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IT@Intel: Staying Committed to Server Refresh Reduces Cost
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Why DataOps is key for achieving sustainability goals
According to the International Energy Agency, the manufacturing and power sectors account for 63% of energy-related CO2 emissions worldwide.
However, sustainability in manufacturing is not just about cutting CO2 and SO2 emissions. While industrial processes are a big contributor, data processing and storage is also an important part of the sustainability equation.
Read on to learn how manufacturers can support their sustainability goals while potentially increasing production and why DataOps is crucial for success.
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Improve your feature prioritization with these strategic frameworks
Feature prioritization is crucial for developing products that meet customer needs and business goals. This e-book explores frameworks for decision-making, including Value vs. Complexity Quadrant, MoSCoW method, Weighted Scoring, Kano model, and R.I.C.E. method.
The guide tackles challenges like:
· Relying on assumptions over data
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· Maintaining strategic focusLearn to structure feature requests, gather insights, and evaluate success through metrics. Explore this e-book to enhance your feature prioritization and deliver impactful products.
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Predictive analytics: Empower business users
In order to make critical decisions, business users need access to analytics tools that they can understand in order to gain insight into everyday problems and help prevent failures in the future.
This resource discusses how interactive data discovery and predictive analytics technologies can empower business users to make smarter, data-driven business decisions faster. Learn how to:
- Identify new trends and relationships in historical data sets
- Quickly share results with colleagues
- And more
