Research

Inquiry Response: Feedback On A Job Description For A Data Engineer

By Eddie Satterly, Jul 05, 2021

Available to Research & Advisory Network Clients Only

Inquiry:

I’ve put together a list of responsibilities for the data engineer we’d like to find and hire, and I’d appreciate your advice. I lead analytics for enterprise operations—procurement, manufacturing, engineering—and we plan to migrate data and analytics to Azure.

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Inquiry Response: Moving Beyond Membership Analytics

By Steve Stone, Jun 28, 2021

Available to Research & Advisory Network Clients Only

Inquiry:

We have extensive loyalty club data and perform extensive membership analytics. What should we be thinking about when it comes to data monetization? What types of data governance are necessary for our current state? Beyond membership analytics, what are some common use cases we should consider focusing on next?

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Inquiry Response: Data Collection For The Digital User Experience

By Cory Underwood, Jun 21, 2021

Available to Research & Advisory Network Clients Only

Inquiry:

We are focusing on improving our digital user experience and would like to speak with someone who can help us better understand what data is available for us to collect at this point in time.

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Inquiry Response: Focus Here When Merging Analytics And BI To Support The Business

Jun 14, 2021

Available to Research & Advisory Network Clients Only

Inquiry:

We recently joined enterprise analytics and BI into one team. As we merge into one corporate support function, what should we focus on, especially when it comes to serving business lines and functions that also have embedded analysts?

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Inquiry Response: Planning For A Digital Customer Experience

By Keyur Desai, May 24, 2021

Available to Research & Advisory Network Clients Only

Inquiry:

We’re planning a microservices architecture to improve our digital customer experience. We’re moving towards a digital experience that it is curated and customized for a particular journey. What should we be thinking about?

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Inquiry Response: Starting An MLOps Organization From Scratch

May 17, 2021

Available to Research & Advisory Network Clients Only

Inquiry:

We’re working on MLOps for the first time. There’s been some machine learning (ML) work done in the business, but on an ad hoc basis. How do we start to evolve as a company such that we can begin to manage our ML work in more of an enterprise portfolio way?

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Inquiry Response: Maintaining Data Integrity and User Flexibility

By Tarush Aggarwal, May 10, 2021

Available to Research & Advisory Network Clients Only

Inquiry:

We are working to improve data management across the enterprise. How can we ensure data integrity while still allowing flexibility? We have a central team with analysts in the business units too.

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Inquiry Response: Adding Structure To Support Our Future Data Science Organization

May 03, 2021

Available to Research & Advisory Network Clients Only

Inquiry:

We’re creating a roadmap for our data science organization. What small steps should we take now in structuring and hiring to get us to where we want to be in five years? Specifically, we’re considering both a centralized and federated structure, and if we should focus on generalist or specialist data scientists.

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Inquiry Response: Focus On The Actual Value Of Predictive Models

Apr 26, 2021

Available to Research & Advisory Network Clients Only

Inquiry:

We’ve been challenged to identify a monetary value for our predictive models. Do we stick to talking about their potential value or is there another way to approach leaderships concerns about ROI?

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Inquiry Response: Challenges With Using IBM Cloud With Google Cloud

Apr 19, 2021

Available to Research & Advisory Network Clients Only

Inquiry:

We’re trying to stand up IBM Cloud Pak and will add Google Cloud Platform (GCP) later on. In order for it to work, IBM Cloud Pak needs to play well with both Hadoop and GCP. We’ve encountered a lot of issues connecting everything together. Is this normal? What can we do since we’re committed to the IBM Cloud Pak now?

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