Research

Inquiry Response: Working Towards Machine Learning Products with MLOps

By IIA Expert, Sep 28, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

As we work towards our goal of deploying more machine learning (ML) models into production, how do we position our MLOps needs to the organization? What needs to happen for MLOps to be successful?

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Inquiry Response: Tips for Writing an Analytics Strategy

By IIA Expert, Sep 07, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

I’m writing an analytics strategy for digital transformation. We have multiple product lines, but I decided to start with writing the strategy, with use cases and a roadmap, for only one division. Should I include the other product lines too? How much detail should I include?

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Inquiry Response: Sourcing Analytics Projects for University Partners

By IIA Expert, Aug 31, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

I’m in charge of our university partnership group that works on data science projects with affiliated universities. My challenge is the internal coordination piece of it. How can we get meaningfully data-based research questions surfaced in a large organization? And then how do we move them forward? This initiative is the brainchild of the CEO, which also adds a level of complexity.

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Inquiry Response: Tips for Small Data Science Teams and Targeted Marketing

By IIA Expert, Ahmer Inam, Aug 24, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

We have a small, centralized data science team that performs machine learning (ML) analysis for marketing insights into our various brands. Our data scientists are overwhelmed with their workloads. Do you have any organizational or Azure architectural tips that could help us to help them? Also, for marketing activities, how can we improve our individual targeting?

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Inquiry Response: Working Alongside Agile Teams

By IIA Expert, Michael Bewley, Aug 17, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

Our data science team works alongside a strict Agile data engineering team and we’re finding collaboration to be difficult. Do you have any suggestions?

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Inquiry Response: Paid Promotion Optimization with Low Price Elasticity

By IIA Expert, Mike Gamage, Aug 10, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

We’re concerned about paid promotion optimization for a brand of products with low price elasticity. Currently we put them on discount when our competitors do. Now we’re wondering if this is the best strategy. How can we improve our data to make better decisions?

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Inquiry Response: Transitioning to a Data Lake

By IIA Expert, Mo Chaara, Aug 03, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

We plan to transition to a data lake to generate future business value by enhancing analytics and reporting. Unfortunately, we’re struggling to see how to get this done and the end value.

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Inquiry Response: Best Practices For Working With Stakeholders

By IIA Expert, Kristy Mayer-Mejia, Jul 27, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

We have a project management office (PMO) for our data and analytics team. This is a new role and aligning with the businesses in a more formal way is a new concept for us. Do you have any best practices for working with stakeholders?

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Inquiry Response: Moving Forward With Data Scientists In Our Sales Org

By IIA Expert, Bernie Smith, Jul 20, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

We’re finally at a point where we have data scientists within the sales organization who can work on advanced analytics. However, we’re struggling with how to get the business knowledge to the data scientists and move forward. How have you solved this dilemma?

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Inquiry Response: Tips For Successful Data Consolidation

By IIA Expert, Eddie Satterly, Jul 13, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

We are working on a data consolidation project in which we’re replacing four old ERP systems with a new ERP system. We’re concerned with managing customer data from the different systems and prepping ourselves for advanced analytics in the future.

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