Matthew Halliday predicts 2022

Matthew Halliday, Executive Vice President, Product Strategy and Co-Founder at Incorta is a veteran software engineer and data analytics expert, he co-founded Incorta in 2013 after more than 15 years at Oracle and several years managing products at Microsoft. With over 20 years of experience developing products and taking them to market, Matthew has served in several key roles across the company, playing a hand in nearly every aspect of Incorta’s growth and product development. An artist at heart, Matthew is drawn to technology in much the same way he is drawn to music and design, with a passion and vision that he brings to his work at Incorta every day. Matthew holds a degree in computer science from the University of Liverpool, where he graduated with honors. Halliday shares with us his predictions for 2022 about AI technologies, transformation analytics, the supply chain crisis, and understanding product profitability at the SKU level.

Prediction #1: AI Technologies Associated with Data Science Will be Used Increasingly by Data Engineers

Data engineers will increasingly use AI-based tools in their day-to-day work. To support this, more analytics vendors will incorporate AI programmatic capabilities in their platforms, opening up new opportunities for data engineers. This will also blur the line between data engineering and data science, providing new opportunities for innovation.

Prediction #2: The Most Transformational Analytics Use Cases will Come From “Citizen Analysts”

Due to their domain expertise, proximity to the business, and availability of new (tools|technologies), citizen data analysts will become the most important and influential individuals who work with data. This will lead to an explosion of new ideas and practical applications for data, marking the next big turning point for the industry.

Prediction #3: “Just-in-Time” Supply Chain Failures will Fuel Meteoric Rise of “Just-in-Time” Data Analytics

Faced with a full-blown supply chain crisis, companies will have to address long-standing issues in their data pipelines, bottlenecks, and other fragilities that prevent teams from gaining the visibility into supply chains they need to survive the decade. No longer held back by the gravity of legacy models, systems, and approaches, companies will embrace innovative new solutions in a bid to make “just-in-time” data analytics a reality for their businesses.

Prediction #4: Retailers Will Have to Understand Product Profitability at the SKU Level to Remain Competitive

Cascading supply chain disruptions in 2022 will force retailers to understand product profitability at the SKU level in order to remain competitive. As supply chain management becomes more analytically intense, companies that can segment and query complex data on the fly will gain a massive edge over the competition by reducing inventory costs while improving supply chain and operational efficiencies.