DATA POEM

What Is DATA POEM?

DATA POEM is an Enterprise Decision AI platform that helps organizations understand what drives business growth. Its POEM365 platform uses the FOUNT large causal architecture to connect business data within one causal system. It supports revenue forecasting, growth planning, marketing planning, media optimization, and campaign execution across different time horizons. The platform gives teams a unified view of internal and external growth drivers, helping them plan and optimize using the same underlying model.

What Is DATA POEM Best For?

DATA POEM stands out for its “Insights Agent,” which helps teams understand what is driving revenue performance. It breaks down changes across pricing, volume, acquisition, retention, channels, campaigns, and tactics. The agent also measures the causal impact of investments. This gives teams a clearer view of the factors affecting results and helps them trace performance changes back to specific business drivers.

How Much Does DATA POEM Cost?

DATA POEM pricing ranges between $200,000-$750,000+/year. This range is intended for general budgeting, as the actual cost might vary based on custom needs and other factors.

In addition to the estimated platform cost, organizations may need to account for other potential expenses, such as:

• Implementation And Model Calibration: $75,000-$300,000+ (one-time, often bundled into year-one fees)
• Custom Integrations: $10,000-$50,000+
• Ongoing Services (Model Refreshes, Added Brands or Markets, Support): $25,000-$150,000+/year, depending on scope

Disclaimer: Pricing references are based on publicly available third-party information and industry benchmarks. Actual costs may vary.

DATA POEM Integrations

The software supports integration with multiple systems and platforms, such as:

• Snowflake
• BigQuery
• Databricks

How Does DATA POEM Work?

Here's how you can get started with the software:

• Connect data from Snowflake, BigQuery, or Databricks via read-only access, then profile, clean, and validate it
• Calibrate the pre-trained model to your brand, category, and market using your own business data
• Test model results against historical data, then deploy and onboard users to a natural-language interface
• Explore growth drivers in one causal view, drilling from enterprise level to brand, region, or tactic
• Plan and forecast by testing scenarios and allocating investment across annual, quarterly, and monthly plans
• Optimize marketing by reallocating spend across channels and campaigns as monthly results come in
• Refresh the model as new data arrives to recalibrate forecasts, plans, and allocations

Who Is DATA POEM For?

DATA POEM is ideal for a wide range of industries and sectors, including:

• Automotive
• Consumer Goods (CPG)
• Retail
• E-commerce

DATA POEM Use Cases

Based on our analysis of DATA POEM features, we have identified the following key scenarios where it is a good fit:

Automotive Companies Unsure Whether A New Vehicle Launch Is Creating Growth

A new vehicle launch can look successful even when it is simply taking sales from another model in the same lineup. DATA POEM addresses this by analyzing the full portfolio across markets, channels, and vehicle lines in one model. Even automotive customers with multiple vehicle lines can use the platform to connect parts of its revenue ecosystem that its previous analytics stack could not. This makes it useful when automotive teams need to separate incremental sales from cannibalization.

Consumer Goods Teams Working From Different Forecasts

Large CPG businesses often have finance, marketing, and commercial teams working from separate models. In this regard, DATA POEM helps move its measurement process from reporting toward forecasting and optimization, with forecasts becoming shared KPIs across the business. This makes the platform relevant for companies trying to reduce disagreement between planning functions and work from the same forecast.

Brands Deciding Where Large Growth Budgets Should Go

When a company is investing across media, trade, pricing, distribution, and other growth levers, looking at each area separately can hide how those decisions affect one another. To address this concern, this platform shows which investments and actions are more likely to drive returns across businesses. For teams managing large brand portfolios, this makes investment planning less dependent on disconnected reports and individual channel measurements.

Retailers Comparing Performance Across Stores And Media Channels

Retail teams may receive different performance numbers from stores, e-commerce channels, Amazon Ads, Walmart Connect, and other retail media platforms. DATA POEM evaluates these channels within one causal model rather than relying on each platform’s own measurement. Its retail positioning also covers store performance, expansion planning, inventory, and market share. This way, retailers can compare investment choices on the same basis instead of treating each channel as a separate source of truth.

Enterprises Replacing Fragmented Planning With One Shared Model

Some organizations are less concerned with one department and more with the fact that the whole business plans from different assumptions. That’s why the software replaces disconnected analytics with its unified planning approach for major decisions. For enterprises with several brands and business units, this creates a practical use case for bringing revenue, marketing, and planning decisions into one common framework.

Is DATA POEM Right For You?

DATA POEM may be a practical choice if your enterprise wants to base planning and growth decisions on a unified causal view. It can be particularly relevant for organizations looking to use decision AI as part of a broader move toward AI-supported analytics and more explainable decision-making.

It also supports enterprise data security with AES-256 encryption at rest, TLS 1.3 in transit, regional data controls, and granular access permissions. This may suit organizations that prioritize both causal decision-making and data governance.

Still doubtful if DATA POEM software is the right fit for you? Reach out to us at (661) 384-7070, and we’ll help you make the right choice.