Do I have the architecture, processes and skills we need to support a Modern Data Platform that delivers real value to the business?
The Challenge
When your legacy data architecture is straining to support data growth and complexity, and you can no longer meet the needs of your data consumers, it’s time to plan a Modern Data Platform.
A Modern Data Platform—an MDP—uses flexible architectural components, with teams drawing on repeatable design patterns and a tailored D&A operating model to fill gaps left by traditional D&A processes and speed time-to-insight.
But with so much at stake, transitioning to a modern platform is tough to get right. An effective MDP must address the entire business data lifecycle:
- The pipes that carry data
- The platforms that manage and store data
- Database engines that prepare and analyze data
- Dashboards and apps that consume data
- Machine learning pipelines that uncover data insights, and
- A governance layer that connects people to trusted data and makes data findable.
Unfortunately, an MDP is not a switch you flip or a thing you buy. Without careful planning, you may find yourself with a different flavor of the same “wild west” architecture, with failed pipelines, poor performance or runaway storage costs. And even the best program will fail if you don’t enable talent to new disciplines and adapt the program to the company’s culture.
With so many moving parts, it’s difficult for a D&A team to plan a successful shift to a Modern Data Platform—or even know where to start—and keep doing their jobs.
D&A leaders are asking:
How do I select from a crowded field of platforms? Should I pick best-of-breed components or commit to one cloud provider?
How do I build the processes and patterns that enable my team to deliver data products in a whole new way?
Download A Guide to Modern Data Architecture
In The Guide to Modern Data Architecture from Axis Group you'll learn about the importance of:
- Modern data capabilities, components and design patterns, such as orchestration, x-as-code, testing, metadata-driven development, composability and data drift
- The shift to modern data principles and approaches, including how to focus on serving users, ways to maximize automation, and measure success
- How DataOps helps, from picking the right operating model to using design thinking to enhance output to applying change management messages
Successful Customers
Axis Group is my trusted D&A partner. Their methodologies and expert teams help me solve my most complex D&A challenges.
Fahad Bijle
Director Enterprise Analytics and Data Strategy @ Froedtert Health
Thanks to the advice and recommendation we got from Axis Group, we were able to implement a modern platform in a record time.
Ramzi Braham
Chief Information Officer @ Electrical Components International
Axis was instrumental in planning and realizing our data and analytics strategy. They helped to bring us out of the dark ages and held our hands as we took our first few steps. Thanks to their help, we’re flying now!
Ryan Young
Business Intelligence Manager @ GlacierBancorp
What I love about Axis is that they are laser-focused on solving the problem at hand.
Marcel Meyer
Head of Data Governance and Management - Commercial Excellence @ Siemens Healthineers
Case Studies
We have successfully delivered data & analytics solutions to customers in many industries, for various business functions. Not only did these solutions provide our customers with impactful insights, but they also generated excitement among business users, and created momentum for more data & analytics initiatives.
