Usually when Server admin overhead is costing more than Cloud licensing would. That's typically when the IT team running it is under 5 people. We do the math with you on user counts, extract volumes, and admin time before recommending a path.
Yes. Most Tableau performance problems are extract scheduling, data source design, or workbook structure. The platform is rarely the issue. The AT&T case study (47s to 9s, $6.2M migration avoided) is what fixing performance looks like instead of replatforming.
Yes. Cleaned data sources, certified metrics, and governed workbooks are exactly the inputs an AI reporting agent needs. See our AI Reporting Automation service for how we build the layer on top.
Only when it's actually right. We mostly recommend keeping the platform you have and fixing what's broken. The AT&T Tableau rationalization case study shows what that looks like. $6.2M of migration cost avoided by fixing the existing environment.
The audit and retirement of Tableau workbooks that are unused, duplicated, or superseded. AT&T retired 4,380 workbooks. The remaining environment was faster, more trustworthy, and easier to govern.
Yes. Knowledge transfer is part of every engagement. We can also build a custom training program for your team, including role-based curricula and certification preparation.
Tableau for ALCO reporting, credit risk analytics, regulatory exam-ready dashboards, executive scorecards. Banking and credit union engagements.
Tableau for player loyalty analytics, floor performance, compliance reporting. 23,000-user Hyatt deployment and casino engagements.
Tableau for network, customer, billing, and operations dashboards. AT&T rationalization scale Tableau Server deployments.
We deploy, configure, and govern Tableau Server and Tableau Cloud environments for organizations of all sizes. Permissions, extract schedules, performance tuning, and documentation included.
We build executive dashboards, operational reports, and self-service analytics environments that your team actually uses. We also rebuild dashboards that were built wrong the first time.
We connect Salesforce, ERP, databases, spreadsheets, and cloud applications into clean, governed Tableau data sources. One version of the truth across every dashboard.
Slow dashboards lose users. We tune extract schedules, optimize data source queries, reduce dashboard complexity, and fix the performance issues that make your team avoid Tableau.
We certify data sources, document metric definitions, set permissions, and build a governance framework that keeps your Tableau environment clean as it grows.
We train your analysts, data teams, and business users on Tableau Desktop and Tableau Server. Custom curriculum built around your data, your dashboards, and your use cases.
We size, install, and configure Tableau Server or Tableau Cloud, set the site and project structure, and wire in single sign-on, row-level security, and extract schedules. Done once, done right, so the platform holds as user counts climb.
A Tableau developer on our team builds the executive scorecards and operational views your teams open every morning. We start from the decision each view drives, then design the layout, the calculations, and the interactivity around it.
Most Tableau estates accumulate duplicate, stale, and abandoned workbooks. We audit what exists, measure usage, retire what nobody opens, and consolidate the rest. AT&T retired 4,380 workbooks this way and got a faster, more trustworthy environment.
Slow dashboards drive users back to spreadsheets. We fix the real causes: extract design, data source queries, calculated field logic, and workbook structure. AT&T went from 47 seconds to 9 seconds without leaving Tableau.
Tableau Server to Tableau Cloud, version upgrades, and content migration between sites and environments. We move workbooks, data sources, permissions, and schedules with a tested cutover plan, not a hope-it-works weekend.
Certified data sources, documented metric definitions, a content-lifecycle policy, and role-based training so the estate stays clean as it grows. Governance is what keeps a Tableau deployment trusted a year after launch, not just at go-live.
A Tableau consultant scopes, builds, and fixes Tableau environments so the reporting is fast and the numbers are trusted. In practice that means standing up Tableau Server or Tableau Cloud, designing dashboards, consolidating data sources, tuning performance, setting governance, and training your team. A good one starts with the data underneath the dashboards, because a dashboard on a broken data model is wrong no matter how well it is drawn.
It tracks the size and state of your Tableau estate, not a fixed rate. A focused dashboard rebuild or data source cleanup is a smaller engagement than a full Tableau Server deployment with governance and training across thousands of users. We scope every engagement against fixed deliverables and milestones before any work starts, so you see the number before you commit rather than watching an open-ended retainer run.
Tableau tends to win where the audience is analyst-heavy, the data sources are multi-cloud, and visual quality matters to executives or regulators. Power BI tends to win where the organization is standardized on Microsoft and wants tight Office and Azure integration at a lower per-seat cost. We are certified in both and vendor-neutral, so we recommend the tool that fits your stack and your team. In most cases the right move is to fix what you already run, not replatform.
Yes. We install, configure, and administer Tableau Server and Tableau Cloud: sites and projects, permissions, single sign-on, extract and subscription schedules, backups, and version upgrades. We also help you decide between Server and Cloud based on user counts, extract volumes, security requirements, and the admin time each one costs. For ongoing run-it-for-you operations, see our Tableau Server Managed Services.
Yes, rescue work is a large part of what we do. A deployment usually stalls because performance is poor, nobody trusts the numbers, or a previous vendor left an environment nobody can maintain. We assess what exists, document what is broken, prioritize fixes by business impact, and deliver a clean, governed estate your team can run. The person who scopes the rescue is the senior person who does the work.
Our founder spent six years at Tableau Software as a Senior Business Consultant and Solution Architect before founding Thinklytics. We have delivered Tableau implementations across healthcare, financial services, government, manufacturing, and hospitality. We do not just build dashboards. We fix the data layer underneath them.
Both. We support organizations on Tableau Server, Tableau Cloud, and migrations between the two. We also help organizations decide which deployment model is right for their size, security requirements, and budget.
Can you fix a Tableau environment that a previous vendor built?
Yes. Rescue work is a significant part of what we do. We assess the current environment, document what is broken, prioritize fixes by business impact, and deliver a clean, governed environment your team can trust.
It depends on scope. A focused dashboard rebuild or data source cleanup typically takes 4 to 8 weeks. A full Tableau Server deployment with governance and training typically takes 8 to 16 weeks. We scope every engagement before we start.
Tableau consulting: server admin, workbook design, and performance optimization.
Tableau consulting is the engagement-based work of cleaning up, modernizing, governing, or scaling a Tableau environment. It covers Tableau Server, Tableau Cloud, dashboard rationalization, performance tuning, semantic model design, governance, migrations, and adoption. Thinklytics is Tableau Certified. Our founder spent six years at Tableau Software before founding Thinklytics.
A platform replacement pitch. We don't try to move you off Tableau.
A junior contractor pool. Same senior person on the project from kickoff to handoff.
Our founder worked at Tableau Software for six years as a Senior Business Consultant and Solution Architect. He has seen how Tableau is built, how it is sold, and how it fails in the field.
We do not start with Tableau. We start with your data. If the data layer is broken, the dashboards will be wrong no matter how well they are built. We fix the foundation first.
We have rescued Tableau environments across healthcare, financial services, government, and hospitality. Broken extracts, untrusted dashboards, permission sprawl. We have seen it all.
Every Tableau engagement includes certified data sources, documented metric definitions, and a governance framework. We do not hand you a dashboard and disappear.
We do not open Tableau Desktop on day one. We sequence the work so the workbooks land on a foundation that holds, and your team can run the environment after we leave.
Inventory the Tableau estate, the data sources, the server health, and exactly where the numbers or the performance break.
Fix the data sources and certify the metrics the workbooks will read from, so every dashboard reports one agreed number.
Design and build the dashboards in Tableau, tuned for extract efficiency and structured to load in seconds.
Set certified sources, permissions, ownership, and a content-lifecycle policy so the estate stays clean instead of sprawling again.
Train analysts and business users, hand over documentation, and transfer the knowledge so the deployment does not depend on us.
The investment tracks the size and state of your Tableau estate, not a fixed rate. These are the factors that move the effort.
The number of workbooks, data sources, and users sets the rationalization and rebuild effort. The AT&T engagement retired 4,380 workbooks.
Slow, sprawling Tableau Server environments take more to rationalize and tune than a clean estate.
Establishing certified data sources, ownership, and a content-lifecycle model is more than a one-off fix.
Dashboards built on messy data need the semantic or warehouse layer addressed first.
Your Tableau Server is slow, sprawling, or nobody trusts the numbers.
You have hundreds or thousands of workbooks and need rationalization.
You want governance and certified data sources, not just another dashboard.
You are standardizing on Microsoft and want to move off Tableau: see Tableau to Power BI Migration.
The numbers disagree by definition: start with a Semantic Layer.
You want managed run-it-for-you operations: see Tableau Server Managed Services.
The difference between a Tableau estate people trust and one they quietly work around is discipline, not the license. Here is what changes when a Tableau deployment is run properly.
Tuned extracts and data sources; dashboards load in seconds.
Ongoing management of your Tableau Server or Tableau Cloud environment.
Build the clean data layer that makes every Tableau dashboard trustworthy.