Our Data Platform Accelerator
Data Consulting Services We Offer
Digital Transformation and Change Management
Hiring and Training Strategy
Use Case Workshops
Architecture
POC Builds
Advanced Analytics and AI
Full Implementation and Ongoing Support
Data Platforms Built on GCP, AWS and Snowflake
Not Sure Where to Start?
We can provide consulting services to help you understand how a better data strategy can help improve your performance in a cost effective way.
Our Ideal Project?
We combine strategy and use case identification with building. Unlike other firms, we take a use-case-driven approach to builds that don’t require long discovery periods. Our discovery time is measured in hours. Our build time is measured in weeks.
POC Builds | Use Case Workshops
Ready to Execute?
If you have a strong idea of what you need (better, faster reporting, customer 360), we can start building within two weeks, and will be finished within months.
Architecture | Full Implementation and Ongoing Support | Hiring and Training of Your Team (if needed)
A Little Background on Us
Our data consulting and development leverages best practices used by organizations like McKinsey, AWS, and Google. But we haven’t just adopted these best practices from them. We helped define best practices for these organizations and even trained them.
We focus on simplicity over elegant design. Pragmatism over bleeding edge technology. We recognize the clash between limited resources and evolving business requirements. Our builds focus on giving organizations the ability to keep up with the pace of modern data requirements while working within the limitations of resourcing and staffing.
Problems We Solve
All companies need a solid data strategy whether you want to implement AI or even more basic reporting. This requires understanding who will consume the data, in what format and how it will be delivered to them. Augment can help map out this strategy.
Data strategy
From breaking down data silos, establishing architecture, vendor selection, and security–we have helped clients blend data strategy while building proofs-of-concept to demonstrate the value add
Performance and cost
Modern data platforms can be expensive, and performance issues can come up suddenly and without obvious reasons. We have helped clients manage issues around latency, throughput, and concurrency while keeping careful caps on TCO
AI
Want to take advantage of AI? We can help separate the signal from the noise to build AI projects that add meaningful value now
Why Augment for Data?
Experience
We have seen organizations large and small. We understand what success looks like long term, and what steps can lead to failure.
Value Add
We don’t focus on builds that demonstrate technology. We focus on proofs-of-concept and initiatives that show value add from day one.
Small teams
Our data platforms are designed to be built and maintained by small teams
Timeline
Our experience has shown us the best practices, architecture patterns, and development models to build rapidly. What others build in months, we build in weeks. Typical POCs last 4 weeks. Phase 1 MVPs last 2 months. Full-fledged digital transformations for large enterprises take less than a year.
Maturity
We help clients navigate their journey through a full digital transformation – from an organization that owns data to an organization that unlocks insights
Data Practice
How we can help
We guide clients from the first day to the last. From evaluating your current technology and team makeup, to defining operational models to best leverage the technology we build with you
Fully unlock AI
Unlock AI
Define AI tech stack and design integration with the data platform, identify AI use cases, build and train initial AI models, (could become a separate AI engagement)
Hire new staff
Grow your team
Create job descriptions, hiring plan, and conduct early stage interviews
Data management and discovery, start of AI
Unlock your data
Create a data management plan, build it and provide consulting services on a long term vision for how to leverage search and natural language capabilities for data discovery
Establish your dev cadence and federated dev model
Refine your process
Create a CI/CD process, provide experts to be embedded into initial development teams, transition so teams can work autonomously
Stand up your data team, upskill talent
Level up the people
Define key roles and responsibilities, full assessment of in-house skillsets and gaps, training for your team on architecture and technology
Define primary/secondary tech stack, security/access policies
Define it
Identify the best tech stack for your company’s needs, security team to create security and access best practices
Initial POC plus several additional use cases
Prove
Development team will build the first few use cases