Page 19 - GCN, Oct/Nov 2016

With advanced analytics, open source continues to prove its value as a platform for innovation, providing organizations with a cost-effective means of leveraging new and emerging capabilities.
DATA BLENDING
ig data across the enterprise requires a centralized approach.
NTERPRISE-SCALE data analytics requires drawing upon vast and
varied data sources. However, most organizations have their data sitting
strategic asset that supports the mission.
To maximize the ROI on their investments, data professionals
need to consider how each phase of the analytics pipeline adds value and supports the overall business goals, from raw data to end user analytics. The plan should be based on an open source framework such as Hadoop that can support big data processing and keep pace with data demands. The framework must also incorporate strong data governance practices tailored to how the data is used.
Agencies should empower employees to integrate and process Hadoop data, have an onboarding process that can support many different data sources, and be able to turn data into analytic data sets for users on demand. They should also create a single “data refinery” to automate delivery of information to large number of users.
Advanced analytics has the power to transform government, giving agencies insight that will help them be smarter, more capable and better able to provide transparency and services to the public.
Read more from Quentin Gallivan at carahsoft.com/innovation/Gallivan.
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QUENTIN GALLIVAN CEO, PENTAHO & SENIOR VP, HITACHI DATA SYSTEMS
in silos, in multiple locations and on different platforms. This makes it hard for organizations to integrate, prep, and govern their data, especially as they undertake modernization efforts, such as data center consolidation, and grapple with trends, such as the Internet of Things and cloud computing.
Government agencies have the added challenge of demonstrating compliance with government regulations
and ensuring their data management practices meet specific standards. What they need is a centralized approach. They must develop a clear plan for their big data and data integration projects to address end-to-end delivery of integrated and governed data. The plan should also include business analytics, so data becomes a
The Power of Big Data at Work
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carahsoft.com/innovation/pentaho-analytics