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Mero Limited Google Cloud Analytics | SAP Analytics | Workday Adaptive Planning | Payroll Compliance Solutions

Mero designs and develops analytics, planning and data engineering solutions. We drive insight into our customers’ businesses and in doing so, we greatly enhance your ability to make high-impact and factually informed decisions. From modern analytics architectures through to fast and agile delivery – we nurture and develop a deep level of expertise within our team. Dashboards, data lakes, analytics platforms and financial forecasting are what we do.

- Google Cloud Analytics -
We can help you build a modern analytics platform leveraging core components such as Google BigQuery, Apache Airflow, dbt and Jupyter Notebooks; enhance design with the pre-built Google Cortex Frameworks; and extend your predictive and Generative AI models with Google Vertex AI. We also offer a Google Cloud managed service, with our analytics OnRamp solution to kickstart your journey.

- SAP Analytics -
We are specialists in helping our customers to architect, design and create modern data stacks that incorporates your SAP data into underlying cloud data warehouses. We offer specialist consultants for SAP Analytics Cloud (SAC), SAP Datasphere as well as all your existing SAP BW platforms.

- Workday Adaptive Planning –
Let us help you streamline your budgeting, forecasting and planning processes so you can get rid of that multitude of monthly spreadsheets that take forever to put together. Our consultants are expert & proven providers of Workday Adaptive Planning – modern cloud planning software built for business agility.

- Payroll Compliance Solutions -
Our innovative cloud-based Holidays Act Remediation Engine (HARE), enables you to recalculate leave & payment entitlements. We offer a configurable flexible engine for remediation, an always-on monitoring console along with some of New Zealand’s best payroll compliance advisory. We have deep expertise in implementing solutions based on these platforms as well as supplementing your needs with a wide range of open-source analytic technologies.

If your finance dashboard and your Databricks tables give different revenue numbers, which one is right?When BI sits in ...
14/10/2026

If your finance dashboard and your Databricks tables give different revenue numbers, which one is right?

When BI sits in a separate tool fed by extracts, that question comes up more often than anyone would like. Data gets copied, definitions get rebuilt in two places, and before long the numbers don't match. You end up paying for two platforms and fully trusting neither.

This week Databricks was named a Visionary in the 2026 Gartner® Magic Quadrant™ for Analytics and Business Intelligence Platforms. Databricks' argument is that BI belongs inside the data platform, with metrics and business definitions set once and governed in one place, so dashboards, analysts and AI agents all work from the same answer.

Even if you keep your BI where it is, ask yourself whether you're getting full value from the Databricks platform you already pay for.

We wrote about that here: https://ap1.hubs.ly/H01rnKY0

Already have Databricks? See why implementation, not the platform, decides real value. Mero is a New Zealand Databricks implementation partner.

Signing off on Workday Adaptive Planning is the easy decision. The harder one is what happens after go-live.If your fina...
12/10/2026

Signing off on Workday Adaptive Planning is the easy decision. The harder one is what happens after go-live.

If your finance team needs a consultant every time a model has to change, the implementation isn’t finished. It has just moved the dependency.

Our approach is built around one outcome. Your team runs the platform themselves. 🎯

Here’s how we get there.

🔹 Phased delivery. Core P&L and balance sheet models come first, so you see value in the first phase instead of waiting for a big bang go-live.

🔹Training during the build, not after it. Your people build the models alongside our consultants, so they know where to look when something needs adjusting.

🔹 Responsibility shifts on purpose. By the final phases, our role is advisory and your team is doing the work.

🔹 Risk handled early. Scoping workshops and dedicated data engineering surface data quality issues before they derail the timeline.

It’s the same approach behind our work with the finance teams at Resene, Sport NZ and Orion Health.

Hamish Blyth, our Planning Solutions Manager, explains how Mero simplifies Workday Adaptive Planning implementations.
https://ap1.hubs.ly/H01qSQP0

Considering a Workday Adaptive Planning implementation? Learn how Mero's phased, hands-on methodology delivers faster value.

Ask your AI agent how many active customers you have. Then ask finance.If you get two different numbers, the agent isn't...
08/10/2026

Ask your AI agent how many active customers you have. Then ask finance.

If you get two different numbers, the agent isn't broken. It's answering from your data exactly as it is.

Sales counts anyone who bought in the last 12 months. Finance counts anyone with an open account. The CRM still holds the duplicates nobody had time to clean up. A person knows which number to trust and which caveats to mention. An agent picks one and answers with confidence.

Three things decide whether an agent's answer holds up. An agreed definition for the terms your business runs on. A named owner for each dataset and its quality. Clear rules on what the agent is allowed to see.

You probably have some of this already, built for reporting. The work is extending it to cover AI, before an agent goes near your data.

Before your next AI pilot, try the active customers question. If you get two answers, that's where to start. We've set out what governance for AI needs to cover here ⬇️

https://ap1.hubs.ly/H01qyN00

Mero helps organisations build data governance with clear definitions, ownership and access rules, so they can trust their data and AI answers.

Databricks has published a detailed case for the lakehouse over the traditional data warehouse, backed by customer bench...
07/10/2026

Databricks has published a detailed case for the lakehouse over the traditional data warehouse, backed by customer benchmarks.

If you're weighing up a data platform decision, start with the section where they set out what the warehouse still does well. Predictable SQL performance with less tuning. Simpler administration when workloads are almost entirely dashboards. Mature high-concurrency BI serving.

Being upfront about that makes the rest of the argument easier to trust. For your organisation, the useful question is what your platform needs to serve over the next few years. If that list now includes AI agents, streaming data or unstructured documents alongside BI, the economics shift.

Their practical advice holds wherever you land. Add up the full cost of your warehouse, the separate ML platform, the streaming tools, the data lake and every copy moving between them. That's the number to compare, not the warehouse bill alone.

Read the full article 👉 https://ap1.hubs.ly/H01qw-D0

The warehou

Databricks runs on Google Cloud, AWS and Azure, and that choice matters. How well the platform performs depends as much ...
05/10/2026

Databricks runs on Google Cloud, AWS and Azure, and that choice matters. How well the platform performs depends as much on the cloud environment underneath as the platform itself.

Mero is a Databricks partner with delivery experience across all three. If you've already got Databricks and want to see what's possible for your environment, get in touch.

https://ap1.hubs.ly/H01mxZq0

Already have Databricks? See why implementation, not the platform, decides real value. Mero is a New Zealand Databricks implementation partner.

Healthcare finance teams close the month across facilities, departments and payers, usually against a tight reporting de...
29/09/2026

Healthcare finance teams close the month across facilities, departments and payers, usually against a tight reporting deadline. AI can take on some of that load. The harder question is which parts, and where a person still needs to review the work.

Our partner Trintech is running a 30-minute webinar on exactly that, covering:

- How multi-facility and multi-payer structures affect AI readiness
- Where AI fits in reconciliation and transaction matching
- Practical uses today, from suggested match rules to flagged variances

Tuesday 20 October | 4:00pm NZDT | Live Q&A with the Trintech team

Register here 👉 https://ap1.hubs.ly/H01ppkM0

Join our 30-min webinar on AI in the healthcare financial close. See practical uses, risks to weigh, and a live demo. Register now.

Six weeks after the first AI pilot works, someone always asks: who's actually allowed to use this, and what's it costing...
25/09/2026

Six weeks after the first AI pilot works, someone always asks: who's actually allowed to use this, and what's it costing?

That's exactly what Unity Catalog and the Unity AI Gateway are built for. One governed environment, one set of access controls, extended from data through to the AI agents built on top of it. Get it right early, and access is controlled by design. Bolt it on later, and it's a much harder job.

Read how governed AI actually works in practice ➡️ https://ap1.hubs.ly/H01mxY10

Already have Databricks? See why implementation, not the platform, decides real value. Mero is a New Zealand Databricks implementation partner.

Google Cloud just topped the field.Named a Leader in the latest Forrester Wave for Public Cloud Platforms, with the high...
22/09/2026

Google Cloud just topped the field.

Named a Leader in the latest Forrester Wave for Public Cloud Platforms, with the highest score of any provider in the current offering category. What stands out to us is where those top scores landed: database services, analytics services, and AI development services, the layer we spend most of our time in with clients building and modernising their data platforms on GCP.

Strong infrastructure still needs the right architecture on top of it. That's the part we help with.

Read Google's write-up: https://ap1.hubs.ly/H01nCHc0

Google was named a Leader in the latest Forrester Wave™: Public Cloud Platforms, Q3 2026 report, showing the value of codesigned AI infrastructure.

A strong Workday Adaptive Planning implementation should leave your team confident to run it day to day.That’s the appro...
20/09/2026

A strong Workday Adaptive Planning implementation should leave your team confident to run it day to day.

That’s the approach Mero brings to every engagement, building self-sufficiency from the start. If you want to see what that looks like in practice, take a look:

👉 https://ap1.hubs.ly/H01nwMY0

Considering a Workday Adaptive Planning implementation? Learn how Mero's phased, hands-on methodology delivers faster value.

"Which region grew fastest last quarter?" "Why did signups drop in August?"That's not a question for your analyst anymor...
16/09/2026

"Which region grew fastest last quarter?" "Why did signups drop in August?"

That's not a question for your analyst anymore. Databricks Genie lets anyone ask a question about the business in plain English and get a real answer, built from an actual query against your own governed data.

Over 1.5 million Genie Spaces were created across Databricks customers in 2026. See how it fits into a governed Databricks setup.

đź”—https://ap1.hubs.ly/H01mp_90

Already have Databricks? See why implementation, not the platform, decides real value. Mero is a New Zealand Databricks implementation partner.

Address

Level 1, 5 Willeston Street
Wellington
6011

Opening Hours

Monday 8:30am - 5pm
Tuesday 8:30am - 5pm
Wednesday 8:30am - 5pm
Thursday 8:30am - 5pm
Friday 8:30am - 5pm

Telephone

+6444994280

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