Organizations now have a tool to understand the “why’s, “how’s, and what’s” behind the most critical trends, shifts, and projections behind their successes and failures.
What will Africa look like in a hundred years?
The statistics gathered by The Telegraph’s 2016 article offer plenty of data points to answer the question.
These are observations like:
- “By 2100, [Africa] will be home to 4.4 billion.”
- “Such an increase – far larger than the global population increase of 53 percent by 2100 – will pose significant challenges.”
- “By 2050, more than half of Africa’s 2.2bn people will live in its rapidly expanding cities.”
And yet, despite their accuracy and precision, there’s something missing. How do you get people to imagine the scale of those numbers?
Do people actually care about the fact that the UN has issued a warning about the future of the continent, based on the fact that 71 African cities have a population of 750,000 and lack the infrastructure to support such large populations?
The answer is – it’s a toss-up.
Data visualizations offer readers the big “so what?” that they’re desperately seeking to learn from the myriad facts thrown at them. And it doesn’t stop there – when used in business intelligence, corporate decision-making, and trend analysis, companies using data visualization pin 20% of their earnings to these activities.
In this blog, you’ll learn the details of data visualization, how it’s used, and how you can harness data visualization to your advantage as it evolves.