ANALYTICS + DASHBOARDS

Analytics should turn data into action.

If your dashboards don’t change behavior, they’re not doing their job.

LeanGo builds dashboards to support real operational problem-solving — helping teams see issues early, focus on what matters most, and act with confidence.

The Real Problem with Most Analytics

Most organizations already have dashboards.
What they don’t have is clarity.

Common frustrations we hear:

“We have data, but we still react too late.”
“Everyone is looking at different numbers.”
“Dashboards exist, but no one uses them.”
“Reports explain what happened — not what to do.”
“Metrics are reviewed monthly, not daily.”

These aren’t data problems.
They’re problem-solving problems.

What Dashboards Should Actually Do

Dashboards should help teams:

See problems before they turn into misses
Understand what matters right now
Align around the same priorities
Support daily and weekly decision-making
Know whether improvements are holding

If a dashboard doesn’t lead to a conversation or an action, it’s noise.

How LeanGo Uses Analytics

We don’t build dashboards in isolation.
We use analytics as part of our Cost, Quality, and Delivery improvement work.

Dashboards are designed to answer questions like:

Where are we losing time, money, or flow today?
Which problems matter most this shift or this week?
Are our improvements actually working?
Where should leaders focus their attention?

Analytics exist to support people, not impress leadership.

Problems We Commonly Solve with Dashboards

Cost Visibility

Scrap and rework trends
Overtime and labor efficiency
Inventory and WIP exposure
Cost drivers tied to process issues

Outcome: Teams understand why costs are rising — and what to do about it.

Delivery & Flow

On-time delivery performance
Schedule adherence
Bottlenecks and constraints
Lead time and throughput trends

Outcome: Less firefighting. More predictable delivery.

Quality Performance

Defect trends by product, line, or shift
Root cause and corrective action tracking
First-pass yield and rework visibility

Outcome: Fewer repeat issues and faster response when problems appear.

Improvement Sustainment

Are improvements holding?
Are standards being followed?
Are actions being completed?

Outcome: Improvements don’t fade after the initial push.

Why Dashboards Fail (and How We Fix It)

Typical Dashboards

Built for reporting

Reviewed monthly

Static views

Too many KPIs

Owned by analysts

LeanGo Dashboards

Built for problem solving

Used daily or weekly

Focused on what drives action

Connected to routines

Owned by the team

We design dashboards around how decisions are actually made, not how data is stored.

How Analytics and Apps Work Together

Dashboards are only as good as the data behind them.

That’s why analytics and applications go hand-in-hand.

Apps capture information where the work happens
Dashboards turn that information into insight
Teams use that insight to act and improve

Apps without dashboards create busywork.
Dashboards without good apps create blind spots.

We design both together when it makes sense.

How We Build Dashboards

Start with a real Cost, Quality, or Delivery problem

Identify the decisions people need to make
Define the few metrics that actually matter
Build simple, visual dashboards
Test them in daily or weekly routines
Adjust based on how teams actually use them

Dashboards evolve as the work evolves.

What Makes This Different

We don’t lead with BI tools or features

We don’t build dashboards “just in case”
We don’t overload teams with metrics
We don’t separate analytics from real work

We use dashboards as a problem-solving aid, not a reporting obligation.

Struggling to turn data into action?

Start with a Free First Working Session.
We’ll help you identify a real Cost, Quality, or Delivery problem — and show how analytics can support better decisions immediately.