Tableau services
Tableau dashboards and reports people can act on
Tableau is one of the BI tools HabileLabs builds on, alongside Power BI and Amazon QuickSight. We turn scattered business data into dashboards, reports and forecasts, and build the analytics underneath on AWS and Azure, from databases and data warehousing to real-time dashboards and predictive models.
- Power BI, Tableau and Amazon QuickSight
- Real-time dashboards and alerts
- Workshops before any build
What we build
Tableau dashboards, and the BI work around them
These capabilities come from our data analytics and BI practice, and apply to Tableau as one of the BI tools we build on.
Data visualization consultation
Complex datasets turned into clear visualizations that show hidden trends.
Real-time dashboards and alerts
Real-time reporting dashboards and alerts to monitor key metrics and respond quickly.
Forecasting and predictive analytics
Predictive analytics, sentiment analysis and NLP to forecast outcomes and plan ahead.
BI platform migration
Reporting moved to a new BI platform with data continuity and minimal disruption to operations.
Data governance frameworks
End-to-end protocols that keep data clean, secure and compliant.
Cloud data platforms
Data ecosystems modernized and scaled on AWS and Azure for real-time insights.
The data behind the dashboard
The data work comes before the dashboard
Most reporting problems are data problems that show up in the dashboard. So we bring the data together, keep it governed and make it fast to query, then build the dashboards on top.
Data in one place
Data integration and ETL pipelines bring data from many sources into one platform, on AWS, Azure or Google Cloud.
Fast queries underneath
In a SQL Server consolidation for Helvetia, query times dropped from several minutes to under 10 seconds, speeding up reporting cycles and data-driven decisions.
Trusted information
Frameworks that keep data accurate, complete and secure, so decisions rest on trusted information.
Architecture that scales
It grows with your data and keeps performance up.
How it runs
How a Tableau project runs
Four stages, starting with workshops on your business goals and your data instead of a template.
01
Prepare
Workshops on your business goals and your data, to agree which decisions the dashboards must support and where the data sits today.
02
Envision
KPIs defined and analytics projects prioritized by the value they return.
03
Roadmap
A plan for which reports come first, which data feeds them, and whether existing reports move from another BI platform.
04
Implement
Dashboards and reports built and connected to your data, with support from launch to ongoing optimization.
Keep exploring
Choosing a BI tool, or fixing the data first?
Tableau is one of the BI tools we build on. These pages cover the others, and the data work underneath.
Data analytics and BI
Dashboards, BI migration, real-time analytics and forecasting with Power BI, Tableau and Amazon QuickSight.
Analytics and BIPower BI and Microsoft Fabric
One semantic model, so every report agrees, with reports, models and data kept in your Microsoft tenant. From a Microsoft Solutions Partner for Data & AI.
Power BI and FabricSnowflake data engineering
Pipelines into Snowflake with Apache Airflow and dbt, and data kept clean, validated and AI-ready.
Snowflake servicesData engineering
Data architecture, integration and ETL pipelines, big data processing and real-time streaming on AWS, Azure and Google Cloud.
Data engineering servicesHabileLabs Analytics
Our Gurugram subsidiary, a Data and AI Innovation Center that builds data platforms and AI-powered analytics for enterprises and the public sector.
HabileLabs AnalyticsDatabase migration and modernization
Legacy and self-managed databases moved to managed platforms, with the data intact.
Database migration
Tableau FAQs
Tableau dashboards and BI, answered
Which tools we use, how a project runs and how Tableau sits next to Power BI.
Data visualization consultation, real-time dashboards and alerts, forecasting and predictive analytics, BI platform migration, and the data work underneath: pipelines, data quality and governance. Tableau is one of the BI tools we build on, alongside Power BI and Amazon QuickSight.
Microsoft Power BI, Tableau and Amazon QuickSight for dashboards and reports, with Azure Synapse Analytics, Azure Analysis Services and Databricks as analytics and data platforms.
We build on both, so the choice can follow your platforms and your team. With Power BI and Microsoft Fabric, reports, models and data stay in your Microsoft tenant with one semantic model, and HabileLabs is a Microsoft Solutions Partner for Data & AI. We start with workshops on your goals and your data before recommending a tool.
Yes. We migrate reporting to next-generation BI platforms with data continuity and minimal disruption to operations.
Yes. We build real-time reporting dashboards and alerting so teams can monitor key metrics and respond quickly.
Yes. HabileLabs builds analytics and BI on AWS and Azure, from databases and data warehousing to real-time dashboards and predictive models.
With workshops on your business goals and your data. We define the KPIs and prioritize analytics projects by the value they return, then plan and build. You can start with a free consultation.
Next step
Which decisions should your dashboards support?
Tell us which reports you run today, where the data sits and who uses it. We start with a workshop on your goals and your data, and define the KPIs before anything is built.
- Workshops before any build
- KPIs defined first
- Power BI, Tableau or Amazon QuickSight