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Cloud analytics migration: how to exceed expectations

CIO Business Intelligence

A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making.

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Price Optimization in E-Commerce

Analytics Vidhya

Introduction Price optimization is a critical component of e-commerce that involves setting the right prices for products to achieve various business objectives, such as maximizing profits, increasing market share, and enhancing customer satisfaction.

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Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets

Occam's Razor

" "What is a dimension in analytics?" There seems to be genuine confusion about the simplest, most foundational, parts of web metrics / analytics. Definitions and standard perspectives on these terms will be covered in this post: Business Objectives. The objectives must be DUMB : Doable. Dimensions.

Metrics 140
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The targeted approach to cloud and data CIOs need for ROI gains

CIO Business Intelligence

“Online will become increasingly central, with the launch of new collections and models, as well as opening in new markets, transacting in different currencies, and using in-depth analytics to make quick decisions.” Vibram certainly isn’t an isolated case of a company growing its business through tools made available by the CIO.

ROI 119
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Predictive Analytics: 4 Primary Aspects of Predictive Analytics

Smart Data Collective

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. The applications of predictive analytics are extensive and often require four key components to maintain effectiveness. Data Sourcing.

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Build a strong data foundation for AI-driven business growth

CIO Business Intelligence

By partnering with industry leaders, businesses can acquire the resources needed for efficient data discovery, multi-environment management, and strong data protection. To fully leverage AI and analytics for achieving key business objectives and maximizing return on investment (ROI), modern data management is essential.

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Pitching a DataOps Project That Matters

DataKitchen

DataOps addresses a broad set of use cases because it applies workflow process automation to the end-to-end data-analytics lifecycle. Your data consumers are focused on business objectives. They need to grow sales, pursue new business opportunities, or reduce costs. Find Unhappy Analytics Users.