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8 data strategy mistakes to avoid

CIO Business Intelligence

“Similar to disaster recovery, business continuity, and information security, data strategy needs to be well thought out and defined to inform the rest, while providing a foundation from which to build a strong business.” Overlooking these data resources is a big mistake. It will not be something they can ignore.

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Transforming Big Data into Actionable Intelligence

Sisense

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. displaying BI insights for human users).

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7 key Microsoft Azure analytics services (plus one extra)

CIO Business Intelligence

If you’re used to using SQL Server Analysis Services for business intelligence, Analysis Services offers that enterprise-grade analytics engine as a cloud service that you can also connect to Power BI. Azure Data Factory. The reason Azure has so many analytics services is so you can build your entire stack there. Microsoft.

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

The right data model + artificial intelligence = augmented analytics. However, when investigating big data from the perspective of computer science research, we happily discover much clearer use of this cluster of confusing concepts. Dig into AI. displaying BI insights for human users). displaying BI insights for human users).

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What is a Data Pipeline?

Jet Global

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.