PROS 2020 Predictions: The Future of Data Science and What to Expect in 2020
Justin Silver,
The world of data science and analytics is a fast-moving space, and with each new advancement comes new capabilities across industries – be it in B2B or B2C, pricing or sales, distribution, manufacturing or logistics. At the heart of this progress is the need for businesses to provide their customers with the high-quality buying experience they have now come to expect and demand. Businesses are also motivated by the need to improve experiences for their employees and utilize data to augment internal operations. Data-derived insights can open up a world of opportunity, and while 2019 was an eventful year, these are the advancements we can look forward to in 2020.
Top Trends
Each year brings its own trends and, in some cases, disappointments when some highly anticipated advancements fall short. The first major trend we’ll see in 2020 is more organizations exploring and implementing automated machine learning pipelines, which have become a pivotal component of data science platforms. The tasks that keep data scientists busy day-to-day, such as data preparation, feature engineering, and modeling, will be further augmented by tools that help automate these steps, and we will see more systematic implementations of business solutions to make ad-hoc analyses more efficiently repeatable.