Our Services.

Our services can be tailored to meet your needs but generally fall into the categories below.

Our approach to identifying an effective data architecture is a holistic and iterative one. Data dependencies often span multiple teams and technologies, and if data issues are not addressed at their source then they will only be temporarily masked before perniciously surfacing again and again. Data architectures can be complicated, and expecting perfection out of the gate can impede making meaningful progress today. Knowing what you need to get right when, and what can be improved upon in the future is critical to building a successful data architecture and comes with experience.

Our team uses a cost-conscious approach to selecting the best technologies that fit into and augment your existing architecture while laying the foundation for further development as your business and data needs grow. We’re here to put our experience to work helping your business succeed with its data efforts by ensuring that they’re standing on a solid foundation in data architecture.

Consulting Services

Lucid Data provides our business clients valuable consultation on whether or not they have the right data architecture needed to achieve their current and future data goals, and whether their teams are structured and equipped to execute against those goals effectively.

Data Architecture Audit

Does your current data architecture seem overly complex and fragile for what it is expected to deliver? Is your current data architecture designed with intention, or did it grow organically over time in response to emerging needs? Are you unsure of how to move forward with simplifying your existing data architecture while at the same delivering more value from your data?

While data functions grow linearly the underlying architectural complexity grows quadratically, unless that complexity is intentionally managed and planned against. This growing complexity translates directly into increased data quality issues, increased operational issues, and slower delivery times on data efforts.

Lucid Data can perform an audit of your current data architecture, evaluate its effectiveness in supporting both your current and future data goals, and provide your team with step-by-step recommendations on how to improve and simplify your data architecture to better deliver value from your data.

Data Ownership Assessment

Do your teams frequently struggle to find who the authority on a particular key business metric is? Do they manage multiple, often conflicting, versions of data representing the same business functions or needs? When data issues arise, is it difficult to find the source of the problem, and who knows exactly what to do to fix it?

Poorly defined data domain and data capability ownership can quickly lead to misalignments of ownership, responsibility, and agency. This in turn can lead to increased data quality issues and operational fragility, and decreased team cohesion and project delivery.

Lucid Data can perform a data domain and capability discovery and work with your team(s) to develop an ownership model that ensures that data ownership, responsibility, and agency are properly aligned across teams to improve organizational effectiveness and data project delivery.

Data Project Review

Are you looking for a trusted outside resource to review the architectural requirements for and impacts of an upcoming data project or effort? Do members of your technical staff disagree on which course is the best route forward? Are you uncertain that you’re selecting the best technologies and methodologies to make your upcoming data project a success?

The Lucid Data team can perform individual data project reviews to ensure that your data efforts are set up to succeed.

This can be a good place to start a working relationship with the Lucid Data team before committing to a full-fledged architectural audit and/or ownership assessment. It can also serve as a natural extension of the results of an architectural audit and/or ownership assessment.

Contracting Services

The Lucid Data team can also be contracted out to assist with the design, implementation, and maintenance of some specific and common data infrastructure needs.

Cloud Data Warehouse

The modern, cloud-based, data warehouse is a critical element of an effective data architecture, as it provides a single resource where data from across the enterprise can be meaningfully collected, structured, and analyzed.

Our team can help you utilize the latest cloud-based data warehousing and ELT tooling to provide a reliable foundation for reporting, analytics, and data science. Key elements include:

  • Modern Cloud Warehouse

  • ELT/ETL Orchestration

  • Data Replication

  • Data Discovery

Customer Data Platform

Tracking and measuring a customer’s journey across marketing, sales, and operations touch points, and within your applications is essential to understanding, engaging with, and growing your customer base.

Our team can help you overcome the substantial data integration challenges at the heart of tracking and understanding your customer’s journey. Key elements include:

  • Customer Data Integration

  • Identity Resolution

  • Product and Marketing Experimentation

Machine Learning Ops

Are your data science and data engineering teams struggling to reliably put the results of their Machine Learning models to work in your applications and SaaS tools?

Training a machine-learning model once in a Jupyter Notebook is one thing. Developing, deploying, and maintaining ML solutions in production software environments is another thing altogether. Machine Learning Operations (ML Ops) brings the assurances of modern software engineering to machine learning solutions. Key elements include:

  • Reliable Feature Store

  • Automated Model Training, Testing, and Deployment

  • API-based Model Integration and Delivery