Data & AI Innovation Lab

A Do Tank, Not A Think Tank

The Cloudaeon Innovation Lab provides the team, tools and expertise to de-risk your data investment.

The Innovation Lab team will work with you to draft clear problem statements, build the data value use case, rapidly prototype a solution that can be tested in a controlled environment and deliver the before/after business performance metrics you need for proof of value before scaling up.

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Define The Outcome

With clear problem statements and knowing what a great outcome looks like, we have the inputs for a solution.

Prototype The Solution

Quickly design, develop and deploy and MVP (Minimum Viable Product) with the right stakeholders and data.

Start The Experiment

For 4 weeks, by operating the MVP, we can gather the feedback and evidence for the Data Value Use Case.

Go / No-Go Decision

With evidence from the Data Value Use Case, you'll have the inputs to make an effective investment decision.

Data & AI have the unrealised potential to transform how we work.

There is a chasm between the Data & AI technology coming to market and the practical value it creates for enterprise users. That chasm is getting wider. The Innovation Lab exists to prove the value of Data & AI in the real world.

The world's leading consultancies describe innovation as a "systematic practice of developing breakthrough products", "strategies to reinvent the enterprise" or "alchemy by the few to cookery of the many." Yes, we were just as puzzled!

Between vendors hyping the technology and consultancies offering buzzword keynotes, the rest of us are falling into the chasm unable to answer the most important question, "So what? How does this actually deliver value to my team?"

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Clearly Defined Problems

Clear problem statements help business and technical stakeholders understand what it is that they need to solve.

Risk-Free Experimentation

You need a "safe space" to prove the value of ideas that doesn't risk data loss or disruption to the business.

Access To Expertise

Our Data & AI engineers have the technical skills and enterprise context to quickly design and test solutions.

Demonstrable Value

The Data Value Use Case provides the before and after performance metrics to justify a go/no go decision.

From Excel Hell to Modern Data Stack in 4 Weeks?

Driving Innovation - Recent Case Studies

A global survey by Dimensional Research highlighted the widespread challenges of integrating ERP data. Remarkably, 99 percent of respondents admitted to facing significant obstacles in developing reliable and efficient pipelines of this data with just 23% stating they have access to real-time insights from their data.

82% of data is out of date when it reaches a dashboard
73% of organizations find it hard get data out of their systems
85% of companies have made wrong decisions with of bad data
Only 23% of businesses have real time access to data

To address this innovation challenge, we are offering a FREE 4-week programme where our team will integrate any ERP data source to a chosen destination and prepare your Data Value Use Case. Sign up today!

Learn About This Programme

Outcomes of the Data Innovation Challenge

Streamlined Data Integration

Seamlessly transfer data from MSD, Marathon, Coupa, Concur, SAP, Salesforce, Amex, HR, CRM and Timesheet into Azure Data Lake Storage (ADLS) for centralized storage and easy accessibility

Efficient Transformation Process

Transform raw data into meaningful insights, ensuring data is cleansed, standardized, and enriched for accurate analysis.

Automated Data Loading

Leverage automated data loading capabilities to ensure timely and accurate data ingestion into ELT pipeline, reducing manual effort and minimizing errors.

Near Real-time Data Processing

Enable near real-time data processing and analysis with Databricks, empowering decision-makers with up-to-date insights for agile decision-making.

Data Quality Assurance

Implement robust data quality checks and validations throughout the data pipeline to maintain data integrity and reliability.