Session Videos

Leveraging Analytics to Manage Risk and Obtain Competitive Advantage

 

Other videos:

Leveraging Analytics to Manage Risk and Obtain Competitive Advantage
Thought Leadership Session - High Performance Analytics
Marc Gordon Keynote Presentation
The Common Credentials Dilemma
Using Analytics to Thrive in the New Reality

 

Case Studies

Whitepapers

Resolving the Big Data Dilemma Resolving the Big Data Dilemma - Explore for Hidden Insights or Execute Based on Pre-determined ROI? This white paper talks about ways to resolve organizational tension which may exist between big data opportunity management and financial investment concerns.

Big Data for Big Industries There is a new universe of data being created by smart meters, mobile devices, social media, RFID, web logs, and other sources. Meanwhile, many industries have only begun exiting the paper-based documentation era. It’s no longer the case that all possible insights about an organization come only from a structured data warehouse full of vetted data developed inside one’s own four walls. Embracing big data means accepting that you can gain valuable insights about your organization, your customers, and the world at large from external sources, and by looking at data in a new way.

Converging business and IT to transform to the Digital Enterprise Companies today no longer have a choice in the matter—to attract and retain customers, companies must have a digital strategy. Whether it is about offering digital products and services, streamlining the underlying IT of internal processes for greater efficiency or improving customer experience, innovative use of technology is determining market share. As a consequence, business models are being radically overhauled—not in baby steps but in big, monumental shifts. The repercussions vibrate throughout the whole enterprise —changing operating models, business processes and the operating modes of IT.

Unleashing the Power of Hadoop for Big Data Analytics Unleashing the Power of Hadoop for Big Data Analytics - Data analytics, long the obscure pursuit of analysts and quants toiling in the depths of enterprises,has emerged as the must-have strategy of organizations across the globe.

Fostering Better Decisions with Big Data Visualization Fostering Better Decisions with Big Data Visualization - Compiling big data alone isn't enough - companies must be able to analyze and visualize it in real-time across a variety of sources.

Executive Content

Make Intelligent Decisions with Big Data No doubt the amount of data your company collects is growing. But what’s the point of amassing all that information if you can’t use it to drive your business forward? Smart businesses are giving people throughout their organizations access to deeper intelligence by marrying their big data and business intelligence efforts into a big data solution. The result is better decisions based on meaningful insights company wide. What’s your strategy for big data analytics?

What is Qubole? The creators of Facebook’s Big Data infrastructure and founders of Apache Hive have joined forces and leveraged their experience to deliver Qubole – a Big Data cloud service offering the same advanced capabilities used by Big Data savvy organizations for a fraction of the cost.

Getting big data right is hard. Koverse makes it easier. Getting big data right is hard. Koverse makes it easier. Koverse separates signal from noise for data-driven organizations. The Koverse platform consolidates the elements required to turn big data into actionable insight.

Inside Market Data - Analytics Special Report For a long time, it was accepted that “data is data.” But now, financial firms and investors are looking to incorporate completely new data types into pricing models, risk management and trading strategies. With this comes the need for new tools to analyze this data—both the new types available, and the sheer volume being generated—in new ways, which is generating a flurry of activity among traditional and next-generation analytics providers. The analytics of the future won’t look like the old line graphs of the past. So what will they look like, and how will their value change as a result?

Fuel Applications with MarkLogic Further, Faster with Integrated Database, Search, and Semantics

 
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