What is a Decision Intelligence Recommendation?
A decision intelligence recommendation represents a very specific, actionable suggestion for what decision should be taken to help achieve an improvement against a key business metric. These recommendations are characterized by being clear, measurable, and tailored to enhance specific business outcomes or initiatives.
Why it matters
Recommendations function as counterparts to opportunities—while opportunities identify moments when performance improvements are possible, recommendations suggest the actual actions to exploit those opportunities and generate additional business value. They are highly targeted and easily actionable for implementation.
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Related concepts
Diwo's Decision Intelligence Platform generates an opportunity as a result of its analysis. The platform applies business context to identify areas of performance improvement against specific business metrics. These opportunities serve as the foundation for business recommendations that address or explore potential areas of business improvement.
Evidence represents the pertinent data and analytical logic enabling users to authenticate recommendations from a decision intelligence system. It encompasses the insights that prompted the recommendation alongside supporting data utilized by models and the DI platform. Evidence frequently aligns with essential metrics and KPIs, incorporating projected impacts of recommendations expressed using the same measurement terms.
Decision-making in a business context refers to frameworks used by managers and stakeholders to: identify a business challenge, collect and analyze relevant data, generate and evaluate possible solutions and their potential outcomes, choose and implement one course of action in business operations, and then monitor its progress and make changes as needed.
A Business Context Graph (BCG) is an interconnected dataset that's been enriched with meaning. It enables Diwo's applications to apply reasoning against data sources, supporting complex decision-making processes. Traditional databases suffer from static, shallow context, which limits intelligence capabilities—BCG adds the semantic layer required for decision intelligence.