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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

That step, primarily undertaken by developers and data architects, established data governance and data integration. 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.

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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

The market for business intelligence services is expected to reach $33.5 Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. Prescriptive Analytics. billion by 2025.

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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? What is the market segment we should focus on? When working with customers we’ve found that a good place to start is with finance and sales data.

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Four starting points to transform your organization into a data-driven enterprise

IBM Big Data Hub

IBM Cloud Pak for Data Express solutions provide new clients with affordable and high impact capabilities to expeditiously explore and validate the path to become a data-driven enterprise. IBM Cloud Pak for Data Express solutions offer clients a simple on ramp to start realizing the business value of a modern architecture.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. faster time to market, and 19.1%

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A Guide to Data Analytics in the Travel Industry

Alation

What types of data are collected? With data analytics , travel organizations can gain real-time insights about customers to make strategic decisions and improve their travel experience. 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

It asks much larger questions, which flesh out an organization’s relationship with data: Why do we have data? Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more.