Distributed Virtual Data Center Dynamic Resource Allocation and 24-7 Application Uptime

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Today’s business processes place high demands on IT infrastructure, and the answer often is integration of software and hardware resources. Now you can integrate by separating: divide logical processing and storage resources from the physical hardware on which they run, and help make virtualization a powerful tool for improving your data center’s flexibility, reliability, and use—while reducing cost of management.

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Differentiate and Grow with Profitability Insights

While digital data can provide information that can be important to profitability margins, it can also easily surpass the capacity of your current analytic tools due to the sheer volume now available to businesses. Current analytical systems may not be able to deal with the vast amounts of data now available, compromising resource allocation. New cloud-based enterprise resource planning (ERP) tools are easy to upgrade and deal with large volumes of data effectively, allowing analytical tools to process large amounts of digital data, which can provide a clearer picture on where to best invest time and energy into your company for optimal growth. But best practices also have to be implemented in order to make this data work for you.

Access in real-time to information about trend changes and global markets is vital for businesses that deal with international markets and a variety of currencies when fact-based decision making needs to occur in real-time, and also allows for the establishment of best practice measures in order to maximize profitability.

In this white paper, learn how to become data-driven to your best advantage and establish best practices for measuring profitability, synchronizing access to financial information across a variety of departments, as well as how to develop a stronger partnership between financial and business leaders while creating A Center of Excellence (CoE) to centralize the business lexicon and homogenize business procedures.  Read More

Differentiate and Grow with Profitability Insights

While digital data can provide information that can be important to profitability margins, it can also easily surpass the capacity of your current analytic tools due to the sheer volume now available to businesses. Current analytical systems may not be able to deal with the vast amounts of data now available, compromising resource allocation. New cloud-based enterprise resource planning (ERP) tools are easy to upgrade and deal with large volumes of data effectively, allowing analytical tools to process large amounts of digital data, which can provide a clearer picture on where to best invest time and energy into your company for optimal growth. But best practices also have to be implemented in order to make this data work for you.

Access in real-time to information about trend changes and global markets is vital for businesses that deal with international markets and a variety of currencies when fact-based decision making needs to occur in real-time, and also allows for the establishment of best practice measures in order to maximize profitability.

In this white paper, learn how to become data-driven to your best advantage and establish best practices for measuring profitability, synchronizing access to financial information across a variety of departments, as well as how to develop a stronger partnership between financial and business leaders while creating A Center of Excellence (CoE) to centralize the business lexicon and homogenize business procedures.  Read More

Reinventing Data Masking: Secure Data Across Application Landscapes: On Premise, Offsite and in the Cloud

Be it personal customer details or confidential internal analytic information, ensuring the protection of your organization’s sensitive data inside and outside of production environments is crucial. Multiple copies of data and constant transmission of sensitive information stream back and forth across your organization. As information shifts between software development, testing, analysis, and reporting departments, a large "surface area of risk" is created. This area of risk increases even more when sensitive information is sent into public or hybrid clouds. Traditional data masking methods protect information, but don’t have the capability to respond to different application updates. Traditional masking also affects analysis as sensitive data isn’t usually used in these processes. This means that analytics are often performed with artificially generated data, which can yield inaccurate results.

In this white paper, read a comprehensive overview of Delphix Agile Masking, a new security solution that goes far beyond the limitations of traditional masking solutions. Learn how Delphix Agile Masking can reduce your organization’s surface area risk by 90%. By using patented data masking methods, Delphix Agile Masking secures data across all application lifecycle environments, providing a dynamic masking solution for production systems and persistent masking in non-production environments. Delphix’s Virtual Data Platform eliminates distribution challenges through their virtual data delivery system, meaning your data can be remotely synchronized, consolidated, and takes up less space overall. Read detailed scenarios on how Delphix Agile Data Masking can benefit your data security with end-to-end masking, selective masking, and dynamic masking.  Read More

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