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Future of Business Analytics: Trends Beyond 2026 & How to Adapt
Episode 21: The Future of Business Analytics
š Read the full article here: https://smartkeys.org/future-of-business-analytics-2/
In this episode of the SmartKeys podcast, we explore why looking at yesterdayās data is no longer enough to win tomorrowās market.
Based on the forecast "Future of Business Analytics: Trends Beyond 2026" by Felix Rƶmer, we discuss the massive shift from "Descriptive Analytics" (what happened?) to "Prescriptive Analytics" (what should we do?). We break down how AI agents and edge computing are transforming analytics from a passive reporting function into an active decision-making engine.
In this episode, you will learn:
The "Action" Gap: Why modern tools don't just visualize data but actively recommend and execute the next best step.
Agentic AI: How autonomous AI agents are taking the "driver's seat," automating entire data workflows from planning to execution without human hand-holding.
Analytics at the Edge: Why processing data instantly at the source (like IoT sensors) is crucial for low-latency industries like manufacturing and logistics.
AI TRISM: The new governance framework you need to adopt to ensure your AI models are fair, reliable, and secureāincreasing adoption success by 50%.
Democratization: How natural language interfaces allow anyone on your team to ask complex data questions without needing a degree in data science.
Stop driving using only the rearview mirror. Tune in to learn how to build a predictive, prescriptive intelligence engine for your business.
Resources mentioned:
š Visit SmartKeys: https://smartkeys.org
Note: This episode features an AI-generated conversation based on source material from SmartKeys.org
View all episodes
By SmartKeysEpisode 21: The Future of Business Analytics
š Read the full article here: https://smartkeys.org/future-of-business-analytics-2/
In this episode of the SmartKeys podcast, we explore why looking at yesterdayās data is no longer enough to win tomorrowās market.
Based on the forecast "Future of Business Analytics: Trends Beyond 2026" by Felix Rƶmer, we discuss the massive shift from "Descriptive Analytics" (what happened?) to "Prescriptive Analytics" (what should we do?). We break down how AI agents and edge computing are transforming analytics from a passive reporting function into an active decision-making engine.
In this episode, you will learn:
The "Action" Gap: Why modern tools don't just visualize data but actively recommend and execute the next best step.
Agentic AI: How autonomous AI agents are taking the "driver's seat," automating entire data workflows from planning to execution without human hand-holding.
Analytics at the Edge: Why processing data instantly at the source (like IoT sensors) is crucial for low-latency industries like manufacturing and logistics.
AI TRISM: The new governance framework you need to adopt to ensure your AI models are fair, reliable, and secureāincreasing adoption success by 50%.
Democratization: How natural language interfaces allow anyone on your team to ask complex data questions without needing a degree in data science.
Stop driving using only the rearview mirror. Tune in to learn how to build a predictive, prescriptive intelligence engine for your business.
Resources mentioned:
š Visit SmartKeys: https://smartkeys.org
Note: This episode features an AI-generated conversation based on source material from SmartKeys.org