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CIO Ryan Snyder on the benefits of interpreting data as a layer cake

CIO Business Intelligence

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. This is where we select visualization tools, for example.

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Using Data to Adapt Your Workforce

Sisense

We provide actionable advice around how organizations, and ultimately the builders of data and analytic apps, are adjusting to meet these changes. Once data is un-siloed, combined data sources can give a rich visualization around recruitment efforts, beyond the simple cost-to-hire numbers. Nurit Shiber, Chief People Officer, Sisense.

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KPI Dashboard during Covid and Beyond

BizAcuity

Advanced analytics lets you segment and profile patrons, better understand their buying behaviors and attitudes, anticipate their desires, and fulfill them. As a result, promotional expenses are significantly reduced and customer retention builds due to better-focused marketing campaigns and offers.

KPI 52
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KPI Dashboard during Covid and Beyond

BizAcuity

Advanced analytics lets you segment and profile patrons, better understand their buying behaviors and attitudes, anticipate their desires, and fulfill them. As a result, promotional expenses are significantly reduced and customer retention builds due to better-focused marketing campaigns and offers.

KPI 52
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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. By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. Artificial Intelligence Analytics.

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Deliver AI-Powered Analytics Apps on Cloud-Native Sisense

Sisense

And while cloud-native architecture is paramount to drive the future of analytics apps, AI is also a critical component in order to reduce manual, repetitive steps during data prep and give business users the ability to gain new insights from which they can take action. Release Q3 2019 Summary.

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Modern Data Architecture for Telecommunications

Cloudera

It is an edge-to-AI suite of capabilities, including edge analytics, data staging, data quality control, data visualization tools, and machine learning. Key design principles include: Multi-cloud and on-premises Cloudera is the only hybrid data platform that spans multi-cloud and on-premises data management and analytics.