Actionable Decisions from Data

The company had invested heavily in data infrastructure and hired talented analysts, but executives still struggled to make confident decisions. Each department tracked its own metrics, often with conflicting definitions and no clear link to company strategy.

Specific challenges included:

• Leadership team reviewing 40+ metrics weekly with no clear prioritization
• Three different definitions of "active customer" across departments
• Ad hoc analysis taking precedence over strategic insights
• Data scattered across multiple systems with no single source of truth
• Analysts spending 70% of time on data wrangling vs. generating insights

New Wave Associates led a structured approach to metric rationalization and insight generation:

• Strategy Alignment (Weeks 1-2): Facilitated executive workshops to clarify strategic priorities, identified critical business questions that metrics should answer, and mapped existing metrics to strategic objectives.
• Metric Design (Weeks 3-6): Defined "vital few" KPIs for Board, executive team, and functional leaders, created metric dictionary with clear definitions and ownership, designed leading and lagging indicator framework, and established thresholds for escalation and action.
• Data Infrastructure (Weeks 7-12): Built centralized data warehouse as single source of truth, automated data pipelines to reduce manual work, created self-service dashboards for different stakeholder levels, and implemented data governance protocols.
• Cadence & Culture (Weeks 13-16): Redesigned meeting structures around KPI review and action planning, trained leaders on how to use data to drive decisions, established monthly business review rhythm, and created continuous improvement feedback loop.

The new data and KPI framework transformed how the company operated:

• Leadership team reduced metrics reviewed from 40+ to 12 core KPIs
• Meeting time spent on data clarification decreased by 75%
• Analytics team shifted from 70% data prep to 70% insight generation
• Decision velocity improved as executives had confidence in data accuracy
• Board meetings now focused on strategic discussion vs. metric clarification

The company now has a sustainable analytics capability that scales with the business, with clear ownership and continuous improvement processes embedded in their operating rhythm.