Data strategy and implementation consulting services

Fix the gaps between your data, tools, and business outcomes

AGER BI helps organisations make sense of disparate systems and unclear data strategies. We define what matters, build what's needed, and support delivery from day one.

Data Strategy and Implementation Consulting by Lee Ager, Founder and Director

Our satisfied customers

What we've helped our clients achieve

0M

In savings and new value unlocked

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Data projects delivered with lasting business impact

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Years of solving complex data challenges

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Users supported across Australia and New Zealand

Why our data strategy consulting services deliver long-term impact

Align data with business goals

Ensure every dataset, dashboard, and decision supports real goals and objectives tied to your broader business strategy.

Break down silos

Unify systems and teams with a single strategy that eliminates fragmentation and guesswork.

Improve decision-making

Move from assumptions to insight-led with structured, accessible data and clear roles and responsibilities across teams.

Strengthen governance & compliance

Protect your data, stay audit-ready, and meet evolving regulatory demands with clear policies and controls.

Scale with confidence

Lay the foundations for AI, automation, and advanced analytics by building a scalable data architecture.

Reduce waste & inefficiency

Stop duplicating tools, reports, and systems. A strategic approach improves operational efficiency and removes friction from your management process.

Discover Your Business Data Maturity

A short questionnaire to assess how well your business is using data to support decision-making, visibility, and growth. You'll receive a breakdown of your data maturity level and clear suggestions for what to do next.

The support and structure we bring to your strategy

Strategy design

We work with you to define a practical, strategic plan that's measurable, actionable, and aligned to your business.

Governance frameworks

Define clear policies around quality, privacy, security, and compliance to match how your organisation works.

Architecture planning

Design scalable, future-ready infrastructure across storage, integration, analytics, and reporting.

Tool and platform selection

Get unbiased advice on selecting the right tools based on your goals and stack.

Implementation support

We don't just hand over a document. We support full strategy execution across teams, processes, and platforms.

Change enablement and training

Help team members adopt new data practices through guided rollout, training, and embedded support.

Client Success Stories

Click on the logos below to browse our client case studies to see the impact of our BI solutions.

Armaguard Logo
Bay Building Group
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Tronox Logo
Victorian Department of Health Logo
Western Health Logo

 A simple, strategic process that puts you first

And here's how we bring your data strategy to life

1: Discover

We start with a free consultation to understand your goals, challenges, and the data environment you're working in. No pressure, no pitch — just a genuine conversation about where you're at and where you want to go.

2: Design

Once we understand the landscape, we build a tailored plan. This includes a clear strategy, priority roadmap, and practical recommendations to start solving real problems fast.

3: Deliver

We implement the solution in phases, working closely with your team to ensure every step adds value. You stay informed, in control, and supported as we deliver a BI system that's built to last.

Improved Decision-Making

Cost-effective

Collaboration

Real-Time Analysis

Data Governance

Scalability

Robust Security

Ease of Use

Our strategy and implementation approach

Number 1

Assess your current data landscape

  • Data audit and evaluation: Review your current data sources, storage, and infrastructure to understand what's working and where the gaps are.

  • Business requirements gathering: Engage with stakeholders to define goals, challenges, and priorities that the strategy needs to address.

  • Data maturity assessment: Evaluate how advanced your current data capabilities are and identify opportunities for growth.

Number 2

Define business objectives and success metrics

  • Align data with business goals: Map your data initiatives to real business outcomes like efficiency, customer insight, or innovation.

  • Define KPIs: Establish measurable success metrics to track the impact and performance of your strategy.

Number 3

Design the data strategy

  • Data governance framework: Define policies around data quality, privacy, security, and compliance.

  • Data architecture design: Plan infrastructure that supports integration, data analytics, and reporting (cloud, hybrid, or on-prem).

  • Data integration: Recommend how to unify disconnected data sources into a single, accessible environment.

Number 4

Select and implement the right technologies

  • Technology evaluation: Advise on tools that best fit your needs, from databases and cloud platforms to BI and AI tools.

  • System implementation: Help deploy and embed these tools into your existing workflows with minimal disruption.

Number 5

Build analytics and insight capability

  • Advanced analytics and reporting: Support implementation of predictive models, machine learning, or AI where relevant.

  • Data visualisation: Create dashboards and reporting structures that surface insights clearly and quickly.

  • Promote a data-driven culture: Equip stakeholders with the tools and mindset to make informed, data-backed decisions.

Number 6

Manage implementation and change

  • Project execution: Oversee delivery to keep things on time, on budget, and aligned with your strategy.

  • Staff training and enablement: Provide training to help teams adopt and use new systems confidently.

  • Change management: Guide teams through the transition and help embed new practices into daily operations.

Number 7

Provide ongoing support and optimisation

  • Monitoring and maintenance: Ensure systems continue to perform, scale, and stay secure post-launch.

  • Continuous improvement: Refine and evolve the strategy as your business grows or priorities shift..

  • Data quality assurance: Set up controls to maintain consistency and trust in your data over time.

Number 8

Plan for future growth and innovation

  • Scalable infrastructure: Make sure your strategy can support increased data volumes, complexity, and demand.

  • Stay future-ready: Advise on emerging trends like AI, IoT, and automation to keep your data ecosystem ahead of the curve and maintain your competitive advantage.

FAQ

It's a structured approach to managing data across your business. This includes defining how data is collected, stored, governed, and used, and then supporting the implementation so that strategy becomes reality. The goal is to make your data clear, consistent, and actionable.

If your reporting is slow, your data lives in too many places, or teams don't trust the numbers, it's time to look at your strategy. In our first consultation, we'll help you assess where things stand and where you can improve.

Strategy defines the plan. Implementation puts it into action. We help with both — setting the vision, then working with your team to bring it to life through tooling, training, and support.

Unlock the full potential of your data

Let's talk about how we can help you get better visibility, better reporting, and better results from your data.