- Strategic Planning
- Data Engineering
- Reporting and Insights
Big Data Strategy
Mapping your data strategy shouldn’t be treated as an afterthought. We work closely with you to develop informed strategies and roadmaps, partner in the platform selection process, validate data workflows and pipelines, and extract insights into enterprise-level reporting and visualization. Empirical Path analytics consultants provide guidance, licensing, and data engineering services to teams confronting complex questions, expanding their marketing data capabilities, and implementing professional-grade tools and integrations.
Connect Your Data Sources
The amount of data your organization collects across different sources and data types can be dizzying. Our data engineers review your system architecture and blueprint the data pipeline from source to your end destination, whether it’s BigQuery, Amazon Redshift, or Snowflake, just to name a few. We validate your exports and check system connections for data integrity and reliability. We provide your team with detailed documentation and necessary knowledge transfer covering work we perform on your systems and data.
Compel Your Organizations to Act
Data visualization is more than a set of pretty graphs and charts. It highlights missed opportunities, identifies success, and compels you to act. We help move your organization from static, emailed spreadsheets to visualization platforms–like Tableau, Looker, Domo, and more–that are suited to your organization’s needs and security requirements. We gather requirements, define KPIs, and mock up dashboards for buildout. Organizations requiring more than configuration can trust us to develop regularly scheduled or ad hoc insights, including narratives that analyze trends in your KPIs and detailed business recommendations for your organization to consider.
Hands-on Training Tailored to Your Organization
Strategy & Training services are for Google Analytics 360 customers evaluating approaches to getting unsampled analytics and additional source data into BigQuery for deeper analysis. Also, BigQuery users can receive guidance on how data sets can go beyond conventional analytics to address advanced marketing questions.