Fuel Your Business Growth: Convert Raw Data into Actionable Insights.

Data engineering is the backbone of extracting value from data. By transforming raw data into structured formats, businesses gain insights, optimize processes, and enhance data accessibility. It empowers organizations to make data-driven decisions, streamline workflows, and stay competitive in today’s data-centric landscape.

How we are different to other data consultancies

Our Commitment

Learning your business and problem takes time, however we will leverage these time for future projects without the extra expense.

Our Transparency

We will uncover the scope of work and always show a clear data roadmap with an upfront price.

Our Expertise

Unique challenges requires boutique solutions. We have end-to-end experts to guide your business through different steps with clear expectations.

Our Value

We want to learn about your business and the problems you are facing. We may not have all the solutions but we can help you understand it better and find a solution together.

Data Engineering Consulting

Businesses are accumulating data at a rapid rate and a robust way is to use the cloud whether it is GCP, AWS or Azure. We can find the most suitable solution with guidance on optimising storage and minimising cost to build easily consumable data structures.

Data Migration Data Optimization Data Automation Data Accessibility

Data migration to cloud

Cloud migration allows businesses to scale resources based on demand, leading to cost savings and efficient resource utilization. We can provide the pros and cons of different cloud services and tailor the usage from your data ingestion to the desired output.

Data optimisation

There are often unnecessary and unused data in databases that no one even knows about. We discover what is useful and apply logical reasoning in your data pipeline to create meaningful data that can be used for analysis and visualisation.

Data automation and monitoring

At Data Bees, we create seamless automations for your data pipeline to ensure a balance of updated data and being cost-effective. We apply logic to the data flow to monitor unusual activities and set up alerts for a fast response.

Data Accessibility

A well-constructed data curation layer optimizes storage costs, ensuring that only relevant subsets are retained. It also enhances data relevance, aligning historical trends with current business context. Lastly, it simplifies complexity during migrations or schema changes. By harmonizing diverse data sources, data curation enables accurate analyses and informed decision-making.

Data Engineering