Proven Process
of Adoption

Value Understanding

Together, we asses your siloed data challenges, and evaluate if a connected data solution will meet your requirements.

Proof of Value

We demonstrate the value with a Proof-of-Concept (POC) built using a representative subset of your data. Your analysts can experience the power of the platform, and understand the impact of adopting a connected data solution.

Setting up for Success

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

Round 1: Capability Development

After preparation, production begins. This occurs in iterative cycles. Each cycle is fast and adds value, progressively advancing your capabilities to the next level.

Data Modelling

Together, we establish how your data should be modelled to get the answers you need – for example, if a phone call should be a node or a connection.

Data Engineering

Together, we begin ingesting data into GraphAware Hume from your sources (new or existing), transforming spreadsheets and unstructured data into a connected view of truth — ready for analysis.

Hume Setup

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

Analytics

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

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.

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 for predictive analysis, supplying mission-critical suggestions.