Solutions by Business Issue

The pace at which data keeps growing impacts the performance of enterprise application systems such as ERP, SCM, and PLM that were originally installed to enhance customer relationships, streamline operations and meet compliance requirements.

Effective enterprise data management solutions enable organizations to effectively deal with data growth challenges, streamline IT processes, rationalize application portfolios, improve data, security and meet compliance objectives.

Application Performance

Enterprise applications are the back-bone of every business. These mission critical systems are responsible for processing and storing all the transactions and history of an organization. When application performance bottlenecks and availability concerns happen, the entire business is impacted.

Information Lifecycle Management

Information Lifecycle Management (ILM) is a data management practice that manages data right from inception to storage to eventual disposal for its cost, use and value to the organization. Information Lifecycle Management (ILM) uses established policies to determine how data should be managed and what data tiers and storage technologies are best suited to the data value and use.

Data Privacy

Because so many organizations use production data to populate their test environments, non-production data is a key target for attackers seeking access to sensitive information. Non-production and test data volumes may also be many times greater than production, thus enlarging the vulnerable attack surface further.
 

Test Data Management

Accurate test data improves application development quality which is why the most demanding application development teams require that their test data be populated from production databases. As a result it is not unusual for a Test Data Management (TDM) program to maintain six to eight full clones of the production database for use as test and development instances.

Application Decommissioning

Experts believe as much as 40 percent of applications in a non-optimized portfolio are eligible for retirement, rationalization or migration. These outdated applications consume computing resources, storage, and manpower, yet provide little business benefit. Solix EDMS Application Retirement decommissions legacy applications while maintaining access to critical application data.
 

Enterprise Analytics

The explosion of both structured and unstructured data is driving adoption of a new enterprise blueprint to enable growing amounts of enterprise data to be stored more reliably and at the lowest possible cost. The Hadoop Distributed File System (HDFS) has rapidly emerged as the leading nearline storage platform because it provides secure, stable storage for structured and unstructured enterprise data with enhanced access.