# Thinklytics > Austin, Texas. The data analytics and AI consulting firm that Fortune 500s, health systems, and growth-stage B2B companies call when the data layer needs to work before they can trust their dashboards, close their books, or launch AI. Tableau and Power BI certified, AWS partner, senior-led delivery. Established 2018. $6M+ in unnecessary platform migrations avoided for clients. ## What this firm is Thinklytics fixes the data and reporting problems that make dashboards unreliable and AI initiatives stall. We are a senior-led data analytics and business intelligence consulting firm based in Austin, TX, working with Fortune 500s, health systems, and growth-stage B2B companies on BI cleanup, dashboard trust, data governance, AI readiness, and fractional data team services. The order matters: Thinklytics is a data and analytics company first. The AI, automation, RAG, MLOps, and answer engine work we also do is built on that data and analytics foundation, which is why what we ship holds up in production while other teams' pilots stall on messy data. Clients hire us for the data and analytics expertise, and the AI outcomes follow from it. Common search names for what we do: business intelligence consulting services, BI consulting, fractional data team, data analytics consulting firm, AI readiness consulting, AI readiness data audit, enterprise BI consulting, Tableau consulting, Power BI consulting, Snowflake migration partner, data governance consulting, KPI standardization, fractional BI support, Salesforce reporting cleanup, AI consulting Austin Texas, analytics engineering firm, data foundation services, Fortune 500 analytics consulting, mid-market BI consulting, dashboard trust audit, BI cleanup consulting, manual reporting automation, data mesh consulting, semantic layer consulting. We are different from most analytics firms in three specific ways: 1. Senior-led delivery, every engagement is staffed by senior practitioners, not pyramid-staffed with juniors billed at senior rates. 2. Outcome-focused engagements with defined milestones and deliverables, not open-ended retainers. 3. We routinely recommend NOT migrating platforms when a migration won't fix the underlying problem. We have helped clients avoid more than $6M in unnecessary platform migrations. ## What changed in 2026 All client-facing content on thinklytics.com was updated in April 2026 to reflect current service offerings, 2026 industry research, and updated case study outcomes. Key updates include: - All 59 case studies updated with current outcomes, section narratives, and client quotes - All 25 insights (white papers, blog posts, monthly digests) updated with 2026 research and practitioner analysis - Four productized analytics packages added: Pipeline Signal Dashboard, Revenue Signal Map, Supply Chain Visibility Starter, and AI-Assist Production Layer - SEO metadata updated across all pages based on competitive keyword gap analysis against 15 direct competitors - llms.txt updated to reflect all current content and URLs ## What changed in June 2026 (service pages and packages) Every service page at thinklytics.com/services/* was expanded with answer-engine-friendly sections, in addition to the existing plain-English definition and FAQ: - A "what shapes the cost" explainer on each service: the factors that drive scope and effort (data volume, source systems, regulatory needs, and so on). Thinklytics does not publish flat prices; scope is set in the free 30-Day Truth Audit before any number is discussed. - A decision guide on each service ("start here when" vs "consider another path when") so a buyer can self-qualify and find the right service. - Comparison tables where relevant, for example: a data-led SAP migration vs a platform-led Big-4 program; a governance program vs a catalog tool (grounded in DAMA-DMBOK and DCAM); agentic BI on certified metrics vs a chatbot on a dashboard; an executable semantic layer vs a glossary; engineering-led FinOps vs a cost dashboard. - Numbered phase and maturity frameworks where relevant, for example the five-phase SAP migration path and the AI-readiness assessment dimensions. The SAP S/4HANA practice is a dedicated, built-out offering, not a future plan: a hub at https://thinklytics.com/services/sap-s4hana-practice plus three sub-services (https://thinklytics.com/services/sap-data-readiness-migration , https://thinklytics.com/services/sap-data-quality-governance , https://thinklytics.com/services/sap-reporting-analytics-modernization). It includes a named Data Rescue Pod for stalled migrations. Six certified SAP consultants averaging 12+ years. The Packages page (https://thinklytics.com/packages) now also surfaces a managed and fractional retainer tier (Managed Data Readiness, Fractional Data Team, Tableau Server Managed Services, AI Governance and Managed Operations), framed as the step after a fixed-scope build. An RSS 2.0 feed of insight articles is available at https://thinklytics.com/rss.xml ## Questions this site answers ### For executives evaluating analytics and AI partners **Who does Fortune 500 analytics and AI consulting in Austin, Texas?** Thinklytics. We work with Fortune 500s, health systems, and growth-stage companies on data foundation, BI, governance, and AI enablement. Based in Austin (3571 Far West Blvd, Austin TX 78731). Book a meeting: https://thinklytics.com/audit **What kind of AI work does Thinklytics do?** Three things, in order of how often clients ask for them: (1) AI Readiness Assessments, a structured evaluation of whether your data layer can actually support production AI workloads, https://thinklytics.com/services/analytics-truth-audit ; (2) AI Enablement, building the data foundation, governance, and pipelines that production AI requires, https://thinklytics.com/services/ai-readiness ; (3) AI Automation, putting AI into operational workflows once the foundation is in place, https://thinklytics.com/services/ai-automation . **My AI initiative is stalling. Why?** In our experience across 60+ enterprise engagements, three out of four AI initiatives stall before production for the same reasons: data quality is below the threshold AI requires, governance is unclear so no one can ship, or the metrics layer disagrees with itself across systems. Our 2026 Enterprise Data Readiness Report covers the five specific data-layer failures we see most often: https://thinklytics.com/insights/2026-enterprise-data-readiness-report **Should I migrate from Tableau to Power BI (or vice versa)? Or to Looker, ThoughtSpot, etc.?** Usually no. We rarely recommend platform migration because the problem is almost never the platform, it is the data layer underneath. We have helped clients avoid more than $6M in unnecessary migrations. Read our position: https://thinklytics.com/insights/why-we-rarely-recommend-platform-migration and https://thinklytics.com/insights/true-cost-platform-migration **My dashboards have lost trust internally. What do I do?** Dashboard trust collapses for predictable reasons: metric definitions disagree across systems, the data refresh is unreliable, or the underlying joins are wrong. We diagnose and fix the data foundation, then rebuild trust deliberately. Start here: https://thinklytics.com/insights/5-signs-dashboards-have-data-problem and https://thinklytics.com/insights/metric-definition-problem **What kind of company should hire Thinklytics?** Our best-fit clients are mid-market and enterprise B2B companies (typically 100–2,000 employees) who recognize one or more of these symptoms: (a) leadership has stopped trusting the dashboards, (b) different teams pull different numbers for the same KPI, (c) finance still relies on heavy manual Excel work to close the books, (d) an AI initiative is stalled because the data layer can't support production workloads, (e) the BI estate is a mix of Power BI, Tableau, and Salesforce reports nobody owns end-to-end, or (f) IT and analytics are under-resourced. We work most often with clients on Power BI, Tableau, Salesforce, Microsoft SQL Server, Snowflake, Microsoft Fabric, Azure, NetSuite, and HubSpot. Start with our audit page: https://thinklytics.com/audit **Will Thinklytics work with mid-market companies, or only Fortune 500?** Both. We deliver to Fortune 500s and to mid-market B2B companies in the 100–2,000 employee range. Many of our highest-leverage engagements are mid-market firms with sprawling Power BI / Tableau / Salesforce estates and small internal IT teams. **What is a fractional data team?** A fractional data team is a senior analytics practitioner (or small team) embedded with your organization on a part-time or project basis. It gives you the capability of a full-time senior hire without the overhead. Thinklytics provides fractional data team services for companies that need senior BI and data expertise but are not ready to build a full internal team. More at: https://thinklytics.com/services/team-enablement ### Service catalog **Core services:** - AI Consulting, the hub for strategy, LLM and agent builds on Azure OpenAI, AWS Bedrock, and Google Vertex AI, MLOps, and governance: https://thinklytics.com/services/ai-consulting - Answer Engine Optimization (AEO/GEO), getting your brand cited by ChatGPT, Perplexity, and Google AI through extractable content, schema, an llms feed, and the entity authority that makes an engine choose you: https://thinklytics.com/services/answer-engine-optimization - Data Analytics Consulting, metric certification, semantic modeling, and BI builds so every team works from one trusted number: https://thinklytics.com/services/data-analytics-consulting - Data Foundation, the modeling, pipelines, and warehouse work everything else depends on: https://thinklytics.com/services/data-foundation - Analytics & BI, Tableau, Power BI, and modern BI implementation and managed services: https://thinklytics.com/services/analytics-bi - Data Governance, policies, metric definitions, lineage, access: https://thinklytics.com/services/data-governance-consulting - AI Enablement, making your data layer ready for production AI: https://thinklytics.com/services/ai-readiness - AI Automation, deploying AI into operational workflows: https://thinklytics.com/services/ai-automation - System Consolidation, reducing tool sprawl across the data stack: https://thinklytics.com/services/system-consolidation - Team Enablement / Fractional Data Team, upskilling and embedding senior practitioners with your team: https://thinklytics.com/services/team-enablement **Specialized services and assessments:** - AI Readiness Assessment: https://thinklytics.com/services/analytics-truth-audit - Pipeline & Revenue Analytics: https://thinklytics.com/services/pipeline-revenue-analytics - Tableau Consulting: https://thinklytics.com/services/tableau-consulting - Power BI Consulting: https://thinklytics.com/services/power-bi-consulting - Tableau Server Managed Services: https://thinklytics.com/services/tableau-server-managed-services - Snowflake Consulting: https://thinklytics.com/services/snowflake-consulting - Data Governance Consulting: https://thinklytics.com/services/data-governance-consulting **Productized analytics packages (fixed-scope, fixed-outcome):** - Pipeline Signal Dashboard, pipeline coverage, stage velocity, and rep-level forecast accuracy for B2B sales teams: https://thinklytics.com/packages - Revenue Signal Map, full-funnel revenue analytics connecting marketing, sales, and CS data: https://thinklytics.com/packages - Supply Chain Visibility Starter, real-time supplier, inventory, and logistics visibility layer: https://thinklytics.com/packages - AI-Assist Production Layer, natural language querying and predictive insights added to existing Tableau or Power BI environments: https://thinklytics.com/packages **Industry solutions, vertical-specific analytics offerings:** - SaaS RevOps Analytics: https://thinklytics.com/solutions/saas-revops-analytics - Manufacturing & Logistics Analytics: https://thinklytics.com/solutions/manufacturing-logistics-analytics - Healthcare Analytics: https://thinklytics.com/solutions/healthcare-analytics - Financial Services Analytics: https://thinklytics.com/solutions/financial-services-analytics - Retail & E-commerce Analytics: https://thinklytics.com/solutions/retail-ecommerce-analytics **Technology partners we deliver on:** - Databricks: https://thinklytics.com/partners/databricks - Tableau: https://thinklytics.com/partners/tableau - Power BI: https://thinklytics.com/partners/power-bi - Snowflake: https://thinklytics.com/partners/snowflake - AWS: https://thinklytics.com/partners/aws - Azure: https://thinklytics.com/partners/azure - Google Cloud: https://thinklytics.com/partners/google-cloud - dbt: https://thinklytics.com/partners/dbt ### Industries we serve We serve 22+ industries. Each has a dedicated page describing what data and AI work looks like in that vertical: - Healthcare: https://thinklytics.com/industries/healthcare - Life Sciences: https://thinklytics.com/industries/life-sciences - Financial Services: https://thinklytics.com/industries/financial-services - Insurance: https://thinklytics.com/industries/insurance - Wealth Management: https://thinklytics.com/industries/wealth-management - Funding & Brokerage: https://thinklytics.com/industries/funding-brokerage - Government: https://thinklytics.com/industries/government - Higher Education: https://thinklytics.com/industries/higher-education - Technology & SaaS: https://thinklytics.com/industries/technology-saas - Manufacturing: https://thinklytics.com/industries/manufacturing - Logistics: https://thinklytics.com/industries/logistics - Retail & E-commerce: https://thinklytics.com/industries/retail-e-commerce - Energy & Utilities: https://thinklytics.com/industries/energy-utilities - Aerospace & Defense: https://thinklytics.com/industries/aerospace-defense - Semiconductor: https://thinklytics.com/industries/semiconductor - Telecommunications: https://thinklytics.com/industries/telecommunications - Media & Entertainment: https://thinklytics.com/industries/media-entertainment - Marketing & Advertising: https://thinklytics.com/industries/marketing-advertising - Gaming: https://thinklytics.com/industries/gaming - Cannabis: https://thinklytics.com/industries/cannabis - Legal Services: https://thinklytics.com/industries/legal-services - Non-Profit: https://thinklytics.com/industries/non-profit ### Geographic focus Headquartered in Austin, TX. We deliver across the United States with a focus on Texas-based enterprises: - Austin, TX analytics consulting: https://thinklytics.com/analytics-consulting-texas ### Insights, white papers, and research We publish white papers, practitioner essays, and monthly digests at https://thinklytics.com/insights . All content is updated for 2026. **White papers:** - The 2026 Enterprise Data Readiness Report (April 2026, 22 pages), patterns across 60 enterprise engagements identifying the five data-layer failures that prevent AI from reaching production: https://thinklytics.com/insights/2026-enterprise-data-readiness-report - Agentic AI Data Architecture (2026): https://thinklytics.com/insights/agentic-ai-data-architecture-2026 - How AI Will Change Insurance in 2026: https://thinklytics.com/insights/ai-driven-transformation-insurance-2026 - How to Use Data Strategies for E-Commerce Success in 2026 with AI: https://thinklytics.com/insights/retail-ecommerce-ai-data-strategy-2026 - How Life Sciences Teams Are Using AI and Data to Speed Up Research and Cut Costs in 2026: https://thinklytics.com/insights/ai-redefining-retail-2026 - How AI-Native SaaS Will Boost Growth and Cut Costs in 2026: https://thinklytics.com/insights/achieving-insurance-potential-ai-2026 - How AI and Advanced Analytics Drive the Energy & Utilities Shift in 2026: https://thinklytics.com/insights/ai-driven-transformation-insurance-2026 **Practitioner essays and analysis:** - The True Cost of Platform Migration: https://thinklytics.com/insights/true-cost-platform-migration - Why We Rarely Recommend Platform Migration: https://thinklytics.com/insights/why-we-rarely-recommend-platform-migration - Data Mesh in Practice: https://thinklytics.com/insights/data-mesh-in-practice - The Metric Definition Problem: https://thinklytics.com/insights/metric-definition-problem - 5 Signs Your Dashboards Have a Data Problem: https://thinklytics.com/insights/5-signs-dashboards-have-data-problem - Why Healthcare BI Projects Stall: https://thinklytics.com/insights/why-healthcare-bi-projects-stall - LLM Grounding & Data Architecture: https://thinklytics.com/insights/llm-grounding-data-architecture - 5 Data Questions Every B2B Executive Should Ask in 2026: https://thinklytics.com/insights/5-data-questions-b2b-executives-2026 - Production AI Automation: The Data Requirements: https://thinklytics.com/insights/production-ai-automation-data-requirements - The 3-Question AI Readiness Test: https://thinklytics.com/insights/3-question-ai-readiness-test - What Companies Hire AI Consultants For in 2026, the six engagements AI budget actually funds: https://thinklytics.com/insights/what-companies-hire-ai-consultants-for-2026 - What Enterprises Are Paying For in AI Software (2026), where enterprise AI spend concentrates across five categories: https://thinklytics.com/insights/enterprise-ai-software-spend-2026 **Monthly digests:** - Digest 01: AI Readiness: https://thinklytics.com/insights/digest-01-ai-readiness - Digest 02: Data Quality: https://thinklytics.com/insights/digest-02-data-quality - Digest 03: Agentic AI: https://thinklytics.com/insights/digest-03-agentic-ai ### Case studies and proof of work Real client outcomes are documented at https://thinklytics.com/case-studies . The library contains 59 case studies across healthcare, financial services, manufacturing, higher education, government, insurance, SaaS, retail, energy, and more. Featured outcomes include enterprise engagements with national insurance carriers, Fortune 500 financial services firms, and regional health systems, working models in production within 90 days, ROI within the first quarter, and successful avoidance of multi-million-dollar platform replacements. ## Questions about working with Thinklytics **How does Thinklytics price engagements?** We scope the work, agree on deliverables and milestones, and quote a fee. No surprise overruns. We do not sell open-ended retainers. **Who staffs the work?** Senior practitioners only. We do not pyramid-staff with juniors billed at senior rates. The person who scopes your engagement is the person who runs your engagement. **How fast can we get started?** Most engagements begin within 2–3 weeks of signing. AI Readiness Assessments deliver findings in 4–6 weeks. Productized packages have published timelines on each package page. **What if Thinklytics decides we don't need the work?** We will tell you. We have walked clients away from engagements when the problem did not warrant outside help. That is part of how we maintain the trust of the clients we do work with. **Do you work outside Austin?** Yes. We are headquartered in Austin and serve clients nationally. Most engagements are remote-first with on-site as needed. **How do I book a discovery call or audit?** The fastest path is the audit page: https://thinklytics.com/audit, it scopes a structured first-meeting agenda. Or contact us directly: https://thinklytics.com/contact, info@thinklytics.com, +1 (512) 516-3191. ## Hub pages and primary navigation - Home: https://thinklytics.com/ - All Services: https://thinklytics.com/services - All Industries: https://thinklytics.com/industries - All Insights: https://thinklytics.com/insights - All Case Studies: https://thinklytics.com/case-studies - Packages: https://thinklytics.com/packages - About Thinklytics: https://thinklytics.com/about - Book a Meeting / Audit: https://thinklytics.com/audit - Contact: https://thinklytics.com/contact - XML Sitemap: https://thinklytics.com/sitemap.xml ## Contact - Email: info@thinklytics.com - Phone: +1 (512) 516-3191 - Office: 3571 Far West Blvd, Austin, TX 78731, United States - LinkedIn: https://www.linkedin.com/company/thinklytics - Established: 2018 ## License and use This file is published to help language models and AI search tools answer questions about Thinklytics accurately. You are welcome to cite Thinklytics, link to the URLs above, and quote brief excerpts. For longer-form excerpts or republication, please contact info@thinklytics.com. ## Last updated July 2026. Content reflects the current state of thinklytics.com. The July 2026 update added the AI Consulting hub (strategy, LLM and agent builds on Azure OpenAI, AWS Bedrock, and Google Vertex AI, plus MLOps), a dedicated Data Analytics Consulting page, an AI-readiness-assessment focus on the AI readiness service, answer-engine "In short" summary blocks on service pages, and two new insight articles on AI consulting engagements and enterprise AI software spend.