From a technical perspective, we look at data end to end. We think about the quality of the data and how it’s received. We believe that data needs to be part of an architecture that is purpose-built. Metadata must be defined, understood, and easy to use. Its lineage must be tracked. It must be secured. And it must be available to the end users and systems that need it.
Once in a nirvana state, there must be a sustainable governance process to keep it that way. It should be an automated process that also takes the human factor into account. These are the types of initiatives our team helps our clients to drive.
Key Elements of Data & AI
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Data & AI Workshops
You can choose from one of our free to low-cost workshops below or we’ll customise a workshop just for you. It’s discovery that moves vision to value – faster.
Data Strategy
Goals
- Define you business and data strategy needs
- Identify stakeholders
- Assess current technology and architecture
- Review compliance and auditing needs
- Create backlog of business priorities
- Identify quick wins
- Identify gaps between current state and desired future state
Take-a-ways
- A plan outline to address the gaps between current and desired future state
- A road map for next steps and deliverables
Data Topology
Goals
- Understand process to gather data and data consumption
- Identify users collecting data
- Explore technology and data architecture landscapes
- Identify technology gaps
Take-a-ways
- A prioritised high-level roadmap
- Plan outline for next steps, owners and action plan
Get the Most Out Of Your Data - Start Now
Get data in the hands of those that need it - when, where, and how they need it
Ensure timely, confident decision-making
Unlock the competitive insights hidden in massive amounts of available data
Increase customer satisfaction as a good steward of PII and other customer information
Explore our Clients' Success Stories
Below are various client scenarios and the solutions we implemented.