Helping you to fundraise properly
This section covers everything from databases, data management and tech to help you raise money more efficiently.
Data governance is needed to ensure your organisation can consume data which has integrity and quality.
But how do you focus your efforts so that your governance programme can deliver the results needed?
Toochukwu Philip Ibegbu MBA shares with us how he was able to successfully launch data governance initiatives that made the most impact.
https://www.linkedin.com/pulse/data-governance-3-key-areas-focus-your-efforts-philip-ibegbu/
In this technical blog, Suresh Kumar Gorakala explains how to turn written comments into descriptive sentiment. This is extremely helpful when trying to categorise, segment and understand your audiences better.
This example focuses on Twitter comments, but this technique can be applied to any text field, including telephone call notes and emails.
http://www.dataperspective.info/2013/08/sentiment-analysis-using-r.html?m=1
Manually creating reports using Excel can be overwhelming to meet the organisational expectations for quality, insights, and velocity.
Many business intelligence tools exist: Tableau, Microsoft Power BI, Looker, Amazon QuickSight, Google Data Studio. However, moving from Excel to one of these tools can be more difficult than anticipated.
This blog by Thomas Spicer provides tips to help you create a methodology and a process that will help you find success with your new tool as you transition from Excel to a new analytics model.
https://dzone.com/articles/5-steps-to-making-a-transition-from-excel-reports
Many smaller fundraising and non-profit teams can’t make the investment to fully utilise analytics.
In this blog, the great Peter Wylie uses data from two schools to demonstrate how to build a very simple predictive score using nothing but Excel.
https://cooldata.wordpress.com/2016/07/05/a-simple-score-you-can-probably-build-in-excel/
If you’re struggling to adopt predictive analytics, this guide provides guidance on the initial steps to take to create nine segments based on capacity and propensity.
http://www.lesterusa.com/Powering-Annual-Giving-with-Predictive-Analytics.php
So, data analytics can help us to predict the future and find loads of people who will donate to our cause? Well, yes and no. But it’s a bit of a journey.
In this article, Thomas Maydon explains the four different types of data analytics:
Follow the link below for more:
This article by Becky Slack first appeared in the Guardian some time ago, but it’s still a great starting point for those interested in understanding how analytics can drive insight and aid decision making in non-profits.
Don’t be put off by data. It’s all about understanding your audiences. This guide contains some straight forward steps to get you started.
How can you tell a story with your data? Getting people interested in facts and getting them to take notice and understand their meaning can be a real artform. Here, Nayomi Chibana, shows a variety of visualisation techniques to inspire.
http://blog.visme.co/examples-data-visualizations/
Joei Chan describes in detail how you can give your social media strategy an added boost with some simple data metrics.
https://mention.com/blog/data-driven-social-media-marketing-strategy/
What kind of skills does a data scientist need to possess? What kind of data scientist do you need? This is a really useful guide by Bob Hayes for those who know and don’t know much about data.
http://businessoverbroadway.com/top-10-skills-in-data-science