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Data Lakes Meet Data Warehouses

David Menninger's Analyst Perspectives

In this analyst perspective, Dave Menninger takes a look at data lakes. He explains the term “data lake,” describes common use cases and shares his views on some of the latest market trends.

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Key finding from Forrester’s latest BI research including The Forrester Wave™: Augmented Business Intelligence Platforms, Q2 2023

Boris Evelson

Enterprise business intelligence (BI) continues to be the last mile to insights-driven business (IDB) capabilities. No matter what technology foundation you’re using – a data lake, a data warehouse, data fabric, data mesh, etc. The BI market has […]

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Breaking down Business Intelligence

BizAcuity

Data allowed Guinness to hold their market dominance for long. Now, businesses, regardless of the industry, are leveraging data and Business Intelligence to stay ahead of the competition. Business Intelligence. We get critical business insights based on how well we leverage our business data.

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Enable business users to analyze large datasets in your data lake with Amazon QuickSight

AWS Big Data

Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva harnesses data to improve their business outcomes. As part of their solution, they are using Amazon QuickSight to unlock insights from their data.

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Data Lakes: What Are They and Who Needs Them?

Jet Global

To address the flood of data and the needs of enterprise businesses to store, sort, and analyze that data, a new storage solution has evolved: the data lake. What’s in a Data Lake? All the while, your marketing team is relying on marketing automation or CRM software they find the most productive.

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Why Business Intelligence is Top of Mind for CFOs for 2022

Jet Global

The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. As the cost benefit ratio of BI has become more and more attractive, the pace of global business has also accelerated.

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Use External Data Platform to Improve Analytics

David Menninger's Analyst Perspectives

Our research shows that more than three-quarters (77%) of participants consider external data to be an important part of their machine learning (ML) efforts. The most important external data source identified is social media, followed by demographic data from data brokers.

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