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Manufacturing is an especially complicated process, with a multitude of data streams flowing out of nearly every step in the workflow. From designing new products and refining old ones to the supply chain information that comes along with distribution, manufacturers are frequently data rich. However, an abundance of information doesn't mean a company can automatically act on it or benefit from it – data can easily be generated and then remain invisible or hard to access.

This lack of visibility into operational information is a major argument for the need to put a data warehouse solution in place. With the right platform implemented, manufacturers don't just generate data, they can analyze it and receive the many associated benefits.

"Companies need to look beyond capturing data and pay more attention to utilization."

Getting the most out of big data
Broadly speaking, companies with greater insight into operations have the power to develop more effective processes and streamline workflows. The issues addressed by increasing access to internally generated information can span from specific concerns with minute but important differences, like manufacturing tolerances, to systemic change that alters the way an entire department or a majority of employees carry out their duties. 

An article from The IBM Big Data & Analytics Hub discussed the vital importance of using data, not just collecting it. A business that has the mechanisms in place to compile operational information but doesn't or can't analyze and act on it has only wasted time and resources developing the network.

Companies need to look beyond capturing operational data and pay more attention to utilization. That means selecting the best data warehousing services for an organization's needs, placing an emphasis on analysis and the improved decision-making capabilities of a company that is more fully informed about its short- and long-term operations. Everything from data management and governance needs to integration and self-service use have to be addressed. Manufacturers that can understand this requirement and work toward developing such a data ecosystem put themselves in a much better position than those that don't.

Aviana has the expertise to guide manufacturers through the process of implementing big data and predictive analytics solutions, ensuring they not only collect information but use it with purpose. Businesses that consistently have chances to change, grow and improve operations are ready for whatever comes their way. To learn more about our work with manufacturers, visit our dedicated industry page.