To succeed in today’s hypercompetitive global economy, organizations must embrace insight driven decision-making. This enables them to quickly anticipate and enforce business change with constant and effective innovation that swiftly incorporates technological advances where appropriate. The pivot to digital, consumer-minded new regulations around data privacy and the compelling need for greater levels of data quality together are forcing organizations to enact better controls over how data is created, transformed, stored and consumed across the extended enterprise.
Chief data/analytics officers who are directly responsible for the sanctity and security of enterprise data are struggling to bridge the gap between their data strategies, day-to-day operations and core processes. This is where an operating model can help. It provides a common view/definition of how an organization should operate to convert its business strategy to operational design. While some mature organizations in heavily regulated sectors (e.g., financial services), and fast-paced sectors (e.g., retail) are tweaking their existing operating models, younger organizations are creating operating models with data and analytics as the backbone to meet their business objectives.
This white paper provides a framework along with a set of must-have components for building a data and analytics operating model (or customizing an existing model). Please fill in the form below to download it.
You might also find it useful to read about how another technology, blockchain, can be used in manufacturing. Check out the blog posts Unfurling the Blockchain Blueprint, Blockchain In Manufacturing: 4 Questions to Evaluate Readiness, and How Blockchain can Revitalize Man.ufacturing Value Chains.