What’s the ROI of a Graph Technology Investment?
It’s an exciting time for graph technology. The benefits of graph data platforms are quickly being realized by many – all the way from the Fortune 100 to plucky citizen data scientists. Graph is opening doors to never-before possible efforts in data exploration and data management, accelerated time to value and to digital transformation efforts.
Speaking of value, one thing we realize at Neo4j is that with innovative technologies like our graph data platform, it can sometimes be difficult to quantify the business value that organizations can expect. Even basic assumptions about return, costs, and risk over time can be hard to compile because graph technology is making things possible that were previously impossible.
Whether you are a CIO, CTO, a director of data science, or a developer working on a prototype, at some point it can be handy to have a credible, real-world example of the return on investment your organization can capture from Neo4j to support your business case.
And from what you’ve told us, an independent, outside voice can be helpful in determining these assumptions.
Forrester Consulting conducted a Total Economic Impact assessment (TEI) on Neo4j’s graph data platform. Forrester’s approach has been in play for over 20 years. It’s a proven industry-standard framework that looks at four pieces of the puzzle when evaluating investment value: cost, benefits, flexibility, and risk. It also takes into account associated impact on the business, both positive and negative, and projects the ROI of products and services.
The approach is rooted in an objective custom research study based on interviews with Neo4j customers, some suggested by us, and some independently sourced. Forrester does not endorse a company or its solutions, and maintains editorial control over the content.
Key results of the TEI study on Neo4j’s graph data platform:
- Neo4j can pay for itself more than 4x in the span of three years (417 percent ROI)
- Composite customers realized improved business results of 20 percent on average
- Accelerated Time-to-Value (TTV) up to 60 percent
- Digital transformation cost savings
You can also hear directly from Forrester. Watch featured guests, Forrester’s Noel Yuhanna and Mary Barton, provide an executive summary of the TEI study’s methodology, key findings, and quantified results in this video.
Finally, check out The Forrester Wave: Graph Data Platforms, Q4 2020, where Neo4j is named a leader in Graph Data Platforms.