There is a natural tension in most every organization between line of business (LOB) leaders and their information technology/development (IT) counterparts. While both teams have the company’s operational efficiency and profitability foremost in their minds, they also have dramatically different daily goals that contribute to a crisis in expectation. This stems primarily from the disconnect in communication expectations.
Business leaders speak in terms of strategy mapped to economic trends and product innovations, corporate responsibility mapped to leadership development and employee engagement, and financial performance mapped to industry disruptions and regulatory initiatives. Technology leaders speak in terms of the need to align technology with business strategy but are faced with the reality of technical debt, prioritizing innovation with cybersecurity and scale concerns, while navigating talent gaps justifying technology solutions to deliver real value to the organization.
Put simply, LOB speaks in business terms for what should be done, and IT speaks in terms of technological realities of what can be done. Traversing the communication gap and helping with the crisis in expectation is the primary goal of domain directed development.
Domain directed development is a variation of domain driven design but with the difference of having the LOB more directly involved in the delivery of the applications they require to meet their own expectations. While domain driven design prioritizes IT gaining an understanding and modeling of specific business problems area where a software system functions and requires close collaboration with domain experts to gain a thorough understanding of the domain’s details and complexities, there is still a time lag and domain experience gap that impacts delivery. Combine this communication gap with the realities of technical debt you have a better understand of why LOB leans towards shadow IT for an alternate solution.
Put simply, domain directed development reduces the cognitive load and technical debt for IT by putting the power in the hands of the domain expert rather than technical expert.
Why wait for data scientists and data analysts when you can empower LOB subject matter experts to collapse bridge between data and domain to get faster and more insightful insights than normal? Or even worse why trust that nothing will be lost in translation between the technical expert and the domain expert when scoping out the next business initiative?
New techniques with generative AI (GenAI) provide for natural language processing of queries direct to the large language model (LLM) and bypass the need for dedicated resources or tools to generate the information and analytics necessary for LOB leaders to make timely effective decisions.
A company’s bottom line profitability is almost always dictated by the speed and efficiency of LOB decisions and these decisions are predicated on the access to data and understanding of the information required for proper analysis and modeling of potential future states. By disintermediating the communication and time gaps between the domain experts and the technology requirements, you can get ahead of the competitive curve.
Open source, no-code intelligent cloud solutions like UBIX can deliver on the promise of domain directed development to supercharge the quality of reporting and analysis with a decision intelligent cloud. By consuming all on-premise infrastructure, cloud-based infrastructure and cloud application datasets directly, UBIX makes the integration seamless and ensures that your existing data assets are fully utilized by LOB with a simple natural language query. This also frees data scientists and data analysts to address innovations instead of generating more superfluous reports.
Understanding the nuances of domain directed development with a decision intelligent cloud and how a no code solution can deliver on the promise of bridging the communication gap between LOB and IT has never been easier. Download our free eBook titled “Solving the Problem of Data and Decision Making” to help better understand the details of emerging AI concepts and how to ensure digital transformation and business-led AI success. Or if you can spare 22 minutes for a mini–AI Readiness Workshop, you can contact one of our AI experts today.