Remove Accountability Remove Big data Remove Definition Remove Metrics
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Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS

AWS Machine Learning

The player data was used to derive features for model development: X – Player position along the long axis of the field Y – Player position along the short axis of the field S – Speed in yards/second; replaced by Dis*10 to make it more accurate (Dis is the distance in the past 0.1

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21 Business Analysts & Call Center Leaders Reveal the Optimal Role of the Business Analyst in Call Center Operations

Callminer

They serve as a bridge between IT and other business functions, making data-driven recommendations that meet business requirements and improve processes while optimizing costs. That requires involvement in process design and improvement, workload planning and metric and KPI analysis.

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Scheduling Software for Call Centers: Buying Tips & Best Practices

Callminer

” – Workforce Management Software: The Definitive Buying Guide , Vairkko; Twitter: @vairkko. Make all your call center’s metrics a part of your scheduling process. “To enable superior forecasting and call center agent scheduling, it is essential that you keep a record and analyze call metrics regularly.

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Q&A recap: Driving customers to value during onboarding, at scale

ChurnZero

But when it feels like each customer has different goals and definitions of success, how do you create an onboarding program that caters to these individual needs and at the same time can scale? Q: Should the definition of first value be based on your team’s perspective or the customer’s perspective? Now, you’re not accountable.

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Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

AWS Machine Learning

Central model registry – Amazon SageMaker Model Registry is set up in a separate AWS account to track model versions generated across the dev and prod environments. Approve the model in SageMaker Model Registry in the central model registry account. Create a pull request to merge the code into the main branch of the GitHub repository.

Scripts 100
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Why Technology Won’t Help You Understand Your Customers

C3Centricity

A 2015 Capgemini and EMC study called “Big & Fast Data: The rise of Insight-Driven Business” showed that: 56% of the 1,000 senior decision makers surveyed claim that their investment in big data over the next three years will exceed past investment in information management. ” Bold words indeed!

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You’ve Got Data? Well Don’t Start There!

C3Centricity

A 2015 Capgemini and EMC study called “Big & Fast Data: The rise of Insight-Driven Business” showed that: 56% of the 1,000 senior decision makers surveyed claim that their investment in big data over the next three years will exceed past investment in information management. ” Bold words indeed!