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Choosing Analytics Tools Print

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What to use.

WHAT MOST SMALL BUSINESSES NEED

A spreadsheet, and the reporting built into systems they already use.

WHEN TO CONSIDER MORE

Data volumes a spreadsheet handles poorly Several sources needing regular combination Dashboards several people use Analysis repeated identically each period

WHAT TO ASSESS IN ANY TOOL

Whether it connects to your actual data sources Whether anyone will operate it What it costs annually How you export your work

WHAT TO BE CAREFUL WITH

Tools requiring skills you do not have Tools that produce dashboards nobody reads Long commitments before you know you will use it

WHAT TO TRIAL WITH

Your own data, answering a real question.

Not a demonstration dataset.

WHAT MOST TOOL PURCHASES ACTUALLY SOLVE

Nothing, when the underlying problem is data quality.

THAT POINT

A tool applied to inconsistent records produces inconsistent answers, faster.

WHAT TO FIX FIRST

Collection and consistency.

WHAT TO ADOPT

The simplest thing that answers your questions.


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