As the world of data undergoes a continuous and profound transformation, organizations struggle with an explosion of data volumes, demand for real-time insights, and the ever-present need for robust security and compliance. Likewise, the path to high data ROI has become more pressing — and more complex. Boomi is at the forefront of this transformation. Our recently announced Sydney-based sovereign data integration capabilities will empower Australian businesses to truly harness the power of their data.
Australian Deployment Carries Significant Strategic Importance
With a Sydney-based instance of Boomi Data Integration (formerly Rivery) now live, Australian organizations can deploy log-based Change Data Capture (CDC) and near-real-time Extract, Load, and Transform (ELT) pipelines entirely onshore. So, sensitive data remains within national borders, simultaneously reducing latency and aligning with regulatory requirements under the Privacy Act 1988, the Australian Privacy Principles (APPs), and sector-specific frameworks including APRA CPS 234 and the My Health Records Act. From a business perspective, this is absolutely essential in highly regulated industries such as financial services, government, education, and healthcare.
Only Data-Driven Organizations Can Expect Success in the Agentic Economy
Data teams face immense pressure to handle increasing data sources, diverse data types, massive volumes, and near real-time refresh rates. This “data tsunami” pushes teams to seek solutions that are easy to use and reliably deliver fresh data to stakeholders. Nevertheless, digital fragmentation (data silos), poor data quality, a lack of robust data governance, and limited data security and traceability hinder reaching that goal. And the sad truth is that executives often don’t trust their own data.
When leaders can’t trust their organizational data and an inordinate amount of time is spent “fixing” data inaccuracies, the maxim “garbage in, garbage out” has lost none of its relevance. If you feed your AI models garbage, only disappointment and risk will result.
As Boomi CEO Steve Lucas points out in a recent LinkedIn post, “One of the most overlooked parts of building great AI is knowing what your business actually knows.” Lucas quotes vector database provider Pinecone’s founder, Edo Liberty, who states, “There’s a massive gap between what language models can do and what enterprises actually know.”
[CALLOUT: To learn more about the role of data management in agentic transformation, watch our webinar The Path to High Data ROI. ]
You Have the Data. The Key is Increasing Its Value and Maturity.
Boomi offers a clear path to increasing data value and accelerating data maturity. The journey begins with developing a readiness strategy rooted in a culture of democratization and composability. The next important step is connecting everything with the right data, at the right time and place. Automation then removes the need for human intervention in repeatable processes, paving the way for AI deployment. Data maturity allows organizations to optimize AI agents using enriched, standardized, validated, and trusted datasets.
The Boomi Enterprise Platform provides the tools necessary to achieve these objectives. It enables businesses to be “data-ready” through agile integration of data and applications. In addition to core integration, API management, and ELT streamlining capabilities, the Boomi platform includes Boomi DataHub, which reduces synchronization and governance complexity, enforcing data quality standards and ensuring data is available to the right people at the right time. Unlocking data’s true value also means moving beyond one-way data pipelines to embrace bidirectional data flow, which enables real-time feedback loops, enhances data accuracy, and improves decision-making across the organization.
Lower Your TCO With Automated Data Pipelines
Automated data pipelines feature no-code authentication and security through managed connectors, smart change data capture for efficient extraction, and the ability to handle API changes. They automate target table and field creation, incremental data loads, and adjust to schema changes, accelerating and minimizing data transformation. Beyond just ingesting data into data warehouses, they also activate and operationalize data in reporting systems, allowing teams to focus on essential engineering tasks.
AI agents, predictive models, and real-time analytics all demand one thing: trusted data, delivered quickly and securely. But in Australia, compliance is just as critical as speed. With local deployment of Boomi Data Integration, we remove the compliance barriers to AI, while giving partners and end-users the near-real-time data capabilities they need to innovate.
Boomi World Tour Sydney is taking place November 12-13. Join us for sessions, demos, and actionable insights on how to modernize your data integration strategy and maximize data ROI through AI-driven automation. Register today!