TDWI Business Intelligence Principles and Practices: Charting the Course to BI Success

TDWI

The BI life cycle spans a continuum that begins with large amounts of disparate data and stretches to encompass people, technology, information, analysis, and decision making. The benefits of BI are substantial: new business capabilities for insight, forecasting, planning, agility, and strategy execution.
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Spotlight

Apama Streaming Analytics is the market-leading platform for streaming analytics and automated action on fast-moving big data. Apama enables the design, development and deployment of sophisticated applications that can monitor event streams, detect and analyze event patterns from multiple sources simultaneously, and take intelligent actions based on those patterns.


OTHER ON-DEMAND WEBINARS

Databases vs Hadoop vs Cloud Storage

mcknightcg

Relational databases are old technology, right? Thirty years is a long time for a technology foundation to be as active as relational databases, but, like NFL coaches, we must “tolerate them until we can replace them.” Are their replacements here? In this webinar, we say no. Databases have not sat around while Hadoop emerged. The Hadoop era generated a ton of interest and confusion, but is it still relevant as organizations are deploying cloud storage options like a kid in a candy store? We’ll discuss Hadoop’s continued potential relevance and the cloud storage option that seems vital. Use what when? This is a critical decision that can dictate two to five times additional work effort if it’s a bad fit.

5 Hot Trends for Data and Analytics in 2017

Information Builders

Join industry expert and speaker Dr. Rado Kotorov to gain insight into upcoming trends in analytics, including:Industry 4.0: building the new digital enterprise using automation.Analytics in the digital culture revolution: democratizing BI for fact-based decision-making. Report consolidation: saving costs, improving BI adoption, and moving from reports to InfoApps. The rise of customer-facing analytics: monetizing data and consumerizing analytics.

Advanced Analytics of Sales Data

Looker

If your company is like many others, you have embraced Salesforce.com (SFDC) as your CRM tool. You can’t live without it. All your lead and customer information, in one handy place. But...How does your current pipeline compare to this time last year? Last qtr? Which of your field reps are demonstrating the greatest success, and in what areas? You have become painfully aware of the limitations of one of your most important data sources.

Webinar: Predictive Analytics Deployment to Mainframe or Hadoop

Zementis, Inc.

The big challenge for analytics-driven organizations today is closing the gap between deriving an analytic result and getting the ROI. Organizations need a consistent and efficient way to deploy analytic results into everything from systems of record like mainframes to modern big data infrastructure.James Taylor, CEO of Decision Management Solutions and Michael Zeller, CEO of Zementis, explain how the Predictive Model Markup Language (PMML) provides an XML standard that streamlines the deployment of predictive analytic models. With PMML a model can be developed in one tool or language, whether open source like R or commercial predictive analytics products, and easily migrated to a wide range of operational systems including mainframes like IBM zSystems and new data infrastructure like Hadoop with Spark / Storm / Hive.

Spotlight

Apama Streaming Analytics is the market-leading platform for streaming analytics and automated action on fast-moving big data. Apama enables the design, development and deployment of sophisticated applications that can monitor event streams, detect and analyze event patterns from multiple sources simultaneously, and take intelligent actions based on those patterns.

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