Exploration Information Management
Time wasted searching for data is one of the biggest barriers to efficient advancement of exploration projects. Geosoft information management solutions improve access to information and insight for global teams to effectively develop exploration programs and increase discovery success.
Last year, the Digital Universe grew by 62% to nearly 800,000 petabytes, according to a study released by IDC and EMC Corp. By 2020, we’ll have created 35 trillion gigabytes of data — much of that in the “cloud.”
As data volumes continue to grow, exploration organisations need new ways to deal with data and information – ensuring data is easily found when needed, and where needed, to inform decision-making on global project portfolios. This includes having solutions for:
- Cleaning and cataloguing data: The quality of source data, including metadata, is the foundation for all the analysis and interpretation that follows and forms the basis for exploration decisions.
- Efficient search and retrieval: Timely access to data is consistently cited as one of the biggest data management challenges. Time spent sourcing data takes away from more valuable exploration work.
- Sharing data and knowledge: Automation of how data, maps and interpretations generated from data, are stored and shared eliminates the risk of losing historical information and ensures project knowledge is transferable across global team members.
According to Geosoft’s 2013 Exploration Information Management Survey report, managing data is a rising priority in the exploration community. [Report]
How can you unlock big data value in your organization? Understanding the key drivers for improving information management can be your first step. [Article]
By validating and organizing its geophysical data within a central repository, Barrick gained an enriched dataset, better data integrity and a system for providing efficient, global access to the database. Read how they did it. [Success story]
Data services and methodology that can help your organization establish a process and workflow to capture, catalog, publish and share all of your historical, current and future data. [Info Sheet]
Five best practices to help you clear the clutter, and make exploration data management more efficient in your organization. [Article]
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