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Future Cities

Future Cities

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Future Cities

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Enterprise analytics initiatives are advancing along a natural progression, starting with descriptive analytics that tell us what our organizations and our customers have done in the past. Then, predictive analytics help to show us what the organization or customers are likely to do in the future. However, the greatest value lies in prescriptive analytics, where data shows us likely options for how we can respond to the upcoming changes and trends highlighted at the predictive stage. Afterall, knowing something is happening doesn't help if we don't know what to do about it. Prescriptive analytics can guide us to suitable solutions. Hyoun Park, Chief Research Officer of Blue Hill Research, joins All Analytics Radio to discuss how enterprises can move from the predictive analytics stage to prescriptive analytics where they can put data into action. Blue Hill has developed a framework for that thought process and the steps to get to prescriptive analytics and meaningful insights. In this show you will learn: About some of the best practices in developing predictive analytics, setting the stage for an eventual move to prescriptive analytics What types of applications lend themselves to use of prescriptive analytics How to blend the suggestions for action raised by prescriptive analytics apps with a decision maker's experience and "gut" feelings How prescriptive analytics are being used in the real world today
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Consider the ways you can support the new customer experience, such as the ability to relate a consumer's activity on your website with their later appearance on in-store proximity beacons. How can you enhance that... more

Your data analytics project isn't complete until you package the results in a way that truly helps your client in the business unit make decisions and take action based on your work. That means that analysts not only need to know what the... more

The value in the Internet of Things will be reflected in business applications that drive new revenue or bring operational efficiencies. It will be up to the analytics team, working closely with business unit leaders and application developers, to... more

Don't wait until the data starts to flow before you figure out how you are going to store, organize, analyze, and find value in data. We will discuss how your planning for an IoT initiative can help you identify what data you need -- and... more

Flexibility, scalability, efficiency, and speed to market are some of the reasons enterprises are turning to cloud-based applications in their efforts to enable data-driven decision making. Organizations of all sizes are discovering that... more

The Internet of Things is more than a host of devices pinging a network. The device is just the entry point. We will walk you through some IoT architectures to show how your organization can collect, manage, and integrate device data into... more

Let's start with the basics: Learn more about the IoT's adoption cycle, what sets it apart from Machine-to-Machine (M2M) networking, and why the IoT matters to your organization. We will discuss how to identify opportunities for... more

Cyberthreats from around the world won't go away. In fact, they only will continue to become more complex and more persistent, and traditional IT security tools won't give you the protection your organization needs. However, you can get... more

Long before the tech sector christened almost every type of analytics as big data, the pharmaceutical and biotech industries were heavily reliant on analytics to develop new, safer drugs, and to produce those drugs more efficiently. Big data... more

All Analytics Radio will be on the air from the SAS Global Forum and Executive Conference in Dallas, featuring a private interview with SGF keynote speaker Jake Porway, founder of Datakind. Porway's organization uses big data to tackle big... more

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