Kickstep Technologies Services for Nonprofits
Some of the biggest technology-related challenges nonprofit organizations face today are:
- Infrastructure elasticity and recovery
- Data ingestion, transformation and archiving
- Limited access to data
- Ineffective use of data for research, analysis, marketing and planning
AWS cloud solutions such as Auto Scaling, CloudFormation, Amazon Kinesis, Direct Connect or Snowball, Amazon S3 or Glacier, Amazon RDS, Amazon Sagemaker, Amazon EMR and Redshift can help overcome these challenges.
Kickstep Technologies is an AWS Select Tier Consulting Partner and a leading cloud services firm that builds pragmatic cloud solutions for a variety of clients including nonprofits, healthcare and social impact organizations. We deliver end-to end solutions for non-profit organizations with transformation needs and a desire for innovation.
Kickstep Technologies has successfully delivered a number of Big Data, Migration and Development projects on AWS for non-profit organizations, including:
- Implementation of a large data lake on AWS for Analysis of Heterogeneous Data for non-profit donor analysis and targeting
- Migration of legacy applications to AWS to modernize and scale operations for non-profit Managed Care Organizations
- Implementation of non-profit clustering analysis to identify critical success factors in achieving strategic objectives
We can design, develop and build secure, highly available and scalable applications, websites, fundraising management systems, manage large databases, deploy data warehouses or build data lakes to help your nonprofit organization save time and money while improving efficiency and achieving your goals.
But this is also about your people and your organization. Our goal with our nonprofit customers is to always leave them in a situation where they have the right tools, training and processes to maintain and augment the solutions we build together. It is our culture at Kickstep Technologies to never abandon our customers, but we won't bleed you dry either.
