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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:
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.
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.
Have one view of data that everyone in a company agrees is the real, trusted number.
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.
We'll guide you to the right data platform for your organisation and your greatest challenges.
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.
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.
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.
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:
There are several benefits associated with data quality including:
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.
A data architecture defines the processes to capture, transform, and deliver usable data to users.
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