Implement, optimize, & maintain your Marketing Cloud Intelligence (Datorama) environment with specialists who know the platform, from data ingestion and harmonization to attribution, dashboards and AI-powered activation.
“We’re pulling data from six platforms and building reports manually in spreadsheets every week.”
“We spend more time cleaning data than actually using it.”
“Leadership wants cross-channel ROI but our tools don’t talk to each other.”
“We have the data. We just can’t see it fast enough to change anything.”
Realize the full potential of MCI with Decision Foundry's agile, outcome-driven implementation approach. Our service partnerships span across the full MCI lifecycle: from strategy and architecture to adoption, and uncovering advanced intelligence.
We bring together every marketing touchpoint - paid media, email, CRM, web analytics, and offline data into a single data and decision-ready environment. You benefit with harmonized campaign data, consistent KPIs, and a single source of truth for reporting and optimization.
Our data experts configure MCI using Einstein AI and Agentforce to automate ingestion, normalization and enrichment. Detect anomalies, enrich datasets, and receive AI recommendations for optimization. Free up your team to focus on strategy and performance.
We customize data models, naming rules, calculated metrics, and dashboards around how your teams work. Whether you need different reporting for each agency client, consistent measurement across brands, or calculations built around your business goals, we build those requirements into your setup.
Move from time-lagged reports to always-on intelligence. Use automated dashboards, AI-summarized insights and alerts to surface trends, anomalies and opportunities as they emerge.
Enable built-in multi-touch attribution, unified spend reporting and end-to-end visibility that ties marketing activity to business outcomes. Optimize budgets and improve ROI with confidence.
When native connectors aren’t enough, we extend MCI with custom pipelines and enriched datasets, ensuring your intelligence reflects the full marketing ecosystem, not partial views.
Speak with a certified Marketing Cloud Intelligence architect.
We audit your current data sources, reporting workflows, and business questions. We identify gaps and define what success looks like.
We design your data model, connector map, and workspace structure before we touch the platform. This prevents rework later.
We build the connections, harmonize the data, and configure the platform. Parallel testing runs alongside your existing reporting until you’re confident in the new setup.
We deliver the dashboards and reports agreed in discovery, reviewed with your team before go-live.
We train the people who will own the platform day-to-day. Role-specific sessions for analysts, ops managers, and leadership.
Post-launch, we offer managed services, quarterly reviews, and optimization sprints as your marketing mix and business priorities evolve.
Connect. Standardize. Analyze. Act.
Connection methods, refresh frequency and available actions depend on your sources and MCI configuration.
If your team still calls it Datorama, you’re talking about Salesforce Marketing Cloud Intelligence. The name changed, but the central purpose remains: bringing fragmented marketing data together so teams can measure performance across channels.
The bigger question is whether your current environment still supports the way you work. New channels, changing campaign structures, and evolving reporting requirements can leave older implementations struggling to keep up.
Decision Foundry helps you review your existing setup, identify what needs attention, and decide whether to optimize MCI or evaluate a different platform.
Choosing a platform starts with understanding the job you need it to do.
| Tool | Primary focus | When to consider it |
|---|---|---|
| Marketing Cloud Intelligence (MCI) | Marketing data integration, harmonization, and cross-channel reporting | You need a consistent reporting foundation across a complex marketing stack |
| Salesforce Marketing Intelligence (MI) | Salesforce’s newer native marketing analytics product | You’re evaluating its semantic model, Tableau Next visualizations, and agent capabilities |
| Tableau | Data exploration and visualization | You need flexible analysis across marketing and other business functions |
| Power BI | Business analytics, data modeling, and reporting | You want reporting across multiple departments and business systems |
| GA4 | Website and app behavior, key events, and attribution | You need to understand digital journeys and acquisition performance |
These tools can also work together. For example, MCI can supply harmonized marketing data to Tableau rather than replace it.
We help you assess your data sources, reporting requirements, internal skills, and ongoing maintenance needs before recommending a platform.
Every client has different platforms, campaign structures, and reporting expectations. Rebuilding the entire reporting process for each account makes growth harder than it needs to be.
We help marketing agencies onboard customers seamlessly, build reusable data models, shared KPI definitions, and dashboard templates, with room for client-specific requirements.
Give account teams a consistent reporting foundation, control access to client data, and make onboarding the next account more manageable.
Marketing Cloud Intelligence touches multiple roles. The people who feel the impact most directly:
Get reliable cross-channel ROI without waiting for the analytics team to pull reports
Eliminate manual data wrangling and maintain a single source of truth
See spend, impressions, clicks, and conversions from all paid channels in one place
Compare channel efficiency and shift budget based on actual performance data
Spend time on analysis instead of data cleaning and reformatting
Align marketing data with pipeline and sales metrics for a complete funnel view
We hold active Salesforce certifications across Marketing Cloud products. That means direct access to Salesforce support, product roadmap updates, and implementation best practices.
A lot of partners activate the platform and hand it back. We stay involved through data modeling, dashboard build-out, training, and managed services until your team is fully operational.
Marketing Cloud Intelligence is only as good as what you put into it. Our data engineering team has connected data sources across clients, including paid media APIs, CRM systems, data warehouses, and custom feeds.
Everything we build, we document. Your team understands the logic behind every metric, every model, and every automated report. You own the output.
We follow Salesforce’s security framework and apply data governance standards throughout every engagement. Role-based access, data lineage, and audit trails are built in, not bolted on.
Watch
A closer look at how Salesforce Marketing Cloud Intelligence stacks up against the other tools teams consider, and where each one actually fits.
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Common Questions
Yes. Salesforce renamed Datorama to Marketing Cloud Intelligence, or MCI. If your team still calls it Datorama, you’re referring to the same platform. It brings marketing data together, standardizes it, and helps you report on performance across channels.
Each platform serves a different purpose:
They can also work together. For example, you can organize your marketing data in MCI and use Tableau for further analysis and reporting.
MCI supports a wide range of advertising, analytics, and business data sources through pre-built connectors. These include platforms such as Google Ads, Meta, and LinkedIn.
For sources without a suitable connector, file uploads and custom integrations can bring the data into MCI. We review your platforms and reporting needs to determine the best connection method for each source.
Often, the challenge is the data rather than the platform. Campaign names vary between channels, teams define the same KPI differently, or dashboards are built before the reporting rules are agreed.
We address these issues early by reviewing naming conventions, mapping rules, and metric definitions before building dashboards.
The timeline depends on how many sources you need to connect, the condition of your data, and the reports you want to build.
We usually work in phases: connect and validate the data first, then build dashboards and train your team. After discovery, we provide a timeline based on your scope.
Yes, when marketing data can be connected reliably to sales and revenue data.
Combining campaign spend with CRM leads, opportunities, and closed deals can help you measure cost per opportunity, attributed pipeline, and return on ad spend. The accuracy depends on your tracking, data quality, and attribution rules. We help define those rules so your team understands what the numbers show.
