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Pitching a DataOps Project That Matters

DataKitchen

DataOps addresses a broad set of use cases because it applies workflow process automation to the end-to-end data-analytics lifecycle. These benefits are hugely important for data professionals, but if you made a pitch like this to a typical executive, you probably wouldn’t generate much enthusiasm.

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My top learning and pondering moments at Splunk.conf22

Rocket-Powered Data Science

Observability is a business strategy: what you monitor, why you monitor it, what you intend to learn from it, how it will be used, and how it will contribute to business objectives and mission success. Splunk Cloud Platform Dashboard. But the power, value, and imperative of observability does not stop there.

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. KPIs indicate areas businesses are on the right track and where improvements are needed.

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The 10 Essential SaaS Trends You Should Watch Out For In 2020

datapine

While this is indeed food for thought, it’s important to remember that not every solution will suit an API-based unbundling business model. If you’re looking to improve your data analytics processes, in particular, unbundling is unlikely to be the answer. 9) A Mobile-First Mindset.

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New regulation intensifies focus on IT risk management and operational resilience

CIO Business Intelligence

Moreover, it also applies to all the IT services firms that provide critical functions like cloud hosting, payment processing, data analytics, and other digital services to these financial institutions. In addition, BMC Helix dashboards provide DORA-focused insights and generate reports tailored to DORA-specific requirements.

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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

datapine

In a slightly more technically-driven role, a BI developer is responsible for building, creating, or improving BI-driven solutions that help analysts transform data into knowledge, including data dashboards. The role of a business intelligence engineer is incredibly rich, varied, and demanding.

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Build a real-time analytics solution with Apache Pinot on AWS

AWS Big Data

In essence, it’s the foundation for user-centric data analysis in modern apps, because it’s the layer that translates technical assets into business-friendly terms that enable users to extract actionable insights from data. Business metrics – Providing KPIs, scorecards, and business-relevant benchmarks.

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