Remove Data Strategy Remove Digital Transformation Remove Measurement Remove Uncertainty
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Why Analytics Are Essential in Times of Crisis

Sisense

Now is the time to apply the full force of business intelligence used by analytics teams to help navigate growing uncertainty. Three clear opportunities are ripe to collect, analyze, and act on data: Maximize revenues: Identify drivers to increase sales by evaluating existing customers and processes. Efficiently focus resources.

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How Skullcandy Uses Predictive and Sentiment Analysis to Understand Customers

Sisense

Mark Hopkins is the Chief Information Officer at Park City, Utah based Skullcandy, leading the global IT, Digital, and Customer Service teams. With this integrated data tech stack, we could feed in text from customer reviews and warranty claims to be processed by a Python NLP Engine in order to pull out key themes. Lessons Learned.

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How Fifth Third Bank Implements a Data Mesh with Alation and Snowflake

Alation

At the recent webinar Fifth Third’s Journey to Data Mesh with Alation and Snowflake Kaleigh Lavorini , director of product ownership and data strategy at Fifth Third , explains that many people don’t know whether they’re a data source owner, or even where their data goes or who uses it. That’s a problem!

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PODCAST: AI for Digital Enterprise – Part 1- A Practitioner’s View on AI-Led Transformation in Manufacturing

bridgei2i

We have covered a whole range of topics around how enterprises are adopting AI and what it means for them in the context of digital transformation. Slowly and gradually, the industry trend shifted to the online sensors where you don’t have to run around just for the measurement. and data strategy.

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Systems Thinking and Data Science: a partnership or a competition?

Jen Stirrup

However, organizations can be supported by a synergistic approach by integrating systems thinking with the data strategy and technical perspective. How can systems thinking and data science solve digital transformation problems? How is it possible to enable data-driven decisions in a systems thinking approach?