Timely, data-driven decision-making can make the difference between business success and failure. Real-time business intelligence allows companies to access and analyse data as soon as it is generated, providing the most current information for informed decisions.
While it is obvious that batch-based data infrastructure cannot deliver real-time, the complexity of the required stream integration technology can be intimidating.
But there is an easy way !
The easy way to upgrade your BI to real-time
Select the right business use cases
Identify which use cases would profit most from real-time BI. Focus on them and ensure that real-time BI initiatives deliver rapid value creation and align with business goals.
Keep most of your environment untouched
You can keep all your existing ETL chains for the use cases that don’t need real time and feed your existing BI tools with real-time data.
Create industrialised real-time data pipelines in minutes
This is exactly what you can do with Digazu. Ready to use on day one with no additional skills required.
A full range of real-time connectors
Digazu's real-time connectors connect to any source type and minimise the ingestion load by using a "read once, use multiple times" approach with incremental ingestion capabilities such as Change Data Capture (CDC).
Integrated stream processing
Digazu comes with powerful real-time transformations to combine all available data, current or historic. Users easily enrich their data streams with data from additional sources, create new streams by joining multiple sources, and back-test assumptions. A shared SQL access layer enables users to create combined data sets from any available source.
A low-code/ no-code user experience
With Digazu's Graphical User Interface, users easily perform the most common data transformations without any coding skills required. They perform less common transformations with SQL statements.
An enterprise-grade package
Digazu's infrastructure is built on parallel processing that can scale indefinitely without impacting performance. It supports the full path from early exploration to deployment in production.
It also integrates with existing enterprise resources for monitoring, alerting, metadata management, authentication, API management, and feeds naturally into existing consumption environments for BI and data science.
Built-in governance and privacy
Digazu provides comprehensive data governance features, such as lineage management, GDPR-compliant data segregation for specific purposes, data retention, and capabilities for data anonymisation and minimisation.
Out-of-the-box and cloud-ready
Digazu deploys to any Kubernetes cluster, which is natively supported by all major cloud providers and also deployable on premises. It doesn’t lock users into any cloud provider, as data can effectively be sourced from and streamed to any environment. Deployment is also easy and quick, reducing project risk.
Digazu helped us automate Sarbanes-Oxley audit-related controls, reducing the time and resources required for compliance, while also providing valuable insights for future operational audits.
Implementing the roaming Process Failure Sheet system with Digazu was an incredibly smooth experience. The no-code approach allowed us to efficiently set up and deploy the solution without needing a data engineer, which greatly contributed to the project's success.
We used Digazu to ingest, process, and analyse data in real time. One person was able to create over 50 data flows in just a few weeks, all of which were clearly architected, visible, and governed, while also providing valuable insights for future operational audits
Thanks to continuous monitoring based on alerts, we are able to identify and address issues in real time.