Innlegg av: Justyna Lucznik

Introducing Goals in Power BI

Organizations exist to achieve business objectives and in today’s data driven world, we know that progress is measured through data. However, this is often challenging as goal tracking systems are disconnected from your business data and often require manual updates. Not only that, but goals need to be optimized for teamwork, tightly integrated into core business processes, and easily extended. We are very excited to announce the public preview of Goals in Power BI. Read more in this blog!

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Bringing more text analytics to the Bing News Solution Template

We are excited to announce support for ‘bring your own entities’ for the Bing News solution template! The Bing News template allows brand managers to find articles most relevant to them by filtering on sentiment, trending topics as well as entities like locations, organizations and people. One of the most common feature requests we received was the ability to define your own list of words and use that to slice your data. A product manager may want to e.g. create a list of products or company names and use that to slice and dice collected news articles. Read on to find out how you can incorporate your own entities into the news template today!

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Announcing the Advanced Search Solution Template for Bing News

Today we are excited to announce the advanced search solution template for Bing News (a counterpart to the Twitter template released last September). Upon defining a search term of interest, a brand manager can use our template to find and read the articles most relevant to them. The template extends the Bing News Search capabilities by allowing users to filter on things like sentiment, topics, as well as organizing data into known locations people and organizations. A brand manager can quickly drill into an entity to filter snippets and navigate to articles relevant to their search.

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Power BI & Azure ML Better Together

There has been a lot of interest in the analytics community to be able to visualize the output of an Azure Machine Learning model inside Power BI. To add to the challenge, it would also be great to operationalize Azure ML models through the Power BI service. Imagine you could have Power BI regularly bringing in the latest output of your fraud model or the sentiment for recent Tweets about your products. The following tutorial will outline a proposed approach for doing just that.

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