Remove Data Governance Remove Optimization Remove Prescriptive Analytics
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Your data’s wasted without predictive AI. Here’s how to fix that

CIO Business Intelligence

Prescriptive analytics: Moving from knowing to doing Prescriptive analytics answers the question: What should we do about it? This is where we blend optimization engines, business rules, AI and contextual data to recommend or automate the best possible action.

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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

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

AWS Big Data

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels.

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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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What is the Benefits of Real Time Data?

Jet Global

According to a recent Forbes article, “the prescriptive analytics software market is estimated to grow from approximately $415M in 2014 to $1.1B How Real-Time Data Enhances Decision-Making In today’s fast-paced business environment, the ability to make informed, timely decisions is a critical competitive advantage.

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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.

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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?