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July 24, 2023
5 min read

How Two Forbes Top 20 Businesses Transformed Their Core Rules Engines

Andrew

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In today’s rapidly evolving business landscape, agility and efficiency are crucial for staying competitive. To achieve this, businesses rely on rules engines to automate decision-making processes efficiently and consistently. However, traditional rules engines often face challenges like complexity, slow adaptability, and high maintenance costs, hindering businesses from unleashing their true potential.

Enter TigerGraph’s Graph Rules Engine, a revolutionary approach to rule-based operations that empowers businesses to break free from the limitations of traditional rules engines. In this blog post, we will explore how TigerGraph’s cutting-edge technology has transformed the way two Forbes top 20 businesses operate, paving the way for enhanced performance, substantial cost savings, and unparalleled agility.

The Challenge of Traditional Rules Engines:

Traditional rules engines have long been the backbone of critical decision-making processes in various industries. Whether it’s product customization, customer eligibility, or asset maintenance, rules engines have provided businesses with the means to streamline operations. However, as businesses grow and evolve, these rule sets become increasingly complex, leading to a multitude of challenges:

  • Slow to Adapt: Modifying rule sets can be a cumbersome and time-consuming process, leading to delayed responses to market changes and shifting business priorities.
  • Difficult to Explain: Complex rules raise concerns about the confidence in individual decisions and the ability to explain their functioning, posing potential organizational risks.
  • Expensive to Maintain: Traditional rules engines require a team of experts to maintain and update them, resulting in significant operational costs.

The Power of Graph Databases:

TigerGraph introduces a game-changing solution to these challenges by leveraging the potential of graph databases. Unlike traditional relational databases, a graph database structures information as networks of connected data points, allowing businesses to efficiently represent their products, customers, and operations. This unique approach enables a specialized network called a “tree of decisions,” wherein the rule tree connects seamlessly with the data graph as illustrated in this visual.

 

Key Benefits of TigerGraph’s Graph Rules Engine:

  • Enhanced Manageability: By encoding logic as a graph, businesses gain a comprehensive overview of the interdependencies between various logical units. This visual representation simplifies the management of complex datasets and facilitates quick and confident decision-making.
  • Rapid Adaptability: The graph-based approach allows for agile rule set modifications, enabling businesses to respond promptly to market changes and emerging edge cases.
  • Cost-Effectiveness: With a simple, 30-line recursive program, TigerGraph’s Graph Rules Engine operates efficiently, reducing data transformation and minimizing system load. This results in improved data security, reduced latency, and cost savings in the maintenance process.

Success Stories:

TigerGraph’s Graph Rules Engine has already made a significant impact on two Forbes top 20 enterprises:

Global Top 5 Healthcare Insurer: By applying rules to determine the suitability of drugs for specific patients, the insurer saves millions of dollars by funding only the most cost-effective treatments.

Global Top 5 Technology Business: The company utilizes rules to ascertain product warranty coverage, leading to millions of dollars in savings through effective product repairs and improved aftermarket service.

TigerGraph’s Graph Rules Engine has revolutionized the way businesses approach rule-based operations. By leveraging the power of graph databases, businesses can overcome the limitations of traditional rules engines, achieving unmatched agility, cost-effectiveness, and operational efficiency. As demonstrated by two Forbes top 20 enterprises, TigerGraph’s innovative solution is a game-changer in today’s dynamic business environment. To experience the power of TigerGraph’s Graph Rules Engine, businesses can explore the options of cloud or on-premises deployment. Reach out to info@localhost to explore how your business can benefit. 

About the Author

Andrew

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Dr. Jay Yu

Dr. Jay Yu | VP of Product and Innovation

Dr. Jay Yu is the VP of Product and Innovation at TigerGraph, responsible for driving product strategy and roadmap, as well as fostering innovation in graph database engine and graph solutions. He is a proven hands-on full-stack innovator, strategic thinker, leader, and evangelist for new technology and product, with 25+ years of industry experience ranging from highly scalable distributed database engine company (Teradata), B2B e-commerce services startup, to consumer-facing financial applications company (Intuit). He received his PhD from the University of Wisconsin - Madison, where he specialized in large scale parallel database systems

Todd Blaschka | COO

Todd Blaschka is a veteran in the enterprise software industry. He is passionate about creating entirely new segments in data, analytics and AI, with the distinction of establishing graph analytics as a Gartner Top 10 Data & Analytics trend two years in a row. By fervently focusing on critical industry and customer challenges, the companies under Todd's leadership have delivered significant quantifiable results to the largest brands in the world through channel and solution sales approach. Prior to TigerGraph, Todd led go to market and customer experience functions at Clustrix (acquired by MariaDB), Dataguise and IBM.