Impact of Data Management on your Enterprise Bottomline
The core of any enterprise rests on two pillars, namely data and process. They are universal in nature regardless of the type of industry, manufacturing or services. Data and process both supplement and complement each other, in the sense, that process generates data and data control process. Together they impact the bottom-line of an enterprise, even though their prime focus may be different. For example, process ensure safety, operability, conformance with regulations whereas data focuses on management, collection, control, optimization, reconciliation and predictability. One cannot do without the other.
This paper will present how data management can impact the enterprise bottom line by discussing different life cycle of data management. For illustration purpose we will discuss the data management in representative business sector and enumerate all data islands at all levels of the business, with respect to their definition, collection, data quality assurance, historical preservation, discovery, integration, analysis and last but not the least, predictability of process parameters and monitoring key parameter indices (KPI) to assess the impact of data management on the bottom line.
This paper will discuss a case study to make a business case for Sigmafine as to how Sigmafine can assist in data management with special focus on its collection mythologies for digitization, quality checks and ultimately data reconciliation to create a value for the enterprise. It will present specific examples of the significance of Sigmafine with respect to process industry, be it oil and gas, metal, water or any thing else of the kind or even distribution network.
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May 7, 2025 
