Remove Data mining Remove Data Strategy Remove Digital Transformation Remove Strategy
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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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What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations.

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Data traction: Is your company a “data thriver” or just a “survivor”?

CIO Business Intelligence

Simply collecting data isn’t enough – it needs to be collated, stored and analysed effectively and efficiently so that the trends and intelligence it holds can be trusted to formulate strategy. This is known as data traction. Mining for gold. In a data economy, there are winners and there are losers. Thrivers v.

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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. (Source: PwC). Applications of AI.

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How to Choose the Best Analytics Platform, and Empower Business-Driven Analytics

Grooper

Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. C-level executives and professionals alike must learn to speak a new language - data. ISL is a crucial factor to empower digital transformation and decrease the threat of disruption.

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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.