ERP Challenges in Manufacturing and Supply Chain
Enterprise Resource Planning (ERP) systems play a critical role in manufacturing and supply chain operations, acting as the backbone for planning, execution, and control. However, despite significant investments, many organizations continue to face persistent challenges in realizing the full value of their ERP platforms.
As manufacturing environments become more complex—driven by global supply chains, fluctuating demand, and increasing cost pressures—ERP challenges are no longer purely technical.
Digital Adoption Trends in Mid-Sized Enterprises
Mid-sized enterprises are at a pivotal stage in their digital journey. Positioned between startups and large enterprises, they face unique challenges—limited resources, growing operational complexity, and increasing competitive pressure—while still being expected to operate with the agility and efficiency of much larger organizations.
Digital adoption in this segment is no longer driven by experimentation. It is increasingly shaped by practical outcomes, scalability, and measurable business value.
Understanding Cloud Readiness Beyond Infrastructure
Cloud readiness is often misunderstood as a purely technical assessment focused on servers, applications, and networks. In reality, true readiness extends far beyond infrastructure and includes business alignment, governance, security, and organizational change.
Organizations that treat cloud migration as a lift-and-shift exercise frequently struggle to achieve expected outcomes. Successful migration requires a holistic view of enterprise readiness
The Growing Complexity of Data Landscapes
Retail and BFSI enterprises generate vast amounts of data from multiple sources, including core transaction systems, digital channels, customer interactions, third-party platforms, and external market data. While data availability has increased significantly, extracting value from this data remains a challenge.,Disparate data sources across legacy and modern systems,High data volumes requiring scalable processing,Varying data quality and governance standards Without a cohesive data strategy, organizations struggle to convert data into actionable insights.
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