Tableau for open-ended analyst exploration, Power BI when you're deep in Microsoft and want tight governance. We build in both and will give you a straight recommendation.

Can you clean up an existing Tableau server?

Yes. A consolidation engagement typically retires half the workbooks and moves shared logic into certified sources.

Do you work with Tableau Cloud?

Yes, and with Server on-premises. The build differs mainly in refresh and gateway configuration.

How do you handle row-level security?

Through user filters or entitlement tables joined into the data source, depending on how your directory is structured.

Service

Tableau Dashboard Development

Tableau rewards people who want to explore. We build the governed data sources and the visual craft that make exploration safe.

Tableau's strength is the speed of asking a follow-up question. Its weakness is that everyone builds their own extract, and within a year the server holds four hundred workbooks with overlapping logic.

We build published, certified data sources first — modelled, tested, and documented — then design workbooks on top of them. Analysts keep the freedom to build their own views; the underlying numbers stay consistent.

On the design side we're deliberate: colour carries meaning, not decoration; charts are chosen for the comparison being made; and every dashboard has a clear reading order from headline to detail.

Problems this solves

What we usually walk into

The Tableau server is full of near-duplicate workbooks with different logic.
Extracts take hours to refresh and time out during month-end.
Dashboards look busy and executives can't tell what they're supposed to notice.
Analysts rebuild the same calculated fields in every workbook.

Technologies

What we build with

Tableau DesktopTableau Server / CloudSnowflakeSQLTableau Prepdbt

Industries that benefit

Financial services
Higher education
Healthcare systems
Retail and e-commerce
Insurance

Implementation process

How the engagement runs

Data source design

A certified, published source with tested joins, folders, and field descriptions.

Extract strategy

Incremental refresh, aggregation, and filter pushdown so refreshes finish in minutes.

Workbook build

Dashboards designed around a reading order, with actions and parameters for exploration.

Governance setup

Project structure, permissions, certification, and a naming standard people will follow.

Analyst enablement

Working sessions so your analysts extend the source instead of forking it.

Sample screens

What the finished work looks like

Representative layouts using demonstration data — client work is never shown without written permission.

Board scorecard

AUM

$1.2B

Net flows

+$46M

Fee %

0.78%

Board scorecard

Quarterly performance with variance to plan and prior year.

Cohort explorer

Cohorts

M12 ret.

81%

LTV

$4.1K

Cohort explorer

Retention by acquisition cohort with parameter-driven windows.

Segment contribution

Segments

Top 3

64%

Delta

+3.2pp

Segment contribution

Which segments drive the change, ranked and colour-coded.

Illustrative example

How a tableau dashboard development engagement typically plays out

Anonymised scenario · not a verified client record

Wealth management firm, $1.2B AUM

Challenge

Advisors pulled their own extracts, so quarterly client reviews sometimes showed AUM figures that didn't match the operations team's numbers by six figures.

Solution

One certified Tableau data source over the custodial feed, with incremental extracts, entitlement-based row-level security, and a redesigned advisor book-of-business workbook.

Result

Every advisor review now runs off the same certified numbers, and extract refresh time dropped from over three hours to under fifteen minutes.

Illustrative figures

3 hrs → 14 min

Extract refresh

Certified source

Workbooks retired

This is a composite illustration of the scope, approach, and range of results this service is designed to deliver. It does not describe a specific named client, and the figures are demonstration values rather than audited outcomes. We're happy to talk through real references under NDA on a call.

Deliverables

What you receive

Certified published data source with field documentation
Executive and operational workbooks
Tuned extract refresh schedule
Server project and permission structure
Analyst training session and style guide

FAQs

Questions we get asked

Tableau or Power BI?: Tableau for open-ended analyst exploration, Power BI when you're deep in Microsoft and want tight governance. We build in both and will give you a straight recommendation.
Can you clean up an existing Tableau server?: Yes. A consolidation engagement typically retires half the workbooks and moves shared logic into certified sources.
Do you work with Tableau Cloud?: Yes, and with Server on-premises. The build differs mainly in refresh and gateway configuration.
How do you handle row-level security?: Through user filters or entitlement tables joined into the data source, depending on how your directory is structured.

Related services

Often scoped alongside this

Business Intelligence Consulting

Strategic BI advisory, KPI definition, and analytics roadmaps.

View business intelligence consulting

Data Warehousing

Dimensional models on Snowflake, Fabric, SQL Server, and Azure.

View data warehousing

Executive Reporting

C-suite reporting cadences and narratives that drive action.

View executive reporting

Talk through your Tableau Dashboard Development project

A 30-minute call is usually enough to tell you whether this is a two-week fix or a two-month build — and roughly what it costs.

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