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Software Functionality Revealed in Detail
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 data privacy


Data Masking: Strengthening Data Privacy and Security
Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating

data privacy  Masking: Strengthening Data Privacy and Security Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you.

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

HCIMS - Laboratory Information System RFI/RFP Template

Product Functionality, System Management, Privacy and Security, and Product Technology 

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Documents related to » data privacy

Data Privacy: Protecting the Core of your Business


Many companies are struggling to comply with a patchwork of regulations related to sensitive corporate information. As a result, companies are looking for new database security and auditing solutions to help prevent unauthorized access to confidential information—and to satisfy internal and external auditors—without the performance loss and insider security risk of traditional database management system (DBMS) logging approaches.

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Protecting Customer Data: How Much is Your Customer’s Trust Worth? Part I: The Business Case for Privacy


Customers are a company’s true source of value creation, and maintaining their trust is imperative. When companies understand this, privacy protection will become an important business tool, rather than just a regulatory requirement (as many companies think of it). Obtaining, using, and especially protecting customer data has never been more important to the strength and positioning of a company’s success.

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Data Security, Governance, and Privacy


To meet regulatory requirements such as the US Sarbanes-Oxley Act (SOX), IT managers are now receiving the board-level visibility and budgets required to improve enterprise data security. For example, companies need secure and verifiable audit trails that track the activities of database administrators (DBAs) and other privileged insiders. But have you considered the seven essential elements of database security?

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Global Data Privacy Ensuring International Compliance for Your Organization


In an increasingly global and interconnected economy, many companies are moving to cloud-based, global HR solutions. But for multinational and other large organizations, this means meeting stringent region-specific rules and regulations governing data privacy. It’s important to understand not only the applicable policies for the region in which your company is headquartered, but also for each jurisdiction where your company has employees.

Each employer has the responsibility to learn and follow the relevant international regulations regarding data privacy. Learn which of these provisions applies to your organization and what you can do to ensure compliance in this white paper.

Privacy is likely to be a critical topic for multinational organizations for years to come. Therefore each multinational organization must seriously consider these data handling rules and regulations. Laws and regulations such as the EU Data Protection Directive, Safe Harbor, and PIPEDA, to name just a few, have hefty fines and potentially even criminal penalties for organizations that fail to follow these guidelines.

This white paper looks at data privacy in the European Union and elsewhere around the world, and provides a list of questions to ask about a potential solution when choosing a human capital management (HCM) solution provider, information that can help you avoid the risks surrounding data handling and ensure all of your employee and customer data remains safe, secure, and compliant into the future.

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Data Blending for Dummies


Data analysts support their organization’s decision makers by providing timely key information and answers to key business questions. Data analysts strive to use the best and most complete information possible, but as data increases over time, so does the time required to identify and combine all data sources that might be relevant.

Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data providers, department data stores, in-house databases, and more, and become faster at delivering better information and results to their organizations. In the past, the challenge for data analysts has been accessing this data and cleansing and preparing the data for analysis. The access, cleansing, and preparing data stages are complex and time intensive. These days, however, software tools can help reduce the burden of data preparation, and turn data blending into an asset.

Read this e-book to understand why data blending is important, and learn how combining data means that you can get answers to your business questions and better meet your business needs. Also learn how to identify what features to look for in data blending software solutions, and how to successfully deploy these tools within your business. Data Blending for Dummies breaks the subject down into digestible sections, from understanding data blending to using data blending in the real world. Read on to discover how data blending can help your organization use its data sources to the utmost.

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Tailoring SAP Data Management for Companies of All Sizes


The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are relying on manual operations, which are inherently error-prone, and time- and resource-intensive. Today's environment requires enterprise-class automation to overcome these challenges of data management. Learn about one solution that can help improve SAP data management.

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Four Critical Success Factors to Cleansing Data


Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

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Revamping Data Management: Big Data Proves Catalyst to Updating Data Management Strategies


Data management plays a key role in helping organizations make strategic sense of their data and how to best use it. Organizations with data management maturity have ushered in clear data goals, but many obstacles persist. This white paper reports survey results that help to establish a clear picture of how organizations are capitalizing on data management today, as well as what challenges and opportunities remain.

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Big Data Comes of Age: Shifting to a Real-time Data Platform


New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support big data and the real-time needs of innovative companies.

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Data Quality: A Survival Guide for Marketing


Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

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