Data management
Data management refers to the control of information through established practices and policies. Managing data requires creating rules for data:
- Access
- Authentication
- Creation
- Privacy
- Processing
- Security
- Storage
Data management frameworks help ensure data availability, so it can be readily available in a useable format. With the rise of big data, data management helps owners separate valuable from unnecessary information. Data management also guides what storage solutions can be used for each type of data and aims to protect data from corruption and malicious activity.
On-premises and cloud data management
Security, cost and business needs are important factors to consider when choosing on-premises or cloud data storage solutions.
Traditional, converged and hyperconverged data center solutions will ensure sensitive information adheres to compliance measures without sacrificing flexibility or agility. You’ll also have complete control over how your data is accessed and used, increasing your total cost of ownership in the process.
Cloud data management provides scale, efficiency and next-generation analytics capabilities. You can use as-a-service models — including Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) — to benefit from predictable pricing by transitioning from capital expenditures to operating expenses. Data can also be set up so it’s always available from any device on the cloud.
Using your data
Data is a critical business asset that helps inform decision-making around products, customers and performance. Many organizations are already collecting massive amounts of information through day-to-day operations, but Internet of Things (IoT) sensor adoption is creating more opportunities for organizations to collect and use data.
You can maximize data value through business and Artificial Intelligence solutions that help you understand and act upon the information you’re collecting. Modern data warehouse solutions can provide previously inaccessible insights by blending and analyzing structured and unstructured data, such as raw text and images.
Each data solution can be paired with custom dashboards and visualizations so your teams can easily identify issues, opportunities and trends. Analysis can be made available through any device too, so your teams are always equipped with the best available data.
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