
Where People, Processes, & Technology Realign
Operational friction rarely starts with one system. It happens when data, workflows, and applications are not aligned. Our solutions connect each layer to a clear business purpose, so your technology delivers greater value.
Application Solutions
Salesforce Consulting
Purpose-built Salesforce environments that reflect how teams sell, serve, collaborate, and take action, helping applications support business operations rather than dictate them.
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Industry Systems Consulting
We develop and integrate industry-specific core systems within broader SaaS and technology environments.
Technology Solutions
Data Architecture & Consulting
Data consulting focused on understanding what information exists, where it lives, and what depends on it before modernization, migration, and AI initiatives begin.
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Emerging Technology Consulting
Practical technology recommendations focused on the applications, services, and investments best suited for teams’ needs and the broader technology environment.
Platform Solutions
Adept
Unify lineage, governance, architecture modeling, and migration planning into one metadata intelligence platform built for superior data ecosystems.
How We Work
Better outcomes start with understanding where you are today. We’re collaborative, not prescriptive; we stay grounded in business realities and focus on long-term success over short-term goals.
Assess & Design
Assess your team's data, workflows, and applications to understand how work gets done and uncover opportunities for practical modernization.
Imagine & Enable
Solutions that adapt to your business goals, enhance capabilities, and reduce operational costs.
Frame & Build
Configure and connect technology environments around your data, workflows, and applications to improve how work gets done across the business.
Run & Maintain
Provide ongoing support and optimization to ensure technology continues delivering value as business needs evolve.
Technologies We Support

Databricks

Informatica

Qlik

Splunk

AWS

Salesforce

Tableau

Mulesoft

Power Platform

Azure

Power Apps

Power BI

Power Virtual Agents

Power Automate

Microsoft Dynamics

Microsoft Fabric

Snowflake

Anthropic

OpenAI

Databricks

Informatica

Qlik

Splunk

AWS

Salesforce

Tableau

Mulesoft

Power Platform

Azure

Power Apps

Power BI

Power Virtual Agents

Power Automate

Microsoft Dynamics

Microsoft Fabric

Snowflake

Anthropic

OpenAI
FAQs
What makes FormativGroup different from traditional consulting firms?
FormativGroup is different from traditional consulting firms because we focus on how data, applications, and dynamic workflows operate together in practice. We deliver technology environments built around practical modernization that hold up against real-world complexities.
How do I know if I have a data problem or a technology problem?
Many organizations assume they have a technology problem when it's really the data. Data is the foundation for workflows, automation, and the technologies built on top. Solving the data problem begins with understanding where it lives, how it moves, and what business processes rely on it.
How do I identify workflow inefficiencies in my organization?
Workflow designs have been prescriptive and static. Inefficiencies in organizations may also appear as manual efforts. This looks like spreadsheet reconciliation, moving data between systems, rekeying, etc. These are signs that your workflows are being dictated by technology limitations, rather than being designed around business outcomes.
How can I reduce or avoid technical debt?
Organizations can reduce or avoid technical debt by identifying where complexity has accumulated across the business. Technical debt is often the result of incremental decisions made to solve individual problems. Reducing it requires simplifying complexities and maximizing existing technology investments.
How should organizations prepare for AI initiatives?
Organizations should prepare for AI initiatives by first understanding the business outcomes they are trying to achieve. AI is not a strategy on its own. Successful AI initiatives depend on aligned data environments, workflows, and integrated applications that can support the desired outcomes.
