Insights That Stop Short of Intelligence

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.

One Partner for the Complete Tableau Journey

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.

From Assessment to Ongoing Optimization

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.

01 Assess

Business objectives and current-state assessment

02 Architect

Platform design and governance strategy

03 Build

Agile development and data engineering

04 Validate

Quality assurance and performance optimization

05 Enable AI

Tableau Pulse, Tableau Next, and Agentforce adoption

06 Deploy

Production rollout and knowledge transfer

07 Govern

Security, standards, and certification

08 Optimize

Continuous enhancement and tuning

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Services across the Analytics Lifecycle

Each service covers a stage of your Tableau program from the first roadmap to long-term platform management.

Strategy

Roadmaps, assessments, and CoE development

Architecture

Tableau Cloud, Tableau Server, security, and scalability

Engineering

Dashboard development, data modeling, Tableau Prep, and APIs

Governance

Metadata, certification, and row-level security

Optimization

Performance tuning, monitoring, and automation

Artificial Intelligence

Tableau Next, Tableau Pulse, and Agentforce integration

Adoption

Training, community enablement, and office hours

Managed Services

Production support, administration, and enhancements

An Analytics Architecture Built on Trusted Data

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.

Analytics That Recommend the Next Step

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.

Results from Enterprise Tableau Engagements

Faster Dashboards

Our enterprise client made its dashboards 40% faster by tuning SAP HANA queries and streamlining workbooks. Load times dropped to 30-45 seconds.

Patient Journey Visibility

Our life sciences client tracked patients across 41+ treatment centers in one governed data model and spotted bottlenecks sooner through privacy-compliant KPI reporting.

Instant Variance Insight

Analysts cut manual analysis time with an interactive view of price and cost variance by region, product, and business unit.

Self-Service Performance Views

Leaders drill into results by plant, destination, business unit, and product group from one dashboard integrated with Google Cloud Platform (GCP).

Real-Time Service Tracking

Service teams track response sentiment, reopen rate, backlog, and resolution time on dedicated KPI dashboards and make faster, data-driven decisions.

Advanced Visuals on Legacy Tableau

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.

Questions Leaders Ask about MPH for Data

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.

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