Modern Data Stacks and AI

We analyse the current state of data and AI within your organisation. We discuss your unique situation and goals. We share best practices and provide insights from our technology evangelists on the latest technological advancements. The result is a comprehensive analysis that identifies gaps and opportunities for your organisation to effectively embrace and leverage these technologies.

Together, we ideate on how we can close the critical gaps. The result: we develop a realistic, qualitative assessment of those ideas and rank them by criteria such as feasibility, workload, and importance.

We quickly feasibility-check ideas to understand better what is possible and whether we are on track. The result: we deliver the early proof that budget owners need.

We summarise the findings and ideas from workshops, ideation sessions, and prototyping. The result: you receive a bespoke blueprint of potential steps to embrace AI (even more) specific to your business and market situation.

Through workshops, in-depth interviews, and market research, we comprehensively assess your organisation’s current state of data and AI and gain a deep understanding of your strengths, goals, and vision. The outcome is a well-defined evaluation of strategic objectives, business processes, your team’s available skills, and the current data environment. Furthermore, this assessment fosters better team alignment, which increases motivation and creativity throughout the strategy development process.

We collaborate to develop strategy hypotheses for your data and AI roadmap. We conduct additional workshop sessions and interviews with subject matter experts to delve deeper into the hypotheses. We also perform qualitative assessments to evaluate feasibility, opportunity, risk, and potential quick wins versus long-term strategies. We also consider the required skills, the organisational and technical impact, and the project volumes. The result is a comprehensive collection of strategy hypotheses that outline the necessary actions and approaches to achieve success.

We concentrate on the most promising strategies and develop key performance indicators (KPIs) to measure the current state and desired improvements, thereby defining success for your data and AI initiative. As a result, we provide you with a comprehensive strategy paper (and a handy slide deck for executive presentations) outlining our collaborative efforts in detail: a successful strategy for your data and AI program.

Together, we conduct workshops and interviews to document current affairs. The outcome: we comprehensively understand your vision, technology, and specific use cases in the context of data and AI. We systematically evaluate the current situation, analyse the organisational structure, and perform a gap analysis to assess the capabilities of both the organisation and technology.

We will develop a data and AI enablement action plan based on our findings. The outcome: the action plan outlines a roadmap of the necessary steps, capabilities, and skills required to achieve our objectives. It addresses organisational matters such as data skills, roles, culture, literacy, and governance and platform capabilities like data storage, scalable AI processing, and secure (private) cloud operations. We qualitatively assess strategic measures along various dimensions, including opportunity, risk, skills, feasibility, and others.

We develop KPIs to measure the current state and desired improvements to define success for the data and AI enablement initiative. The outcome: we provide an action plan paper (and a handy slide deck for executive presentations) outlining our collaborative efforts in detail: a successful action plan for enabling an organisation driven by data and AI.

In a workshop, we discuss your goals and the problem at hand. We assess constraints such as organisational dependencies, technical limitations, and legal or compliance issues. The result: well-defined objectives and challenges.

We get to the details of the problem and demonstrate how solving it will help achieve our previously established business goals. We assess the data available, the processing in place, and the required outcomes. The result: ideas about the solution and prerequisites, including additional data, cleansing, or labelling needs.

Understanding the problem, we hunt for a suitable algorithm to resolve the issue. Is this a Generative AI or a Predictive Machine Learning problem? A natural language issue or a structured data problem? Data reconciliation or cleansing? The result: we assess and provide the best-fit approach, whether an algorithmic solution, a data pipeline design, or a data product. We define metrics to measure success and plan the operationalisation.

We adhere to agile principles as this is the most reliable way to deliver on time and budget. The result: we create the first iteration of the backlog – an action plan ready for whenever you start with execution.

We recommend testing the solution with actual data but at a low scale to enable decision-making and budget approval. The result: a proof of concept or feasibility with better insight into efforts and timelines.