News

Setting Your Data in Motion: Why Fluidity Is the Goal to Mastering MDM

Posted in: Master Data Management - Oct 13, 2016

Let Your Data Flow! Learn why fluidity is the key to mastering MDM. 5 best practices for setting your data in motion.top

Enabling Self-Service Analytics with Intelligent Data Integration

Posted in: Business Intelligence - Oct 05, 2016

One of the strongest trends in information technology (IT) today is self service, which puts the power of creating data-driven solutions in the hands of the business user. This way, IT organizations are offloaded; they needn’t create unique datasets, reports, and analyses per user, which frees up IT’s time for other tasks. Furthermore, a broad range of end-users – mostly mildly technical business people – needn’t wait for help from IT, thereby giving them greater agility and creativity, while reducing the time to value and allowing them to apply their business expertise to a well-targeted solution. Therefore, self service is a win-win situation – but only if key pieces of technology are in place.top

TDWI Checklist Report | Governing Big Data and Hadoop

Posted in: Master Data Management - Oct 01, 2016

Big data presents significant business opportunities when leveraged properly, yet it also carries significant business and technology risks when it is poorly governed or managed.top

Business, IT, and Self-Service Data Preparation: Can We Talk?

Posted in: Business Intelligence - Sep 29, 2016

One of the hottest trends today is self-service data preparation. Following the path of front-end tools for self-service business intelligence (BI) and visual analytics, self-service data preparation is aimed at providing nontechnical business users with the ability to explore data and choose data sets to fit their BI and analytics requirements. The goal is to reduce IT hand-holding—an ambitious one considering that, according to TDWI research, in most organizations IT manages nearly all data preparation steps, which can include data ingestion and collection, data transformation, data quality improvement, and data integration. Self-service data preparation thus represents a significant and potentially destabilizing change for IT and the way that IT and business work together.top

Land O’Lakes: How Free-Form Data Lakes Are Complementing Structured Data Warehouses

Posted in: Business Intelligence - Sep 28, 2016

As the data warehouse environment (DWE) continues to evolve, one of its strongest trends is the diversification of data platforms. A rigorously structured relational data warehouse is still at the heart of the DWE, but it is being joined more and more by other platform types, including data platforms based on columns, appliances, graph, streaming data, and open source.top