At Breadcrumb Digital, we’re passionate about helping organisations maximise the value of their data assets. Our data consultants have extensive experience delivering a broad range of engagements from strategy to architecture and platform delivery.
While we operate across technology platforms, we have deep Microsoft specialist skills. Our certified Microsoft consultants can help our clients navigate the Azure data landscape and establish a secure, scalable foundation based on best practices.
Our data engineers are certified in the latest Microsoft data services and have a proven record of delivering some of the largest and most complex analytical platforms in Australia and beyond. Our team brings a unique combination of deep technical skills and broad business knowledge, which has helped us successfully deliver value through data to over 50 organisations.
Our data and analytics consultants are experts at delivering end-to-end data solutions and – with advancements in the latest low-code and no-code data engineering services – these solutions can be delivered in days, rather than months.
While the diagram below presents an example Microsoft cloud-based data architecture, we work with many variants, including on-premise, hybrid, and Microsoft Fabric architectures.
We have extensive experience collecting and integrating data from a wide variety of sources (Teams, SharePoint, APIs, ERPs, telemetry data, point-of-sale systems, websites, and many others) in a variety of formats (flat files, Excel, JSON, images, video, etc). Depending on the use case, the data can be streamed in real-time, or batch loaded.
We use automated methods, such as pipelines, to ingest and curate your data. With extensive experience in tools such as Synapse Analytics, Microsoft Fabric, Azure Data Factory (ADF), Power Automate, and Logic Apps, we can automate the collection of data, as well as the cleansing and curation of the data into more usable formats.
We work with our clients to ensure data storage design matches data consumption needs and aligns to evolving industry best practices. For example, data can be stored in a relational database such as SQL server, a data lake, a data warehouse, or a data lakehouse variant. Data is typically stored in its raw form in a ‘landing’ zone of a data lake and then transformed via ETL or ELT processing into ‘curated’ zones.
Our data engineers have a broad range of data modelling experience, from transactional schemas for operational systems, through to data warehouse models, for more sophisticated trend reporting.
Many organisations struggle to maximise the potential of their data, instead spending their time in an endless data cleansing and preparation loop.
While modern business intelligence tools can extract powerful insights from data, organisations struggle to adopt and maintain the tools.
Uplift your visualisation capabilities and deliver elegant, intuitive reports at speed
Predict events, prescribe actions and augment user experiences with intelligent services
Develop a data strategy and a data governance model to proactively manage your critical data assets
