Power BI Governance & Administration - Naming Conventions
Blogging about Power BI, Power Platform and other things I find interesting.
BI Framework
Lenskart transforms the way it eyes data using Power BI
A direct-to-consumer omnichannel retailer, Lenskart, is one of the fastest-growing e-commerce-led eyewear retail chains in the world. It has over 1,100 stores in India and a growing presence in East Asia, Southeast Asia, the Middle East, and the US.Lenskart aims at giving a clearer vision to 1 billion people globally from children to adults. Its eyewear range offers a variety of lifestyle extensions and unique identities for athletes, working professionals, artists, support workers etc.
Introduction to Data Clean Rooms
Explore what data clean rooms are, why they're important, and how your organization can implement them in Snowflake - all in this blog!
Building an Actionable Data Strategy Framework for Healthcare Providers
Explore 8 essential steps that will help healthcare organizations plan and build a foundation for an actionable data strategy framework.
Reference Architecture for the “Landing Zone”, your indispensable foundation for scaling Power Platform — Andrew D Welch
The Power Platform Landing Zone is the beginning of the path to overcoming these barriers. A foundation, if you will, the Landing Zone is the initial technical infrastructure plus governance of that infrastructure that allows an organization to begin “landing” workloads in Power Platform. With that
Exploring App Audiences in Power BI — DATA GOBLINS
In this article, we explore Power BI App Audiences and why they are such a powerful feature for managing and using content in Power BI Apps.
Part 22: Bringing DataOps to Power BI
DataOps Principle #10: Orchestration
Microsoft's BI transformation - Power BI
Learn how Microsoft successfully drives a data culture for business decision making. It describes their strategy and vision for BI.
Power BI guidance from the CAT
If you’re reading this blog, odds are you’re already familiar with the Power BI documentation. If there’s a feature in Power BI, there are a set of articles that describe its capa…
Power BI guidance documentation | James Serra's Blog
Power BI Governance series – introduction
Power BI implementation planning: Tenant-level workspace planning - Power BI
This article introduces the Power BI workspace strategic planning decisions you should make at the tenant level.
Data & Analytics Partners: Navigating the Azure data services jungle - US Partner Community Blog - Microsoft
By Norm Nicholl, Cloud Solution Architect and Ryan Coffman, Cloud Solution Architect As Microsoft Azure matures and grows, its data capabilities become....
Questions to ask when designing a data architecture | James Serra's Blog
How to Become a More Data-Driven Organization
We interviewed over 100 leaders to learn more about the challenges companies face when making a shift to becoming more data-driven.
Power BI as a enterprise data warehouse solution? | James Serra's Blog
Data Literacy Visualization - in dev
Best practices for reusing dataflows across environments and workspaces - Power Query
Best practices for reusing dataflows across environments and workspaces
Power BI usage scenarios: Self-service data preparation - Power BI
Learn how Power BI self-service data preparation is about using dataflows to centralize data cleansing and transformation work.
Power BI usage scenarios: Enterprise BI - Power BI
Learn how Power BI enterprise BI is about organization-wide content distribution at scale.
Power BI usage scenarios: Customizable managed self-service BI - Power BI
Learn how Power BI customizable managed self-service BI is about creating new specialized datasets by extending and personalizing existing datasets.
managed self-service BI is characterized by a blended approach that emphasizes discipline at the core and flexibility at the edge.
However, when the core data architecture doesn't include all data required, dataset creators can extend, personalize, or customize existing shared datasets. New specialized datasets can be created that meet business requirements not met by existing centrally delivered datasets. Importantly, there's no duplication of core data. This usage scenario is called customizable managed self-service BI.
Sometimes self-service creators need to augment an existing dataset with, for instance, additional data that's specific to their department. In this case, they can use DirectQuery connections to Power BI datasets
This feature allows for an ideal balance of self-service enablement while taking advantage of the investment in centrally managed data assets. The scenario diagram depicts a DirectQuery connection
Power BI usage scenarios: Managed self-service BI - Power BI
Learn how Power BI managed self-service BI is about reuse of centralized shared datasets by other report creators.
Usually, there are many more report creators than dataset creators. These report creators can exist in any area of the organization. Because self-service report creators often need to quickly produce content, a blended approach allows them to focus on producing reports that support timely decision-making without the additional effort of creating a dataset.
The primary objective is for many report creators to reuse centralized shared datasets. To accomplish that, this scenario focuses on decoupling the model development process from the report creation process.
For simplicity, the scenario diagram depicts just one shared dataset. However, it's not usually practical to model all organizational data in a single dataset.
The other extreme is to create a new dataset for every report, as less experienced content creators often do. The goal of managed self-service BI is to find the right balance, leaning toward relatively few datasets and creating new datasets when it makes sense to do so.
hile reports are maintained by subject matter experts in the business units. However, that's not required. For example, this pattern can be adopted by any content creator that wants to achieve reusability.
Dimensions of Self-Service in Power BI: Part 1 — DATA GOBLINS
In this post, I write about the options for self-service tooling in Power BI. Which tools to use for which cases, by whom & why? I've found it's helpful to visualize the different dimensions of this, to know the options & understand user skill/solution paths.
Dimensions of Self-Service in Power BI: Part 2 - The Dimensions of Learning — DATA GOBLINS
In this post, I write about the learning paths users take when using self-service solutions in Power BI. Specifically, I illustrate a way to conceptualize these learning paths, making it easier to segment users and create meaningful training programs.
DATA VIZ — THE NITTY GRITTY
Data visualization is the practice of translating information into a visual context, such as a map or graph, to make data easier for the…
BI Team — Behind The Scene
Which specialists are required to build a BI-based system and what scope of work falls on each of their shoulders? — read about it in our…
Guidelines for Measuring Trust in Organizations (Updated)
Download (PDF): Guidelines for Measuring Trust in Organizations (updated 2013)IntroductionIn 2003, a coalition of organizations representing 50,000 public relations and communications professional
What does effective data insights communication look like?
Speed to value, speed to audience
Why data-driven culture is still a far-reaching goal for many organizations?
Challenges to the data-driven culture and how changes in the delivery model can help to achieve it
Data Literacy — 10 Things You Should Know
What is data literacy? What should you know to become data literate? We are about to answer these two questions that might be bugging you…