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How to know your customer using data

With more customer data available than ever before, teams can finally identify critical trends quickly and make smart pivots for faster growth. Learn how to apply these strategies during COVID in this blog.

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Predictions 2022: Four Data Analytics Trends You Should Know

by: Team Incorta

With 2022 right around the corner, it’s that time of year again: predictions season!

Will technology solve the global supply chain crisis? Will data engineers start using AI-based tools in their day-to-day work? Will “citizen data analysts” become the most influential people who work with data? Will retailers nail down product profitability at the SKU level?

To discuss these topics and much more, we brought together a few of our favorite visionaries and practitioners for a fun, forward-looking conversation about big data, analytics, cloud technology, and business in 2022 and beyond. Host Eric Kavanagh, CEO of The Bloor Group, was joined this year by Incorta co-founder and EVP of Product Matthew Halliday, Broadcom CIO Alan Davidson, and Ventana Research VP Matt Aslett.

Check out the on-demand replay here to find out how these visionaries are thinking about the future of data analytics in the year ahead. Here’s a sneak peek at the 2022 predictions that guided this insightful conversation:


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.


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.


“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” (JIT) data analytics a reality for their business.


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.


Watch On Demand

While nobody can predict the future, we can prepare for it by asking questions, sharing ideas, and learning from each other. So whether you are still planning for 2022 or have it all figured out, take some time before the new year to watch this great replay on demand. Your future self will thank you for it.