Surpac report tonnage metric
While the abovementioned file management styles can get the job done, these could eventually reduce business efficiency and lead to reduced productivity. All these methods provide limited traceability and will compromise data security. Moreover, sharing of valuable company data is done by just using e-mails, flash drives, FTP servers or even just through social media platforms. In most instances, files are just locally stored on each of the user’s laptops or desktops with the occasional habit of backing it up via the company’s file server. What data do we have? Where are these? How do we access these? These are three of the biggest data management challenges faced by mining companies. THE BIGGEST CHALLENGES: DISCOVERY, ACCESSIBILITY, AND SHARING When effectively managed, geoscience datasets can be aggregated to generate subsurface and resource models that underpin critical financial and engineering decisions. In addition, discoveries and deeper understanding of the project are often attained by continuously reinterpreting data from the past. Older data may increase in value as the degree of confidence becomes higher proven by the new data obtained. New data brings fresh interpretations to keep mine models updated. Millions of pesos are invested in the process of obtaining new and managing old data. Gathering geoscience data is crucial for a mining project. However, with the sheer volume of data we obtain, no one would object that these are usually overwhelming to manage from the location and geochemistry of every hand sample to the structural-geochemical-geophysical information collected from the nth drill hole just to define the resource and even up to the 4D mine model showing the depth, thickness, grade. Data drives mineral exploration and mining operations. Data remains one of the most important assets of any mining company – and for these to become assets, these must be accurate and reliable.