Parramatta, 2150, NSW,
Australia
Revenue NSW Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Revenue NSW and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 2500 Revenue NSW employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Revenue NSW has purchased the following applications: SAP Signavio Process Governance for Analytics and BI in 2022, Atlassian Confluence for Collaboration in 2020, Akamai CDN for Content Delivery Network in 2022 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Revenue NSW is running and its propensity to invest more and deepen its relationship with SAP , Atlassian , Akamai or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Revenue NSW revenues, which have grown to $650.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Revenue NSW intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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| SAP | Legacy | SAP Signavio Process Governance | Analytics and BI | Analytics and BI | n/a | 2022 | 2022 | In 2022 Revenue NSW implemented SAP Signavio Process Governance as part of a broader SAP Signavio solutions deployment in the Analytics and BI category to create a single business process intelligence platform and product knowledge warehouse. The deployment targeted enterprise process governance and process intelligence, aligning process design with a new metamodel that models products, processes, and services to provide multidimensional views of operations. The implementation included SAP Signavio Process Manager, SAP Signavio Process Governance, SAP Signavio Process Collaboration Hub, SAP Signavio Journey Modeler, and SAP Signavio Process Intelligence, with the SAP Signavio Process Governance capability central to connecting modeling, governance, and knowledge management. Process intelligence dashboards were developed for a pilot that analyzed more than 50 tables, over 10,000 columns, 25 packages, and more than 20,000 lines of code, and the project used process mining capabilities in critical program areas. The team used solution dictionaries and modeling standards to enforce consistent metamodel application and to automate propagation of changes across models. Revenue NSW integrated many data sources with SAP Signavio Process Manager solution dictionaries to populate the product knowledge warehouse and to surface hidden process interdependencies that affect service delivery. The rollout covered all major product lines and documented and analyzed more than 1,800 business processes, representing approximately 90 percent coverage, while starting to use SAP Signavio Journey Modeler to connect customer expectations with operational processes. Governance elements such as risk, data availability, and impact were embedded in model attributes to make process information actionable for decision makers. Explicit outcomes reported from the implementation include identification of more than 300 process improvement opportunities with multimillion dollar potential, a documented saving of 31,009 hours from using process documents in the first year, a 50 percent improvement in output from process mining for the Land Tax Stimulus program, and a 32 percent improvement in business process maturity aligned to CMMi SVC. The deployment also supported reduction in possible phishing and cybercrime by distinguishing emails sent from individual versus corporate addresses, reinforcing both operational controls and process centric governance through SAP Signavio Process Governance. | |
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Process Mining | Analytics and BI |
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2022 | 2022 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Atlassian | Legacy | Atlassian Confluence | Collaboration | Collaboration | n/a | 2020 | 2020 | ||
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Collaboration | Collaboration |
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2022 | 2022 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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| Akamai | Legacy | Akamai CDN | Content Delivery Network | IaaS | n/a | 2022 | 2022 | ||
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Content Delivery Network | IaaS |
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2022 | 2022 |
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Core HR | HCM |
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2015 | 2015 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Customer Engagement, Customer Experience | CRM |
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2018 | 2018 |
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Customer Experience | CRM |
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2022 | 2022 |
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Customer Experience | CRM |
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2022 | 2022 |
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ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Debt Collection and Recovery | ERP Services and Operations |
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2017 | 2017 |
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ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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ERP Financial | ERP Financial Management |
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2017 | 2017 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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IT Service Management | ITSM |
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2021 | 2021 |
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Procurement
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Procurement | Procurement |
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2017 | 2017 |
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