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You’ve probably heard of Microsoft Purview somewhere. Buck Woody joins Patrick to highlight how Microsoft Purview can help you with data governance. From cataloging to lineage, Purview is a key component for your data strategy! Connect with Buck: https://twitter.com/BuckWoodyMSFT https://www.linkedin.com/in/buckwoody/ Microsoft Purview: https://learn.microsoft.com/en-us/purview/purview https://learn.microsoft.com/en-us/microsoft-365/compliance/?view=o365-worldwide https://learn.microsoft.com/en-us/azure/purview/

Something cool has just been announced for Azure SQL DB: the ability to call a limited number of REST APIs direct from TSQL. The announcement is here: There are code samples here: And guess what, t…

No More Copying/Pasting Passwords in Power BI Desktop Unlike Office Microsoft 365 desktop applications, Power BI Desktop doesn't keep track of more than one account at a time, which is quite annoying for people like myself who work across several tenants. Like many people I use a password manager, and for years I had to

A dummy’s guide to simplifying and understanding the Power BI Ecosystem

One of the biggest questions we get here at Viva Goals is: I understand the value of OKRs—but how do I actually make them work in my business?    We have a good answer for this one: By building OKRs into your organization's existing business rituals—like team meetings and town halls—and existing sys...

A conclusion and extra resources of the Power BI adoption roadmap series of articles.

Learn what to consider when designing and developing a robust BI platform.

Establish a Center of Excellence (COE) to drive strong and successful adoption of Power BI.

Establish a community of practice to help users drive strong and successful adoption of Power BI.

Power BI adoption roadmap conclusion7 minutes to read4 contributorsThis article forms part of the Power BI adoption roadmap series of articles. For an overview of the series, see Power BI adoption …

Explore 6 actionable steps that will help enhance and expand the analytics capabilities of your team with this insightful blog.

What kinds of things can we do to ensure adoption once the reports are live? One of the easiest ways is to host a regular “data café” surrounding the solution. In this article we examine why this is valuable.

Power Query Custom Data Connector for Power BI REST APIs (Commercial) - powerquery-connector-pbi-rest-api-commercial/README.md at main · kerski/powerquery-connector-pbi-rest-api-commercial

I’m thrilled to be co-presenting a full-day pre-conference session with the one-and-only Matthew Roche. We’ll be presenting our all-day session live and in-person in Seattle, Washington on Tuesday, November 15, 2022 at the PASS Data Community Summit.

Want to hear more about using the #PowerBI Adoption Roadmap? Join me and @SQLAllFather on Tues, Nov 15th (virtually or in-person). We'll focus on the most impactful things you can do to increase your adoption maturity level.My blog post with more info: https://t.co/cnuH7jWE3B pic.twitter.com/dpZ0RxPPwm— Melissa Coates (@SQLChick) October 31, 2022

Guidance for Power BI tenant settings.

Before Excel and other data-linked spreadsheets, business reports needed to be hand-crafted by IT experts, and changes were arbitrated slowly via change control. Power BI was designed to take the liberation that Excel pioneered to the max, by allowing 'power' users to not only to create Power BI desktop reports, graphics and visualisations in Power BI App, but then link and publish these to the Power BI app. These in turn can be given row level security and have their underlying data kept up-to-date so that users can log in and see the relevant and appropriate data in a browser. Saurabh Des...

In this series of blog posts, I will provide a step by step guide on how to become the change agent that puts your organization on a path towards continuous improvement using the most valuable decision support techniques. I prefer the term decision support over business intelligence since it emphasi...

Missed the previous parts of this series? See Become your organization’s strategic advisor by using Machine Learning and Power BI   Estimating the actual impact of an investment is an essential part of management. An investment, in this context, can be any change in resource allocation but is most o...

Power BI is a versatile tool, but there can be confusion as to who should use it and how when an organization begins to roll it out.

BI@Microsoft is a program inside Microsoft IT which is responsible for the BI tools Microsoft employees use. This blog post will look at how we are driving rapid internal adoption of Power BI and influencing the Power BI product group so that it builds a product that meets the needs of large enterprise customers.

All this talk all the time about Big Data and Advanced Analytics is all well and good, in fact it is something I do most of my time. The technology is there and has great potential. The biggest que…

We are happy to announce the technical reference implementation of an enterprise grade infrastructure to help accelerate the deployment of a BI and reporting solution to augment your data science and…

The organizational choice to implement Power BI often comes with the promise of self-service business intelligence. This can be interpreted in a number of ways, but tends to be represented as the ability of the business to query data with minimal involvement from IT. The reality, however, is not usually

A skills framework establishes common ground for conversations, even among people of wildly diverging perspectives.

This webinar will help you understand the stages of adoption and a methodology to drive adoption of self-service BI with the help of a structured approach.

Business Intelligence is way more than just software. It is a strategy. This article outlines the five elements that constitute a good BI discipline: Industry know-how, methodology, architecture, soft…

This wave of data technology revolution remains strong and companies of various sizes are actively building/expanding their Data Science…

In the context of digitalization, organization are deploying more and more data science projects.