What We Do

Whether you have existing on-premise infrastructure, or you are moving to the cloud for the first time, we can implement an analytics solution tailored to your needs.

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David Arenbo, CEO

We take complex problems and create a simple solution to deliver value quickly.

  • You have data sources scattered over multiple systems and departments.
  • Your users complain about the quality of data
  • Your users can’t access the data they need when they need it

Whether you have existing on-premise infrastructure, or you are moving to the cloud for the first time, we can implement our design framework tailored to your needs.

How does it work?

Data is captured, cleansed, integrated and structured for easy consumption.

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Capture

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Capture

We capture data from across your organization, in the cloud, third party sources or even IoT devices

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Curate

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Curate

Data is then cleansed in integrated and consolidated into a single, central repository.

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Consume

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Consume

All users can then consume the data to gain insights, leading to more informed decision making.

How do we do it?

Every organization has data with varied volumes and complexity, the biggest challenge faced is integrating the data to those who need to consume it. At BizOne we design, build, deploy and manage solutions based on modern design principles which is quick to implement and easily expanded to add new data sources and additional components.


Most organizations have diverse data sources spread across multiple data platforms, stored in different formats, captured in different time frames and in different volumes. We capture data from across your organization, in the cloud, third party sources or even IoT devices.

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Using Azure Data Factory, the data is ingested and stored in its original (raw) format, supporting all data types. Where necessary, this is then conformed into a standard format and kept in a Data Lake.

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The data is then cleansed to remove duplicates etc.

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We then integrate the data into a single central repository using Azure SQL Database or Azure SQL Data Warehouse

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For handling a large number of concurrent users and fast response times, the data can be cached in memory using Azure Analysis Services.

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All users can then consume the data using tools such as Microsoft Power BI for providing faster insights, leading to more informed decision making.

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