Operations Analytics · Decide

See where your work gets stuck. Then unstick it.

When orders take nine days that should take four, everyone blames a different department. We map your process from the data, find the real bottleneck, and rank the fixes by the impact each one will have.

  • The real bottleneck, found in the data
  • Faster turnaround, measured
  • A ranked, costed fix list
Cycle time
Intake0.6d
Approval4.1d
Fulfil1.2d
Ship0.5d
BottleneckApproval
In short

Operations Analytics finds the one step slowing everything down and fixes it. Yovance maps your process from data, analyses cycle times and capacity, and ranks the bottlenecks, then helps implement and measure the fixes, so throughput rises without adding people or hours.

The problem

Slow operations are rarely one obvious failure; they are a bottleneck hiding between departments. The data knows where it is, even when the team does not. The classic case:

"
Orders take 9 days when they should take 4.
"
Everyone blames a different department.
"
We have improved things that were never the real constraint.
Who it is for

Is this right for you?

Built for you if

  • Manufacturers, fulfilment operations and service delivery teams
  • Agencies, hospitals and clinics
  • Anywhere work moves through stages and gets stuck

Probably not for you if

  • Very small operations with no stage-by-stage timestamps or tickets
What you get

Everything in the Operations Analytics program.

Process mapping from data

We reconstruct how work actually flows from timestamps, tickets and ERP logs, plus interviews, not from an idealised diagram.

Bottleneck and cycle-time analysis

Cycle time measured stage by stage, so the real constraint is obvious rather than assumed.

Capacity and utilisation model

A model of capacity and utilisation, so you know what each stage can actually handle.

Prioritised fixes

A ranked list of fixes across process, automation and staffing, each with its expected impact.

Before and after measurement

If we implement, we measure the change against the baseline so the improvement is proven, not claimed.

How it works

From kickoff to results, step by step.

1
Week 1

Baseline and data

We agree the baseline and gather timestamps, tickets and logs.

2
Weeks 2 to 4

Diagnose

Process map, cycle-time and bottleneck analysis, and the capacity model.

3
Week 5 onwards

Fix and measure

We hand off a ranked fix list, and can implement and measure the before/after if you want.

Our promise

What we commit to, and what we will not fake.

We promise

  • A measured baseline
  • A ranked list of bottlenecks with impact estimates
  • A before/after report if we implement the fixes

We will not promise

  • A fixed percentage improvement before we have seen your process
Pricing

Simple, printed prices.

India-first pricing shown in INR. Switch to USD in the top bar for international rates.

Start here
Bottleneck diagnostic
₹45,000$1,100one-time
One process or department, mapped and diagnosed.
  • Process mapping from data
  • Cycle-time analysis
  • Capacity model
  • Ranked fix list
Get started
Diagnostic + implementation
₹1,50,000+$3,500+one-time
The diagnostic plus fixes, automation and measurement.
  • Everything in Diagnostic
  • Fixes + automation
  • Before/after measurement
  • Team handover
Talk to us
Ops dashboard retainer
₹30,000$700/mo
Ongoing monitoring and a monthly review.
  • Live ops dashboard
  • Cycle-time monitoring
  • Monthly review
  • Alert on new bottlenecks
Talk to us

Implementation often hands off to our Marketing Automation or Custom Platform team. GST extra.

Straight answers

Operations Analytics FAQ.

We reconstruct the process from your actual data (timestamps, tickets, ERP logs) and measure cycle time stage by stage. The constraint shows up in the numbers, which is usually not where the team assumes it is.

The ranked fix list covers all three levers: process change, automation and staffing, each with an expected impact. If automation is the answer, our automation team can build it.

Yes, when we implement. We measure against the week-one baseline and give you a before/after report, so the gain is demonstrated rather than asserted.

Three to five weeks for one process or department, depending on how clean the timestamp and ticket data is.

Ready when you are

Let's talk about Operations Analytics.

Tell us where you are today. We will show you exactly what Operations Analytics would do for your business, and what it costs. No obligation.