Does your current data solution consist of several manually maintained spreadsheets and unreliable databases that fail to support your data use cases?

Then get on track with your data strategy by centralizing and activating all your data through a modern, secure, and future-proof data platform, all while staying budget-friendly, delivered as a turn-key solution by FELD M.

Our team of experts carefully assesses your unique business requirements and data use cases, using it to select the appropriate combination of tools, technology, and data modeling strategy.

This is followed by the team integrating and validating your mission-critical & support systems (e.g., ERP, web analytics, CRM) and transforming the data for the defined use cases (e.g., AI application, dashboards, self-service analytics).

Upon completion, when the platform, its models, and data are duly validated, accepted, and documented, we will provide you with comprehensive training and appropriate ongoing support when needed. This ensures that your in-house team can confidently manage and navigate the platform in the future, and tackle any challenge which comes their way.

We find our clients benefit most from clearly defined sprints during which scope, expectations, and responsibilities are clearly set for all the parties involved.

Sprint 1

We start by gathering all the necessary information to curate your ideal tool combination and architectural setup. This involves information collection across various categories, including data and use cases, personnel and their skill sets, as well as existing tools and legacy systems. The sprints ends by consolidating and jointly committing to a platform setup, project roadmap, priorities, responsibilities as well as clear final deliverables. Sprint 1 is also available separately.

Sprint 2

Our team will set up the individual components of your platform, and add data integration pipelines for each data source within the agreed scope. Once done, the integrated data is preliminarily validated against the source systems, staged and the modeling strategy for the whole data warehouse is defined and agreed upon among the stakeholders. The agreed modeling strategy will act as a backbone for the whole data platform.

Sprint 3

We then build the complete data model based on the agreed modeling strategy, use cases, and deliverables, delivering testing views/dashboards to stakeholders for Q&A and acceptance testing based on the defined prioritization. Once we've finalized the data model, the whole pipeline is brought to production state, documented & packaged for handover.

Sprint 4

We wrap up the project by conducting a thorough onboarding session for your team and obtaining final approval from both the data team and stakeholders. Following this, our team transitions to providing on-demand support or shifts focus to activating specific elements of the data platform, such as dashboards or operational analytics.

Sprint 5

Our team develops a selection of ‘lighthouse’ reports or analyses centered around the prioritized models (e.g., North Star KPIs). These reports will serve as a tangible demonstration of the value generated by the project upon its completion and act as beacons for follow-up projects. Sprint 5 is optional.