Data Services

Data Visualization Consulting Services That Drive Decisions

Power BI, Tableau, Looker, and Domo dashboards designed for the decision, not the demo.

Overview

Dashboards designed for the decision, not the demo

Our data visualization consulting services design and ship dashboards business leaders actually use. We choose the chart, the layout, and the metric for the decision being made and cut everything that distracts from it. Built on Power BI, Tableau, Looker, Domo, and Sisense. Whether you call it BI and data visualization consulting or look for data visualization services companies, the engagement is the same - audience, decision, frequency, success criteria, then build.

Years in business: 12
Team members: 65+
Global clients: 30+
Yr avg. client retention: 4+

Who this is for

Teams whose dashboards have grown into cluttered "data zoos" that confuse rather than inform.
Executives who need a 4-6 metric view of the business that updates daily.
Marketing and operations teams that need cross-platform reporting in one place.
Agencies and platforms building client-facing dashboards at scale.

What you get

Dashboard strategy - audience, decision, frequency, and success criteria for every view, documented before we build a single chart.
Information architecture - top-line scorecard, drill-down views, and operational reports. Each level serves a different audience.
Visual design - chart-type chosen for the question. Color, hierarchy, and spacing tuned for clarity and accessibility.
Build and deployment - Power BI, Tableau, Looker, Domo, or Sisense, picked to fit your stack and budget.
Performance optimization - caching, aggregations, query tuning, and incremental refresh so dashboards open in seconds, not minutes.
Adoption package - training, recorded walkthroughs, and a feedback loop for the first 30 days.

How we work

01 Step

Audit

Inventory existing dashboards, interview consumers, and map the decisions each dashboard is supposed to drive.
02 Step

Plan

Define the dashboard suite, audience for each view, refresh cadence, and KPI tree.
03 Step

Build

Ship dashboards in increments tied to specific decision-makers. Each release is signed off by the user it was built for.
04 Step

Test

Performance benchmarks, stakeholder UAT, and a 30-day adoption review.
05 Step

Scale

Roll out across teams, layer in alerts, and connect to downstream actions (email, Slack, workflow tools).

Tools & stacks we use

The platforms our team is fluent in for this practice. Most engagements span a few of these, picked for the actual problem rather than for the demo.

Power BI
Tableau
Looker
Domo
Sisense
D3
Plotly
Excel

Need dedicated experts?

Hire a specialist embedded with your team

Pre-vetted senior talent for this practice - hourly, retainer, dedicated FTE, or Micro-GCC. Vetted in 48 hours, managed end-to-end by H4H operations.

Power BI Developer Hire a Power BI Developer Tableau Developer Hire a Tableau Developer Domo Developer Hire a Domo Developer

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Frequently asked questions

Still have a question? Talk to a real human on our team - we usually reply within one business day.

Talk to a specialist

Why is my dashboard not driving decisions?

Three common reasons - too many metrics on one page, the wrong chart for the question, or no clear owner. We rebuild around 4-6 metrics that map to a specific decision, with one named owner per view.

Which BI tool should I pick - Power BI, Tableau, Looker, or Domo?

Depends on existing licensing, team skills, and use case. Power BI for Microsoft-heavy stacks. Tableau for visual depth. Looker for cloud-native and LookML. Domo for all-in-one. We pick by fit, not by what we sell.

How long does it take to build a dashboard suite?

A focused dashboard suite (4-8 dashboards) runs 4-8 weeks including discovery, build, UAT, and adoption review. Larger rollouts run longer.

How much do data visualization consulting services cost?

Project bands typically start in the low five figures for a scoped suite and scale with dashboard count. Retainer and FTE quoted separately.

What results can I expect?

Dashboards that get opened daily by the people who run the business. We have built dashboards that drove company-wide adoption (LegalZoom) and enabled 24-hour client onboarding (D.Luxury Brands).

Can you fix our existing dashboards instead of rebuilding them?

Sometimes. We start with an audit. If the foundation is sound, we refactor. If the foundation is broken, we rebuild - and explain why.

How do you handle dashboard performance?

We tune at three layers - the query, the model, and the platform. Caching, aggregations, incremental refresh, and materialized views all get used where they help. Target is sub-3-second load for executive views.

How is H4H different from a Power BI or Tableau partner?

Tool partners help you implement a tool. We help you decide what the dashboard should answer first, build the data layer underneath, and put the right tool on top.

Proof points

Related case studies

What we have shipped for clients with adjacent problems. Each one is sourced and attributable.

LegalZoom - Professional Services / LegalTech

Company-wide adoption from execs to department leads

Built data warehouse, pipelines, and a Tableau visualization layer balancing performance with drill-down to grain-level data.

Read case study

D.Luxury Brands - Agency / Luxury eCommerce

24-hour client onboarding via DigitalRX

Built DigitalRX, a proprietary dashboard pulling from 10+ platforms (GA4, Mailchimp, Meta, AdWords, Bing, Shopify, Klaviyo) for a luxury eCom agency's client portfolio.

Read case study

Related services

Ready to put your data to work?

Book a free audit and we will map the problem, the metrics, and the smallest first build that proves value.

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