In the modern world, data education is immensely important.
Data has become a fundamental part of how businesses operate. It’s also essential to consumers in going about their day-to-day lives.
And while organizations and consumers alike go about their business, data constantly ticks in the background, enabling the systems and processes that keep the world functioning.
Considering this, and with March marking Data Education Month, now seems the perfect time to highlight the importance of understanding data’s potential, its drawbacks and the most efficient ways to ensure its effective management.
In 2013, the total amount of data in the world was believed to have reached 4.4 zettabytes. For context, 1 zettabyte is equivalent to around 44 trillion gigabytes, or about 152 million years of UHD 8K video format.
By 2020, analysts predict the world’s data will reach 44 zettabytes. The sudden acceleration is truly staggering, and it’s businesses driving it.
Start-ups that find new ways to exploit data can revolutionize markets almost overnight. And as the frequency in which this happens increases, more and more pre-established businesses are also putting resources behind digital innovation.
By now, businesses should be more than aware of just how important a good data management strategy is. If you’ve yet to make a data strategy a central focus of the way your business operates, then chances are, you’re being left behind – and the gap is widening quickly.
So in honor of data education month, we’ve collated some of our top educational data posts, and a few others around the Web.
Read, comment, share and celebrate #DataEducationMonth with us.
The acceleration in the amount of data is staggering, and can be overwhelming for businesses. You should apply the Any² approach to cope.
Businesses need to prepare for changes to General Data Protection Regulation (GDPR) legislation, and our GDPR guide is a great place to start.
Instead of utilizing built for purpose data management tools, businesses in the early stages of a data strategy often leverage pre-existing, make-shift software. However, the rate in which modern businesses create and store data, means these methods can be quickly outgrown.
How the data vault method benefits businesses by improving implementation times, and enabling data warehouse automation.
Three data modeling experts share their advice, opinions and best practices for data modeling and data management strategies.
A business outcome approach to enterprise architecture can reduce times to market, improve agility, and make the value of EA more apparent.
Best practices to adopt to increase the likelihood of enterprise architecture’s success
Business process modeling helps to standardize your processes and the ways in which people communicate, as well as to improve knowledge sharing.
FAQ blog providing insight from top consultants into key issues impacting the business process and enterprise architecture industries.