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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

Now, the team’s information architects, in conjunction with business analysts, are working on the semantic layer, which feeds data from data warehouses and data lakes into data marts, including a finance mart, sales mart, supply chain mart, and market mart. Analytics, Artificial Intelligence, Data Management, Predictive Analytics

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Trending Technologies for BI & Financial Planning and AnalysisMaking AI Real (Part 2)

Jedox

Now, we will take a deeper look into AI, Machine learning and other trending technologies and the evolution of data analytics from descriptive to prescriptive. Analytic Evolution in Enterprise Performance Management. Advanced analytics responds to next-generation requirements. This is known as prescriptive analytics.

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Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue.

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Five Steps for Building a Successful BI Strategy

Sisense

With a goal of getting to the end of the chart with predictive and prescriptive analytics, you can ask questions like: Are we going to hit our targets by the end of the year? When working with customers we’ve found that a good place to start is with finance and sales data. Do you want to be more efficient?

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

BizAcuity

Combined, it has come to a point where data analytics is your safety net first, and business driver second. As a result, finance, logistics, healthcare, entertainment media, casino and ecommerce industries witness the most AI implementation and development. AI in Finance. AI applications can also be very niche specific.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

Government, Finance, … Tough question…mostly as it’s hard to determine which industry due to different uses and needs of D&A. As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. Does this promote efficiency? We see both too.

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What Is Embedded Analytics?

Jet Global

Diagnostic Analytics: No longer just describing. Predictive Analytics: If x, then y (e.g., Prescriptive Analytics: Here’s what to do to achieve a desired outcome (e.g., Prescriptive Analytics: Here’s what to do to achieve a desired outcome (e.g., Interest in predictive analytics continues to grow.