Recordly store Data to AI Roadmap
What is data to AI roadmap?
It's a structured process where we utilize Data Design to turn scattered, manual, and siloed information into a connected, well-governed, business- and AI-ready data foundation.
It’s about designing how data flows, is managed, and creates value so that your organization can make better decisions today. In other words being data-driven and ready for AI-driven opportunities tomorrow.
Different perspectives of Data to AI Roadmap
Strategic- Focuses on your organization’s needs and goals
- What business goals and strategic initiatives do we need support for from data solutions?
Role-based
- Focuses on specific roles to improve situational awareness, automation or processes for those roles
- How can we help a given role perform better and utilize data solutions in their work?
- Focuses on specific tasks or specific parts of a process to recognize opportunities for optimisation and automation to help improve task performance
- What possibilities to automate or improve the given task can we find?
Why data to AI roadmap?
AI and data projects tend to often fail. Research* shows there are five big reasons for failure:
- Stakeholders misunderstand or miscommunicate what problem needs to be solved using AI
- Lack of necessary data to adequately train an effective AI model
- Focus rather on using the latest technologies than on solving real problems for real users
- No adequate infrastructure to manage data and deploy completed AI models
- The technology is applied to problems that are not suitable for AI to solve.
It is crucial to understand and define the right problem and required data with the right stakeholders to design a solution and communicate clearly during the development process.
* RAND 13.8.2024 - JAMES RYSEFF, BRANDON DE BRUHL, SYDNE J. NEWBERRY - The Root Causes of Failure for Artificial Intelligence Projects and How They Can Succeed
What is Recordly’s Data to AI Roadmap program?
Recordly’s Data to AI Roadmap program helps your organization reach its business goals and improve user adaptation of data based solutions.
Data to AI Roadmap utilizes business and service design methods in co-creation with end-users to create concrete results and case descriptions for data and AI development. It transforms fragmented, manual, and siloed processes into a connected, real-time, and insight-driven operating model.
We combine business processes, goals, users and knowledge of your business to recognize your most potential use cases for analytics, data development and artificial intelligence.
Data to AI Roadmap is the best way to manage development cost
Development of underutilized solutions is the most expensive kind of work. When looking at the cost of data development, it’s easy to see how Data to AI Roadmap can secure ROI/ROL (Return Of Investment & Return Of Learning) and manage development risk.
- Avg. first year cost of a medium-sized data platform: €350,000
- Cost of building a single Power BI dashboard: €1,500 - 9,000
- Avg. cost of building one basic GenAI app: €60,000
Doing any of the above without a proper vision and user participation is, in the worst-case-scenario, money wasted.
Our Data to AI Roadmap program ensures that you are solving the right problem and participates end-users as a vital part of change management, ensuring successful adaptation of the new data solutions.
Who's it for?
Recordly’s Data to AI Roadmap program is for:
- Any business in any industry that has processes
- Organizations that rely on multiple systems and manual data handling (e.g., Excel workarounds).
- Any organization that does not yet realize the potential from its data
- Any business that aims to move beyond ad hoc reporting and achieve data-driven decision-making and operations, and become AI-ready as the cherry on top.
Typical roles who benefit from the Data to AI Roadmap program include but are not limited to:
- Supply chain leaders
- Operations managers
- Digital transformation teams
- CIOs/CTOs
- Data strategy leads.
What's included in the Data to AI Roadmap program?
The Data to AI Roadmap program is delivered in phases to ensure both strategic alignment and practical outcomes.
Phase 1 – Discovery, process mapping, and preparation
Firstly, we get familiar with your business, its strategy and goals, to get the full picture of what we’re dealing with.
We then analyze your current processes, workflows, existing data solutions, and your whole operational environment to uncover automation potential and pain points, while mapping data flows and existing system capabilities.
Phase 2 – End-user and business workshops
Together with your teams, we run structured workshops to surface the challenges, requirements, priorities, and user perspectives. This helps to ding possibilities for the needed data solutions and improves the users’ commitment to the final solution.
Phase 3 – Use case evaluations
We identify use cases and assess them for complexity, feasibility, impact, and strategic importance, as well as their relation to one another on a high level. By the end of this phase, we have defined a clear set of “quick wins” and longer-term opportunities for you.
Phase 4 – Summary and action plan including recommended next steps
We create a tailored roadmap that outlines the required data capabilities, integrations, and governance practices needed to move toward your new data-driven operating model.
We create a high level plan of implementation of the chosen use cases, and you’ll get a summary and description of the findings during the design work as well as the expected benefits. Finally, you’ll have clear definitions of the recommended next steps to proceed with case prototyping and a foundation for implementation, including readiness for AI and advanced analytics.
Each case is weighted together with your team, based on the criticality, importance, added value and relationship with other development work. This gives you a clear vision on how to proceed with the development.
Business value and expected outcomes
As a result of the Data to AI Roadmap program, your organization can expect the following benefits:
- Recognize data development opportunities that are meaningful for your people and your business
- Improves understanding of data requirements within business processes
- Organically improves desire for data-drivenness and engagement of your people
- More often than not, people better engage with the end result and are more willing to adapt new ways of working when they participate in design work and are allowed to communicate their own needs. More on that here.
- Provides a structured way to design data products and recognize use cases for data based solutions
- Opportunity to scale your initiatives from one business area to another.
FAQ
Q: Do we need to have an existing data platform in place?
A: No. Organizations can start Data to AI Roadmap programs with fragmented tools. The service helps you identify what’s already working and what needs to be built or improved.
Q: How tailored is the service to our business?
A: Every Data to AI Roadmap program is customized. While we use a structured methodology, the roadmap and use cases are based on your processes, people, and business goals.
Q: Can the Data to AI Roadmap program be carried out remotely?
A: Yes, though the best results come from a mix of on-site workshops and online sessions. Observation days and co-creation workshops benefit from direct engagement.
Q: Will we get concrete next steps or just analysis?
A: Yes; you’ll walk away with a prioritized roadmap, use case evaluations, and actionable recommendations ready to be projectized.
Q: We are already data-driven. What more can you improve?
A: A follow-up question: do you have all the following in place?
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Reliable data foundation: trusted, well-governed, and accessible data that everyone can rely on
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Data-driven culture: decisions are guided by data, not gut feeling, and employees have the literacy to use it
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Embedded analytics & AI: insights and automation are built directly into everyday processes and products.
What's next?
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Book a discovery call
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We’ll scope your challenge together
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You’ll get a plan, timeline, and outcome options.
Practicalities
- Price and duration: starting at 14,700€
- The price is calculated for a Data to AI Roadmap program execution for one single business unit, including two workshops (The minimum consultant allocation is 14 workdays)
- For multiple users and stakeholders within the business unit, we recommend increasing the amount of workshops and time for iteration.
- Format: Mix of workshops, process observations, analysis, and roadmap delivery
- Recordly experts available: Data strategy consultants and domain specialists.