Showing posts with label BI. Show all posts
Showing posts with label BI. Show all posts

Friday, July 8, 2016

World Class Data Organizations and SQL Server 2016


World Class Data Organizations (WCDO) intentionally invest in and build their data cultures to create business value. These businesses integrate data into daily activities beyond report or dashboard reviews. Employees know what data elements represent, how to access them, and how to use them to create new insights.



WCDO and SQL Server 2016 (pdf) presents the primary characteristics and activities of WCDO's and expands on some of the features of SQL Server 2016 designed to enable those activities.

This is the slide deck presented on June 30, 2016, and the beginning of a series of presentations I will deliver on this topic.

Saturday, June 11, 2016

Power BI Best Practices - Strategy

I've been asked to present Power BI best practices to a client on Monday. This two post series is part reference to great articles and partly my own insights on the topic, some gained by painful experience. Part one, below, addresses BI project strategy and part two covers tactics:

#1 Find a significant business need and address it.
To start out using best practices it is wise to begin with the operating environment. The Business.
 Your BI solution is a system designed to address a business need, it is not a stand alone project. The opportunities for BI solutions are numerous. The ComputerWorld Weekly article by Forrester in August of 2013 shows a chart that categorizes business needs from BI. This chart also shows that many, if not most BI programs miss on these outcomes. Don't forget to address these objectives as you design, build and implement your solutions.

Forrester BI best practice chart

#2 Address the business opportunity where BI can make the most impact with the least delay.
Find the need, then partner closely with sponsors, other stakeholders, and most closely with those who will use your system, to define and deliver success. Without these three levels of buy-in throughout the project you are at significant risk of delivering a product that doesn't fulfill expectations.

Identify data sources and their availability to determine feasibility of this project. If there are significant challenges in data gathering or validation for this project - identify them, determine responsible parties in the business to resolve the issues (use your company's Data Governance organization or create one) and then either find other data or find other opportunities. Do not get bogged down by data issues, this can kill a BI project.

#3 Iterate to quickly deliver solutions to the business. 
Every week that you wait to deliver as you perfect or add features to the BI solution is a week that the business doesn't have visibility to their information. Produce the minimum viable product, test it thoroughly and validate the results, then get it to your business partners. Their feedback on the "incomplete" product will be invaluable as you continue to develop your solution and they will quickly benefit from your hard work.

#4 Find a BI tool that best supports the business need, then design a solution that supports users.
A 2014 article on CIO.com "9 Common BI Software Mistakes" calls out selecting a tool in isolation as one of the worst BI mistakes. Invest your time and money in a tool that will fit business requirements, work with the business to validate your selection. The overriding objective of any BI solution is to deliver a system that users find helpful. Then, build your solution with the user in mind.

Do you have other strategic concerns that must be addressed when beginning BI projects? Please comment or share your thoughts.

The next post in this short series addresses tactical issues related to the development of a specific BI solution.