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Modern data platform

Get the most from your data. Enjoy results and value right from the start.

Unlock your data's potential with Datacom's modern data platforms.

The data landscape is constantly changing. While the amount of information can seem overwhelming, a modern data platform can unlock your data's potential by turning it into actionable insights and unlock your data's potential by turning it into actionable insights and artificial intelligence (AI).

Traditional data warehouses alone are no longer enough for modern data management. Forward-thinking organisations need scalable and flexible modern data platforms that can store, process, analyse, interpret, and act upon all types of data, including:

  • Real-time data
  • IoT (Internet of Things) and machine data
  • Images and video
  • Geo-spatial data
  • Structured and unstructured data
  • Big data.
A line graph with 4 data points
Data-driven insights
Single source of truth
Scalability and flexibility
Objective advice
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Data-driven insights

Through your insights you'll be confident when launching new products and services. You'll be cutting costs while setting a path for the future.

A line graph with 4 data points
Data-driven insights
Light Blue tick icon

Data-driven insights

Through your insights you'll be confident when launching new products and services. You'll be cutting costs while setting a path for the future.

Single source of truth

Single source of truth

Have one view of data that everyone in a company agrees is the real, trusted number.

Cloud scalability and flexibility

Cloud scalability and flexibility

The cloud is a customisable and secure solution for businesses. It's a great approach to resource management and it has its own data backup and recovery system.

Objective advice

Objective advice

We'll guide you to the right data platform for your organisation and your greatest challenges.

Our expertise includes

Our experts have got you covered.

At Datacom, we’re experts in implementing modern data platforms to help you get the most from your data. Our consultants will guide you through the end-to-end process over the lifecycle of your platform.

We’re always up to date with the latest industry trends and best-practice. Our agile delivery methods ensure you'll see results and value right from the start.  

Frequently asked questions

What’s the difference between a data lake and a data warehouse?

Data lakes keep and support all data types, including unstructured data such as videos. A data warehouse focuses on structured data for a specific user base. It is generally geared towards analytics for business decisions.

Should we build our data platform on-premise or in the cloud?

The cloud offers a range of benefits, but every business has different priorities. We offer the right solution for your business and provide a range of cloud-based solutions, on-premise, or a mixture of both.

How can my organisation get rid of data silos?

A data silo is a set of isolated data that is difficult to process for decision making. It's important to have a clear data strategy to:

  • Unify data management systems
  • Change the company culture towards a shared data approach
  • Identify data integration capabilities
  • Prevent the accumulation of data silos
  • Set clear guidance and data governance.

How important is data quality?

There are several benefits associated with data quality including:

  • Data accuracy
  • Completeness of data
  • Data relevancy
  • Data validity
  • Timeliness of data
  • Data consistency.

How long does it take to set up a modern data platform?

Data preparation accounts for around 80 per cent of the work. Building a modern data platform is a long-term initiative. Requirements and the ecosystem will be a moving target. It's important to have a roadmap that reflects a direction and defines milestones for small wins along the way. It’s a good practice to review the roadmap often. It will help the initiative stay on top of targets, reset expectations, and mitigate risks.

What is a data architecture?

A data architecture defines the processes to capture, transform, and deliver usable data to users.

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