White Paper: 5 Questions to Ask When Selecting a Process Manufacturing Analytics Solution

Challenge: Process manufacturing organizations run on data—from a manufacturing, operations, and business perspective. The data generation and collection strategies at the center of manufacturing processes have evolved dramatically, especially in recent years. Process manufacturers now collect and store huge volumes of data throughout their operations, both on and off premise, across multiple geographic locations, in an increasing number of separate data silos. Data analytics solutions have a huge positive impact on the growing volumes of data in many sectors, from retail to finance. So why do process manufacturing organizations still feel like they have too much data and too little insight?

At Seeq, we believe this gap—between the data process manufacturing organizations have and the insights achieved— exists because some data analytics solutions fail to completely grasp the unique challenges and opportunities presented by process manufacturing. 

In this paper, we propose five questions we believe every process manufacturing buyer should ask when evaluating a data analytics solution.