, that ensuring data is available in a meaningful, operationalized way is becoming more important as a core discipline. By definition, the volume, velocity and variety of big data is creating huge operational pressure — called the data-decision gap. don't trust the integrity of their data. That said, when the analytical models and technology they use to guide decision-making work with untrustworthy data, they naturally doubt its recommendations.
Entity resolution and network generation, surfaced through graph analytics, are key to understanding relationships and behaviors of customers and third parties in the supply chain, resulting in better, faster operational decisions. By integrating the right data, decision makers can become empowered as their new insights come from finding explainable links between fully understood, trusted data in a single view provided by entity resolution.