<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>greggyb</author><text>I agree with the article in broad strokes, but I think it focuses a bit too much on the data science portion. I work for a BI consultancy. There are so many enterprises where the measure of success in data analysis projects is being able to perform arithmetic accurately and in a timely manner.&lt;p&gt;Data science is a pipe dream for many companies currently. Having up-to-date sales figures that can be sliced by dimensions as simple as product hierarchy, customer, and region is a realistic goal for many of our clients.&lt;p&gt;I am not trying to discount data science. We have a data science practice that does some cool things, but it&amp;#x27;s so much smaller than the BI practice, because there&amp;#x27;s currently so much more opportunity for doing basic ETL correctly and simple reporting and dashboarding.&lt;p&gt;There are multiple clients who were looking for &amp;quot;real-time access to data&amp;quot;, which was actually synonymous with &amp;quot;automatic weekly refresh would make our lives so much easier. Right now we have to wait on $overworked_analyst to get this out monthly, and depending on workload that can lag by a week or two after the end of the month.&amp;quot; These are not exact quotes, but entirely accurate paraphrases.&lt;p&gt;This is the reality for so many organizations that I think sometimes falls out of context in an HN-like environment.</text><parent_chain></parent_chain></comment><story><title>Too many tools not enough carpenters</title><url>https://ckmadvisors.com/b/160212.html</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>Eridrus</author><text>Heh, I thought this was going to be another post about JS frameworks, where the title could be just as applicable.&lt;p&gt;Or just as applicable to cybersecurity, where hiring is a total disaster and not even well known&amp;#x2F;liked multi-billion dollar companies can&amp;#x27;t find enough good people.&lt;p&gt;Everyone agrees that you want good people, but you just can&amp;#x27;t find them because there are so few of them.&lt;p&gt;The ones who are really feeling the pain are hiring more junior people and trying to train them on the job, but you don&amp;#x27;t manage to successfully train them all, so you either need to fire them or find them something else to do, or you buy tools that let them leverage the skills they do have to provide something useful, and maybe they get better over time.&lt;p&gt;Reminds me of when I was an application security consultant and I thought Web Application Firewalls were really dumb since I knew several generic ways to bypass all the firewalls on the market, but 7 years later WAFs have gotten better, and consultants still haven&amp;#x27;t gotten any cheaper.&lt;p&gt;So while I&amp;#x27;m sure there is immaturity in the big data tools space, there is probably an 80&amp;#x2F;20 solution there that lifts much of the load off your skilled data science professionals.</text><parent_chain></parent_chain></comment><story><title>Too many tools not enough carpenters</title><url>https://ckmadvisors.com/b/160212.html</url></story>