Despite all the noise and uncertainty surrounding AI implementation in the modern data space, the path to data maturity has been charted—and AI unsurprisingly plays an integral role. At Hakkoda, our Data Innovation Journey™ (DIJ) framework is designed to illuminate each step along that path, including which AI functions and tools are necessary to drive innovation.
While the web-native DIJ Calculator enables organizations to get a quick understanding of where they stand in their Data Innovation Journey™, Hakkoda also offers a more in-depth exploration of how AI can be deployed to bring about greater data maturity through our AI DIJ Workshops.
In this article, we’ll cover what is included in an AI DIJ workshop and take a look at a recent workshop to understand what value these events can deliver.
AI Data Innovation Journey Workshops Help You Chart a Course to Innovation
After getting to know a client’s data architecture and strategy in depth, we chart the efficacy of their data stack along various areas of performance: data sharing and apps, machine learning, BI and analytics, automation and dataops, and data architecture. These areas are inherently connected to the client’s AI capabilities, and that focus remains a throughline as the workshop progresses.
Each area of performance falls into one of four stages of data maturity: Chaos, Order, Insight, and Innovation. We also project a “target state” for each of these areas, setting a definable goal for what level of data maturity we intend to achieve during our partnership with the client.
With this bird’s eye view of the client’s data journey established, the workshop then becomes more granular, addressing the specific challenges, risks, strategies, and desired outcomes that will define the organization’s data evolution.
What AI tools and functions will best serve the client’s needs, and how can they be implemented most effectively? What challenges will need to be addressed, and ultimately, what outcomes and value will new AI tools be able to deliver?
This includes a pragmatic roadmap that charts a defined course for the client’s Data Innovation Journey™, which is delineated in concrete phases ranging from the near-term to the long-term.
Let’s take a look at how Hakkoda charted one client’s AI Data Innovation Journey™ in a recent workshop.
Case Study: An AI Data Innovation Journey Workshop Paves the Way to Data Maturity for a Global Client
When a top distributor of metal materials and custom-engineered components approached Hakkoda about modernizing their data approach through AI, an AI DIJ Workshop was one of the first steps taken.
In getting to know the organization and its data approach, Hakkoda found that, despite some areas of progress with data sharing and analytics, the organization was still struggling to move beyond the Chaos stage with their current AI tools and functions.
Diving deeper, we found that cognitive overhead and time waste were holding back high value experts from doing the work that drives sustainable growth and revenue.
These are areas where AI excels in doing the work that humans do inefficiently, in order to empower team members to do the high value work that only they can do.
The workshop presenters also identified inefficiencies in operational workflow, product and service delivery, and intra-organizational data integration, all of which were addressable with the right AI solutions.
Going From Workshop Readouts to Real Business Outcomes
A three-phrase proposal was presented, covering over a year of defined initiatives, each with a projected cost and ROI.
After a detailed discussion of these initiatives, including all the steps that would lead to successful implementation, the workshop ended with proposed next steps for getting the initiative underway quickly and effectively.
In the end, beyond the obvious value of better understanding their current data limitations and how AI could be leveraged to address them, the client was also presented with a data innovation plan that was custom-built just for them—a blueprint for a long-term partnership that would help them harness the power of AI on their journey to data maturity.
Start Your Data Innovation Journey™ with Hakkōda’s Experts at Your Side
The journey to data innovation—and the crucial role that AI plays in that journey—doesn’t need to be some great mystery. There are specific tools, strategies, and outcomes that define each step on the path to data maturity, and the AI DIJ Workshop is designed to lay those steps bare for our clients.
Through these workshops, our Snowflake- and AWS-certified experts can provide the high-level vision, as well as the nitty-gritty details, that organizations need in order to begin their Data Innovation Journey™ with confidence.
If your organization is ready to forge a path to greater data maturity with the power of AI, let’s talk today about how Hakkoda can help you take your Data Innovation Journey™ into your own hands.
