📈 Data Analytics
Extended data collection has given us access to vast amounts of highly reliable (or unreliable) data. This gives us the opportunity to make our decisions and conclusions on a solid foundation. Companies can use analytics to improve user experiences and use data at hand to target the right people at the right time providing higher ROIs than ever before. On the other side, bad, disorganized or biased data can block even the best designs from being implemented correctly, or output faulty predictions when being used in modeling. It’s important to present the user with clear, correct, and relevant data at the right time.
👾 AI and Predictive models
Computing power has advanced and computers are now capable of independently drawing conclusions and making decisions based on these datasets. Machine learning and Artificial Intelligence are making waves as they can independently crunch big amounts of data and proactively serve clients with better advice than their human counterparts could ever give. Expect many business models to evolve towards using some kind of big data model in their decision-making.
Sustainability is not only a buzzword for solutions not impacting the environment, but people are also becoming more serious about things like privacy, government, and data protection.
Facebook and google allegedly abuse data
large-scale political manipulation happens through social media algorithms
Cheap products delivered from China cause ecological damage
It’s time to attach that eco-label as transparency in data policy, sustainability and pricing are now the most valuable trends we can observe.
As a result of these trends user experience linked to data quality, predictive models, security & privacy and adaptive content will be prominent.