<?xml version="1.0" encoding="utf-8"?>
<feed xmlns="http://www.w3.org/2005/Atom"><title>Andrew Ridgway's Blog - Data Analytics</title><link href="http://localhost:8000/" rel="alternate"></link><link href="http://localhost:8000/feeds/data-analytics.atom.xml" rel="self"></link><id>http://localhost:8000/</id><updated>2023-07-13T20:00:00+10:00</updated><entry><title>Notebook or BI, What is the most appropiate communication medium</title><link href="http://localhost:8000/notebook-or-bi.html" rel="alternate"></link><published>2023-07-13T20:00:00+10:00</published><updated>2023-07-13T20:00:00+10:00</updated><author><name>Andrew Ridgway</name></author><id>tag:localhost,2023-07-13:/notebook-or-bi.html</id><summary type="html">&lt;p&gt;When is a notebook enough or when do we need a dashboard&lt;/p&gt;</summary><content type="html">&lt;p&gt;I want to preface this post by saying I think "Dashboards" or "BI" as terms are wayyyyyyyyyyyyyyyyy over saturated in the market. There seems to be a belief that any question answerable in data deserves the work associated with a dashboard when in fact a simple one off report, or notebook, would be more than enough.&lt;/p&gt;</content><category term="Data Analytics"></category><category term="data engineering"></category><category term="Data Analytics"></category></entry></feed>