Remove Data Analytics Remove Data Governance Remove Data Quality Remove Prescriptive Analytics
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A Guide to Data Analytics in the Travel Industry

Alation

Why is data analytics important for travel organizations? 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? Travel can be stressful and emotionally fraught.

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

AWS Big Data

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

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

IBM Big Data Hub

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. 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. AI governance.

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Turn Data Into Business Intelligence With a Modern Data Platform

CDW Research Hub

They also aren’t built to integrate new technologies such as artificial intelligence and deep learning tools, which can move business to continuous intelligence and from predictive to prescriptive analytics. Another critical step is to create a framework to integrate your data. Easy Access with a Secure Foundation.

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

Andrew White

Governance. Risk Management (most likely within context of governance). Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question. See The Future of Data and Analytics: Reengineering the Decision, 2025. Value Management or monetization.