Unify Your Marketing Data. Stop Guessing. Start Optimizing.
Marketing Data Integration & Centralization
Centralize data from an average of 15+ martech tools into a single source of truth—so your team can answer any question in minutes, not days.
Photo by Conny Schneider on Unsplash
Your marketing data shouldn't live in 15 different tools. When every channel has its own reporting silo, calculating cross-channel metrics like ROAS becomes a multi-day spreadsheet exercise—and the insights you need are always two weeks old.
DiveTeam's Data Integration service brings all your marketing data together in one place. We build a centralized data warehouse that connects your analytics platforms, ad channels, CRM, CDP, and business intelligence tools—refreshed daily and designed specifically for how marketing teams work.
This isn't IT infrastructure for its own sake. It's the foundation that makes real-time optimization possible.
$12.9M
Source: Gartner - Average annual cost of poor data quality
The Hidden Cost of Fragmented Marketing Data
Every enterprise marketing team we meet has the same story: data spread across too many tools, reports that take too long to build, and decisions made on gut instinct because cross-channel analysis is too painful to pull together.
Manual ROAS Calculations
Calculating ROAS across channels requires days of manual spreadsheet work. By the time you have the numbers, the optimization window has passed.
Conflicting Metrics
Different tools report different numbers for the same metrics. Your team spends more time debating whose data is right than actually optimizing.
Analysts Stuck Wrangling Data
Your analysts spend 40% of their time wrangling data instead of analyzing it. Monthly reporting is a fire drill that consumes your team.
Delayed Stakeholder Responses
You can't answer the board's questions without a week of lead time. While your team reconciles spreadsheets, competitors with unified data are optimizing in real-time.
How We Unify Your Marketing Data
DiveTeam uses a custom tool that we have developed internally to rapidly deploy marketing data infrastructure that works the way your team thinks—organized around campaigns, channels, and outcomes rather than tool-specific schemas. We handle the technical complexity so you get actionable cross-channel insights.
Phase 1: Data Audit & Architecture
Before we build anything, we document what you have. Our senior consultants map your current data landscape—every martech tool, every data source, every integration point—and identify gaps, redundancies, and quality issues.
Deliverables
- Complete inventory of your martech data sources
- Data quality assessment with prioritized issues
- Integration architecture blueprint
- Timeline and implementation roadmap
Outcome
A clear picture of your current state and a detailed plan for building your unified data foundation.
Phase 2: Cloud Environment Setup
We establish a secure, scalable cloud foundation for your marketing data. As a certified Google Cloud Partner, we typically implement on Google Cloud Platform with BigQuery as the data warehouse—but we design for your existing infrastructure and preferences.
Deliverables
- Secure cloud environment with proper access controls
- Data warehouse optimized for marketing analytics workloads
- Data governance and privacy compliance settings
- Cost optimization to keep cloud spend predictable
Outcome
An enterprise-grade cloud foundation ready to receive data from all your marketing tools.
Phase 3: Data Pipeline Implementation
This is where fragmentation ends. We build automated pipelines that extract data from every martech tool in your stack, transform it into consistent formats, and load it into your central warehouse—refreshed daily.
Deliverables
- Automated data pipelines from all key platforms (GA4, Adobe Analytics, Google Ads, Meta, CRM, etc.)
- Consistent data transformations and naming conventions
- Daily refresh schedules with monitoring
- Custom integrations for proprietary or niche tools
Outcome
All your marketing data flowing automatically into one place with consistent definitions.
Phase 4: Business Intelligence Integration
Data in a warehouse isn't useful until it's accessible. We connect your unified data to your business intelligence tool of choice and build the foundational dashboards your team needs.
Deliverables
- BI tool connection and configuration (Looker, Tableau, Power BI, or your existing platform)
- Cross-channel performance dashboards
- Custom report templates for common analyses
- Team training on self-serve reporting
Outcome
Your team can answer cross-channel questions in minutes using intuitive dashboards.
Phase 5: Monitoring & Documentation
We don't implement and disappear. We establish monitoring systems to catch data quality issues before they reach your reports, and we document everything so your team (or ours, on an ongoing basis) can maintain the system confidently.
Deliverables
- Automated data quality alerts
- Pipeline monitoring and failure notifications
- Complete technical documentation
- Knowledge transfer to your internal team
Outcome
A self-sustaining system with the monitoring and documentation needed for long-term success.
Is Data Integration Right for You?
This service is designed for enterprise marketing teams who:
Ideal Fit
Have significant martech investment but limited visibility
Your stack includes 10+ tools across analytics, advertising, CRM, and automation. You've invested in good technology but can't see the full picture it should reveal.
Need faster access to accurate data
Monthly reporting takes days of analyst time. You can't answer stakeholder questions without significant lead time. Different teams report different numbers for the same metrics.
Are preparing for AI and advanced analytics
You want to leverage AI for marketing optimization but your data isn't ready. You need clean, unified data to train models or implement predictive analytics.
Have tried point solutions that didn't solve the problem
You've implemented BI tools but they only see part of your data. You've asked IT for help but marketing-specific requirements got lost in translation.
May Not Be the Right Fit
Typical Company Profile
Company Size
$50M+ annual revenue (typically $500M to $5B)
Team Size
Marketing team of 5-50+ people
Industries
Healthcare, Financial Services, Retail, Higher Ed, B2B Tech, Nonprofit
Situation
You have a martech stack in place with 10+ significant tools, but pulling together cross-channel analysis requires manual data exports and spreadsheet manipulation.
What Changes After Integration
When all your marketing data lives in one place, everything changes:
From Days to Minutes
Cross-channel performance questions that used to require days of spreadsheet work become real-time dashboard views. Answer "How's the campaign performing across channels?" in the time it takes to open a browser tab.
From Guessing to Knowing
When all your data lives in one place with consistent definitions, you stop debating whose numbers are right. Marketing, finance, and leadership all work from the same source of truth.
From Reporting to Optimizing
When your analysts aren't spending 40% of their time wrangling data, they can spend that time finding insights and improving performance. Data integration shifts your team from reactive reporting to proactive optimization.
From Data Debt to AI-Readiness
Clean, unified data is the foundation for everything that comes next—whether that's advanced attribution modeling, predictive analytics, or AI-powered optimization. Companies with unified data achieve 2-3x higher marketing ROI.
Typical Results Our Clients See
Ready to Unify Your Marketing Data?
Stop guessing. Start with a conversation.
In a 30-minute discovery call, we'll discuss your current data landscape, identify your biggest integration challenges, and outline what a unified approach could look like for your team.
No sales pitch. No pressure. Just an honest conversation about your situation and whether DiveTeam is the right fit.
Common Questions About Data Integration
Most projects take about 2-3 months from kickoff to full implementation. The timeline depends on the number of data sources, complexity of your existing infrastructure, and depth of BI integration required. We'll provide a detailed timeline after our initial discovery conversation.
Data integration projects typically range from $75,000 to $200,000 depending on scope and complexity. We provide fixed-fee pricing for defined projects, so you know exactly what you're investing before we begin.
Not necessarily. While many Google products integrate directly with Google Cloud, we can work with your existing cloud infrastructure—including AWS, Azure, or Snowflake. We design for your environment, not ours.
You have options. Many clients add an ongoing retainer so we can monitor data quality, maintain pipelines, and evolve the system as your needs change. Others prefer to bring the system in-house with a complete knowledge transfer. We support either approach.
Technical capability isn't the issue—expertise is. Your IT team can certainly build data pipelines. But marketing data integration requires deep understanding of marketing metrics, attribution models, campaign structures, and how marketing teams actually use data. We've done this many times; your IT team would be learning as they go.
Yes. Some clients begin with a focused integration—connecting their core analytics and advertising platforms—and expand to additional sources over time. We design architectures that scale, so adding data sources later doesn't require rebuilding the foundation.
That's common. BI tools are only as good as the data feeding them. Often the problem isn't the BI platform—it's the lack of a unified data layer underneath. We can work with your existing BI tool and give it access to properly integrated, high-quality data.
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