Building an Analytics Operating Model

Putting structure around people, process and platforms so analytics stops being ‘best efforts’ and becomes a system.

Building an Analytics Operating Model

Putting structure around people, process and platforms so analytics stops being ‘best efforts’ and becomes a system.

Why this matters

Most teams are rich in data but poor in momentum – the ideas are there, but the structures to act on them are missing.

Strategy-focused analytics pieces like this one exist to connect numbers with decisions, not just dashboards.

What you'll learn

  • How to link analytics work to clear business outcomes and leadership priorities.
  • How to design processes that reduce rework, ambiguity and time-to-insight.
  • How to build rituals that keep data, experimentation and strategy in sync.

How to put this into practice

  • Use the ideas here as a checklist when you review how your own analytics function operates today.
  • Share a distilled version with leadership to spark a conversation about where analytics should sit in the decision flow.

If you'd like help applying the ideas from “Building an Analytics Operating Model” inside your own organisation, this is exactly the kind of work Alun_lytics Insights supports – from GA4 and Power BI through to CRO, experimentation and analytics operating models.

You can explore more articles in the Content Hub, or get in touch directly if you want to talk about a specific challenge.

Related reading

Putting structure around people, process and platforms so analytics stops being ‘best efforts’ and becomes a system.

Why this matters

Most teams are rich in data but poor in momentum – the ideas are there, but the structures to act on them are missing.

Strategy-focused analytics pieces like this one exist to connect numbers with decisions, not just dashboards.

What you'll learn

  • How to link analytics work to clear business outcomes and leadership priorities.
  • How to design processes that reduce rework, ambiguity and time-to-insight.
  • How to build rituals that keep data, experimentation and strategy in sync.

How to put this into practice

  • Use the ideas here as a checklist when you review how your own analytics function operates today.
  • Share a distilled version with leadership to spark a conversation about where analytics should sit in the decision flow.

If you'd like help applying the ideas from “Building an Analytics Operating Model” inside your own organisation, this is exactly the kind of work Alun_lytics Insights supports – from GA4 and Power BI through to CRO, experimentation and analytics operating models.

You can explore more articles in the Content Hub, or get in touch directly if you want to talk about a specific challenge.

Putting structure around people, process and platforms so analytics stops being ‘best efforts’ and becomes a system.

Why this matters

Most teams are rich in data but poor in momentum – the ideas are there, but the structures to act on them are missing.

Strategy-focused analytics pieces like this one exist to connect numbers with decisions, not just dashboards.

What you'll learn

  • How to link analytics work to clear business outcomes and leadership priorities.
  • How to design processes that reduce rework, ambiguity and time-to-insight.
  • How to build rituals that keep data, experimentation and strategy in sync.

How to put this into practice

  • Use the ideas here as a checklist when you review how your own analytics function operates today.
  • Share a distilled version with leadership to spark a conversation about where analytics should sit in the decision flow.

If you'd like help applying the ideas from “Building an Analytics Operating Model” inside your own organisation, this is exactly the kind of work Alun_lytics Insights supports – from GA4 and Power BI through to CRO, experimentation and analytics operating models.

You can explore more articles in the Content Hub, or get in touch directly if you want to talk about a specific challenge.

Putting structure around people, process and platforms so analytics stops being ‘best efforts’ and becomes a system.

Why this matters

Most teams are rich in data but poor in momentum – the ideas are there, but the structures to act on them are missing.

Strategy-focused analytics pieces like this one exist to connect numbers with decisions, not just dashboards.

What you'll learn

  • How to link analytics work to clear business outcomes and leadership priorities.
  • How to design processes that reduce rework, ambiguity and time-to-insight.
  • How to build rituals that keep data, experimentation and strategy in sync.

How to put this into practice

  • Use the ideas here as a checklist when you review how your own analytics function operates today.
  • Share a distilled version with leadership to spark a conversation about where analytics should sit in the decision flow.

If you'd like help applying the ideas from “Building an Analytics Operating Model” inside your own organisation, this is exactly the kind of work Alun_lytics Insights supports – from GA4 and Power BI through to CRO, experimentation and analytics operating models.

You can explore more articles in the Content Hub, or get in touch directly if you want to talk about a specific challenge.