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Start with the problem

Fragmented Information

Important information is distributed across disconnected systems, documents, teams, or formats, making it difficult to find, trust, connect, or reuse.

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Connected context

Understand Fragmented Information in context.

Ingenuity’s taxonomy is a relationship model. Each term becomes more useful when it is connected to the problems, outcomes, capabilities, contexts, and evidence around it.

Outcomes to pursue

Greater Visibility and Control Faster and Better Decisions Scalable Digital Operations Better Data and Information Quality Improved Institutional Learning Greater Organizational Agility Improved Customer Experience Increased Team Productivity

Affected audiences

Chief Information Officer Data and AI Leader Enterprise Leadership Team Enterprise Architect Chief Operating Officer Operations Leader Chief Executive Officer Product Leader

Related challenges

Disconnected Teams and Workflows Data Quality Problems Poor System Visibility AI Readiness Gaps Difficulty Turning Data into Action Slow Decision-Making Legacy System Constraints Loss of Institutional Knowledge

Evidence and thinking

See the relationship model working.

Case studies show application. Insights, frameworks, and resources expose the reasoning and knowledge that support the work.

Case studies

Evidence from delivery

Knowledge

Insights, frameworks, and resources

Business Challenges

Follow adjacent terms to see how the same services, knowledge, and evidence connect from another angle.

Business challenge Disconnected Teams and Workflows Teams operate with fragmented tools, responsibilities, handoffs, or priorities, causing delays, duplication, rework, and loss of context. Business challenge Data Quality Problems Data is incomplete, inaccurate, duplicated, stale, inconsistent, poorly structured, or insufficiently governed for reliable use. Business challenge Poor System Visibility Teams lack timely visibility into system status, operations, performance, risk, or dependencies, limiting their ability to respond effectively. Business challenge AI Readiness Gaps The organization lacks one or more prerequisites for useful and responsible AI adoption, such as quality information, governance, skills, integration,… Business challenge Difficulty Turning Data into Action The organization collects data but struggles to convert it into timely understanding, decisions, prioritized actions, or operational change. Business challenge Slow Decision-Making Decisions take too long because context, evidence, ownership, or information is unavailable, delayed, inconsistent, or difficult to interpret.

Start with the context

Does this challenge sound familiar?

You do not need to know the technology or implementation approach yet. Start with the challenge and the outcome you want to create.

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