Methods and Tools Operationalizing Data Governance

  • Source: SAP
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Data governance is about standardizing principles and implementing best practices. This white paper looks at common challenges to effective information use, and the practical lifecycle associated with defining and then implementing observance of data policies through defined business rules, inspection, reporting, and monitoring.

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Usability as an ERP Selection Criteria

  • Source: IFS
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Enterprise resource planning (ERP) software is often criticized for being complex and difficult to use—which puts up a barrier to receiving potential benefits. Systems with integrated search functionality and Web-like interfaces can make ERP solutions easier to use. Learn how to evaluate ERP software for its usability, so you can avoid investing in platforms that aren’t evolved toward usable and efficient interfaces. Read More

A Business Risk Approach to IT Governance

  • Source: IBM
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As corporate IT infrastructure increases in size and complexity, corporations are recognizing the need for a better mechanism for assessing IT’s role and alignment to the key corporate initiatives. What began as a series of best practices has evolved into the field known as IT governance. This white paper is for business and technical people and introduces the key concepts and challenges with IT governance and the IT governance solution provided by IBM. 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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Governance from the Ground Up: Launching Your Data Governance Initiative

Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys. Read More

Lean IT Governance: The Most Realistic and Attainable Approach to IT Governance

The most realistic and attainable approach to IT governance is a "lean" approach via project portfolio management (PPM). The lean approach requires a light footprint life cycle, rapid implementation of proven practices, and centralized data. It is based on simplicity and achievability, building on what works while establishing headroom for continuous improvement. Read More

Big Data: Operationalizing the Buzz

Integrating big data initiatives into the fabric of everyday business operations is growing in importance. The types of projects being implemented overwhelmingly favor operational analytics. Operational analytics workloads are the integration of advanced analytics such as customer segmentation, predictive analytics, and graph analysis into operational workflows to provide real-time enhancements to business processes. Read this report to learn more. Read More
 
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