Enterprise analytics has matured in stages from static reports to interactive dashboards, business insights, and predictive analytics. Each stage has brought leaders closer to answers of some sort, but they’re often still waiting for someone to ask the right question.
Organizations are now moving quickly to decision intelligence by having AI-powered analytics identify opportunities, risks, and recommended actions. Teams stuck in earlier stages continue to only be able to react to results after the fact.
Reports
Static views of what already happened.
Interactive Dashboards
Filters and drilldowns that let users explore results on their own.
Business Insights
Trends and patterns that explain why performance changed.
Predictive Analytics
Forecasts of what's likely to happen next.
AI-Powered Decision Intelligence
Proactive alerts, root causes, and recommended next steps for your people to act on.
The analytics behind your organization’s decisions need to be fast, governed, and trusted. Marlabs combines enterprise Tableau expertise, AI innovation, and proven delivery methods to modernize analytics and bring business value sooner. Our teams cover the full journey: strategy, governance, optimization, AI enablement, and long-term platform management.

Enterprise Analytics
Executive and operational reporting, key performance indicator (KPI) strategy, and self-service analytics give your leaders trusted decision support.
AI-Powered Insights
Tableau Next, Tableau Pulse, Agentforce, and natural language analytics bring AI into everyday analysis.
Accelerated Delivery
Proven delivery frameworks, reusable accelerators, and modern architecture shorten your time to value.
Enterprise Adoption
Governance, a Center of Excellence (CoE), user enablement, and managed services support adoption long after launch.
Three steps following the ABC framework of Marlabs AgilityAI, applied to Tableau and delivered through eight stages. Our enterprise delivery framework balances speed, governance, quality, and adoption to reduce implementation risk and bring value sooner.
1
Align on business objectives
Start with an assessment of your goals and current Tableau environment. Marlabs then designs the platform and governance strategy around what you need to achieve.
2
Build and enable AI
Agile development and data engineering produce your dashboards and data models, and quality assurance and performance tuning validate each release. Your teams then adopt Tableau Pulse, Tableau Next, and Agentforce.
3
Control, govern, and optimize deployment
Production rollout includes knowledge transfer to your team. Security standards, certification, and continuous tuning keep the platform performing as use grows.
Business objectives and current-state assessment
Platform design and governance strategy
Agile development and data engineering
Quality assurance and performance optimization
Tableau Pulse, Tableau Next, and Agentforce adoption
Production rollout and knowledge transfer
Security, standards, and certification
Continuous enhancement and tuning
Talk to an expert
Each service covers a stage of your Tableau program from the first roadmap to long-term platform management.
Roadmaps, assessments, and CoE development
Tableau Cloud, Tableau Server, security, and scalability
Dashboard development, data modeling, Tableau Prep, and APIs
Metadata, certification, and row-level security
Performance tuning, monitoring, and automation
Tableau Next, Tableau Pulse, and Agentforce integration
Training, community enablement, and office hours
Production support, administration, and enhancements
Modern analytics platforms connect trusted enterprise data to AI-powered experiences, which gives people across your organization secure, scalable, and actionable insight. Marlabs designs each layer so that the AI your users see draws on certified, governed data underneath.
Business Users
Consumers across your organization act on insight from dashboards, alerts, and conversational analytics.
AI Layer
Tableau Pulse, Tableau Next, and Agentforce add metric monitoring, conversational analytics, and recommended actions.
Platform
Tableau Cloud and Tableau Server run the analytics platform with enterprise security in place.
Semantics and Governance
A governed semantic layer and certified data give every dashboard and AI experience consistent, trusted definitions.
Data
Snowflake, Databricks, SQL Server, Oracle, and SAP hold the enterprise data that feeds the platform.
Sources
Enterprise resource planning (ERP), customer relationship management (CRM), manufacturing, finance, Internet of Things (IoT), and external data flow in from across the business.






Tableau Pulse monitors the metrics that matter to each person. Tableau Next adds agentic analytics with semantic understanding and conversational experiences, and Agentforce agents analyze data and recommend actions for your people to approve. Anyone can ask a question in business terms.

Sales Executive
You need to understand why your pipeline changed. Tableau Next identifies the root causes and recommends actions for your team to take.

Plant Manager
You need to keep production performance on target. Tableau Pulse alerts you before a KPI is missed so that you can step in early.

Finance Leader
You need to explain financial performance to the executive team. AI drafts executive summaries that highlight trends and risks for your review.

Operations Leader
You need to decide what deserves attention each day. AI surfaces operational issues and recommended next steps so that your team acts on priorities first.
Our enterprise client made its dashboards 40% faster by tuning SAP HANA queries and streamlining workbooks. Load times dropped to 30-45 seconds.
Our life sciences client tracked patients across 41+ treatment centers in one governed data model and spotted bottlenecks sooner through privacy-compliant KPI reporting.
Analysts cut manual analysis time with an interactive view of price and cost variance by region, product, and business unit.
Leaders drill into results by plant, destination, business unit, and product group from one dashboard integrated with Google Cloud Platform (GCP).
Service teams track response sentiment, reopen rate, backlog, and resolution time on dedicated KPI dashboards and make faster, data-driven decisions.
A team needed a three-level flow visualization its older Tableau version didn't support. Linked source, flow, and target sheets produced a result that exceeded the client's expectations.
What does the Marlabs enterprise Tableau and AI practice do?
The Marlabs enterprise Tableau and AI practice helps organizations modernize Tableau and move toward AI-powered decision intelligence. Its services cover strategy, architecture, engineering, governance, optimization, AI enablement, adoption, and managed services.
How do Tableau Pulse, Tableau Next, and Agentforce work together?
Tableau Pulse monitors personalized metrics and alerts users before KPIs are missed. Tableau Next provides agentic analytics with semantic understanding and conversational experiences. Agentforce agents analyze data and recommend actions, and Marlabs integrates all three into your governed Tableau environment.
Which data platforms can Tableau connect to?
Marlabs architectures connect Tableau to Snowflake, Databricks, SQL Server, Oracle, and SAP, drawing on ERP, CRM, manufacturing, finance, IoT, and external data. A semantic layer and certified data keep insight consistent across Tableau Cloud, Tableau Server, or a hybrid deployment.
Can you speed up our existing Tableau dashboards?
Performance tuning is a core service. In one engagement, tuning SAP HANA queries and removing redundant fields, filters, and calculations made dashboards 40% faster and brought load times down to 30-45 seconds.
What support is available after go-live?
Managed services cover production support, administration, and enhancements. A CoE, training, community enablement, and office hours help your teams keep building on the platform, and continuous tuning keeps it performing as use grows.
Your leaders can act on proactive insight and intelligent recommendations instead of waiting on manual analysis that arrives after the moment to act has passed.
Not ready to talk yet? In the meantime, read how a global agribusiness and food company cut its contracting cycle from 60 days to 15 days with a unified quoting platform, pricing analytics, and negotiation dashboards with Tableau.