Deploying Power BI: Scaling from 5 to 5000
Introducing Agile Analytics
A Value-Driven Approach to Business Intelligence and Data Warehousing This article is the first chapter from the book Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehou…
Data Science projects management methodologies – Towards Data Science
In the context of digitalization, organization are deploying more and more data science projects.
Thoughts on Data Organization Strategy – Towards Data Science
This wave of data technology revolution remains strong and companies of various sizes are actively building/expanding their Data Science…
Business Intelligence (BI) Discipline | Pedro Innecco
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…
Power BI Adoption Framework Webinar: Part 1—Adoption | Microsoft
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.
A framework for evaluating data scientist competency
A skills framework establishes common ground for conversations, even among people of wildly diverging perspectives.
Why Data Scientists Must Know About Change Management
Organizational Approaches to Data Modeling with Power BI
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
Technical reference implementation for enterprise BI and reporting
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…
Deploying, Securing, and Updating Power BI Reports - Simple Talk
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...
Become your organization’s strategic advisor by us... - Microsoft Power BI Community
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...
Quantifying business impact of previous investment... - Microsoft Power BI Community
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...
Effectively Planning a Power BI Rollout
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.
Driving Power BI adoption in your organization – Learn how Microsoft does this at scale
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.
Roles in a data driven organization – Dutch Data Dude
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…