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Analytics for Everyone: The Rise of Business-Friendly Solutions

Tuesday, Aug. 2 @ 4 ET

The value of analytics only emerges when the business benefits. Achieving quality analysis is hard enough, but translating those insights into tangible process change? That requires integration with operational systems. Many of today’s solutions achieve that connection by embedding algorithms within existing enterprise applications. This enables non-technical business professionals to leverage analytics in their day-to-day operations.

Register for this episode of The Briefing Room to hear Mark Madsen explain many of the ways that analytics can benefit business processes. He’ll be briefed by Sri Raghavan of Teradata who will showcase his company’s advanced analytics solution, Aster Analytics. He’ll discuss app-driven interfaces that allow users to address very specific use cases. He’ll also explain how Aster can now be deployed directly on top of Hadoop, thus simplifying the analytic architecture.

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Standing at the Edge: Streaming Analytics in Action

Tuesday, Jul. 26 @ 4 ET

The disruptive force of the Internet of Things presents a new breed of opportunity. Tracking sensor and machine data can deliver considerable insight, but it can also generate the type of intelligence that will transform decision making and business operations. To achieve this, organizations must create an architecture that collects, analyzes and responds to events as they happen.

Register for this episode of The Briefing Room to learn from veteran Analyst Mark Madsen as he extols the virtues and challenges of analytics at the edge. He’ll be briefed by Neil McGovern, Senior Director of Marketing of SAP, who will showcase his company’s HANA Smart Data Streaming, a solution designed for reliable streaming data capture and real-time analytics. He’ll be joined by Tim McConnell, Developer Architect of SAP who will provide a demo showing how the platform can perform complex event processing and monitoring over the Internet of Things.

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Hadoop in Transition: From Proof-of-Concept to Production

Wednesday, Jul. 20 @ 4 ET

Our recent primary research project solicited feedback from users of the Hadoop ecosystem about their experiences in transitioning their use of the various big data management and analytics components from proof of concepts and experiments into production within the enterprise environment. We reached out to data management and application development professionals and asked them a broad variety of questions about their corporate experience in evaluating, testing, and adopting Hadoop-based technologies. 

In this webinar we will summarize what was learned, as well as provide insights about skills development, open source vs. commercially-provided distributions, ease of use, integration, application development, and testing, challenges in implementation, and the perception of value of embracing the Hadoop paradigm.

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By Definition: A Model-Driven Approach for Data Governance

Tuesday, Jul. 12 @ 4 ET

The heart and soul of governance boils down to a desire for clarity and certainty. When information processes are clearly defined, and data elements understood, the business can see what’s happening. That enables educated guesses for what to do next. But as every organization discovers sooner or later, effective data governance is a tough nut to crack, and for many reasons: diversity of systems, poor documentation, semantic variety, just to name a few.

Register for this episode of The Briefing Room to hear veteran Analyst Rick Sherman explain his vision of a solid model-driven approach to data governance. He’ll be briefed by Danny Sandwell, Director of Product Marketing at ERwin, who will demonstrate how ERwin Modeling provides an effective strategy for achieving quality data governance. He’ll also explain how his company’s platform accelerates the adoption of new models by using derived corporate standards and provides guardrails for new models by ensuring alignment with standards. In addition, he will discuss the value of using an ontology, and storing models in a central repository.

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