As engineering and contractor firms become more and more specialized on their field of expertise, they start redirecting all their focus and attention on becoming the best on what they do. This usually can come at a price as they stop recognizing the importance of data usage and all benefits that data, information and knowledge can bring about to the firm.
Let’s image an engineering company could have access to data that can let them know updated project development pipelines; what if a contractor which supply spare parts to mining trucks could know in advance how many trucks a mining company has imported for a mine operation; what if an engineering company could have data to confirm that providing detailed-engineering studies to mining projects at the south of Peru is as not profitable as providing basic-engineering studies to recently open projects in Bolivia; If the answer to all these scenarios is yes, it can be assumed therefore that for all these scenarios, engineering and contractors firms along with suppliers of services and products would be in a better position than their competitors as they can take actions based on proper data, information and Knowledge.
Now, what if the same group of firms can have at its disposal data to find and analize expertise of engineers/phds available to support a project development; what if the contractor which supply spare parts needs access to the best quality garments manufacturer to supply proper working clothes to its warehouse personal; what if an engineering company would need the best IT infrastructure with the relevant software and hardware to support their day to day research and analysis. Again, if the answers to all these questions is yes, engineering and contractors firms would be taken actions to support their procurement and human resources team by getting the best rates available to reduce operational expenses linked to a project development.
Let’s assume that a engineering/contractor/supplier firm can have data as it disposal to understand markets better and get into opportunities more efficiently, also let’s say it can have in addition tools that can let it reduce the cost of hiring/procuring products and services, the firm as a result shall be already more profitable as it is increasing revenue by being able to get into more opportunities and reducing expenses by being able to get a bigger pool of suppliers. While this scenario might be seen as an improvement already, lets imagine that on top of that such firm utilizes data to reduce the number of hours which might take putting together an engineering study, or uses data to know exactly what kind of spare parts have worked better in combination to another, or even uses data to analize how basic-engineering studies in Bolivia might be done more efficiently using the Peruvian or Chilean experience, if all this possible then the engineering/contractor/supplier is fully making its operations more efficiently.
To being able to have engineering/contractor/supplier firms operating at this level, data shall be used in order to create information and knowledge that can be out of the firms’s benefit. Digiscend is building such a platform which consists on three verticals. A client focused vertical on which tools for getting into markets and opportunities are available, a procurement focused vertical on which bigger pool of contractors/suppliers along with experts is given and an operational focused terminal which aims to generate efficiencies.
As any other platform, Digiscend is continuously evolving its respective modules based on its customers feedback following an agile methodology development.