Remove Digital Transformation Remove Forecasting Remove Measurement Remove Predictive Analytics
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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 10: COVID-19 | Evolving Trends of Digital Transformation

bridgei2i

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 10: COVID-19 | Evolving Trends of Digital Transformation. COVID-19 | Evolving Trends of Digital Transformation. My name is Vignesh, and I help companies succeed in their AI-enabled digital transformation. Listening time: 12 minutes.

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

The vast scope of this digital transformation in dynamic business insights discovery from entities, events, and behaviors is on a scale that is almost incomprehensible. Traditional business analytics approaches (on laptops, in the cloud, or with static datasets) will not keep up with this growing tidal wave of dynamic data.

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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance. Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes.

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The Impact of Healthcare BI Tools on Decision-Making and Patient Care

FineReport

These innovative solutions pave the way for future trends in healthcare, shaping the industry’s digital transformation journey. Furthermore, maintaining data security and compliance requires continuous vigilance and proactive measures to safeguard against potential vulnerabilities.

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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

They can provide valuable insights and forecasts to inform organizational decision-making in omnichannel commerce, enabling businesses to make more informed and data-driven decisions. These tools might dictate the priority of deliveries, predict order routing, or dispatch deliveries to comply with sustainability requirements. 

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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. We knew our journey with predictive analytics and sentiment analysis was going to be a gradual progression that would eventually help us understand and better serve our customers.

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Buy Your Embedded Analytics and Empower Your End-Users With the Right Data

Jet Global

In today’s environment, big data enables organizations to derive insights, forecast trends, and find new efficiencies using flexible and highly customized visual dashboards and reports. Analytics Maturity As your application becomes more successful, your users will want more capabilities.