{"id":7110,"date":"2015-03-03T21:26:43","date_gmt":"2015-03-03T20:26:43","guid":{"rendered":"http:\/\/timoelliott.com\/blog\/?page_id=7110"},"modified":"2025-12-10T10:29:46","modified_gmt":"2025-12-10T09:29:46","slug":"more-analytics-cartoons","status":"publish","type":"page","link":"https:\/\/timoelliott.com\/blog\/cartoons\/more-analytics-cartoons","title":{"rendered":"More Analytics Cartoons"},"content":{"rendered":"

[This is a follow on to the Analytics Cartoon<\/a> page]<\/p>\n

Please feel free to use these cartoons in your presentations, university courses, books etc, for free, as long as you drop me a line to let me know what you have planned (telliott at timoelliott dot com),<\/p>\n

Top\u00a0cartoon page here<\/a>, including links to\u00a0analytics cartoons<\/a>,\u00a0\u00a0more analytics cartoons<\/a>, yet more analytics cartoons<\/a> and\u00a0artificial intelligence cartoons<\/a>,\u00a0\u00a0marketing cartoons<\/a>,\u00a0social cartoons<\/a>,\u00a0innovation cartoons<\/a>, sustainability cartoons<\/a>, work frustration cartoons<\/a>, other cartoons<\/a>.<\/p>\n

Data is the new oil? Absolutely! Toxic if mishandled…<\/p>\n

\"Cartoon:<\/a><\/p>\n

A much better analogy is “data is the new soil” — it helps everything grow!<\/p>\n

\"A<\/a><\/p>\n

Are we really ready for the consequences of networked home appliances and the Internet of Things?<\/p>\n

\"Internet<\/a><\/p>\n

What will happen when preventative maintenance meets health<\/a>?!<\/p>\n

\"IOT<\/a><\/p>\n

Are you still torturing your data? There’s a better way<\/a>:<\/p>\n

\"Analytics<\/a><\/p>\n

What is a data scientist?<\/p>\n

\"Cartoon:<\/a><\/p>\n

Data scientists are the new rock stars<\/a>:<\/p>\n

\"Cartoon:<\/a><\/p>\n

Careful your data lake doesn’t turn into a data swamp<\/a>:<\/p>\n

\"Cartoon:<\/a><\/p>\n

And make sure your various analytic efforts don’t turn into “data puddles<\/a>“:<\/p>\n

\"we<\/a><\/p>\n

Big data marketing can be creepy<\/a>:<\/p>\n

\"marketing<\/a><\/p>\n

What chance does data have<\/a>?!<\/p>\n

\"Cartoon:<\/p>\n

It doesn’t take a fortune teller to know that Predictive Analytics is the future<\/a>.<\/p>\n

\"Predictive<\/a><\/p>\n

Big Data might well be important for your next job:<\/p>\n

\"Big<\/a><\/p>\n

What’s the real business benefit of in-memory processing<\/a>?<\/p>\n

\"Cartoon<\/a><\/p>\n

The problem with most analytics is that it’s not fast enough<\/a><\/p>\n

\"Cartoon:<\/a><\/p>\n

Hadoop is great — although they sometimes seem like they’re reinventing the wheel<\/a>:<\/p>\n

\"Cartoon<\/a><\/p>\n

Finance isn’t sure about Hadoop, either:<\/p>\n

\"Cartoon:<\/p>\n

\"\"<\/a><\/p>\n

Are you making the most of your dark data<\/a>?<\/p>\n

\"Dark<\/a><\/p>\n

How much could YOUR organization save if you had reliable, consistent information<\/a>?<\/p>\n

\"we<\/a><\/p>\n

\"Cartoon:<\/a><\/p>\n

Never let anybody tell you that failure is not an option…<\/p>\n

\"failure<\/a><\/p>\n

Here’s one way to optimize data warehousing performance!<\/p>\n

\"How<\/a><\/p>\n

What’s next in Big Data? Well, I daringly predict that there will be more of it…
\n\"big-data-prediction-wheel\"<\/p>\n

Data Privacy is important… please help<\/a>.<\/p>\n

\"You<\/a><\/p>\n

A lot of analytics just seems completely made up:<\/p>\n

\"bad<\/p>\n

Use the right technology for the right type of analytics…<\/p>\n

\"I'm<\/a><\/p>\n

Who’s data is it?<\/p>\n

\"no-it's-my-data\"<\/a><\/p>\n

So you think YOUR definition of Big Data<\/a> is the only correct one? Go jump in a data lake…<\/p>\n

\"one-definition-of-big-data\"<\/a><\/p>\n

Are you SURE you want to complain about data privacy?<\/p>\n

\"\"<\/a><\/p>\n

Some think that artificial intelligence is the next “killer feature”<\/p>\n

\"This<\/a><\/p>\n

We all need help justifying our opinions, right?<\/p>\n

\"what-opinion-can-i-help-you-justify\"<\/a><\/p>\n

Do you spend too much time debating what terms mean in analytics, and not enough time actually dealing with problems?!<\/p>\n

\"\"<\/a><\/strong><\/p>\n

Data is the new currency of business?!\"\"<\/a><\/p>\n

The three Vs of big data? (Volume, Velocity, Variety). All your boss cares about is the 4Ms — Make Me More Money!<\/p>\n

\"Cartoon:<\/a><\/p>\n

\"\"<\/a><\/p>\n

I don’t like those facts… do you have any others?!<\/p>\n

\"\"<\/a><\/p>\n

Are you so busy trying to build the perfect analytics infrastructure that you don’t actually spend time helping people with analytics?!<\/p>\n

\"\"<\/a><\/p>\n

Analytics charts to take to a desert island?!<\/p>\n

\"\"<\/a><\/p>\n

You can lead a boss to data, but you can’t make him think!<\/p>\n

\"executive-with-blinkers-525x700.jpg\"<\/a><\/p>\n

So far, our Big Data investments have just made your stupidity more scalable!<\/p>\n

\"big-data-investments-608x441.gif\"<\/a><\/p>\n

Are your analytics folks so incompetent that they can’t even juggle the numbers properly?!<\/p>\n

\"\"<\/a><\/p>\n

“Your way sounds data-driven and rational. But I’m not!”<\/p>\n

\"\"<\/a><\/p>\n

We already tried using facts — so now it’s time for a different approach!<\/p>\n

\"\"<\/a><\/p>\n

How real-world executives often react to their new dashboards!<\/p>\n

\"\"<\/a><\/p>\n

The data may well be on your side — but that might not be enough!<\/p>\n

\"\"<\/a><\/p>\n

Executives can only avoid bad news for so long…<\/p>\n

\"\"<\/a><\/p>\n

Next time your boss asks for a breakdown of the numbers?<\/p>\n

\"\"<\/a><\/p>\n

It’s important to tell stories with your data and dashboards!<\/p>\n

\"\"<\/a><\/p>\n

“Gut feel” has a long history in analytics! Are you doing it right, though?<\/p>\n

\"\"<\/a><\/p>\n

Here’s the only speed-related metric that executives care about!<\/p>\n

\"\"<\/a><\/p>\n

What’s the point of a data lake? It’s so you can drown in data even faster!<\/p>\n

\"\"<\/a><\/p>\n

\"\"<\/a><\/p>\n

How the average analytics system works…<\/p>\n

\"\"<\/a><\/p>\n

What most analytic architectures look like — shiny front end, horrible plumbing!<\/p>\n

\"\"<\/a><\/p>\n

Is innumeracy a real problem in analytics?!<\/p>\n

\"\"<\/a><\/p>\n

A heat map to keep you warm, some pie chart and a donut chart to eat, sipping your bar chart drinks while sitting at a data table, illuminated by the soft glow of the candlestick chart as the waterfall chart gurgles behind you… what more could you want?<\/p>\n

\"\"<\/a><\/p>\n

Hybrid? Best-of-breed? Or just ugly?!<\/p>\n

\"\"<\/a><\/p>\n

I have NEVER seen an organization that overinvested in data quality as part of their analytics projects — it’s ALWAYS a “surprise” about how much extra time and effort it takes than planned…<\/p>\n

\"\"<\/a><\/p>\n

Modern politics (and business?)<\/p>\n

\"Cartoon:<\/a><\/p>\n

Go back to the earlier\u00a0Analytics Cartoons<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

[This is a follow on to the Analytics Cartoon page] Please feel free to use these cartoons in your presentations, university courses, books etc, for free, as long as you drop me a line to let me know what you have planned (telliott at timoelliott dot com), Top\u00a0cartoon page here, including links to\u00a0analytics cartoons,\u00a0\u00a0more analytics […]<\/p>\n","protected":false},"author":2,"featured_media":12540,"parent":7229,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"class_list":["post-7110","page","type-page","status-publish","has-post-thumbnail","hentry"],"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/P3X9RF-1QG","_links":{"self":[{"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/pages\/7110","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/comments?post=7110"}],"version-history":[{"count":10,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/pages\/7110\/revisions"}],"predecessor-version":[{"id":22642,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/pages\/7110\/revisions\/22642"}],"up":[{"embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/pages\/7229"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/media\/12540"}],"wp:attachment":[{"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/media?parent=7110"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}