Remove Data Strategy Remove Digital Transformation Remove Prescriptive Analytics Remove Strategy
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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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Five Steps for Building a Successful BI Strategy

Sisense

Every business needs a business intelligence strategy to take it forward. . As the Global Team Lead of BI Consultants at Sisense, I can say that the projects I’ve worked on where a BI strategy was involved, were more successful than projects without a strategy. But what is a BI strategy in today’s world?

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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

The next goal, with the aid of partner Findability Sciences, will be to build out ML and AI pipelines into an information delivery layer that can support predictive and prescriptive analytics. “As For that, he relied on a defensive and offensive metaphor for his data strategy. The offensive side?

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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

As an industry with tight margins, travel and tourism companies can use analytics to detect trends that help them reduce costs, decide future product and service offerings, and develop successful business strategies. What are common data challenges for the travel industry? 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.