KX Insights Reviews

Epicor Kinetic boasts a legacy of over five decades in manufacturing, establishing itself as a leader in delivering customized solutions on a global scale. At the heart of the Epicor strategy lies the cultivation of authentic, enduring partnerships, which ensures that its offerings are responsive to ever-evolving business requirements. Kinetic aims not only to meet existing needs but also to guide organizations towards the principles of Industry 4.0 and smarter manufacturing practices. This proactive stance is enhanced by the Epicor dedication to pioneering cloud solutions, characterized by unparalleled security, ease of use, and robust support. With an intuitive interface, Epicor Kinetic -- the global, AI-powered cloud ERP designed specifically for discrete, mixed-mode, and make-to-order manufacturers in the small and mid-market spaces -- empowers everyday users to transform business data into actionable insights and impactful reports that enhance productivity. By incorporating cutting-edge AI, machine learning, and Internet of Things technologies, the user experience provided by Kinetic enables a seamless transition to modern manufacturing methodologies. While primarily focused on cloud-based solutions, Epicor Kinetic also accommodates on-premises and hybrid deployment options, ensuring flexibility for various operational needs. Kinetic not only propels customer ambitions forward by offering tools to enhance productivity, growth, and operational efficiency but also solidifies Epicor's role as an indispensable ally for the most vital enterprises worldwide. Consequently, partnering with Epicor translates into a strategic advantage in navigating the complexities of today's manufacturing landscape.

Ensuring the integrity of Big Data Quality is crucial for maintaining data that is secure, precise, and comprehensive. As data transitions across various IT infrastructures or is housed within Data Lakes, it faces significant challenges in reliability. The primary Big Data issues include: (i) Unidentified inaccuracies in the incoming data, (ii) the desynchronization of multiple data sources over time, (iii) unanticipated structural changes to data in downstream operations, and (iv) the complications arising from diverse IT platforms like Hadoop, Data Warehouses, and Cloud systems. When data shifts between these systems, such as moving from a Data Warehouse to a Hadoop ecosystem, NoSQL database, or Cloud services, it can encounter unforeseen problems. Additionally, data may fluctuate unexpectedly due to ineffective processes, haphazard data governance, poor storage solutions, and a lack of oversight regarding certain data sources, particularly those from external vendors. To address these challenges, DataBuck serves as an autonomous, self-learning validation and data matching tool specifically designed for Big Data Quality. By utilizing advanced algorithms, DataBuck enhances the verification process, ensuring a higher level of data trustworthiness and reliability throughout its lifecycle.

StarTree Cloud functions as a fully-managed platform for real-time analytics, optimized for online analytical processing (OLAP) with exceptional speed and scalability tailored for user-facing applications. Leveraging the capabilities of Apache Pinot, it offers enterprise-level reliability along with advanced features such as tiered storage, scalable upserts, and a variety of additional indexes and connectors. The platform seamlessly integrates with transactional databases and event streaming technologies, enabling the ingestion of millions of events per second while indexing them for rapid query performance. Available on popular public clouds or for private SaaS deployment, StarTree Cloud caters to diverse organizational needs. Included within StarTree Cloud is the StarTree Data Manager, which facilitates the ingestion of data from both real-time sources—such as Amazon Kinesis, Apache Kafka, Apache Pulsar, or Redpanda—and batch data sources like Snowflake, Delta Lake, Google BigQuery, or object storage solutions like Amazon S3, Apache Flink, Apache Hadoop, and Apache Spark. Moreover, the system is enhanced by StarTree ThirdEye, an anomaly detection feature that monitors vital business metrics, sends alerts, and supports real-time root-cause analysis, ensuring that organizations can respond swiftly to any emerging issues. This comprehensive suite of tools not only streamlines data management but also empowers organizations to maintain optimal performance and make informed decisions based on their analytics.