Data masking everywhere – Design standard and repeatable data privacy policies across the enterprise | SlashdotMedia AdOps Asset Management

Data masking everywhere – Design standard and repeatable data privacy policies across the enterprise

The new era of computing has arrived: organizations are now able to process, analyze and derive maximum value from structured, unstructured and streaming data in real time. However, in the rush to achieve new insights, are privacy concerns being neglected? With the average cost of security-related incidents in the era of big data estimated to be over USD40 million, you can’t afford to ignore data privacy as a top requirement.

Preserving quality: Fundamentals of reference data management

Most enterprise applications contain reference data, built into code tables, to classify and categorize product information, customer information or even internal transaction codes. This data changes relatively infrequently—but it does change over time, and given its ubiquity, synchronizing reference data values and managing changes across the enterprise is a major challenge. This e-book introduces five tenets of a solid reference data management strategy and how you can use them to build a consistent foundation for your business’s information management needs.

Magic Quadrant for Master Data Management of Customer Data Solutions

This Gartner's Magic Quadrant offer insight into the part of the packaged MDM solution market that focuses on how organizations master and share a "single version" of customer data with multiple views of it across their organizations - achieving a single version of master data is a key initiative for many organizations. Learn about IBM's leadership position with regard to both its Master Data Management vision and its ability to execute on that vision.

Data virtualization: Delivering on-demand access to information throughout the enterprise

In order to get a deeper understanding of what is happening and how to influence it, access to all data, big or small, is becoming increasingly important. Data virtualization is an integration approach to provide easy access to these sources of information, including big data, on demand.

Making the case for data lifecycle management – A must-have element for business transformation in a data-driven world

The ability to turn large volumes of data into insights is a competitive advantage in today's economy. To manage the data, the best CIOs are applying data lifecycle management strategies so they can:

-Fully understand what data they have, where it resides and what policies and standards exist for managing it
-Create efficient test and development environments to support application delivery schedules
-Take advantage of peak application performance
-Effectively manage data retention and access according to business compliance requirements
- Protect sensitive data

Read the whitepaper to find out how one client improved business value of their data by implementing InfoSphere Optim processes and technologies.

Business Driven Governance: Managing Policies for Data Retention

Different types of data have different data retention requirements. In establishing information governance and database archiving policies, take a holistic approach by understanding where the data exists, classifying the data, and archiving the data. IBM InfoSphere Optim™ Archive solution can help enterprises manage and support data retention policies by archiving historical data and storing that data in its original business context, all while controlling growing data volumes and improving application performance. This approach helps support long-term data retention by archiving data in a way that allows it to be accessed independently of the original application.

Must-have capabilities for today’s warehouse environment

Speed, simplicity and affordability: 3 capabilities businesses need from their warehousing environment. IBM DB2 with BLU Acceleration gives organizations a complete, multipurpose environment to rapidly distill insight from their data, make timely decisions and capitalize on opportunities.

Running at the speed of business

IBM DB2 offers multi-platform flexibility and optimized capabilities for a variety of workloads. This e-book highlights some common scenarios where DB2 helps businesses derive unprecedented value from expanding data stores—affordably and reliably.

Cost/Benefit Case for IBM PureData System for Analytics

In a world of big data and real-time information, organizations must deal with fast growing data volumes, demands for more sophisticated interpretations of data, and more rapid delivery of results. Check out the new ITG TCO comparison and see how IBM and Oracle stack up.

Customer Analytics: The Role of Integrated Systems

This white paper outlines the latest customer analytics opportunities and challenges facing sales, marketing, and customer service decision makers. It draws on IDC's research into big data and analytics (BDA) business and technology trends and provides recommendations for organizations looking to improve their customer analytics initiatives. The paper also considers the role of workload optimized systems as a technology platform to enable customer analytics and describes the IBM PureData System for Analytics as one of the leading workload-optimized systems in the market today.

Don’t Let Your Shoppers Drop: 5 Rules for Today’s Ecommerce

The definition of ecommerce has dramatically expanded to include non-retail environments, with all smart businesses tailoring and marketing their products and services at the individual customer level. Meeting the increasing demands of customer-facing line-of-business applications greatly depends on the databases supporting them. This paper, written with a blend of information for the line-of-business manager and the IT professional, discusses the five key rules of great ecommerce and the changes they require in your database infrastructure.

DataStax Enterprise Reference Architecture

This white paper outlines reference architectures for deploying Apache Cassandra™ and DataStax Enterprise (DSE) within an organization and establishes a starting point for users contemplating hardware choices to host DataStax solutions. This paper also provides guidance for system architects and system administrators during the planning stages of development, test and production environments, whether in-house or at a private or public data center. It explores common scenarios and configuration options for various deployments.

Modernizing Data Protection With Backup Appliances

This IDC executive brief will discuss the evolution and challenges of data protection and how backup appliances can form part of a modern data protection architecture. Benefits and challenges of an appliance-based data protection approach will be discussed, as well as emerging best practices for modern data protection.

The Evolution and Value of Purpose-Built Backup Appliances

This IDC White Paper explores the increased use and adoption patterns of PBBAs, both integrated and targeted, and the utility these appliances provide to customers in their data protection processes. In addition, this White Paper illuminates the customer value that Symantec's Backup Exec and NetBackup appliances bring to the data protection and recovery process.

The Business Value of Managed Services

Businesses around the world are looking for ways to innovate, improve customer relationships and drive down costs. But it can be challenging to find the right people and resources to support those corporate initiatives. Managed services from IBM can help.