Tableau specialists for your dedicated team.

Where Tableau fits in a long-term product team.

Tableau is exceptionally good at the moment when someone does not yet know what they are looking for. Building a view, noticing something odd and following it takes seconds, and that loop is where real analytical insight comes from.

It is weaker at enforcing one version of the truth. Logic lives in workbooks, workbooks multiply, and governance has to come from team conventions. The common resolution is a governed warehouse underneath and Tableau used for exploration on top of it.

What your dedicated team does with Tableau.

Exploration tools resist governance by design, which is fine until two dashboards disagree in front of a board. The resolution is not to constrain the tool but to make the numbers underneath it authoritative, so exploration starts from agreed definitions.

That puts most of the lasting work in the warehouse, handled through a dedicated data engineering team with analysts on the same agreement.

Common Tableau use cases.

• Investigating an anomaly Following a question through the data quickly, where a fixed report would require a change request.
• Extract performance Refresh strategy and extract design fixed where dashboards have become slow enough to avoid.
• Governance underneath Consistent definitions provided by the warehouse so exploration starts from agreed numbers.

Adding Tableau skills to your team.

Analyst capacity is assigned to a dedicated data science team, with warehouse work on the same agreement where the numbers underneath are the problem.

Tableau specialists join your team remotely as dedicated, full-time team members, selected, employed and managed by us in Chiang Mai and Bangkok. Companies that hire offshore developers through Azendo add the skill at the next monthly cycle.