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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

That resulted in server farms, collecting volumes of log data from customer interactions, data which was then aggregated and fed into machine learning algorithms which created data products as pre-computed results, which in turn made web apps smarter and enhanced e-commerce revenue. Newer work in machine learning (e.g.,

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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

No matter if you need to develop a comprehensive online data analysis process or reduce costs of operations, agile BI development will certainly be high on your list of options to get the most out of your projects. The term “agile” was originally conceived in 2011 as a software development methodology.

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Fact-based Decision-making

Peter James Thomas

In our modern architectures, replete with web-services, APIs, cloud-based components and the quasi-instantaneous transmission of new transactions, it is perhaps not surprising that occasionally some data gets lost in translation [5] along the way. See in particular my trilogy: Using historical data to justify BI investments – Part I (2011).

Metrics 49
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Showpad accelerates data maturity to unlock innovation using Amazon QuickSight

AWS Big Data

Showpad built new customer-facing embedded dashboards within Showpad eOSTM and migrated its legacy dashboards to Amazon QuickSight , a unified BI service providing modern interactive dashboards, natural language querying, paginated reports, machine learning (ML) insights, and embedded analytics at scale.