We help you leverage business data to gain rich insights and take data-driven decisions. Unlock new opportunities for your business with Tableau development services.
Every dashboard matches the approved design spec
Sub-3s load — extracts, LOD calcs, set actions
User filters — no one sees data they should not
Version-controlled .twbx, data source guide
"Ahex Technologies Pvt. Ltd. successfully developed the frontend which was used to demo for various clients. The software was subsequently used by financial institutions. The team was prompt in delivering a high-quality product."
More Than 150+ Brands
Ahex Technologies is your go-to partner for enterprise Tableau BI. With deep expertise in Tableau Desktop, Server, Cloud, Prep, and the Extensions API, we build Tableau solutions that connect directly to your data warehouse, enforce row-level security per user, load in under three seconds, and give every stakeholder the view they need without waiting for a data team to run a report.
Our Tableau services span the full BI stack — from greenfield dashboard design and Tableau Server deployment to Tableau Prep ETL pipelines, CRM Analytics integration, and custom Tableau Extensions built with JavaScript. Whether you are migrating from Power BI, replacing an Excel-based reporting process, or scaling Tableau from a single analyst to a 500-user enterprise deployment, our consultants and engineers deliver Tableau solutions that become the daily tool your leadership team cannot imagine working without.
Chosen by Dell, Citigroup, Deloitte, Lenovo, and Charles Schwab — and trusted by over 150,000 organisations globally as the standard for self-service, enterprise-grade business intelligence.
From bespoke Tableau dashboard design and Tableau Server deployment to Tableau Prep ETL pipelines, Extensions API development, Power BI migrations, and enterprise BI rollouts.
Bespoke Tableau dashboards designed from stakeholder requirements — pixel-perfect to approved layout, branded with your colour palette and typography, with LOD calculations, parameters, and set actions built for your specific business questions.
Executive KPI dashboards — P&L, revenue, pipeline
Operational dashboards — daily refresh, alert thresholds
LOD FIXED calculations for cohort and retention analysis
Parameter actions for dynamic metric switching
Mobile-optimised layout for tablet and phone access
Full Tableau Server installation, configuration, and governance — or Tableau Cloud migration and administration — so your organisation has a reliable, secure, and properly licensed BI platform that scales from 10 to 10,000 users.
Tableau Server installation and network configuration
Active Directory / SAML SSO integration
Site and project permission governance model
Tableau Cloud migration from on-premise Server
Tableau Prep Builder flows that clean, reshape, and union raw source data into Tableau-ready extracts — scheduled via Tableau Prep Conductor on Server or Cloud so dashboards always reflect fresh data.
Multi-source union and join flows
Data type correction, null handling, pivot transforms
Scheduled Prep Conductor runs — hourly, daily, on trigger
Output to Tableau extract, database table, or CSV
Custom Tableau Extensions built with JavaScript and the Tableau Extensions API — adding functionality Tableau Desktop cannot provide natively, such as write-back forms, custom filter UIs, KPI commentary, and third-party widget integration.
Write-back data entry forms embedded in dashboards
Custom parameter panels and filter UIs
KPI commentary — annotate charts with text notes
Third-party API widget embedding (maps, chatbot, alerts)
Custom Tableau Extensions built with JavaScript and the Tableau Extensions API — adding functionality Tableau Desktop cannot provide natively, such as write-back forms, custom filter UIs, KPI commentary, and third-party widget integration.
Write-back data entry forms embedded in dashboards
Custom parameter panels and filter UIs
KPI commentary — annotate charts with text notes
Third-party API widget embedding (maps, chatbot, alerts)
Tableau dashboards embedded directly inside your web application or customer portal using the Tableau Embedding API v3 — users see Tableau views without leaving your product, with SSO authentication and custom toolbar controls.
Custom toolbar — hide Tableau branding, add custom buttons
URL filter parameters passed from host application context
Connected App or Trusted Authentication for SSO
React Hook Form + Zod resolver integration
Full migration from Power BI or legacy Excel-based reporting to Tableau — Ahex audits existing reports, maps Power BI DAX measures to Tableau calculated fields and LOD expressions, and rebuilds each dashboard in Tableau with full feature parity plus Tableau-native enhancements.
Power BI report audit — chart inventory and DAX mapping
DAX → Tableau calculated field and LOD translation
User acceptance testing with original report owners
Husky pre-commit type-check hook
Existing Tableau dashboards loading slowly, timing out on large datasets, or frustrating users with poor responsiveness? Ahex audits your workbooks and data sources and delivers a prioritised performance improvement plan.
Tableau Performance Recorder — bottleneck identification
Extract vs live — switching to extract where appropriate
LOD and table calculation efficiency review
Turnaround: full audit report in 5–7 days
Structured Tableau training for your analysts, end users, and administrators — from introductory sessions for first-time Tableau users to advanced calculated field and LOD workshops for your power users and dashboard builders.
Tableau Desktop fundamentals — 2-day onboarding workshop
Advanced calculated fields, LOD, and table calculations
Dashboard design best practices and data storytelling
Code review sessions on real team PRs
At Ahex Technologies, we don’t just write code — we own outcomes. From type architecture to post-launch monitoring, our Tableau practice is your end-to-end BI partner — responsive, transparent, and accountable.
3–5 days to onboard your dedicated PostgreSQL DBA engineer
Senior Tableau — Desktop, Server, Prep, Extensions API, RLS, and performance optimisationpes
Direct Slack access to your actual engineer — no account managers
Named, consistent developer — no bait-and-switch
Full code ownership from day one — no lock-in
Timezone-aligned — UK, UAE, and US hours coverage
2-week replacement guarantee if it's not the right fit
The following are the data governance, security, performance, and quality standards we engineer into every Tableau deployment — built in from sprint zero, not retrofitted after launch.
Every multi-user Tableau deployment ships with User Filter or entitlement table-based row-level security — no user ever sees data rows they are not authorised for. RLS is configured and tested before go-live, not as an afterthought. (prev: no implicit any, no unsafe assignments, no unchecked indexed access.
Tableau Server permissions are configured with least-privilege by default — Creator, Explorer, and Viewer licences assigned by role, project-level permissions locked, and default site permissions audited before user onboarding begins.
All Tableau dashboards carry a clear data source, refresh timestamp, and data owner label — every stakeholder knows the currency of the data they are looking at and who to contact if something looks wrong.
Every workbook is version-controlled as a .twb or .twbx file in Git — full change history, rollback capability, and diff review before any updated dashboard is published to Server or Cloud.
Tableau Prep and extract schedules are monitored — failed refresh alerts sent to the data owner, with documented remediation procedures so a failed overnight extract does not silently serve stale data to the morning standup.
Every published Tableau dashboard is load-tested against production-scale row counts using the Tableau Performance Recorder — dashboards that exceed the 5-second load threshold are optimised before go-live.
Our Tableau consultancy practices align with regulatory requirements across healthcare, finance, and data privacy — a typed codebase is also an auditable one.
All PHI is kept server-side — only aggregated, de-identified metrics are surfaced in Tableau views. No raw patient records ever reach client-side Tableau dt the type level — misuse flagged at compile time, not discovered in an audit.
Opaque CardNumber and CVV types prevent raw payment strings being passed through un-validated code paths — enforced by the compiler, not just policy.
Tableau row-level security ensures only aggregated, anonymised metrics reach dashboard users — raw PII never leaves the back-end data source and is never visible in Tableau views models — accidental exposure of personal data caught before runtime in production.
Typed event schemas ensure every audit log entry has a known, validated shape — no untyped JSON blobs in the compliance trail.
Tableau Embedding API v3 deployments use Connected Apps or Trusted Authentication — no username/password in URL parameters, no unauthenticated iframe embedding, and CORS restricted to the host application origin.
Tableau Server supports keyboard navigation and screen-reader access for dashboard controls. Ahex configures tooltip and title text for all charts, and validates Viz Extension pages against WCAG 2.1 AA where accessibility is a procurement requirement.
Structured dashboard design review checklists, performance validation gates, data accuracy sign-off, version-controlled workbooks, and documented data source ownership — directly mapping to ISO 9001 quality assurance requirements on every Tableau project.
Database credentials for Tableau Server data sources are stored as embedded credentials or service account tokens — never in workbook files checked into version control, and rotated on schedule via the Tableau Server REST API.
Tableau requires a commercial licence for every Server and Cloud user. Ahex audits your licence allocation, recommends the correct Creator/Explorer/Viewer mix for your user base, and ensures no unlicensed usage before every deployment.
From Tableau Desktop and Tableau Prep to Tableau Server, Tableau Cloud, Extensions API, Embedding API, Salesforce CRM Analytics, and dbt — every tool our Tableau practice uses daily in production deployments.
Core Tableau platform
Tableau programmability layer
Supported data platform layer
Data pipeline and transformation
Platform management and security
Platforms we migrate from or integrate with
Platform health and observability
Server and cloud infrastructure
We deploy in all four. We give honest advice — including recommending Power BI for Microsoft-first organisations where Teams and SharePoint integration is the priority, or Looker when a code-first LookML semantic layer is the right architectural choice.
| Criteria | Tableau | Power BI | Looker / Qlik Sense |
|---|---|---|---|
| Visualisation flexibility | Highest — drag-and-drop any chart form, pixel control via calculated fields | Good — pre-built visuals, limited custom chart control | Looker: code-first, limited chart types; Qlik: good chart range |
| Self-service for business users | Excellent — drag-and-drop, no SQL required for most analyses | Excellent — Power BI Desktop is intuitive for Excel users | Looker: requires LookML knowledge; Qlik: moderate learning curve |
| Data connection breadth | 100+ native connectors — Snowflake, BigQuery, Salesforce, REST API | 100+ connectors — strongest for Microsoft ecosystem | Looker: any SQL database; Qlik: 100+ connectors |
| LOD / complex aggregations | LOD expressions (FIXED, INCLUDE, EXCLUDE) — powerful without SQL | DAX — powerful but steep learning curve | Looker: LookML-based; Qlik: set analysis (complex) |
| Embedding in web apps | Tableau Embedding API v3 — SSO, custom toolbar, programmatic control | Power BI Embedded — per-capacity pricing model | Looker Embed — strong; Qlik Mashup API — lower level |
| Pricing model | Per-user named licence — Creator, Explorer, Viewer tiers | Per-user or Premium capacity — Microsoft 365 bundle available | Looker: per-user, enterprise pricing; Qlik: per-user or token |
| Mobile experience | Tableau Mobile app — iOS and Android, offline dashboards | Power BI Mobile — strong iOS and Android experience | Looker: browser-responsive; Qlik Sense Mobile: native app |
| Ahex recommendation | Best for: visual analytics, large datasets, mixed technical users, embedded BI | Best for: Microsoft-first organisations, Excel power users, Azure data stack | Looker: engineering-led data teams with a semantic layer; Qlik: associative data exploration |
A Tableau-specific process — stakeholder requirements, data model, and dashboard taxonomy confirmed before a single Tableau workbook is opened. Governance and performance validated at every sprint, not compiler config defined before a single component is built. Safety enforced from sprint zero, not patched in retrospect.
Stakeholder interviews to capture dashboard requirements, key metrics, and filter needs. Data source audit — identifying table structures, data quality issues, and join logic. Dashboard taxonomy and naming conventions agreed before workbook development begins.
Data source connections established, Tableau Prep flows built for data cleaning and reshaping, calculated fields defined in the data source layer, and row-level security configured before any dashboard is built on top.
Dashboard views built iteratively with stakeholder sign-off at each sprint — LOD calculations, parameter actions, set actions, and mobile layouts built and reviewed with the business users who will use them daily.
Tableau Server or Cloud deployment — site structure, project permissions, user provisioning, SSO configuration, extract refresh schedules, and Tableau Prep Conductor scheduled flows. Governance model documented and handed to the Tableau admin.
User acceptance testing sessions with the dashboard owners using production data. Performance Recorder run on every dashboard — any view exceeding 5 seconds is optimised before sign-off. Data accuracy cross-checked against source system totals.
Two-week hypercare period post go-live, user training sessions, Tableau admin handover documentation, extract failure alerting configured, and monthly performance checks scheduled for the first quarter after launch.
All models include performance-validated Tableau dashboards, full data source documentation, named consultants, and full code ownership from day one.
Cost is locked in a fixed-scope model. Ideal when the roadmap is well-defined and you want budget certainty.
Billing
Best For
A dedicated pod you optimise, scale, and augment your in-house team with. Best for ongoing product development.
Best suited for teams that need predictable sprint velocity.
Billing
Best For
Model Fit
In this model, there is no fixed time or budget. You will pay for the actual hours worked or materials completed and used.
Billing
Best For
Your teams will ship faster, safer code — and your production systems will have fewer spreadsheet requests — when Tableau is built and deployed correctly.
A well-built Tableau dashboard eliminates the back-and-forth between the business and the data team — analysts drag, filter, and drill without raising a ticket, freeing data engineers for higher-value work.
Tableau's FIXED, INCLUDE, and EXCLUDE LOD expressions compute cohort analysis, customer lifetime value, and running totals without writing subqueries, CTEs, or custom SQL views — business logic stays in Tableau, auditable and maintainable.
Tableau row-level security means you build one dashboard and every employee sees only their own region, department, or account — no 200 individually maintained Excel files, no manual permissions management.
Tableau Hyper extracts pre-aggregate data from Snowflake, BigQuery, or Redshift — dashboards load in under three seconds even against 100M-row tables, with no live query pressure on the production warehouse.
Every Tableau dashboard published to Server or Cloud is automatically available on Tableau Mobile for iOS and Android — field teams, executives, and remote staff access live data on their phones with no separate mobile development required.
Tableau Embedding API v3 lets you surface Tableau dashboards inside your SaaS product, customer portal, or internal tool — your users get powerful analytics without leaving your application, with SSO and white-label branding.
Tableau Prep Builder flows replace hours of manual Excel data preparation — scheduled via Prep Conductor, your analysts work with clean, fresh data every morning without running a single macro or Python script.
Storing Tableau workbooks as .twb files in Git gives your team full change history, rollback capability, and side-by-side diff review before any updated dashboard is published to Server — no more accidental overwrites or silent dashboard regressions.
Our Tableau consultants use AI-powered tools across every phase — from type migration to test generation — without sacrificing type safety or code quality. The result: more output, fewer delays, the same rigorous strictness.
AI generates Zod schemas from JSON samples, infers types from existing JS, and suggests typed replacements for any casts — saving 2–3 days per migration sprint.
AI-assisted code review flags unsafe type patterns, missing return types, and any-cast misuse before human review — fewer back-and-forth cycles and faster PR merges.
Tableau Performance Recorder analysis, data accuracy cross-checks auto-generated from Zod schemas and function signatures — QA phase starts with strong coverage.
Combined AI acceleration across all phases consistently cuts total delivery timelines by 25–35% without scope compromise.
Inline Tableau calculated field suggestions, LOD expression generation, and Tableau Prep flow recommendations. Every consultant's daily driver for faster dashboard development.
AI generates Tableau calculated field formulas, LOD expressions, and Prep flow logic from natural language descriptions of the business metric — 40% of calculation writing done before user acceptance testing begins, reviewed by a senior consultant.
Data dictionary entries, calculated field documentation, and dashboard user guides auto-generated from Tableau workbook metadata — always in sync with the published dashboard.
AI-assisted Tableau Performance Recorder analysis surfaces slow views, expensive LOD calculations, and inefficient data source joins — consultants review every recommendation before applying. Shift-left performance optimisation.
All AI-generated Tableau calculated fields and Prep flows are reviewed, data-validated, and owned by a named Ahex engineer before it ships. We use AI to move faster — not to skip UAT sessions or compromise data accuracy sign-off.
Every organisation deploying Tableau hits these sooner or later. These are the problems our engineers diagnose repeatedly and know how to prevent from sprint zero.
Problem
The Tableau dashboard was built against a live Snowflake connection querying 80 million rows. Every filter interaction triggers a full warehouse query. The dashboard loads in 45 seconds. Analysts have stopped using it and gone back to Excel.
Solution
Ahex converts the live connection to a Tableau Hyper extract scheduled to refresh nightly, adds context filters to reduce the query scope on interactive filters, and rewrites two FIXED LOD calculations that were causing full table scans. Dashboard load time drops from 45 seconds to 2.8 seconds.
Problem
The Tableau dashboard was deployed to 200 regional sales managers. Every manager can see every region's pipeline — not just their own. A regional director noticed the issue during the first week and raised a data governance incident.
Solution
Ahex implements a User Filter based on an entitlement table that maps each Tableau username to their authorised region codes. The filter is locked to prevent end-user modification. Every manager now sees only their region. The fix is tested against 10 test user accounts before redeployment.
Problem
After upgrading Tableau Server from version 2023.1 to 2024.2, the server returns 404 errors on embedded dashboards and SSL certificate warnings in the browser. Embedded Tableau views in the customer portal are broken. The IT team cannot identify the cause from the Server logs.
Solution
Ahex identifies a reverse proxy SSL passthrough misconfiguration introduced by the version upgrade and an outdated Content-Security-Policy header blocking the new Embedding API v3 JavaScript. Both are fixed within 4 hours. A documented upgrade runbook is produced to prevent recurrence on future upgrades.
Problem
The organisation decided to migrate from Power BI to Tableau six months ago. The Tableau team has rebuilt 40% of the reports but is stuck on 12 dashboards that use complex DAX time intelligence measures that have no obvious Tableau equivalent. The migration is blocked and the Power BI licences are still running.
Solution
Ahex maps the 12 DAX time intelligence calculations — DATEYTD, SAMEPERIODLASTYEAR, DATEADD — to Tableau LOD expressions and table calculations, builds a translation reference document for the team, and completes the remaining dashboards in 3 weeks. The Power BI licences are decommissioned on schedule.
Problem
The Tableau Server extract refresh schedule failed at 2am due to a connection timeout. Nobody was alerted. The operations team ran the 9am standup looking at yesterday's data without realising it. A decision was made on stale numbers before the data team arrived at 10am and discovered the issue.
Solution
Ahex configures Tableau Server extract failure email alerts to the data owner and a Slack webhook notification to the BI channel. A data freshness calculated field is added to every dashboard showing the last successful extract timestamp. Users can see immediately if the data is stale — no silent failures reach the board.
Problem
A Salesforce/Tableau licence audit before contract renewal finds 35 active Tableau Server users with no valid licence assignment. The organisation is exposed to a licence compliance penalty. The renewal negotiation is blocked until the issue is resolved and a remediation plan is submitted to Salesforce.
Solution
Ahex runs a full Tableau Server licence audit using the REST API and Admin Insights, identifies the 35 unlicensed users, right-sizes the licence allocation across Creator, Explorer, and Viewer tiers, and produces a remediation report. Sprint zero licence planning is now standard practice on every Ahex Tableau deployment.
Six solution types where our Tableau consultants have deep, repeated delivery experience — every stack listed is what we shipped in production in the last 18 months.
C-suite and leadership dashboards — P&L, revenue pipeline, headcount, and operations KPIs — built with LOD calculations, parameter actions, and mobile layouts. SPAs with strict tsconfig, generics-first component design, typed state management (NgRx / Zustand), and Zod-validated API layers across the UI.
Fully typed REST and GraphQL APIs with NestJS dependency injection, Prisma typed models, Zod request validation middleware, and tRPC for end-to-end type safety.
Multi-package monorepos with shared @company/types, shared tsconfig bases, ESLint boundary rules, and Nx affected builds that cut CI time by ~60%.
End-to-end Tableau Server installation, configuration, SSO, RLS, governance model, and extract schedule migrations using allowJs incremental strategy, type-coverage audits, any-elimination phases, and strict mode graduation — production stays deployable throughout.
Multi-source Prep flows connecting Salesforce, Snowflake, SQL Server, and Excel — AWS and Vercel S3-landed raw files cleaned, reshaped, and scheduled via Prep Conductor — Zod-validated payloads, and cold-start optimised bundles under 1MB.
Tableau dashboards embedded inside SaaS products and customer portals via Embedding API v3 with shared types in a monorepo, single CI/CD pipeline, tRPC or OpenAPI contracts, and one team owning the entire stack from DB to UI.
The following are the industry standards and compliance that we align Tableau with. Our team ensures that these are built into the markup from sprint one only.
AI accessibility scanning flags WCAG violations in real time during development — not post-launch in an audit.
Section 508 for the USA. An U.S. federal accessibility standard that requires government agencies and their digital services to be accessible to people with disabilities.
A U.S. civil rights law. It promotes the idea that people with disabilities should also have equal access. Its web accessibility requirements encourage businesses to provide inclusive online experiences.
Standards that help websites collect user data transparently. Supports GDPR and CCPA. Gives users control over their data.
W3C Tableau Validation ensures that the Tableau development follows official web standards. It must improve compatibility with browsers, reliability, and overall user experience.
Standardized format that helps search engines understand content on the webpages. Improves SEO and crawlability.
We build trusted, governed Tableau BI dashboards for organisations across all major verticals — from healthcare typed APIs to fintech platforms, logistics systems to SaaS products. Click an industry to explore what we've delivered.
Our solutions for healthcare and fitness focus on developing user-friendly interfaces for fitness apps, appointment scheduling systems, and health tracking platforms, ensuring secure and efficient data management.
We help real estate companies build immersive property listings, interactive maps, and responsive websites that streamline property searches and improve customer engagement.
Our front end services help automotive and manufacturing companies build robust applications for managing inventory, tracking production, and enhancing customer engagement through intuitive interfaces.
We deliver secure and compliant front-end solutions for financial institutions, enhancing user experience through intuitive dashboards, transaction management systems, and mobile banking apps.
Our frontend development services for tourism and hospitality focus on creating interactive maps, virtual tours, and streamlined booking interfaces that enhance the customer journey from discovery to booking.
We help media and entertainment companies build intuitive systems for content delivery and consumption, including real-time single-page applications and personalized content recommendations that keep audiences engaged.
Our expertise extends to creating modern, scalable front-ends for software applications, ensuring fast performance, intuitive navigation, and seamless integration with backend systems.
We empower e-commerce platforms with seamless checkout processes, intuitive product navigation, and responsive designs that boost sales and customer satisfaction.
Our front-end services for education include developing interactive learning platforms, online course management systems, and student portals that enhance engagement and accessibility.
Known for building innovative technology solutions across diverse industries, we’ve received multiple awards and recognitions from top B2B platforms.
Clutch 1000 Company – 2025
Recognized by Clutch among the top 1000 global companies for excellence in service and delivery in 2025
Clutch Global Award Winner – Fall 2024
Awarded by Clutch as a Global Leader for outstanding performance and client satisfaction in Fall 2024
Clutch Global Award Winner – Spring 2024
Recognized by Clutch as a Global Leader for delivering high-quality solutions and consistent client success in Spring 2024
Clutch Champion – Fall 2024
Honored by Clutch as a Champion for sustained excellence, industry leadership, and exceptional client feedback in Fall 2024
Clutch Champion – Spring 2024
Honored by Clutch as a Champion for sustained excellence, industry leadership, and exceptional client feedback in Fall 2024
Ahex Technologies Pvt. Ltd. developed a client-facing mobile app with geolocation features as well as an intranet portal for employees. They provide ongoing support for any updates that need to be made.
An enterprise-grade AI Voice Assistant platform designed to automate, govern, and optimize every guest interaction across single and multi-property hotel environments.
Book a free scoping call with a senior Tableau consultant. We'll review your codebase, tsconfig, and Zod coverage — and give you an honest migration or architecture recommendation. No upselling, no sales pitch.
The frontend is the first thing users interact with while using a mobile, software, or website. Hence, it is crucial
Every start-up begins with an idea, but running a business needs constant efforts, time, and money. Initially, start-ups have to
Frontend development is undergoing a transformation and it’s not just about new frameworks or fancier animations. It’s about AI in
Create interactive, data-driven visualizations with D3.js and DC.js. Ahex develops custom charts, graphs, dashboards, drill-downs, and dynamic visual experiences that help businesses explore complex datasets and uncover meaningful trends.
Build interactive and responsive charts for web applications using Highcharts. Ahex helps transform complex datasets into clear visual experiences with customizable charts and data-driven interfaces designed for business reporting and analytics.
Create interactive web-based charts and visual reports using Google Charts. Ahex develops customized data visualizations that make business information easier to understand, analyze, and present across web applications.
Yes — it’s the explicit choice of enterprise engineering teams at Dell, Citigroup, Deloitte, Lenovo, and Charles Schwab. Tableau’s self-service analytics, row-level security, and enterprise Server/Cloud platform make large multi-team codebases safe to refactor and extend. For smaller utility scripts plain JavaScript may be fine, but anything long-lived and organisations benefit enormously from Tableau.
Any project with more than one developer, more than a few weeks of lifetime, or self-service analytics, executive KPI dashboards, regional sales reporting, operational monitoring, and any project where business users need to explore data without raising IT tickets. Tableau is the default for organisations that want fast, trusted insight at scale. Prisma, tRPC, and Next.js — it’s the natural choice for the modern JavaScript ecosystem rather than an add-on.
We configure a CI type-check gate (tsc –noEmit) that blocks any PR introducing type errors, activate @typescript-eslint/no-explicit-any and @typescript-eslint/ban-ts-comment to prevent suppressions, and run a type-coverage threshold check on every build. Strictness is enforced by the CI pipeline, not by convention or code review alone.
By default, yes — strict:true enables strictNullChecks, noImplicitAny, strictFunctionTypes, and several other critical checks simultaneously. If you have a legacy codebase where strict mode can’t be enabled immediately, we use an incremental approach — enabling individual flags one at a time and graduating to full strict over sprints.
Typically 3–12 weeks depending on codebase size, existing test coverage, and strictness targets. We use an incremental allowJs strategy — your project stays deployable throughout, never blocked on a big-bang branch. Most production codebases see zero runtime regressions after our migration.
We start with a discovery call to understand your data sources, reporting requirements, user base size, and current BI tooling. We then propose an engagement model — fixed budget, dedicated team, or time & material — and move into type architecture design, iterative build or migration sprints, and a documented handover with type coverage report.
Absolutely. We regularly audit inherited Tableau deployments — performance issues, RLS gaps, extract failure monitoring, licence compliance, and workbook organisationing Zod boundaries, and ESLint rule gaps — produce a prioritised remediation roadmap, and execute it incrementally without pausing delivery.
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