Remove Data Strategy Remove Digital Transformation Remove Modeling Remove Prescriptive Analytics
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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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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

Hence the drive to provide ML as a service to the Data & Tech team’s internal customers. All they would have to do is just build their model and run with it,” he says. For that, he relied on a defensive and offensive metaphor for his data strategy. For now, it operates under a centralized “hub and spokes” model.

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Five Steps for Building a Successful BI Strategy

Sisense

A business intelligence strategy is a blueprint that enables businesses to measure their performance, find competitive advantages, and use data mining and statistics to steer the business towards success. . Every company has been generating data for a while now. The question is, what are you doing with it?

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

AI Adoption and Data Strategy. Lack of a solid data strategy. For the first, it is in best interest to do your own research, talk to friends, professionals and approach data services companies like ours. Data strategy allows you to build a roadmap to adopt AI. Artificial Intelligence Analytics.

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A Guide to Data Analytics in the Travel Industry

Alation

When companies lack a data governance strategy , they may struggle to identify all consumer data or flag personal data as subject to compliance audits. They may also suffer from data duplication, which undermines their analytics models. How is data analytics used in the travel industry?

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What Is Data Intelligence?

Alation

Data intelligence has thus evolved to answer these questions, and today supports a range of use cases. Examples of Data Intelligence use cases include: Data governance. Cloud Transformation. Cloud Data Migration. Digital Transformation. Data Intelligence and Data Governance.