Building a Layers of Analytics Strategy for Operational Data Part 2: Decomposing the “Layers of Analytics” Maturity Levels

When transforming operational business values with an analytics strategy, global companies must use a disciplined approach to rationalize and leverage the data through a layered approach through on-premises, cloud, and hybrid environments. Bringing all the information together can look cumbersome and complex, but when you simplify the concept of each layer, this approach when done right results appropriate analytical forecasts associated with the business plan and predictive model validation.

Continuing from part 1 of our layers of analytics strategy series, please join this webinar to learn more about building the right layers of analytics strategy for industrial operations. We will break down the layers of each of the components involved and the interrelationship between the analytics and transformation initiatives such as digital twins, machine learning, and artificial intelligence.

In this webinar, you will learn:

• An in-depth view into each layer of the analytics strategy and the functionality behind each layer to develop a high-level result
• Data visualization techniques that provide from each layer descriptive and predictive information, using drag and drop capabilities and easy expressions with minimal training and governance
• How to rapidly deploy, scale, evolve, and manage a layered strategy to provide seamless access to contextualized operational data with governance