What does PUWER aim do?

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Big Data is a term that describes the sheer volume of data, both structured and unstructured, that floods businesses every day. But it’s not the amount of data that’s important. What matters with Big Data is what organizations do with the data. Big Data can be analyzed for insights that lead to better decisions and strategic business moves.

In most cases, in order to use Big Data effectively, it must be combined with structured data (usually from a relational database) from a more conventional business application, such as an ERP (Enterprise Resource Planning) or CRM (Customer Relationship Management).

Big Data analytics helps organizations leverage their data and use it to identify new opportunities. That, in turn, leads to smarter business moves, more efficient operations, higher profits and happier customers. The most successful companies with Big Data achieve value in the following ways:

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So we have constantly embraced new technologies to make our energy more reliable, more affordable and more sustainable – from introducing the first smart meter to becoming the world’s largest producer of renewable energy.

We are now at the dawn of an exciting new era for energy, one that is open to participation, where everyone is connected and has the chance to get involved and tackle the world’s great challenges. As a global leader in the energy sector, we are guiding the energy transition from fossil to renewable sources. An energy transition that is fair and accessible to all.

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Openness is the key element of our strategy. That is why we are ensuring our services to many more people in many more countries, boosting local economies and expanding access to energy.

“Open Power for a brighter future: we empower sustainable progress”, is the meaning of our daily commitment, the deep reason that motivates the community of our people. We are Open Power to improve the future for all, for sustainable progress, so that no one is left behind, to make the planet a more welcoming place for generations to come. We are Open Power to address some of the world’s greatest challenges through an approach that couples sustainability with maximum innovation.

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If you have been able to capture data from your team, either with your video analysis tool, with InStat, or even through Excel templates, and you want to get into Big Data tools, don’t miss this Power BI mini-tutorial brought to us by David.

PowerBI is a Business Intelligence tool that allows us to visualize, explore and analyze data in an accessible way and with a multitude of features. Among the most recognizable features of this solution are:

There are hundreds of formats and visualizations in Power BI. This is just an example. Try interacting over the image and you will see how the result dynamically changes, allowing the receiver (in this case, the technical staff or whoever) to navigate through the data and draw conclusions.

As for the main differences between the first two contracting options, basically, although at first it may seem that the jump from one tariff to another is not justified, it consists of having shared work options in models and reports and being able to keep the data updated automatically.

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Goals in Power BI allow customers to monitor their metrics and track them against key business objectives, all in a single dashboard. This feature enhances data culture by fostering accountability, alignment and visibility of teams and initiatives across organizations.

The top section contains the objectives of most interest. Power BI monitors these goals automatically, based on goals that are assigned to you, that you have edited, or that you have made a recent record of.

Currently, users must have edit permissions for the dashboard to add the inserts to the repository. The updated dashboard and target level permissions are in place. They will allow insert permissions in the repository without edit permissions for the dashboard.

You can only update manual target values. If a target value is connected to data, it cannot be updated manually. The data is extracted directly from the report and updated with the same frequency as the dataset.

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