How to Drive More Efficiency for Your Data Analytics Team

Building a more efficient analytics team with EARTH

Sharon Flynn uses a simple but powerful acronym to guide her leadership approach: EARTH. It stands for Empathy, Automate, Relentless, Transparency, and Harmony. These five principles serve as a foundation for running a data analytics function that maximizes both efficiency and impact.

1. Empathy

Empathy means understanding the context, motivations, and constraints of others across the organization. When there is friction or misalignment between teams, start by asking what incentives are at play. Identifying and addressing those differences leads to better collaboration and stronger data partnerships.

2. Automate

Analytics teams should focus their energy on delivering insights, not manual tasks. If team members are copying and pasting data or performing repetitive cleaning tasks, that is a red flag. Automation is not about expensive software: it starts with better use of tools already in place, such as spreadsheets and basic scripting.

Sharon emphasizes that Excel, while often overlooked, can be incredibly powerful when used properly. The key is to trace inefficiencies back to their root in the data manufacturing pipeline and build automation around those gaps.

3. Relentless

Being relentless means maintaining a sharp focus on the value of every output. One of Sharon’s guiding principles is that every ad hoc request signals a failure in the analytics workflow. While unique or bespoke analysis has value, most ad hoc requests stem from gaps in reporting, user training, or dashboard accessibility.

If stakeholders are repeatedly asking for data that should already be available, the team needs to ask why. Are standard reports insufficient? Is there fear of using the tools? Fixing the root issue creates space for high-value work and reduces burnout.

4. Transparency

Transparency is about clearly communicating what the analytics team does, how it works, and why. This includes sharing processes, logic, and methodologies behind reporting outputs. When stakeholders ask how something was calculated, teams should be able to respond confidently and explain the process behind it.

Transparency builds trust and accountability, and it turns the analytics team into a strategic partner rather than a black-box service provider.

5. Harmony

Harmony focuses on team structure and long-term cohesion. At BMO, hiring is approached with a future-oriented mindset. When someone joins or moves on, the team considers what skills and personalities are needed two to three years down the line. New hires are expected to challenge the status quo and contribute to team growth.

Sharon also bans invisible work and discourages overtime. Excessive hours often mask inefficiencies and lead to burnout. By tracking ad hoc tasks and streamlining operations, the team stays healthy and focused.

Scaling with a small but strategic team

Sharon’s team at BMO consisted of just nine people, but they supported over 900 end users across the organization and maintained between 2000 and 3000 dashboards and visualizations. Their secret was not headcount. It was structure, clarity, and relentless prioritization.

Instead of operating from gut feel or institutional memory, the team built a culture grounded in responsibility. Every decision was treated as a resource decision, respecting the investment of time, talent, and shareholder value.

This mindset enabled the team to deliver insights at scale, with agility and minimal waste.

Why analytics matters now more than ever

The importance of analytics increases in times of uncertainty. During global disruption, traditional benchmarks like year-over-year or quarter-over-quarter comparisons break down. In Sharon’s words, this creates a true thirty-day agile environment where only current performance and fast iteration matter.

Organizations that integrate data into their decision-making processes will adapt faster and more effectively than those that rely on instinct or inertia. Analytics becomes a stabilizing force, offering clarity amid volatility.

Data reduces the cognitive load on decision-makers and supports objectivity in fast-changing environments. Whether planning new initiatives or adjusting existing campaigns, analytics ensures that actions are rooted in facts rather than assumptions.

Organizations that use data to identify pain points, assess marketing readiness, and involve subject matter experts in decision-making will build more resilient operations.

Final thoughts

Efficiency in analytics does not come from cutting corners. It comes from thoughtful leadership, strategic tooling, and a commitment to high-value work. Sharon Flynn’s EARTH framework offers a practical roadmap for analytics leaders looking to scale their impact while maintaining team health and data quality.

In times of economic pressure and rapid change, data becomes more than a reporting tool: it becomes a strategic advantage.