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Leverage your data and AI to start making smarter, more impactful decisions.
Data is a valuable asset that is key to maximizing revenue, operational efficiency and profit. It is also the key enabler for Artificial Intelligence (AI). Having a data management strategy and approach to managing your data assets is therefore critical to becoming a truly data-driven organization, unleashing the full potential of your data assets and unlocking all advantages of AI and business intelligence.
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Check out the latest news, articles, and events
Expert opinion
Find out everything that's being announced and discussed at the Snowflake World Tour events in 2025.
Blog post
Keyrus is proud to welcome new colleagues from Akili’s Enterprise Performance Management (EPM) delivery team into our Global EPM organization. This expansion immediately strengthens our FP&A and Oil & Gas expertise, supporting continued client demand and preparing us for the next step in our partnership with Anaplan.
Event
Keyrus is proud to be a sponsor and presenter as part of the AWS Nonprofit Impact Series
Webinar
Join Keyrus for a webinar tailored to the utilities/energy industry discussing Data Strategy.
Success story
Want to know how we used data modeling and dashboards to assess over 170 buildings' data? Read the full Case Study here.
Expert opinion
Ensure data quality and build a strong data foundation for AI. Learn how effective data preparation powers AI success, data analytics, and business-wide value.
Expert opinion
VMware costs are increasing for everyone, and an AWS Cloud Migration could be the solution for Non-Profit organizations.
Expert opinion
Are you going through or considering a Tableau Cloud Migration? Here are the 6 best practices you should follow.
Success story
Keyrus is proud to have partnered with Easterseals DC MD VA to help them overcome their data management challenges.
Blog post
As artificial intelligence continues to reshape industries, demand planning stands out as one of the areas where its impact is both immediate and long-term. The promise of AI—faster forecasts, better scenario planning, real-time responsiveness—is appealing. But how far along are organisations in realising that potential? And more importantly, what’s getting in the way?