Why does a product approach lends itself perfectly to Business Intelligence?
Whether for internal strategic decision-making or as the basis for a business model, Business Intelligence refers to the set of processes and tools used to transform data into actionable insights for end-users. By definition, the discipline navigates between technical constraints (completeness, consistency, validity, timeliness, clarity and data security among others!) and evolving business expectations and market questions.
An holistic approach to data processing driven by added value to the end user therefore seems to be the only way to meet current business needs and ensure that developments remain relevant over time. In this sense, processing Business Intelligence developments within BI products enables to :
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Maximize user adoption by delivering product increments closer than ever to the current business needs, while maintaining flexibility through short, iterative development cycles.
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Ensure the long-term viability of developments by providing a response to a mature prioritized needs expression, with an understanding of expectations and constraints by all the stakeholders involved.
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Involve every project member by ensuring working towards a common, identified and shared objective.
Choosing a product approach for your BI developments means deciding to adopt a vision of a continuous service provider for your customers, and no longer responding solely to punctual acceptance criteria. At the frontier between technical and business challenges, it is therefore essential to bring on board profiles capable, in the long run, of creating and maintaining BI products that meet evolving needs. It is a this crossroads that Unsplit is positioned today: a multi-disciplinary team capable of understanding business challenges, while detaining the knowledge around technical constraints and having the ability to approach all Business Intelligence facets.
May 21st 2024