Listen "Episode 48: Hybrid Cloud for Planning, Reporting and Analysis"
Episode Synopsis
Episode 48: Hybrid Cloud for Planning, Reporting and Analysis
Guest: Mike Cowie
It’s the summer of 2021 and IBM has been airing a series of TV commercials on something called “hybrid cloud”. One of them features racing driver Jamie Chadwick asking “why should your business go hybrid?”, and concluding “... so you can focus on, you know, winning!”.
As specialists in extended, integrated planning and analysis, QueBIT’s mission is to help our clients win by having the data, models and tools they need to plan with agility, and make better decisions faster. While the vision sounds simple, the reality gets complicated especially as businesses nowadays have so much more data from a variety of systems. While the starting point is often to integrate your planning and reporting system with your ERP, it’s not the destination. Along the way, you may want to pull in data from many other systems, likely from a variety of vendors and applications, especially if you want to get to AI and machine learning-enabled use cases like predictive demand forecasting or predictive assortment planning.
In this podcast episode we talk about IBM Cloud Pak for Data which is a hybrid cloud toolset that is tailor-made for enabling businesses to easily get value from their data, wherever it resides. As always we focus on understanding the proposition from a practical business point of view.
Guest: Mike Cowie
It’s the summer of 2021 and IBM has been airing a series of TV commercials on something called “hybrid cloud”. One of them features racing driver Jamie Chadwick asking “why should your business go hybrid?”, and concluding “... so you can focus on, you know, winning!”.
As specialists in extended, integrated planning and analysis, QueBIT’s mission is to help our clients win by having the data, models and tools they need to plan with agility, and make better decisions faster. While the vision sounds simple, the reality gets complicated especially as businesses nowadays have so much more data from a variety of systems. While the starting point is often to integrate your planning and reporting system with your ERP, it’s not the destination. Along the way, you may want to pull in data from many other systems, likely from a variety of vendors and applications, especially if you want to get to AI and machine learning-enabled use cases like predictive demand forecasting or predictive assortment planning.
In this podcast episode we talk about IBM Cloud Pak for Data which is a hybrid cloud toolset that is tailor-made for enabling businesses to easily get value from their data, wherever it resides. As always we focus on understanding the proposition from a practical business point of view.
More episodes of the podcast Ask QueBIT About Analytics
Episode 61: ESG and Sustainability Reporting
01/09/2022
Episode 60: Analytics Shorts: 3 Stories
21/07/2022
Episode 58: Whatever happened to IBM Watson?
19/05/2022
Episode 57: How to be a Transformative CFO
14/04/2022
Episode 56: Predictive Planning for Finance
31/03/2022
ZARZA We are Zarza, the prestigious firm behind major projects in information technology.