Leap before you lag: Data in nonprofit sector


Organisation:  IBM

Demand is rising for nonprofits to capture data that demonstrates their social impact and improves their decisions.

Posted On:  03 Aug . 2017
Leap before you lag: Data in nonprofit sector
 

What are the driving motivations, emerging trends and pressing challenges that non profit organizations face today? What methodology can they adopt to accelerate their impact and achieve full potential?

Breakthrough in technology and quick digitization of information have made access to data more handy, setting a new benchmark for the collection and sharing of information. Constant connectivity has transformed the nature of interactions, resulting in pressure for nonprofits to reach constituents in new ways and communicate impact. These movements, along with rising questions about artificial intelligence (AI), can paint an overwhelming picture on how to advance in data and analytics.

To assess the current state of data and analytics use in the nonprofit sector, IBM Corporate Citizenship and Corporate Affairs (CC&CA), in collaboration with the IBM Institute for Business Value, conducted a global study through April 2017

We found that organizations that are more advanced in data and analytics practices are more effective in driving performance against mission and achieving internal efficiencies. Despite the benefits of advancement, nonprofits are largely behind the curve, with 67 percent indicating they are in the preliminary stages of the analytics journey.

Respondents indicated that the nonprofit sector faces growing pressures on several fronts. In the past two years, the majority said they are increasingly pushed to advance data and analytics capabilities as part of meeting organizational objectives

To make meaningful advances, nonprofits need to commit to becoming data-driven, create a data-centered culture and collaborate effectively with partners, donors and others within their network. Organizations can begin to leapfrog ahead by:

• Capitalizing on advances in technology

• Upskilling staff

• Rationalizing use of internal and external talent

• Aligning funders to support data-driven practices

• Engaging in collaborative ecosystems.

For the detailed report, please click here

 

 

 

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