Tableau

Tableau, on records you can already trust.

Tableau is the view on the data the org already has. We implement it after the records can be trusted.

Salesforce consulting partner since 2010 · MVP Hall of Fame · 200+ agents in production · UAE, India and US desks

Before and after

A dashboard on a dirty org is a prettier argument.

Dashboard first

Records first

Two dashboards, two answers to the same question
One definition per number, written down
An analyst rebuilds the same extract every month
The extract runs itself from the org and the warehouse
Leadership asks which number is right
The Monday questions have one view each
The warehouse and the org are joined in a spreadsheet
Analysts own the workbooks after handover

In the org

What this cloud is actually for.

Tableau is the view on the data your org already holds, plus the sources outside it. We implement it after the records can be trusted, because a dashboard on a dirty org is a prettier version of the same argument. Your analysts own the workbooks after handover.

Who this is for

Three desks where the number stopped moving.

Tableau when the records are true. Often a list view and a forecast first.

  • Example

    Finance analyst at a Riyadh contracting group

    Today: Every month-end she merges the CRM export with the ERP by hand.

    After: One connected view of the org and the warehouse refreshes before the month-end meeting.

  • Example

    COO at a Dubai multi-brand restaurant group

    Today: Each brand reports covers and complaints in its own sheet.

    After: One view per outlet, with the same definitions across brands.

    Restaurants and cafes
  • Example

    Sales operations manager at a Chicago insurance brokerage

    Today: The board pack and the sales dashboard show different premium totals.

    After: One definition of written premium, used by both.

Examples of the work, not case studies. Roles and cities are typical of the desks we see.

Architecture

Where this cloud sits in your agent architecture.

Analytics reads the memory plane. It does not make the records true.

Find your week

From one email to a desk that works.

The same path for every cloud. No number before the process is clear. The honest no: if the work is a software factory with a named delivery date, we are the wrong partner.

  1. Today

    Send the situation

    One email: the cloud, the desk, and the week that hurts. A reply within 24 hours.

  2. Week one

    Read the org

    Read-only access: the dashboards in use, the numbers people argue about, and whether the objects behind them are true.

  3. End of week one

    The written note

    What is worth building, what is worth finishing, and which cloud earns the seat. Often fewer than you were quoted.

  4. Then

    A fixed price for one named piece

    Scoped after the read. Week one is credited in full when the build is signed within 60 days.

  5. Go-live

    Your team owns the desk

    Handover to the people who run it. The Run plan if you want someone on it after go-live.

Questions

What we actually say.

Do you start with dashboards?
No. We start with whether the objects are true. Tableau on a dirty org is a prettier lie.
Does this replace reports in Salesforce?
Sometimes. Many desks only needed a list view and a forecast they believe. We will say which.
Who owns the workbooks?
Your analysts, after handover. We do not operate the BI desk.

The brief

Send the situation.

Name the cloud. Name the week. The assessment is free: a short read of the org and a written note. If you go ahead, the first build week is a fixed AED/SAR 14,900 (about USD 4,050), credited in full when you sign the build within 60 days.