Long Read: The philosophical dispute between fundraising and data protection

At the end of 2016, when the ICO fined several charities for breaching the Data Protection Act 1998, Ian MacQuillin, wrote a fascinating philosophical piece on how charities are perceived by different types of people.

Even though this feels like a long time ago, it’s still as relevant today as it was back then. Whenever you feel that GDPR and data protection are not your friend, have a read of this.

https://criticalfundraising.wordpress.com/2016/12/21/opinion-the-philosophical-dispute-between-fundraising-and-data-protection/amp/

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Long Read: DPN Legitimate Interests Guidance – GDPR

The Guidance prepared by the Data Protection Network is a practical tool aimed at helping commercial and not-for-profit organisations to assess whether or not they can rely on Legitimate Interests as a lawful basis for processing personal data under the GDPR.

The Guidance covers:

  • Understanding what Legitimate Interests are
  • Identifying areas of processing where Legitimate Interests may apply
  • The Legitimate Interests Assessment (LIA) – the 3 stage test
  • Transparency and the consumer

https://www.dpnetwork.org.uk/dpn-legitimate-interests-guidance/

At last, clarity and sense about wealth screening, prospect research and updating addresses

Adrian Beney is back with an update on CASE’s work on providing guidance for charities for adopting GDPR best practise.

This document lays out in detail and with great clarity the circumstances under which these activities, regarded in recent years by some at the Information Commissioner’s Office as very controversial, can be carried out lawfully.

Follow the link below for full details.

https://www.linkedin.com/pulse/last-clarity-sense-wealth-screening-prospect-research-adrian-beney

Data Governance: 3 Key areas to focus your efforts

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/

The BIG 5 in fundraising performance metrics

Reinier Spruit discusses how we’re in the relationship building business and how we need to measure and register every response.

Ironically, we must quantify the relations with our donors, so we can improve the quality of the contact we have with them.

There are a ton of metrics we can track, and should track, like email open rates, sign-up rates per hour, one-off cash donations and appeal response rates. But there are 5 that are simply much more important. Mainly because they are the building blocks for making sensible decisions for the longer term.

I call them the Big Five. The Big Five are Volume, Expenditure, Income, Retention and Return on Investment.

Find out more by clicking the link below:

https://101fundraising.org/2014/05/big-5-fundraising-performance-metrics/

Learn Everything about Sentiment Analysis using R

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

How to Transition From Excel Reports to Business Intelligence Tools

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

A simple predictive score you can probably build in Excel

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/

The 4 Types Of Data Analytics

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:

  • Descriptive
  • Diagnostic
  • Predictive
  • Prescriptive

Follow the link below for more:

https://insights.principa.co.za/4-types-of-data-analytics-descriptive-diagnostic-predictive-prescriptive