From
Point SolutionsTo
Enterprise ScaleTransform your Data Platform into a governed, value-producing enterprise asset , with the partner trusted by over 300 organisations globally.
You made the right investment , So why isn't it
working?
You selected a modern platform, secured executive buy-in, assembled a talented team and started the journey. But most organisations tell us the same story.
of companies scored themselves above 80% for achieving real analytics scale
Most clients have built point solutions that work for one team but break when scaled to the entire enterprise.
"Our platform still hasn't replaced legacy systems or achieved enterprise-wide adoption."
"Adoption is slower than anticipated."
"Return on investment isn't materialising as we expected."
"We're stuck in the pilot or proof of concept phase."
"Costs are escalating beyond our forecast."
The Three Reasons Data Platforms Fail to Scale
Through hundreds of implementations, we've identified three core failure patterns that consistently hold organisations back.
- Platforms purchased without defining business outcomes first
- "Build it and they will come" mentality
- Treated as an IT project, not business transformation
- No clear return on investment or business sponsor
- Users didn't understand value or how to access it
- Became expensive shelfware
- Data teams focused on pipes and storage, not business value
- No domain expertise or business context included
- Business teams saw data as IT's problem
- Data engineers lacked business context
- No ownership of data quality or definitions
- Zero business accountability for outcomes
- 18-month enterprise-wide transformation programmes
- No business value delivered until end state achieved
- Scope expanded, timelines slipped, budgets overran
- Business lost patience waiting for value
- Market changed and requirements evolved
- Political capital exhausted before delivery
What Enterprise Grade Platforms Actually Look Like
Companies achieving real data scale made a deliberate decision to invest in building an enterprise-grade platform , not just a collection of point solutions.
We Are Different
Every year, Decision Inc. helps over 300 clients develop and maintain their data platforms. We don't just make your platform work , we turn it into a governed, value-producing enterprise asset.
Proven Across Industries
- Delivered modern platforms across financial services, retail, telecoms, public sector and manufacturing
- Specialist partner in Fabric, Databricks, SAP BDC and Snowflake
- Patterns refined from dozens of real implementations
A Clear, Repeatable Way
- Start with business-led use cases and quantified value
- Make data a strategic asset with business ownership
- Execute in eight-week value sprints for quick wins
Governance Built In
- Enterprise-grade governance frameworks ready to plug in
- Programmes that meet you where you are
- Business objectives at the centre of every decision
Five Specialised Services For Your Challenges
Targeted services designed to address the specific challenges you're facing right now , no generic playbooks.
A comprehensive evaluation of your current state and implementation with specific recommendations for improvement.
Strategic roadmap to move from project-level solutions to an enterprise platform, with programme support to engage business on use case development and change management.
Optimise cloud platform costs and fully utilise your investment through proven FinOps practices specific to data platforms.
Deploy Unity Catalog (Databricks) or Microsoft Purview governance frameworks in weeks using our tested templates and use cases.
Leverage Databricks and Microsoft Fabric Accelerators to implement an Enterprise-Ready Lakehouse platform, fully configured at scale.
Results Across Industries
Our clients achieve measurable outcomes because we focus on business value, not just technical implementation.
No single governed environment for data. Manual reconciliation. Rapid expansion demanding a scalable platform.
Modern Lakehouse on Microsoft Fabric with enterprise governance, AI/ML enablement, and self-service training for 500+ users.
Legacy fragmented systems limiting scalability. Siloed data across business units. Manual, error-prone processes.
Lakehouse with Medallion Architecture on Databricks. Automated pipelines, AI enablement, data quality framework.
Increasing cyber-security risk. Lack of comprehensive data governance. Need to protect supporter privacy and minimise third-party risk.
Data governance programme with working group, training, enhanced Salesforce controls, and organisation-wide framework.
"This solution has provided a solid foundation, transforming how we work with data and positioning us as an insight-driven organisation."
, Gert Van der Walt, Head of Data & Analytics, Omnia Holdings
Suggested Next Steps
Based on our experience with hundreds of similar engagements, here's what we recommend to support your analytics programme.
Develop a Baseline and Target State Architecture
Create a platform strategy to guide future investments and ensure technical decisions align with business goals.
Align on FinOps Approach and Plan
Ensure value exceeds cost with tight controls on running and consumption costs. Most platforms can reduce costs by 20–40% without impacting functionality.
Validate Design and Architecture
Confirm your approach to architecture is scalable and cost-efficient before expanding implementation.
Embed Data Governance into the Platform
Deploy production-ready governance frameworks in weeks, not months, using our proven templates.
Implement Production Operations
Establish CI/CD pipelines, DevOps, DataOps practices, and continuous audit capabilities to ensure reliability at scale.
Ready to Achieve Enterprise Scale?
Let's discuss where you are and how we can help. Book a complimentary diagnostic session with our specialists , no commitment required.