Data & AI Consulting

Recent insights

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Selected client outcomes

• We consolidated 14 regional patient encounter definitions into one standard in 11 weeks, cutting reconciliation labor costs by $2.1 million. , Kaiser Permanente
• We recovered $4.8M a year in misrouted claims by lifting member match accuracy from 75 to 94 of every 100 records, restarting three stalled ML pilots. , Express Scripts
• Migrated 140 Crystal Reports to Power BI in 20 weeks, cutting report time from 4 hours to 8 minutes and saving $1.1M per year in licensing costs. , Ascension Health System
• We gave 340 clinical staff direct access to analytics, cutting ad-hoc report requests from 120 to 14 per week and saving $890K in analyst labor annually. , Community Health Network
• We improved patient data quality from 58 to 91 in 12 weeks, enabling a $3.2M population health management platform to move forward. , St. David's Medical Center

Thinklytics delivered what two previous vendors could not. The metric layer they built is the foundation we run every executive dashboard on today.

We avoided a $6M platform migration because they fixed the actual problem instead of selling us new software. That is the kind of advisor you want.

Delivered on time, on scope, with zero surprises. In 14 years of government IT, I have never had a vendor do all three.

Our AI pilot had been stalled for eight months. Thinklytics came in, diagnosed the data layer in two weeks, and we had a working model in production by month three.

They rationalized 11 years of Tableau sprawl into a governed, documented environment our team can actually maintain. The ROI was immediate.

Every number in every board meeting now comes from the same source. That sounds simple. It took us four years and two failed vendors to get there. Thinklytics did it in 90 days.

We review your dashboards, data sources, metric definitions, and reporting workflows. We document what is broken, what is duplicated, and what is slowing your team down.

We rank issues by business impact. Not every broken report is equal. We focus on the ones that affect decisions, close the books, or block your next initiative.

We fix the data, semantic models, dashboards, and reporting workflows. No workarounds. No duct tape. We fix the foundation so the fix holds.

We align KPI definitions, permissions, documentation, and governance across every team and tool. One number. Every meeting. Every department.

We help your team maintain trusted reporting over time. Through managed services, fractional support, or knowledge transfer, we make sure the work sticks.

You have Tableau or Power BI. You have data. You do not have a full-time data engineering team. We act as your senior data partner without the full-time overhead.

Your numbers need to match. Every report, every department, every time. We build the metric layer that makes that possible before the meeting.

Finance is still in Excel. Operations exports to a spreadsheet every Monday. The data team spends more time pulling reports than building anything. We fix the pipeline.

A previous vendor built something that nobody trusts. A Tableau environment that nobody maintains. A data warehouse that does not match the source. We rescue the work.

You are evaluating Snowflake, Databricks, or a new ERP. Before you spend on the platform, you need to know your current data is clean enough to migrate. We tell you the truth.

Mostly yes. AI built on top of bad data produces confident wrong answers. The good news is 'clean enough' usually means fixing one or two metric definitions, one or two dashboards, and one or two integrations. It doesn't mean rebuilding the whole stack.

A chatbot answers a question. An agent takes a multi-step task. Read, classify, look up, draft, route, update. It runs with bounded autonomy and a human approves the steps that matter.

Approval workflows, access controls, audit logs, prompt and output monitoring, and clear ownership. We define these before the first agent ships, not after.

Audit: 30 days. BI cleanup: 4 to 6 weeks. AI workflow automation: usually 6 to 12 weeks for a first production workflow. Managed services: monthly retainer.

Yes. Headquartered in Austin, TX, working with mid-market and enterprise clients across the United States.

One bounded-scope agent in production in 12 weeks, with handover. No managed-services lock-in.

Three stalled ML pilots restarted, $4.8M in annual claims recovered, in 14 weeks.

Thinklytics helps mid-market and enterprise teams fix messy data, modernize Tableau and Power BI, govern analytics, and ship practical AI automation. Austin, TX.

From broken reports to AI-ready data and practical automation. Built for teams that need trusted answers.

Most teams are funding AI on data that cannot support it. We fix the foundation first, the governance, the certified metric layer, and the reliable pipelines, so your AI projects actually ship. Most use cases reach production in 8 to 14 weeks once the foundation is right. Then the dashboards click, the books close without headaches, and the agents have something solid to run on.

Before we kick off a Thinklytics project, this is what we usually spot.

Good-looking dashboards won’t help if the data behind them is inaccurate. You can refine your BI visuals as much as you like, but if the numbers are off, you’re making decisions on a shaky foundation. Getting the data right is what actually moves the needle.

Here’s what we actually do: we dive right into the root problem. Fix the semantic model, lock in the metrics, and clean up the governance. Then, every meeting zeroes in on one solid number.

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Practitioner-voice articles on the pricing, platform, and governance decisions teams are weighing right now. Written from the engagements behind every Thinklytics case study.

We spend 30 days digging into your data. No fluff, no guessing. Just straight-up facts on what’s working and what’s not. By the end, you get clear insights that actually help you make better decisions.

Here’s what we do: we dive into your AI-readiness and put it all into a 15-page report. You get a clear score and a simple 90-day plan. And if you qualify, we won’t charge you a thing.

Need a hand? Just shoot us a message and we’ll run an audit for you.

We lock in your reporting basics first, clean data, certified metrics, clear governance. Then we build on top of that. No scope creep. You'll know exactly what's coming before we start.

We work with companies drowning in messy, real-world data, not just theory or clean examples. These are the people who usually come to us.

Most teams aren’t held back by lack of AI tools. They’re held back by messy data, dashboards nobody trusts, and workflows still running on people copying numbers between systems. Thinklytics rebuilds the metric layer, modernizes Tableau and Power BI, governs the data that AI will touch, and ships practical AI automation on top. Agents. Reporting summaries. Intake routing. CRM hygiene. Support triage. We work inside the stack you already have.

We fix the foundation first, the certified metrics, the resolved entities, the governed pipelines, then ship the agent that runs on it. Bounded scope, human approval gates, audit logs, and a production runbook. Not a prototype.

Each package is a fixed scope with a clear outcome and a deadline. Every one starts with the 30-day Analytics Truth Audit so we scope from facts, not guesses.

Once an agent is live, the work is keeping it safe and compliant. Approval workflows, access controls, audit trails, drift monitoring, and EU AI Act readiness, run as managed operations.