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Top 10 Analytics And Business Intelligence Trends For 2020

Data Pine

Over the past decade, business intelligence has been revolutionized. Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain.

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What’s the Difference Between Business Intelligence and Business Analytics?

Sisense

The sheer quantity and scope of data produced and stored by your company can make it incredibly hard to peer through the number-fog to pick out the details you need. This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal.

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

Data Pine

To work effectively, big data requires a large amount of high-quality information sources. Where is all of that data going to come from? The future is bright for logistics companies that are willing to take advantage of big data. For example, let’s say a truck is transporting a shipment of ice cream and desserts.

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Information Marts: Enabling Agile, Scalable, and Accurate BI

Astera

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively.

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 Top 5 Data Preparation Tools In 2023

Astera

While all data transformation solutions can generate flat files in CSV or similar formats, the most efficient data prep implementations will also easily integrate with your other productivity business intelligence (BI) tools. Manual export and import steps in a system can add complexity to your data pipeline.

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Cloud Data Warehouse: A Comprehensive Guide

Astera

Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. Cloud data warehouses are designed to handle complex queries and are optimized for business intelligence (BI) and analytics.

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What Is Embedded Analytics?

Insight Software

We hope this guide will transform how you build value for your products with embedded analytics. Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. that gathers data from many sources. CRM, ERP, EHR/EMR) or portals (e.g., It’s all about context.