Mitigating Mystery Data: Have you ever come across a tape with very little information on what the data of the tape contained? Data Manager at Silverthorne Seismic, Julie Hagedorn, explains a couple of ways to identify the data on “mystery” tapes. First, looking at the type of tape, such as a 9 Track Tape, can …
Data management has been a critical and common practice employed across industries for many years. At its core, data management encompasses all disciplines related to managing data as a strategic and valuable resource, including collecting, processing, governing, sharing, and analyzing data — and doing it all in a cost-efficient, effective and reliable manner.
The goal of data management is to help people, organizations, and connected things optimize the use of data within the bounds of policy and regulation so that they can make decisions and take actions that maximize the benefit to the organization. A robust data management strategy is becoming more important than ever as organizations increasingly rely on intangible assets to create value.
Managing digital data in an organization involves a broad range of tasks, policies, procedures, and practices. The work of data management has a wide scope, covering factors such as how to:
- Create, access, and update data across a diverse data tier
- Store data across multiple clouds and on-premises
- Provide high availability and disaster recovery
- Use data in a growing variety of apps, analytics, and algorithms
- Ensure data privacy and security
- Archive and destroy data in accordance with retention schedules and compliance requirements
A formal data management strategy addresses the activity of users and administrators, the capabilities of data management technologies, the demands of regulatory requirements, and the needs of the organization to obtain value from its data.
Data management is a total lifecycle information system that follows data from the moment it’s created until it ceases to be useful. Data management tracks the data from place to place, monitors the transition of data from one form to another, and ensures that nothing important is left out of a business analytics model.
How to Avoid the Historical Problem of the 600ft Surface Offset Dry Hole Location: The webinar illustrates how common the simple error of mistaking WGS84 UTM with the same zone in NAD27 UTM impacts our industry. The first step of risk mitigation is understanding the coordinate reference System (CRS) that your data is in. When …
https://vimeo.com/643644263 What is a Coordinate Reference System (CRS)? Definition: A spatial reference system (SRS) or coordinate reference system (CRS) is a coordinate-based local, regional or global system used to locate geographical entities. A spatial reference system defines a specific map projection, as well as transformations between different spatial reference systems. Spatial reference systems are defined …
Exploration Archives by Talus Technologies is a database software developed for exploration and production companies. The various built-in modules and features provide exploration companies with a broad range of tools for self-managing and accessing data. Custom configurations expand the capabilities for companies to provide multi-client data services. The robust file storage options, effective metadata handling …