This article is designed to go with my recent Data Stories Gallery submission, 3 Year Analysis of Gartner Magic Quadrant Leaders for Analytics and Business Intelligence. It's a rather lengthy title I know! Luckily however, the analysis was rather quick and easy. But, I thought that a few more insights could be shared around this than simply what appears in the Data Story Gallery posting or within the Power BI report.
We will create a custom connector in Flow that refreshes any dataset in PowerBI you want and you can use it with any other connector. Bonus, we can use it for calling other PowerBI API actions as well.
The web query feature "Web by Example" is one of the top 5 new features of 2018. This article demonstrates how to make this powerful feature even more powerful by turning the queries created by this technique into M functions, enabling you to quickly and easily build custom functions that can collect data via the web for sites that have data spread across similar individual pages.
You have millions of rows of data stored in your data warehouse, you have it accessible and available for business users and report users, but how do you effectively tell a story using all that data? How do you unlock the secrets and the potential your data has?
Check this blog post to get a summary of the webinar I did with Charles Sterling on the Power BI YouTube channel where you will learn tips & tricks on how to effectively visualize your data, the do’s and don’ts and how to present your data so questions can be asked and get answered in the same report.
I wanted to run through some fantasticvisualization techniquesthat you can incorporate into your Power BI models and reports. The first one is what I callMulti-Threadeddynamic visuals and the second one isMulti-Measuredynamic visuals.
Today, I wanted to cover in detail some fantasticscenario analysis techniquesyou can use inside of Power BI. Power BI is an amazing tool if you want to predict what may happen in the future or alternatively see what could have happened in the past based on certain variables changing in your data.
Are you working on big data and want to leverage the powerful capabilities of Power BI desktop? Then Incremental Refresh is a key feature to learn. It makes data refreshes faster and more reliable with less resource consumption.
With today'spostI wanted to run through some examples of how you cansolve errors in your totalswithin Power BI. Via theEnterprise DNA Support Forum, I get to see a lot of issues and requests that users who are working in Power BI Desktop have.
If you are creating some analysis inside of Power BI and you’re utilizing DAX measures, then having a superior understanding of howITERATING functionswork is very important. This is what this particular post will showcase to you - understanding how important these functions are.
In today's post, I wanted to cover a few examples of how you canincorporate financial years into your Power BI models and reports. Sometimes, your date tables won’t have the custom financial years that you require for your analysis. Not only could it be financial years but you might also need to bring into filters your financial quarters.
In Part 2 of this blog series, I will discuss the purpose of dedicated capcities and explain the differences between Power BI Premium and Power BI Embedded. I will also provide the neccessary details so you can choose the right type of dedicated capacity for a particular scenario.
In this post I wanted to go into a few financial reporting tips you can utilize inside Power BI. Many of you who have been using Power BI since it was re-released a few years ago know that financial reporting inside of the tables we were given has been relatively difficult.
Power BI provides developers with Platform-as-a-Service (PaaS) capabilities which make it possible to embed Power BI resources into custom applications. By learning to use a set of APIs created by the Power BI team at Microsoft, a developer can embed Power BI reports, dashboards and dashboard tiles into custom web applications that target the browsers, tablets and mobile devices.
Today, I want to talk aboutcumulative totals. I want to do a deep dive into a few ways that you can create these inside of Power BI. In this first tutorial, I want to show youthe most common patternwhich you can utilize to create cumulative totals in a dynamic way.
In this post, I want to dive into some of mybest practices for Power BI Desktop development. I think bringing all these ideas together will give you a very good understanding of how I like to approach all Power BI reporting and analysis that I complete myself.
Today, I want to touch on a really fascinating topic inside of Power BI. I call this one virtual tables. If you can start understanding how to incorporate virtual tables inside your DAX functions, you will quickly see the opportunities to extend your analysis even further.
Today I wanted to cover what I callSWITCH True logic. If you haven't used the SWITCH function yet, you certainly should be. It's a far superior way to write complex logic which is traditionally done with nested IF statements if you come from an Excel background.
In this post, I want to dive into how you can run analysis in Power BI with a non-standard calendar. This is quite a common occurrence out there because not everyone works on the standard calendar and standard months, weeks, quarters, etc.
In this detailed post, I wanted to focus on time patterns. I will show you four different examples of ways you can utilize time intelligence functions effectivelyinside Power BI. Hopefully, by going through these examples you'll see the versatility of this great grouping of DAX functions available to us inside Power BI.
As I see lots of ongoing questions and misinformed comments (“Power BI can’t be used for financial statements”). Here I will cover a simple approach how you can realize financial statements with dynamically calculated subtotals like profit and loss (P/L), balance sheet, cash flow etc.
Today, I want to run through a few different budgeting techniques and examples that you can use in Power BI. Running budgeting analysis in Power BI can sometimes become complex and difficult. The biggest reason is that a lot of times you're dealing with data at different granularities.
Merging tables with the same granularity in the query editor will return the same than a VLOOKUP in Excel. Do you know how to achieve this if there are multiple rows per key in the lookup table (and you just want to return the first ... or the last)?
Have you ever heard of the Pareto rule?It is the theory that says 20% of your customers or products will deliver 80% of your profits. I have created a short tutorial around the formula and visualization techniques you can use to effectively showcase this analysis inside of Power BI.