Digital Transformation – A Call for Business User Experience Driven Development
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In order to transform organizations digitally, it is critical to understand and analyse the disruption effects from the point of view of the business model or a target consumer group. While organizations layout their roadmap to achieve transformations, they often invest in techniques and methodologies without a vision on business analytics, intelligence and end up creating a non-manageable platform and data graveyard. The illusion of achieving the silver lining in analytics and data insights for business is creating a critical roadblock in the path of optimized and scalable mechanisms of developing a well-oiled data management system.
With the growing practices in designing business data management and analytics systems, it is a complex problem to design a scalable and a mature system. Here, we try to discuss on how to, with the changing dimension of platform offerings, use portability as one of the key parameters to scale efficiently and effectively. Also, artificial intelligence (AI) becomes a key component in many optimizations in specific scenario of software applications but when it comes to business data management, we only use it for insights, predictions and seldom map the power of AI to manage the data effectively. We discuss various approaches to address the criticality of the business scenarios and how we can implement the focus on data at its core.
KeywordsBusiness intelligence Business strategy Portability Metadata management
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