As organizations become more data-driven, they need to manage large volumes of data in a simplified and cost-effective way in order to remain competitive and nimble. Data stored in various data repositories, whether it be generated by client-facing applications or different internal and external processes, many times,have large integration, governance and ease of use issues, resulting in large expenditures and complex processes.

To stay competitive, organizations need to keep the IT infrastructure at a low overall cost of ownership while remaining agile, improving customer service times and increasing their products/services return on investment (ROI).

IBM Cloud Pak for Data is the solution.

IBM’s integrated data and AI platform runs on Red Hat OpenShift and delivers capabilities spanning the entire analytics lifecycle as containerized microservices within an open, extensible platform, for a unified experience.

One of the key benefits of the platform is its ability to break down organizational and other operational silos to provide easy access to all enterprise data. This transparent data overview, no matter the source, is achieved through our proprietary Data Virtualization capabilities which eliminate data silos by allowing one to tap into data at the source, rather than requiring the information be moved or duplicated.

IBM Virtual Data Pipeline provides the ability to instantly provision database clones in minutes regardless of data size. The clones are application consistent and read/write enabled. The solution automates and orchestrates the creation of thin database clones and it delivers secure, virtual copies of production databases while consuming insignificant additional storage resources.

Data Virtualization Cost Saving

Data virtualization helps create an integrated and simplified view of organizational business data in as close to real time as possible. All your data is maintained at its source location and is made available as one singular view for applications, analytical, data science tools and the business users in an organization.

Data virtualization presents cost saving options by eliminating the complexities of data integration of different data types/structures, thereby automatically connecting several data sources as one singular virtual data fabric. Within Cloud Pak for Data, central data governance and security using Watson Knowledge Catalog enables easy data discovery. According to a recent Forrester Study commissioned by IBM, Cloud Pak for Data provides a 25 to 65 percent reduction in extract, transform, load (ETL) requests. Sign up for the webinar.

Cost savings not only refers to storage, but also to the ability to deliver quick analytics and easily evolve with new data source demands.

At C-Level, information agility is a key performance objective. To run a business in a data-centric environment, you must have access to exactly what you need, when you need it. When business users have responsive and proactive access to all data with governance, they make better business decisions. Finally, data virtualization leads to significantly lower costs for infrastructure and reduces time spent managing data, which has a direct effect on organizations bottom line.

IT Departments experience cost saving with resource optimizations across. With Data virtualization business users can share organizations data across all applications and data virtualization is infrastructure-agnostic. This means one can easily integrate all data with existing systems, resulting in lower operational costs.

Virtual Data Pipeline for cost optimization

Another cost savings of the platform comes in the form of the high-level compression techniques within Virtual Data Pipeline. This solution helps enterprises minimize the required storage of data copies while still maintaining continuity between the compressed and optimized versions of the source or production data. The first copy typically sees around a 50 perecent decrease in size while subsequent copies can garner upwards of 95 percent decrease from the original source data.

Virtual Data Pipeline can be used as a storage backup and recovery capability and expands to cover test data management and analytics data pipeline. Many organizations are shifting their application strategy to a continuous approach in an effort to ensure quality and support agile development and DevOps. For test data, this means drastically reducing the data provisioning time while enabling automation and self-service access to data.

In conclusion, with the minimization of both the data movement and storage required for enterprise analytics and AI, IBM Cloud Pak for Data removes complexity and helps save you money, while providing faster business insights for greater business value.

Learn more about what you can save by joining the webinar with IBM and Forrester consulting discussing how you further save with Cloud Pak for Data, and experience up to 65 to 85 percent reduced infrastructure management.

Accelerate your journey to AI.