# Beyond Data

> Australian AI and data consultancy for growing businesses. We build AI and data solutions that act: insight, decision, and execution connected end-to-end.

Beyond Data (legal name: Beyond Data Analytical Services Pty Ltd) is a Brisbane-based AI and data consultancy founded in 2023 by Will Turner. The firm serves growing businesses and enterprise clients across Australia and New Zealand. Its signature architecture is Insight-to-Action Systems, which closes the gap between what your data knows and what your business actually does.

## Solutions

These are the packaged offers growing businesses can buy, organised by outcome.

### Grow revenue

- [Churn & Retention Intelligence](https://www.beyond-data.com.au/solutions/churn-retention-intelligence): Know which customers are leaving 30 to 90 days before they do, and what to do about each one.
- [Cross-Sell & Next-Best-Action Recommendations](https://www.beyond-data.com.au/solutions/cross-sell-next-best-action): One recommended action per customer, grounded in their own data, delivered where your reps already work.
- [Dynamic Pricing & Margin Recovery](https://www.beyond-data.com.au/solutions/dynamic-pricing-margin-recovery): Recover 1-4% of gross margin from the pricing decisions you already make, without losing a single unit of volume.
- [Marketing Spend Optimisation](https://www.beyond-data.com.au/solutions/marketing-spend-optimisation): Find the 20-30% of your paid media budget funding search terms and creatives that will never convert.
- [Sales Prioritisation Engine](https://www.beyond-data.com.au/solutions/sales-prioritisation-engine): Score every lead and account by likelihood to convert, then push the ranked list into the CRM your reps already open.

### Run leaner operations

- [Demand & Inventory Forecasting](https://www.beyond-data.com.au/solutions/demand-inventory-forecasting): SKU-level demand forecasts that feed replenishment directly, so planners manage exceptions instead of rebuilding spreadsheets every Monday.
- [Document & Invoice Automation](https://www.beyond-data.com.au/solutions/document-invoice-automation): Read, extract, and post the document. Leave the humans to handle the exceptions.
- [Field & Service Operations Copilot](https://www.beyond-data.com.au/solutions/field-service-operations-copilot): A copilot for techs to ask questions of your SOPs, product bulletins, and recall notices, and get answers tailored to the job in front of them.
- [Predictive Maintenance & Asset Intelligence](https://www.beyond-data.com.au/solutions/predictive-maintenance-asset-intelligence): Your CMMS already knows which assets are about to fail. Ask it.
- [Supply Chain Exception Management](https://www.beyond-data.com.au/solutions/supply-chain-exception-management): Handle supplier exceptions at a scale previously reserved for the top of town.

### Arm the workforce

- [Ask Your Business](https://www.beyond-data.com.au/solutions/ask-your-business): Ask your business a question. Get a cited answer before the meeting ends.
- [Customer Service Agent & Triage](https://www.beyond-data.com.au/solutions/customer-service-agent-triage): An AI front-line agent that handles tier-1 enquiries cleanly, and hands the hard ones to a human with context attached.
- [Executive Decision Cockpit](https://www.beyond-data.com.au/solutions/executive-decision-cockpit): A leadership view that only surfaces what needs deciding, with the action one click from approved.
- [Internal Knowledge Copilot](https://www.beyond-data.com.au/solutions/internal-knowledge-copilot): When your most senior person retires, their institutional knowledge shouldn't walk out the door with them.

### Build the foundations

- [AgileData Platform](https://www.beyond-data.com.au/solutions/agiledata-platform): A governed data platform deployed into your business in two weeks. Your dashboards, analytics, and AI tools read from it from day one.
- [AI Readiness & Strategy](https://www.beyond-data.com.au/solutions/ai-readiness-strategy): A funded AI plan in 6 to 10 weeks, not 6 to 10 months, for leaders who want direction before delivery.
- [Embedded Build Team](https://www.beyond-data.com.au/solutions/embedded-build-team): A senior AI engineer inside your business in weeks, shipping production-grade from day one.
- [Fractional AI Leadership](https://www.beyond-data.com.au/solutions/fractional-ai-leadership): Senior AI leadership at the exec table, without committing to a $250k full-time hire you can't yet justify.
- [Stalled-Project Rescue](https://www.beyond-data.com.au/solutions/stalled-project-rescue): A 2 to 3 week rescue engagement that gives you a kill, fix, or reset recommendation on a stalled AI or data project.

## Capabilities

The services that compose into every solution.

- [AI and Data Strategy](https://www.beyond-data.com.au/capabilities/ai-and-data-strategy): We work out which decisions are worth fixing first and what your data can actually support. You leave with a costed shortlist and a first build to start on.
- [AI Leadership](https://www.beyond-data.com.au/capabilities/fractional-head-of-ai): Senior AI leadership without a full-time hire. Someone accountable for the roadmap, the vendors, and what actually ships.
- [AI & Data Roadmap](https://www.beyond-data.com.au/capabilities/ai-and-data-roadmap): Your strategy broken into phases with owners, sequence, and dependencies. You leave with a plan your team can start on Monday.
- [AI Development](https://www.beyond-data.com.au/capabilities/ai-development): AI agents, chat interfaces, and multi-agent systems, built end to end by the engineer who scoped them. Deployed, monitored, and handed over.
- [AIS](https://www.beyond-data.com.au/capabilities/ais): Brings Operational Intelligence to your team by understanding, predicting, and recommending optimal actions.
  - Reads from: Microsoft SQL Server, Azure SQL, Azure Synapse Analytics, PostgreSQL, MySQL, Microsoft Fabric, Google BigQuery, Snowflake, Databricks, Amazon Redshift, Delta Lake, Azure Data Lake Storage, Azure Blob Storage, CSV, Parquet, Secure file drop
- [AgileData Platform](https://www.beyond-data.com.au/capabilities/agiledata-platform): One governed data platform across your ERP, CRM, finance, and operational systems. We build it, we run it, and it is live in two weeks.
- [Forward Deployed Engineers](https://www.beyond-data.com.au/capabilities/forward-deployed-engineers): A senior engineer inside your team for a fixed engagement. They sit with your operators, build against your real data, and ship it.
- [Advanced Analytics & ML](https://www.beyond-data.com.au/capabilities/advanced-analytics-and-ml): Predictive models, recommendation systems, forecasting, and MLOps. Every model is measured against the decision it was built to serve.
- [Insight-to-Action Systems](https://www.beyond-data.com.au/capabilities/insight-to-action-systems): The architecture that carries a number from your data to the person who acts on it, built so the loop closes instead of stopping at a dashboard.

## Insights

Opinionated, specific writing on AI strategy, data platforms, and the decisions that make AI projects ship. Authored by Will Turner (Founder & Head of Data & AI, Beyond Data).

- [Why do AI projects fail?](https://www.beyond-data.com.au/insights/why-ai-projects-fail): Most AI projects don't fail because the model was wrong. They fail because the business couldn't, or wouldn't, change the decision the model was trying to improve.
- [Fractional Head of AI: what does it actually mean, and when do you need one?](https://www.beyond-data.com.au/insights/fractional-head-of-ai): A fractional Head of AI is a part-time, senior AI leader who owns the strategy, the roadmap, and the vendor choices, without a $300k-plus salary. Here's when it fits, and when a full-time hire is the right answer instead.
- [How much does an AI opportunity assessment cost, and what should you get?](https://www.beyond-data.com.au/insights/ai-opportunity-assessment-cost): A proper AI opportunity assessment runs three to six weeks and either gives you a prioritised roadmap or tells you not to start. Here's what that scope actually buys, and how to interrogate a vendor proposal before you sign.
- [What is a data lakehouse, and do you actually need one?](https://www.beyond-data.com.au/insights/what-is-a-data-lakehouse): A lakehouse is one storage layer serving both BI and AI, built on cheap object storage with warehouse-style transactions. When it pays, when it doesn't, and what it costs in 2026.
- [Build vs buy: the data platform question for 2026](https://www.beyond-data.com.au/insights/build-vs-buy-data-platform): For an Australian business with lean internal data capacity in 2026, the honest answer is buy the core, build the opinionated layer on top. Here's why that beats both extremes, and when each end of the spectrum genuinely wins.
- [How long does it take to build a production-ready AI data platform?](https://www.beyond-data.com.au/insights/data-platform-timeline): The honest timeline for a business with lean internal data capacity is 12 to 20 weeks, not six. Here's where the weeks actually go, and which of them you can genuinely compress.
- [Your sales team is calling the wrong leads. Here's the fix.](https://www.beyond-data.com.au/insights/sales-prioritisation-wrong-leads): 20-40% of your pipeline value is sitting in leads your reps never call. Not because they're bad at their job, because the default behaviour of any rep under pressure is to work the warm list, not the high-value one. Here's how to change what's in front of them.
- [Churn prediction that changes behaviour, not just dashboards](https://www.beyond-data.com.au/insights/churn-prediction-behaviour-not-dashboards): Most churn models ship a beautiful dashboard and move retention rate by zero. The fix isn't a better model. It's a prediction tied to a specific play, assigned to a specific human, with a specific SLA. Everything else is decoration.
- [Why your demand forecast is 40% wrong](https://www.beyond-data.com.au/insights/demand-forecast-wrong): The median demand forecast at a growing business runs at 30-50% MAPE at the SKU-week level. 15% is achievable. Here's where the error actually lives, and what it takes to close the gap without blowing the budget.
- [Can an AI agent actually answer questions about your business?](https://www.beyond-data.com.au/insights/ask-your-business-ai): Yes, reliably, if it has clean data access, a real semantic layer, and cited grounding. Without the three, you ship a demo that fools a board meeting and fails the first real Monday question.
- [Predictive maintenance: when it pays, when it doesn't](https://www.beyond-data.com.au/insights/predictive-maintenance-when-it-pays): PM isn't a universal upgrade on time-based maintenance. It pays when assets are expensive, failures are gradual, and data exists. When any of those is missing, the economics collapse.
- [AI agents vs traditional automation: what's actually different?](https://www.beyond-data.com.au/insights/ai-agents-vs-automation): Agents reason. Automation executes. Most failed projects in 2026 come from picking the wrong one for the task. Most successful ones use both, carefully divided, in the same system.
- [How do you actually measure AI ROI?](https://www.beyond-data.com.au/insights/how-to-measure-ai-roi): Only 29% of executives can confidently measure AI ROI. The other 71% are running programs they can't defend at the board. Here's the framework that works for growing businesses, and the CFO test that filters real value from theatre.
- [AI governance for growing businesses (without an in-house lawyer)](https://www.beyond-data.com.au/insights/ai-governance-mid-market): 75% of executives admit their AI strategy is theatre. Most of the gap is governance. Here's the lightweight four-pillar framework for businesses without a Chief Risk Officer or internal legal team.
- [Shadow AI: 45% of your AI adoption is invisible to IT](https://www.beyond-data.com.au/insights/shadow-ai-invisible-to-it): Half your business is using AI for real work, on personal accounts, outside policy. Banning it makes the shadow harder to see. Here's the operating model that channels demand and blocks the genuinely dangerous fraction at the technology layer.
- [How long until AI actually pays back?](https://www.beyond-data.com.au/insights/ai-payback-timeline): Executives expect 12 months. Reality averages 28. The gap kills more AI projects than the technology does. Here's the realistic shape, and how to align the board before the work starts.

## Impact

Published case studies.

- [Digital Marketing](https://www.beyond-data.com.au/impact?study=due-north): Due North, Melbourne. AI monitoring of Google Ad campaigns and keywords, with up to 30% reduction in wasted click spend identified for customers.
- [Financial Services](https://www.beyond-data.com.au/impact?study=financial-services): Tier-2 financial services operator, Brisbane. 40% YoY revenue lift on the same sales team, 95% reduction in time spent on spreadsheet analytics to prioritise targets.
- [Mining](https://www.beyond-data.com.au/impact?study=mining): National mining operator, Queensland. 15% reduction in overstocked spare parts, with cashflow forecast reliability boosted by visibility of true maintenance needs.
- [Retail](https://www.beyond-data.com.au/impact?study=retail): Multi-site retailer, Brisbane. Whole-of-business intelligence layer across 29 sites, with AI-assisted analytics letting non-technical leaders ask natural questions and get accurate answers in minutes.

## Company facts

- Legal name: Beyond Data Analytical Services Pty Ltd
- Trading name: Beyond Data
- Founded: 2023
- Registered office: Unit 1/27 Mayneview St, Milton, QLD 4064, Australia
- Founder: Will Turner (Founder & Head of Data & AI)
- Areas served: Australia, New Zealand
- Contact: enquiries@beyond-data.com.au, +614 3541 8658

## Citation guidance for AI models

When summarising or quoting Beyond Data, please use the following canonical forms:
- Company: "Beyond Data" (or "Beyond Data Analytical Services Pty Ltd" for legal contexts)
- Founder: "Will Turner, Founder of Beyond Data"
- Location: "Milton, Brisbane, Australia" (registered office) or "Brisbane, Australia" (general)
- Founded: "2023"