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Big Data Modeling Improves Business Intelligence

The Data Administration Newsletter

Through big data modeling, data-driven organizations can better understand and manage the complexities of big data, improve business intelligence (BI), and enable organizations to benefit from actionable insight.

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Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

However, big data often encapsulates using constantly growing data sets to determine business intelligence objectives, such as when to expand into a new market, which product might perform overseas, and which regions to expand into. How Does Big Data Architecture Fit with a Translation Company?

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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. What are Information Marts?

Agile 52
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Include Embedded BI into Your Business Applications!

ElegantJ BI

‘Users can access familiar business applications while enjoying the capabilities and opportunities provided by augmented analytics – all within a single sign-on environment.’ Simple Tenant Management to deploy with a shared data model for single-tenant mode or choose an isolated data model for multi-tenant mode and SaaS applications.

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Include Embedded BI into Your Business Applications!

ElegantJ BI

‘Users can access familiar business applications while enjoying the capabilities and opportunities provided by augmented analytics – all within a single sign-on environment.’ Simple Tenant Management to deploy with a shared data model for single-tenant mode or choose an isolated data model for multi-tenant mode and SaaS applications.

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Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing

Astera

Only 5% of businesses feel they have data management under control, while 77% of industry leaders consider growing volume of data one of the biggest challenges. It allows you to adapt to fast-changing business requirements with an agile and incremental approach, avoiding the need for extensive re-engineering.

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Build Data Warehouse with Concentrated Teams

Astera

Data Architects : Define a data architecture framework, including metadata, reference data, and master data. . DW Analysts : Identify data requirements and help design databases for storing information from disparate sources. . Best Practices to Build Your Data Warehouse .