Data is complicated. Every system, methodology, and tech stack
brings with it various benefits and challenges. On top of that,
your organization's needs will be different from everyone
else, depending on your budget, infrastructure, ingest and extract
needs, on-hand talent, and myriad other factors. We help you to
identify what are the most important goals for your team, and what
tools, practices, and strategies will be most effective at
achieving them.
We like to think of data as a life cycle in 3 parts:
- ORI: Organization, Research, and Ingest
- POP: Pipelining, Operation, and Production
- OCP: Optimization, Consumption, and Presentation
ORI Services and questions we can help answer: (Organization, Research, and Ingest)
- Organization
- Data Migration
- System conversion (one warehouse to another).
- Cloud migration (On-Prem to Cloud).
- ETL or ELT?
- How you intend to consume your data will inform which works best for your organization.
- Schema
- Is your data relational?
- Is a file-distributed system best for you?
- Platform
- Do you already have a platform that you need help setting up?
- Are there budgetary or organizational limitations to consider in choosing a platform?
- What system is the most efficient for storing and organizing your data?
- Architecture
- Designing the Ingest process (how are you receiving your data?)
- Building your Data Models to fit your reporting structure.
- Creating a Data Map for your organization.
- Research
- Ingest
OPP Services and questions we can help answer: (Operation, Pipelining, and Production)
- Operation
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- Pipelining
OPP Services and questions we can help answer: (Optimization, Consumption, and Presentation)
- Operation
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- Pipelining
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- Production
Optimization, Consumption, and Presentation
OCP Services and questions we can help answer: (Optimization, Consumption,
and Presentation)