Presented at INFOCUS 2023
Session ID: 102490

No matter what goals companies aim to achieve – whether it’s optimizing their supply chain, enhancing customer engagement, adapting to market changes, or reducing costs and increasing productivity – data plays a pivotal role in driving insights and actionable outcomes.

As organizations have progressed in their digital transformation journey, they now face a critical challenge: how to effectively leverage their data and transform it into actionable intelligence.

With the proliferation of data sources, it becomes increasingly vital for businesses to seamlessly integrate these sources and extract cross-departmental intelligence in near real-time. Join this session to discover the advantages of connecting and collecting data from diverse sources, whether on-premises or in the cloud. By leveraging an optimized cloud-based data management and analytics platform, organizations can aggregate data from operational and business systems across their entire enterprise. For instance, data from JD Edwards ERP system, procurement applications, and Customer Relationship Management (CRM) platforms can be securely integrated into a centralized cloud-based data lake.

Kausik “KD” Dasgupta, CTO NA at Magic Software, will explain how an actionable data layer can support various systems and data sources for different types of analysis. For instance, how to enhance your ERP system by providing contextualized data from the data lake, encompassing comprehensive store maintenance costs such as parts expenses, external service fees, internal repair technician charges, and time spent managing maintenance-related activities. The raw data can be customized to adhere to industry standards and conventions or tailored to your company’s specific requirements. This enables you to harness the full value and potential of your data in a centralized repository, enabling real-time action and driving improved business outcomes.