Adverity combines data ingestion, transformation, and reporting in one platform with native AI built in for harmonization and analysis, not bolted on after the fact.
Decision Foundry implements Adverity by connecting your data sources, building the harmonization layer, configuring dashboards and AI-assisted workflows, and staying on as your ongoing delivery partner.
Data volumes are growing and legacy platforms charge more the bigger you get.
Teams want AI embedded in their analytics workflow, not retrofitted as an add-on.
Manual harmonization and one-off SQL work is eating hours that should go to analysis.
Clients expect real-time dashboards and automated reporting, not static exports.
Past platform choices have created lock-in. Any change means a rebuild from scratch.
Many teams are evaluating a move off MCI (or another legacy platform) and need a modern alternative that doesn't recreate the same problems.
An honest evaluation of whether Adverity is the right fit for your data volume, sources, and reporting needs before any build begins.
End-to-end setup: source authentication, API management, and pipeline configuration across every platform you report on.
Standardized naming conventions and taxonomies, built with Adverity's AI-assisted transformation tools so metrics roll up consistently.
Setup of Adverity's built-in AI features, including Data Conversations for plain-language querying and automated anomaly alerts.
Internal and client-facing dashboards, with every number validated against source data before launch.
Full documentation and hands-on training so your team owns the platform with confidence from day one.
Implementation is only the beginning. As your business changes, new data sources, APIs, campaigns, metrics, and reporting requirements will emerge. Our ongoing management services help keep your Adverity environment accurate, optimized, and aligned with those changes.
Book a Free Adverity AssessmentUnderstand your existing systems, data landscape, and business goals to define the right solution.
Design how data will flow between platforms and determine the structure of your reporting and analytics environment.
Establish secure connections to the systems and platforms that contain your business data.
Clean, organize, and align data from different sources so your teams can work with consistent metrics.
Create intuitive dashboards and reports that turn your data into actionable insights, while checking results for accuracy.
Introduce AI-powered capabilities, notifications, and automated workflows to streamline everyday processes.
Prepare your team with training and documentation, then provide support as the solution moves into production.
Adverity is particularly useful for organizations managing multiple marketing data sources, complex reporting requirements, and growing volumes of data.
If your team spends too much time pulling data from advertising, CRM, web analytics, and other platforms before analysis can even begin, Adverity can provide a centralized environment for bringing that information together.
Agencies managing reporting for multiple clients can use Adverity to create repeatable data pipelines, standardize metrics, and deliver dashboards without rebuilding the same processes for every account.
Teams moving away from MCI, Datorama, or other legacy marketing data environments can use Adverity as an opportunity to modernize their architecture rather than simply recreating an existing setup on a new platform.
For organizations with custom metrics, non-standard data sources, or evolving reporting requirements, Adverity's flexibility can provide more control over how data is transformed and harmonized.
The strongest fit is generally an organization that wants more flexibility and automation without sacrificing control over how its marketing data is structured and reported.
We believe in a vendor-neutral assessment, so here's the honest comparison: Adverity is a strong option for organizations looking for flexible connectors, AI-assisted harmonization, and an analytics environment that can adapt to custom reporting requirements.
Compared with platforms such as MCI, which can provide more rigid, pre-built data models, Adverity gives teams greater control over how their data is structured. That flexibility can be valuable when you have custom metrics, unusual sources, or reporting requirements that don't fit neatly into a predefined model.
But flexibility also creates responsibility. The quality of your harmonization rules, taxonomy, transformations, and data architecture directly affects the quality of your reporting.
That's why implementation matters.
A poorly structured environment can create inconsistent metrics, confusing dashboards, and unreliable analysis regardless of how capable the underlying platform is. Our role is to make sure the foundation is designed correctly before those problems reach your reporting and decision-making processes.
We're hands-on with the platform today, not working from outdated documentation.
Years of experience with MCI, Datorama, and other legacy marketing data platforms means we know exactly what a migration or first-time build needs to get right.
Harmonization and taxonomy design are where implementations succeed or fail, and it's where we focus first.
We'll tell you honestly if Adverity isn't the right fit for your situation, backed by 20 years of marketing data delivery experience.
Whether you're migrating from MCI, replacing another legacy platform, or building a modern marketing analytics environment for the first time, the right starting point is understanding your current data landscape..
We'll review your sources, reporting requirements, existing architecture, and implementation needs to help you determine what Adverity could look like in your environment and what it will take to get there.
Book a Free Adverity AssessmentFor many marketing teams and agencies, Adverity can provide an alternative environment for data ingestion, harmonization, and reporting. The right approach depends on your existing architecture, data sources, reporting requirements, and migration goals.
Adverity's AI capabilities can assist with data transformation and harmonization and provide conversational access to data through features such as Data Conversations. This can help users explore information without relying on technical teams for every query.
Pricing depends on your specific package, connectors, and data requirements. During an assessment, we can help you understand the likely cost structure based on your environment rather than making a generic comparison.
Historical data can be incorporated into the migration process. We validate data against source systems to help ensure historical reporting remains accurate and consistent.
Not necessarily. Day-to-day requirements such as adding sources, adapting to API changes, or updating reporting logic can often be managed through an ongoing support and optimization engagement.
There is no single timeline. Implementation depends on the number and complexity of your data sources, historical data requirements, harmonization needs, dashboards, and automation workflows. A discovery assessment provides a clearer estimate for your specific environment.