<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="https://www.r-bloggers.com/data-science-from-a-strategic-business-perspective/"></div></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="http://r.prevos.net/data-science-business/"> The Devil is in the Data</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p><a target="_blank" rel="nofollow" href="http://r.prevos.net/data-science-business/melburn-2017/"><img sizes="(max-width: 300px) 100vw, 300px" data-image-description="" data-orig-file="https://i1.wp.com/r.prevos.net/wp-content/uploads/sites/11/2017/04/MelbuRn-2017.jpeg?fit=3264%2C1836" data-orig-size="3264,1836" data-image-title="MelbuRn 2017" class="wp-image-607" data-comments-opened="1" data-recalc-dims="1" data-attachment-id="607" data-permalink="http://r.prevos.net/data-science-business/melburn-2017/" alt="Data science from a strategic business perspective - The MelbuRn R user group." data-medium-file="https://i1.wp.com/r.prevos.net/wp-content/uploads/sites/11/2017/04/MelbuRn-2017.jpeg?fit=300%2C169" data-large-file="https://i1.wp.com/r.prevos.net/wp-content/uploads/sites/11/2017/04/MelbuRn-2017.jpeg?fit=584%2C329" data-image-meta="{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}" src="https://i1.wp.com/r.prevos.net/wp-content/uploads/sites/11/2017/04/MelbuRn-2017.jpeg?resize=300%2C169"></a>Last night I spoke at the <a target="_blank" rel="nofollow" href="https://www.meetup.com/MelbURN-Melbourne-Users-of-R-Network/events/238421859/">Melbourne R User Group</a> (MelbuRn) about data science from a strategic business perspective. It was great to see so many people attending.</p>
<p>My presentation outlined the strategy that I developed and am implementing for my employer Coliban Water. This strategy is based on a common-sense approach that leverages our existing strengths. This strategy was also outlined in an article for the <a target="_blank" rel="nofollow" href="http://digitaledition.awa.asn.au/?xml=Water_Journal_Secure&iid=150844#folio=70">Source</a> journal.</p>
<p>Water utilities are, pardon the pun, awash with data. For decades we have been using a rudimentary version of the Internet of Things called SCADA (Supervisory Control and Data Aquisition). This system controls our assets and provides operators and analysts with the needed data. All this data is used to control our systems and stored for future reference.</p>
<p>There is no such thing as ‘dark data’. All data has been used for its designated purpose when it was created. My job at Coliban Water is to create value from this information.</p>
<p>In this presentation, I explained how Coliban Water is creating more value from data by following a systematic strategy,</p>
<h2>Data Science Strategy Presentation</h2>
<p><iframe width="450" allowfullscreen="allowfullscreen" src="https://docs.google.com/presentation/d/1WPxJbbm58RfyX0SCjUSpxy4SSgk0sn9XXuU4Fag7kxU/embed?start=false&loop=false&delayms=3000"></iframe></p>
<p>The post <a target="_blank" rel="nofollow" href="http://r.prevos.net/data-science-business/">Data Science from a Strategic Business Perspective</a> appeared first on <a target="_blank" rel="nofollow" href="http://r.prevos.net/">The Devil is in the Data</a>.</p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://r.prevos.net/data-science-business/"> The Devil is in the Data</a></strong>.</div>
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