The analytical capability of a data science team without the headcount.

Building an in-house data science function is expensive, slow, and high-risk. Data Science as a Service gives you access to the full capability, predictive models, advanced analytics, experimentation, on a flexible basis that scales with your needs.

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DOES THIS SOUND FAMILIAR?

Most data problems

start the same way.

Capability gap

Can’t justify a full data science hire

“We need predictive analytics and modelling capability but the use cases don’t justify a full-time data scientist hire.”

SPEED

Hiring is too slow

“We’re 6 months into trying to hire a data scientist and haven’t found the right person. The projects are blocked.”

TRUST

Models that don’t get used

“We built a model internally but no one trusts it. The assumptions aren’t documented and the business won’t adopt it.”

A note on data science and AI

Data science is what makes AI actually work.

Most AI projects fail not because the AI is wrong, but because the data underneath it isn’t ready. Predictive models, clean features, and reliable pipelines aren’t the boring prerequisite to AI. They are the AI. When we run a DSaaS engagement, we’re building the foundations that make any AI investment defensible.

What DSaaS delivers on its own

Predictive models that run in production — not notebooks
Customer segmentation that drives real commercial decisions
Experimentation frameworks that replace gut feel with evidence

What it unlocks for AI

Clean, structured, feature-rich data ready for AI to work with
Baseline models AI can augment rather than start from scratch
Governance and documentation regulators and leadership will accept

Our methodology

Our methodology integrates the best of data science and business strategy to deliver comprehensive solutions. It’s designed to be:

  • Agile: Quickly adapt to new data, insights, and business requirements.
  • Transparent: Ensure that the processes and results are understandable and trustworthy.
  • Collaborative: Work closely with stakeholders to align with the organization’s vision and goals.

Our approach is rooted in a balance between cutting-edge technology and practical business acumen, ensuring that our data science solutions integrate seamlessly with your strategic objectives.

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What we offer

Big Data Analytics

Harness the full potential of big data with our analytics services, designed to handle complex, voluminous datasets with ease, providing clarity and strategic direction.

Data-Driven Insights

We delve deep into your data to uncover hidden patterns and trends, transforming these insights into a clear roadmap for business success.

Actionable AI

Our AI solutions go beyond the theoretical, providing concrete, actionable steps that can be implemented for immediate benefit and continuous growth.

Predictive Modelling

Anticipate market trends, customer behaviour, and potential risks with our predictive modelling services, empowering you to make proactive decisions.

Driving Business Success

Our strategy centres on enhancing performance metrics, refining KPIs, and delivering proven results. We ensure every insight translates into actionable strategies for superior financial outcomes.

Quality Assurance

Rigorous data validation and model testing ensure that the information driving your decisions is accurate and reliable.

 

Ensuring actionable and valuable derivatives

Our Data Science is not just about providing data-related services; it’s about ensuring that every piece of analysis and every model output translates into tangible value for your business. We commit to:

Actionable Insights

Data is only as valuable as the decisions it enables. We focus on providing insights that are directly actionable, influencing key business processes and outcomes.

Business Value

Our services are geared towards not just solving data problems but also enhancing business value, driving growth, and improving customer satisfaction.

Continuous Improvement

Leveraging iterative feedback loops, we refine and optimize models to keep pace with your evolving business landscape and objectives.

Commitment to actionable and strategic outcomes

Our Data Science as a Service is a commitment—a commitment to turning your data into one of your greatest strategic assets. With actionable AI, predictive modelling, and continuous learning from big data, we provide insights that lead to real, strategic outcomes.

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Success Story

HEMOdata have been instrumental in supporting our journey to define our data technology stack and strategy. We now have a lot more trust in our data, we have a well-structured tech stack that is used across business functions, and we have clear processes and procedures in place.

HEMOdata has supported Intigral with our NDMO compliance plan, customer data technology stack and our processes and procedures documentation. HEMOdata have been a pivotal extension of our team and will continue to support our journey.

Bill Sharp, VP Technology, Intigral