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13 Analytics & Business Intelligence Examples Illustrating The Value of BI

datapine

Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success.

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5 Ways Layered Navigation Improves Business Intelligence Strategies

Smart Data Collective

One of the biggest advantages is that big data helps companies utilize business intelligence. It is one of the biggest reasons that the market for big data is projected to be worth $273 billion by 2026. Companies are finding more creative ways to employ data analytics to improve their business intelligence strategies.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

The rise of SaaS business intelligence tools is answering that need, providing a dynamic vessel for presenting and interacting with essential insights in a way that is digestible and accessible. The future is bright for logistics companies that are willing to take advantage of big data. Now’s the time to strike.

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Welcome To The Digital Age: BI Meets Social Media

Smart Data Collective

One of the many ways that data analytics is shaping the business world has been with advances in business intelligence. The market for business intelligence technology is projected to exceed $35 billion by 2028. What is Business Intelligence? Many companies are following her direction.

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Move Beyond Excel, PowerPoint And Static Business Reporting with Powerful Interactive Dashboards

datapine

An interactive dashboard is a data management tool that tracks, analyzes, monitors, and visually displays key business metrics while allowing users to interact with data, enabling them to make well-informed, data-driven, and healthy business decisions. The data option will show the raw data behind a chart.

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Business Leaders Make the Case for Data Science

Dataiku

Led by Conor Jensen of Dataiku, a panel of esteemed industry leaders discussed the case for strong data science foundations in their respective spaces.

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What is data architecture? A framework to manage data

CIO Business Intelligence

Data architectures should integrate with legacy applications using standard API interfaces. They should also be optimized to share data across systems, geographies, and organizations. Real-time data enablement. Be decoupled and extensible.