Building an Automotive Data Warehouse
- By Bill Hoerr
- Whitepaper
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Building an Automotive Data Warehouse: A Practical Guide To In-House Data Integration
By: Bill Hoerr
Building a unified customer data system is not just for large enterprise dealership groups with massive budgets. With the right approach, dealers can achieve enterprise grade capabilities using modern cloud infrastructure and smart integration strategies. Having built a complete data warehouse from scratch for a 4-rooftop dealership group. I'd like to share the real-world experience, challenges, and measurable results that prove it's possible.
Section 1 - The Data Challenge:
Our group operates multiple disconnected systems. DMS, CRM, Digital Retailing, websites each containing important data points that rarely integrate with one another. This fragmentation costs us time, accuracy, and of course, money. This section explores the challenges.
Section 2 - Fragmented Customer Data:
Beyond missed sales opportunities, these data silos create operational inefficiencies that further drain resources on a daily basis. From hours of weekly manual data entry, to technology redundancy across platforms, the true cost of disconnected systems contribute to more bottle necks than obvious revenue loss. This section quantifies what fragmented data was costing our group.
Section 3 - Solution Architecture That Actually Works:
Not all integrations are created equal, We'll break down the technical architecture that successfully unified CDK, DriveCentric, and real-time customer touchpoints use AWS, curated scripts, and Segment CDP. This is the system design that was successful for Sport Automotive Group.
Section 4 - Real-World Implementation:
6 Months, $3,000/month budget, and team of one. This section illustrates the actual implementation journey including 3rd party partner involvement (CDK Data Your Way), technical challenges (inconsistent data format), and practical solutions that worked. You'll get honest assessments of what went wrong and how it was fixed.
Section 5 - Measurable Business Impact:
Examine the specific business impact to marketing, data processing, customer acquisition costs and more importantly, you'll see the data scoring methodology that proves the system works for our initial targets.
Section 6 - The Path Forward:
The auto industry is at a point where customer data capabilities will determine operational efficiency, competitive advantage, and internal data quality. Review the upcoming opportunities in AI, predictive analytics, and what our group can do today to position for tomorrow's data-driven opportunities.
Download Your Copy Here
https://drive.google.com/uc?export=download&id=1nJEOSz5Y3MgFJyY33fU7hRdXKY31dPAd
This whitepaper represent real implementation, not vendor marketing. Every metric, challenge, and solution comes from the actual deployment at our 4-rooftop dealership group.
By: Bill Hoerr
Building a unified customer data system is not just for large enterprise dealership groups with massive budgets. With the right approach, dealers can achieve enterprise grade capabilities using modern cloud infrastructure and smart integration strategies. Having built a complete data warehouse from scratch for a 4-rooftop dealership group. I'd like to share the real-world experience, challenges, and measurable results that prove it's possible.
Section 1 - The Data Challenge:
Our group operates multiple disconnected systems. DMS, CRM, Digital Retailing, websites each containing important data points that rarely integrate with one another. This fragmentation costs us time, accuracy, and of course, money. This section explores the challenges.
Section 2 - Fragmented Customer Data:
Beyond missed sales opportunities, these data silos create operational inefficiencies that further drain resources on a daily basis. From hours of weekly manual data entry, to technology redundancy across platforms, the true cost of disconnected systems contribute to more bottle necks than obvious revenue loss. This section quantifies what fragmented data was costing our group.
Section 3 - Solution Architecture That Actually Works:
Not all integrations are created equal, We'll break down the technical architecture that successfully unified CDK, DriveCentric, and real-time customer touchpoints use AWS, curated scripts, and Segment CDP. This is the system design that was successful for Sport Automotive Group.
Section 4 - Real-World Implementation:
6 Months, $3,000/month budget, and team of one. This section illustrates the actual implementation journey including 3rd party partner involvement (CDK Data Your Way), technical challenges (inconsistent data format), and practical solutions that worked. You'll get honest assessments of what went wrong and how it was fixed.
Section 5 - Measurable Business Impact:
Examine the specific business impact to marketing, data processing, customer acquisition costs and more importantly, you'll see the data scoring methodology that proves the system works for our initial targets.
Section 6 - The Path Forward:
The auto industry is at a point where customer data capabilities will determine operational efficiency, competitive advantage, and internal data quality. Review the upcoming opportunities in AI, predictive analytics, and what our group can do today to position for tomorrow's data-driven opportunities.
Download Your Copy Here
https://drive.google.com/uc?export=download&id=1nJEOSz5Y3MgFJyY33fU7hRdXKY31dPAd
This whitepaper represent real implementation, not vendor marketing. Every metric, challenge, and solution comes from the actual deployment at our 4-rooftop dealership group.