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  • Informatica 10 Focuses on Managing Data as a Moving Target

    The underlying assumption of Informatica 10 is that data sources, targets, and analytic requirements are moving targets. For the database administrator, Informatica automates the nuisance of having to constantly update data mappings. For the business user, the data management platform adds rules-based classification and semantic discovery; tweaks existing capabilities, such as data profiling, with new visualizations; and adds a collaboration layer that taps the wisdom of "crowds" within the enterprise and harvests expertise from subject-matter experts dispersed across the enterprise, who have unique knowledge of different pieces or sets of data.

  • Informatica v10.0 Opens Up Big Data and the Cloud to the Masses

    This release provides Informatica with an important set of capabilities across IT management, metadata management, cloud connectivity, Big Data, data quality, and workflow governance. This announcement carries weight as the increasingly complicated world of enterprise data has forced companies to devote more time to the challenges of cloud connectivity, data mapping, data management, and business contextualization.

  • The Forrester Wave™: Data Governance Tools, Q2 2014

    As the importance of data governance — and the need for tooling to facilitate data governance —is rising, Forrester evaluates data governance tooling vendors, and identified and evaluated the 10 most significant software providers in the category.

  • Bloor Market Update Data Masking

    Data masking originally emerged as a complement to test data management, to protect sensitive data from unauthorised eyes (assuming that you were not using synthetic test data generation). However, it has always been, in essence, a security technology.

  • Quantifying the Case for Enhanced Data Preparation

    To provide guidance to data analysts and technology decision makers on investing in data preparation solutions, Blue Hill Research conducted a survey of 186 data analysts. The survey results quantify how data analysts are spending their time, and identify the extent to which data analysts are required to spend time preparing data as opposed to conducting value added analysis.

  • Data-Driven Retail: The Path to Maximize the Shopper Experience

    This report explores the challenges retailers face in harnessing data and analytics to better meet customer expectations across all interaction channels. It also provides an overview of the three core building blocks retailers must establish and nurture in order to maximize their performance through the effective use of data.