Proven process of adoption

We prioritise a fast time to go live, early results, and iterative improvements that build momentum.

Our proven process of adoption

Start seeing value from GraphAware Hume in weeks, not months, and expand capabilities iteratively as you continue to deliver new value.

01/10 Value understanding

Together, we assess your fragmented data challenges, and evaluate if a graph-powered approach meets your requirements.

02/10 Proof of value

We demonstrate the value with a proof-of-concept (PoC) built using a representative subset of your data. This includes data modelling, engineering, and setup to ensure your analysts can fully experience the power of the platform and understand the impact of adopting graph-powered intelligence analysis.

03/10 Setting up for success

Next, we craft a detailed project plan together for implementation, including detailed information about sizing and licensing. In parallel, we set up the infrastructure and begin training.

04/10 Round 1: capability development

After preparation, production begins. This happens in iterative cycles. Each cycle is fast and adds value, progressively advancing your capabilities.

05/10 Data modelling

Together, we design the best graph data model to help you find the answers you need.

06/10 Data engineering

Together, we ingest data into GraphAware Hume from your new and existing sources. We transform structured and unstructured data into a connected intelligence picture — ready for analysis.

07/10 Hume setup

We help you customise GraphAware Hume’s functionality to your needs — define access rights, deep dive into the user experience, and preset the most important queries your analysts need.

08/10 Analytics

Your analysts can now work with your GraphAware Hume, getting results with a few clicks. During this phase of advanced intelligence analysis, we help increase adoption across your organisation, training more users.

09/10 Round 2: automated analysis

The more you connect and work with the data, the more your capability grows. Your analysts can begin automating their analysis – defining patterns and setting up alerts on key entities and connections.

10/10 Round 3: predictive power

Now, your new graph database and knowledge graph are operational, growing with each day. Analysts begin to leverage graph data science and AI for predictive analysis, supplying mission-critical recommendations.

GUIDED BY SKILLED GRAPH EXPERTS

We take your success seriously. We guide your teams until they possess the know-how and skills to become independent owners of the platform.

Your team will become experts, confidently navigating your organisation’s intelligence needs and serving as the go-to reference for all intel questions.

  • Installation and deployment
  • Data modelling
  • Data engineering
  • Query building
  • Graph data science
  • Technical teams and end-user training

Case studies

See GraphAware Hume in action

Results from a 2-week proof of concept: four suspects in minutes

Streamlining criminal asset confiscation

Utilising the GraphAware Hume platform, the Agency team were able to build a cutting-edge solution for the financial crime investigation taskforce.

Transforming policing in Western Australia

The Western Australia Police Force’s graph platform IRIS, powered by GraphAware Hume, delivers a cutting-edge technology solution that helps the agency keep their community safe.

Book your live demo

Schedule a live walkthrough with one of our specialists.