Our credentials, partners, & models
We also have developed our own standardized marketing data model and suite of automated integrations called Starliner, which features:
- Data Warehousing for Marketing
- Audience Intelligence
- Cookieless Attribution
- Creative Optimization
- 360 Analysis
- Better Reporting
- Released first production dashboards within 90 days
- Built a center of data excellence.
- Instilled an experimentation culture and optimization capability
- Drove 11% growth of registrations
- 388 net new contacts, opportunity valued at nearly $7.7MM
- Potential of $1MM cost savings in media spend
- 5.4% growth in YoY donations
Our process starts by discovering our customers’ needs by meeting with stakeholders and reviewing business and technical objectives. We help discover the pain points that companies have, such as:
- Accurate and Consistent Metrics
- Easy and fast access
- Flexibility and Scalability
Discovery will answer questions such as:
- What is the strategic content and goals for using the data?
- What questions should the data answer?
- Who is this for?
We support a recommendation and selection criteria for a new data warehouse and/or data integration technologies. We help select and recommend tools for:
- Integration and cleansing strategy (ETL, ELT), wherein we recommend an approach for getting the data from source to tool
- Data flow diagram from source to tool documentation
We develop and implement greenfield data warehouse and integration solutions and determine the connection strategy for all sources within scope, including:
- Schema design: Harmonization of data into the data model
- Data Preparation: How will we harmonize all the data sources into a common model?
- Data Modeling: What modeling techniques do we need to apply to the raw data before being consumed by analysts, BI platforms, or Data Science tools?
- Roadmap Development
We optimize data warehouse performance, integration techniques, etc., by creating a current state assessment (wherein we assess the current tool and document what exists today) and a future state assessment. We perform/deliver:
- Performance testing
- Recommend best practices
- System data migrations
In this phase, we perform the following:
- Integration, Aggregation, and Feature Engineering: we automate data integration, cleansing components and aggregations for BI consumption (or features) into data science models.
- Data Management and Governance Program development: We detail the validation process and how will users access the data
- Project Management: We provide project execution leadership throughout the project lifecycle
In comparison to other dashboarding and marketing data visualization tools, Datorama combines real-time data from multiple sources to give you an accurate picture of how you’re performing across channels.
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