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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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Data Governance, Data Leadership or Data Architecture: What Matters Most?

Dataversity

Robert Seiner and Anthony Algmin faced off – in a virtual sense – at the DATAVERSITY® Enterprise Data World Conference to determine which is more important: Data Governance, Data Leadership, or Data Architecture. The post Data Governance, Data Leadership or Data Architecture: What Matters Most?

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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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Developing Agile Data Warehouse Architecture Using Automation

Dataversity

In the past, designing and developing a robust data warehouse that satisfied the need for timely and effective business intelligence (BI) was an overwhelmingly difficult task, as it required significant time, capital, and risk. In essence, agile […].

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Are Data Warehouses Still Relevant?

Dataversity

Over the past few years, enterprise data architectures have evolved significantly to accommodate the changing data requirements of modern businesses. Data warehouses were first introduced in the […] The post Are Data Warehouses Still Relevant?

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Building Resilient Data Ecosystems for Safeguarding Data Integrity and Security

Dataversity

Various factors have moved along this evolution, ranging from widespread use of cloud services to the availability of more accessible (and affordable) data analytics and business intelligence tools.

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Not All Embedded Analytics and BI Solutions Are the Same

Dataversity

To make your offering even more attractive, you’ve decided to embed analytics and business intelligence (ABI) into your product. Your enterprise software is outstanding in its functionality. You have a solid value proposition with your target market. So far, so good. But which embedded ABI solution will you select?