Relevance
The degree to which the composition of datasets meets the needs of the data consumer.
- •Users receive information that is pertinent, applicable, and useful for their specific roles, tasks, and decisions.
- •Reduced information overload and improved focus on key data points that matter.
- •More efficient and effective decision-making as users are not sifting through irrelevant or distracting data.
- •Higher adoption rates and perceived value of reports, dashboards, and analytics tools.
- •Information overload leading to analysis paralysis, user fatigue, or users ignoring reports and data altogether.
- •Wasted time, cognitive effort, and resources for users trying to find truly relevant information within large, unfocused datasets.
- •Poor or delayed decisions if critical relevant data is obscured by a high volume of irrelevant information.
- •Low user satisfaction with data systems, reports, and BI tools that don't meet their specific needs.
Story
Logistics: The sales performance dashboard provided to account managers includes only the KPIs directly related to their sales targets, customer activity, and pipeline for their assigned accounts.
Marketing: A campaign analysis report focuses on metrics relevant to campaign objectives, such as click-through rates, conversion rates, and cost per acquisition, omitting irrelevant operational data.
Executive Reporting: A concise executive dashboard presents high-level summaries of financial health, market share, and strategic goal progress, with drill-down capabilities for details if needed.
Logistics: A safety incident report for yard operations includes highly detailed equipment maintenance logs from the past 5 years, which are not directly relevant to analyzing the specific incident.
Marketing: A weekly sales performance dashboard sent to regional sales managers includes detailed IT system server logs, which they don't need or understand.
Executive Reporting: A monthly financial summary for the CEO is cluttered with hundreds of line-item transaction details instead of focusing on key performance indicators and trends.