Leslie Anjan's blog

  You might already be using Power BI to create your dashboards and reports, but have you tried to create a real-time dashboard before? Typically, you need to set up a refresh schedule. What if you want to see your dashboard update live, as soon as fresh data comes in? This is where you can use a streaming dataset in Power BI, to view and act on your data in real-time. Here are some examples of times you could consider using a real-time dashboard: IoT devices: sensors, machinery. Anything with a constant flow of data you would like to view accurate information on. This is a great option for being able to detect anomalies in equipment. Collecting survey responses and viewing feedback immediately Viewing weblogs Inventory Management: monitoring stock levels Streaming datasets can be created from Power BI Service. When heading over to Power BI Service to create your streaming dataset, you have 3 types to choose from. The API option is the most...

  As a product line, Microsoft Office dates back nearly three decades, with early versions essentially combining Word, Excel, and PowerPoint into a discounted bundle. Microsoft 365 (previously known as Office 365), which has been available since 2011, differs from that old-fashioned bundle in two respects: First, it's sold as a subscription (billed monthly or yearly), rather than as a perpetual license with a fixed one-time payment. Second, it combines a suite of online services, including business-class email, cloud file storage, and secure communication tools along with the traditional desktop apps. Because it's a subscription offering, those desktop programs are updated automatically when a new version is available. If your subscription is current, you get the latest versions, with security releases monthly  and feature updates every six months, on the same calendar as Windows 10. Microsoft 365 is available in Family and Personal editions (previously known as Office 36...

How can it help you maximise the use of existing infrastructure and investment – specifically Office 365 and MS Teams, to address your current challenges and accelerate your journey to get to the next level of Digital Maturity Model of engagement  To explain that, lets first look at the traditional method of developing and delivering systems without delving too much into the different methodologies. Typically, the business would capture their requirements, and then decide to build (develop and validate) or buy (select and off the shelf application and configure it), then implement the system. Typically, this would take a significant time from start to finish. This may still be the route for implementing large scale deployments e.g. implementing a Manufacturing Execution System. But in terms of the following use cases, is there a new way : Automating a business process or workflow, that is largely paper based, involves people interacting with several systems, and also using tools li...

A few months ago, we released   Goals in the Power BI service .. Goals is a great addition to Power BI. Built directly on top of Power BI data, Goals provides a data-driven, collaborative, adaptable way of measuring and tracking progress on key business metrics. Goals enables teams to easily curate the business metrics that matter to them most, and to aggregate those metrics in an easy-to-grasp, unified view. Today we’re excited to announce that we’ve enabled Goals in the latest update of the Power BI mobile apps! Having Goals in your Power BI mobile app lets you monitor the health of your business directly from your smart phone, no matter where you are. You can also check in and update progress for goals from the app, helping you to ensure that the status of your KPIs are always up to date. To get started, get the latest update of your Power BI mobile app from the App store or GooglePlay. If Goals is enabled for your ...

Automate AI with Power BI Microsoft has released AI features for PowerBI and here are some of them. And no additional tools to be purchased: Just your good old Power BI with Premium Capacity. What is in it? Cognitive Services to tap into existing, powerful services of image recognition, sentiment analysis, and much more. Auto-ML to train a novel machine learning model for your data. AutoML automatically searches and tunes the best algorithm for your dataset. Azure ML Integration to integrate the machine learning models you have developed in Azure Machine Learning Studio, directly to your Power BI workspace. Power BI AutoML in action Let’s say that you have an online retail store, and you want to predict if your customers are going to purchase your products based on their interactions. Such a prediction is very important, as you can: Dynamically adjust your website’s response to the customers – especially convince the customers that may otherwise change their...