the way our customer’s business works whilst keeping their business running throughout the process.
Simply put, #Digital Transformation implies the intertwinement of two fundamental activities:
Every process improvement iteration is done through a set of predefined steps:
It may sound long and daunting, but we do it fast and precise while keeping each step documented for future analysis.
Changing nuts and bolts on a running engine is not a walk in the park, but our team of trialed and tested technical consultants are here to get this done.
Identify and extract the business context and the delivery context as perceived by the customer. Identify and map the current execution process as perceived by the customer
Define the Future Mode of Operation: How the execution process will look like, what non-IT activities will be digitized and how all these changes will impact BAU (business as usual)
Define the quality parameters of the solution, the quality assurance and the quality control process for the automated solution. As well as how to measure against thresholds.
Chose development tools, technologies, techniques, development frameworks, programming patterns. Actual implementation of the architecture framework. Define guidelines and practices, development process and procedures.
Define sprint backlog for maximum relevance for the business through low hanging fruits.
Particular iterations must be ready for pilot deployment with immediate effect on business operations.
Make sure the failover mechanism are in place and triggered on failure markers. Define procedures for roll-back to current mode of operation in case of solution downtime.
Make sure the data from all types of logs are relevant for the production environment. Make sure all business operations steps are covered by logs data.
Compare the performance indicators of the new mode of operation with the desired business outcomes (measured as KPIs). Does the new mode of ops lead to the desired business outcome?
Compare the performance indicators of the new mode of operation with the desired business outcomes (measured as KPIs). Does the new mode of ops lead to the desiredbusiness outcome?
Measure the efficiency of all the integrations (hw and sw). Measure how the digitized activities influence the overall efficiency in comparison with the manual ones.
Define analysis dimensions together with the stakeholders. Define OLAP cubes and prepare the ETL (extrat transform & load) functions to get the data into the desired analysis framework.
Define what are the most relevant correlations that should be monitored. Define what statistics correctly map the business KPIs. Consultancy from Data Scientists will be used.