Extending Lean Initiatives across the Organization

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Companies everywhere have realized the need for greater efficiency and improved quality within the enterprise to stay productive and competitive in today's business environment. In order to obtain these efficiencies, corporations have turned to the successful model used by manufacturers for years known as lean, just-in-time (JIT), or kaizen. The fundamental goal of lean manufacturing includes the reduction of waste increase in productivity and improved quality. Most manufacturers launch their lean initiatives in order to maximize work flow and obtain dramatic improvements in performance.

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Extending BI’s Reach: Anticipate Outcomes, Forecast Results, and Respond Proactively

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  • Published: March 4 2013
Business intelligence (BI) and predictive analytics use different means but can be applied together to improve the decision process at all levels of an organization. By increasing the ability to monitor and analyze data and generate predictions, BI and predictive analytics can help an organization gain proactive control of its business. TEC analyst JorgeGarcía explains how. Read More

5 Ways ERP Can Help You Implement Lean

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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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