Congratulations on completing
the Data and AI Maturity Assessment!
You are at
Operational
Stage
What this means
You're at the beginning of your data and AI journey. Systems are disconnected, processes are manual, and data isn't driving decisions yet.
You’ve started building. Maybe you have dashboards or a data warehouse, but things are still fragmented and not standardized.
You’re doing many things right. You’ve got BI dashboards in place and some experience with AI or governance, but gaps still exist in integration, automation, or scale.
You have a mature stack, trusted dashboards, and advanced analytics. Now it’s about scale, performance, and keeping things maintainable.
You’re among the most advanced teams in your industry. AI is deeply embedded. You’re setting benchmarks, not following them.
Where you are
Level
Data infrastructure
Data modeling & quality
BI & dashboards
Predictive & prescriptive analytics
Governance
AI applications
Level 1
Level 2
Level 3
Level 4
Level 5
How you can advance to the next tier
Data infrastructure
Data Infrastructure
The company is likely experiencing a lot of pain and frustration with their current infrastructure score. They may be struggling with slow data processing, limited storage capacity, and difficulty accessing and analyzing their data.
Here’s what we recommend you do next:
- Implement data compression techniques to optimize storage capacity and improve data processing speed.
- Upgrade to a more powerful data infrastructure platform to handle larger volumes of data and improve data accessibility and analysis.
- Invest in data governance and data quality processes to ensure the accuracy and reliability of your data.
- Train and upskill your team on data management and analytics to maximize the potential of your data infrastructure.
Modeling & data quality
Modeling & Data Quality
Right now, your Seed startup has a maturity score of 6 for Modeling & Data Quality. This means that there are gaps and inconsistencies in your data modeling and quality that are hindering your ability to make data-driven decisions and trust the data you have.
Here’s what we recommend you do next:
- Focus on improving table-level modeling to ensure accurate and consistent data across all tables.
- Prioritize addressing metric consistency to ensure the same metrics are being used and measured consistently across all teams and departments.
- Make sure to regularly clean and maintain your data schema to ensure data hygiene and prevent any potential issues.
- Consider investing in data quality tools or hiring a dedicated data quality team member to help improve and maintain your data quality over time.
BI & dashboards
BI & Dashboards
Your BI & Dashboards maturity score is currently a 7, which suggests that there may be some issues with your current dashboard setup. This could include cluttered or disorganized dashboards, unclear or untrustworthy metrics, and outdated reports.
Here’s what we recommend you do next:
- Conduct a thorough cleanup of your dashboards, removing any unnecessary or unused elements.
- Ensure that all metrics and data are clearly labeled and easily understandable for users.
- Foster a culture of trust and transparency by regularly updating and verifying your data sources and reports.
- Regularly solicit feedback from users and make necessary improvements to your dashboards based on their input.
Predictive analytics
Predictive Analytics
Currently, your Seed startup has a maturity score of 8 for Predictive Analytics. This means that you have some ideas for machine learning use cases and may have even created some notebooks, but there has been no real impact on production yet. It's a great start, but there is still a lot of work to be done.
Here's what we recommend you do next:
- Identify a specific use case that aligns with your business goals and objectives.
- Collect and clean relevant data to use for training and testing your predictive model.
- Choose a user-friendly and low-cost tool to build and deploy your model, such as Google Cloud AutoML or Amazon SageMaker.
- Validate your model's performance and make any necessary adjustments before implementing it in production.
Governance
Governance
The current state of your governance is a bit chaotic. There seems to be messy access, no clear ownership, and data scattered all over the place.
Here’s what we recommend you do next:
- Implement strict access control measures to ensure only authorized personnel have access to sensitive data.
- Establish clear ownership by assigning responsibility for specific sets of data to individual team members.
- Improve visibility by creating a centralized system for tracking and managing all data.
AI applications
AI Applications
Their AI reality is currently at a maturity score of 16, indicating that there is a lot of buzz surrounding AI, but no deployed use cases or practical applications. It is possible that there may be a prototype in place, but it is not being utilized effectively by the company.
Here’s what we recommend you do next:
- Identify a specific business problem or task that can be solved or improved with AI technology.
- Conduct research and gather data to determine the most suitable AI solution for the identified problem.
- Implement a small-scale, simple AI application or prototype to test its effectiveness and gather feedback from employees.
- Based on feedback and results, continue to refine and improve the AI application until it is ready for full deployment within the company.
You’ve got clarity.
Now let’s make progress.
You’re probably duct-taping reports together, reacting to fires, and guessing your way through KPIs.
At this stage, velocity matters more than perfection. The challenge is building a usable foundation — without overengineering, overhiring, or overbuying.
How 5X helps:
We give you a plug-and-play data stack, ingestion, modeling, dashboards, and governance in one platform. Our experts build it with you, so you’re not stuck duct-taping metrics across tools that don’t talk to each other.
You’ve got pieces of the puzzle — a warehouse, maybe some dashboards — but it’s held together with best guesses and broken SQL. Every new request is a one-off build.
How 5X helps:
We help you consolidate the warehouse, model core business metrics, and introduce QA standards that don’t require new headcount. Your team gets answers they can trust, and you get out of the spreadsheet firefighting loop.
You’ve got dashboards, pipelines, models… but they’re not always trusted or actioned. Business teams want more, faster, and your data team’s burning out just trying to keep up.
How 5X helps:
We bring structure: tested governance frameworks, automated observability, and faster deployment paths for models and dashboards. You move from reactive support to proactive enablement without increasing your engineering footprint.
Your data team ships — but duplication, compute waste, and rogue dashboards are slowing things down. Your execs want smarter automation, but engineering cycles are stretched.
How 5X helps:
We help you clean it up by codifying logic, reducing compute spend, and building internal tools like smart alerts and AI-powered workflows. Your infra supports scale without spiraling.
You’re already running structured experiments, internal tools, and ML in prod. The question now is: how do you 10x your leverage without slowing down?
How 5X helps:
We help you co-build GenAI copilots, reusable ML modules, and internal accelerators tailored to your business DNA without duplicating work or slowing down compliance and governance.
Use this report as a strategic input
This report is designed for teams who want to move forward, not just score themselves. It’s built to complement your existing goals, and help anchor planning discussions with your leadership team. Use it as a clear, thoughtful guide to shape priorities across data infrastructure, analytics, and AI readiness.
Share your score on LinkedIn and we’ll include your org in our upcoming 2025 Industry Benchmark Report—a comparative view of how companies at your stage and scale are evolving their data & AI capabilities.
