[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 at line to let me know what you have planned (telliott at timoelliott dot com),
Data is the new oil? Absolutely! Toxic if mishandled…
Are we really ready for the consequences of networked home appliances and the Internet of Things?
What will happen when preventative maintenance meets health?!
Are you still torturing your data? There’s a better way:
What is a data scientist?
Data scientists are the new rock stars:
Careful your data lake doesn’t turn into a data swamp:
And make sure your various analytic efforts don’t turn into “data puddles“:
Big data marketing can be creepy:
What chance does data have?!
It doesn’t take a fortune teller to know that Predictive Analytics is the future.
Big Data might well be important for your next job:
What’s the real business benefit of in-memory processing?
The problem with most analytics is that it’s not fast enough
Hadoop is great — although they sometimes seem like they’re reinventing the wheel:
Finance isn’t sure about Hadoop, either:
Are you making the most of your dark data?
How much could YOUR organization save if you had reliable, consistent information?
Never let anybody tell you that failure is not an option…
Here’s one way to optimize data warehousing performance!
What’s next in Big Data? Well, I daringly predict that there will be more of it…
Data Privacy is important… please help.
A lot of analytics just seems completely made up:
Use the right technology for the right type of analytics…
Who’s data is it?
So you think YOUR definition of Big Data is the only correct one? Go jump in a data lake…
Are you SURE you want to complain about data privacy?
Some think that artificial intelligence is the next “killer feature”
We all need help justifying our opinions, right?
Do you spend too much time debating what terms mean in analytics, and not enough time actually dealing with problems?!
The three Vs of big data? (Volume, Velocity, Variety). All your boss cares about is the 4Ms — Make Me More Money!
No, I’m afraid we can’t just make it up — this is business, not politics!
I don’t like those facts… do you have any others?!
Are you so busy trying to build the perfect analytics infrastructure that you don’t actually spend time helping people with analytics?!
Analytics charts to take to a desert island?!
You can lead a boss to data, but you can’t make him think!
So far, our Big Data investments have just made your stupidity more scalable!
Are your analytics folks so incompetent that they can’t even juggle the numbers properly?!
“Your way sounds data-driven and rational. But I’m not!”
We already tried using facts — so now it’s time for a different approach!
How real-world executives often react to their new dashboards!
The data may well be on your side — but that might not be enough!
Executives can only avoid bad news for so long…
Next time your boss asks for a breakdown of the numbers?
It’s important to tell stories with your data and dashboards!
“Gut feel” has a long history in analytics! Are you doing it right, though?
Here’s the only speed-related metric that executives care about!
What’s the point of a data lake? It’s so you can drown in data even faster!
How the average analytics system works…
What most analytic architectures look like — shiny front end, horrible plumbing!
Is innumeracy a real problem in analytics?!