Data Warehousing Services
Data warehousing consolidates marketing, analytics, sales, and business data from multiple platforms into a single centralized data store, enabling advanced reporting, cross-channel analysis, and historical data retention that individual platforms can’t provide on their own.
Every marketing and business tool your company uses generates its own data, in its own format, on its own retention schedule. GA4, your CRM, ad platforms, email marketing software, none of them were built to talk to each other. Right Now Marketing Group Inc. builds data warehousing solutions that bring it all together, so your reporting reflects the full picture instead of whatever a single platform happens to show you.
The Problem With Siloed Data
Individual platforms are good at doing one thing: GA4 tracks website behavior, your CRM tracks customer relationships, your ad platforms track campaign performance. The problem is that none of them can answer the questions that span multiple systems, like which marketing channels actually drove the highest-value customers over the past two years, or how AI-referred traffic converts compared to organic search once it reaches your sales pipeline. Those answers require combining data sources, and most platforms simply weren’t built for that.
What Data Warehousing Solves
A data warehouse is a centralized repository that pulls raw data from all your disparate systems into one place, structured in a way that supports advanced querying, custom reporting, and analysis that no individual platform can produce alone. It also solves a quieter, equally important problem: data retention. GA4, for example, has default data retention limits on certain reporting data. A data warehouse retains your raw data indefinitely, giving you the ability to look at true long-term trends rather than losing historical granularity after a matter of months.
Our Approach
We start with an audit of your current data sources, mapping out what data lives where, how it’s structured, and what business questions you actually need it to answer. From there, we design a warehouse architecture and select a platform suited to your data volume, technical environment, and budget, commonly leveraging solutions like Google BigQuery for its native integration with GA4, alongside other tools depending on your specific stack. We then build the automated data pipelines that keep your warehouse continuously updated, so you’re never working from stale exports.
Built for Real Reporting, Not Just Storage
A data warehouse on its own is just a database. The value comes from what you build on top of it: custom dashboards and reports that combine channels, attribute revenue accurately across touchpoints, and give your team a single source of truth instead of five disconnected ones. We work with clients to build that reporting layer, connecting tools like Looker Studio or other BI platforms directly to the warehouse, so the investment in centralizing your data actually translates into better decisions.
Not Just for Enterprise
Data warehousing has a reputation as an enterprise-only solution, but that’s increasingly outdated. Any growing business juggling several disconnected data sources, and finding that no single platform gives them the full picture, stands to benefit. We scope these projects to fit the business, not the other way around, so the investment matches the actual complexity of your data environment.
Ongoing Maintenance
Data pipelines break. APIs change, platforms update their data schemas, and integrations that worked fine last quarter can silently start failing. For clients on ongoing engagements, we monitor pipeline health and make the updates needed to keep your warehouse accurate and current, so you’re not the one discovering a broken data feed three months after the fact.
Why RNMG
Right Now Marketing Group Inc. has spent 18+ years, since 2008, helping Michigan businesses turn scattered data into decisions they can trust. Our work across 30+ clients and a 99% client satisfaction rate reflect a practical approach to data infrastructure: build what the business actually needs, not what looks impressive on a slide. We operate on a six-month verbal commitment with no long-term contracts and performance-based pricing, so the relationship continues because the reporting keeps proving its value.
A Single Source of Truth for AI-Driven Traffic
As AI search platforms fragment where your traffic and conversions originate, no single tool tells the whole story anymore. A data warehouse pulls GA4, ad platform data, CRM records, and AI-referral tracking into one place, letting you build reporting that shows exactly how much revenue is influenced by AEO and GEO work alongside every other channel, using a consistent, unified view instead of switching between five dashboards. It also solves a growing problem: GA4’s default data retention windows are limited, while a data warehouse retains your raw data indefinitely, so you can measure how AI search visibility trends over the long term rather than losing that history after a matter of months.
What’s Included
- Data source audit and integration mapping
- Warehouse architecture design and platform selection
- Automated data pipeline setup (GA4, CRM, ad platforms, and more)
- Historical data retention beyond default platform limits
- Custom cross-platform reporting and dashboard connections
- Ongoing pipeline monitoring and maintenance
Get Started
(248) 939-6232
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Frequently Asked Questions
What is a data warehouse, in simple terms?
It’s a centralized database that pulls in data from all your different tools, like GA4, your CRM, ad platforms, and more, so you can analyze and report on everything together instead of jumping between separate systems that don’t talk to each other.
Do I need a data warehouse if I already use GA4 and a CRM?
If those tools meet your needs and you don’t need cross-platform reporting or long-term historical retention, you may not. A data warehouse becomes valuable when you need to combine data sources, retain data longer than individual platforms allow, or build reporting that no single tool can produce on its own.
What platforms do you use for data warehousing?
We select the platform based on your existing tech stack, data volume, and budget, which may include options like Google BigQuery, given its native integration with GA4, among other solutions depending on your specific setup.
Is this only for large enterprises?
No. While data warehousing is common at the enterprise level, growing businesses with several disconnected data sources often benefit significantly from centralizing that data, even at a smaller scale.
How is this different from just exporting reports from each platform?
Manually exporting and combining reports is time-consuming, error-prone, and doesn’t scale. A data warehouse automates the data flow and keeps everything current and queryable in one place, without manual reconciliation every time you need a report.
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