EBOOK: Embedded Analytics Empower the Citizen Data Scientist via Statistica

With the advent of technologies that connect more people, machines and processes to one another, the importance of extending advanced analytics and machine learning to your users is growing fast. But the effort to derive maximum benefit from those advanced analytics is still limited in most organisations by the human element. Data scientists, seen as the only people sufficiently trained to navigate big data successfully, become the bottleneck.


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WEBINAR: What does IoT Edge Analytics look like? - 27 September 2016

Overview

Title: What does IoT Edge Analytics look like?

Date: Tuesday, September 27, 2016

Time: 09:00 AM Pacific Daylight Time

Duration: 1 hour

Summary

What does IoT Edge Analytics look like?

This webinar will showcase the new Statistica features around Edge Scoring for IoT analytics and Native Distributed Analytics Architecture (NDAA). In this webinar a demonstration of deploying advanced analytics onto any edge device or IoT gateway and running analytic workflows at the edge of the network to transport predictive results. Discover NDAA that will enable you to build workflows and train and run models completely within your database engines without transporting data out of your Big Data systems.

You will learn how to:

• Deploy analytics onto the network edge.
• Reduce the need to transfer large data-streams over the network.
• Build and execute advanced analytics on Big Data systems.
• Carry out intensive computations with all data in every source system, including Hadoop clusters, database appliances and other high-performance platforms.

Speakers:
Jeremy Melville -- Senior Data Scientist -- Dell Statistica  
David Sweenor, Global Analytics Product Manager -- Dell Statistica 

Hosted by: 

Bill Vorhies, Editorial Director -- Data Science Central

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WEBCAST: Six (Million) Degrees of Separation: The Practical Power of Network Analytics - 22 September 2016

The concept of “six degrees of separation” says that any person in the world is only six introductions away from every other person through their network of friends, family and acquaintances. Whether you believe this is true or not, the impact of studying and analyzing networks can be a powerful tool for solving many business challenges. Networks are everywhere. Simple or complex, they can consist of people, institutions, processes, equipment and more.

Network analytics examines the relationships between the objects in a network. This webcast will cover how the new network analytics functionality in Statistica 13.1 can be applied for fraud detection, supply chain optimization, recommendation engines, and identifying influencers and affinities.

What you will learn

Attendees will learn:

• Business use cases where network analytics can be applied
• The role of the graph database and how to structure and load data
• Visual exploration of relationships
• Clustering, scoring and anomaly detection

Speakers

Caroline Junkin is a data scientist for Statistica. She has a master's degree in information management and has been working in the field of business intelligence and advanced analytics for over 17 years. Her experience in data engineering, predictive analytics and application integration spans many industries, including healthcare, marketing and customer relationship management, finance, hospitality, and gaming.

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WEBINAR: What’s New in Statistica 13 - 29 October 2015

Tech webcast: What’s New in Statistica 13

Check out the first major update of our predictive analytics platform since we added Statistica to our software portfolio in March 2014. You’ll see how new software integrations and customer-driven enhancements combine to make Statistica 13 an analytics powerhouse that addresses your practical, all-data analysis and data management needs.

Our analytics expert will show you how to take full advantage of:

• A completely modernized user interface with a visual analytic workflow
• In-Database Analytics that push analytics to where your data lives
• Powerful text analytics capabilities
• Statistica Interactive Visualization and Dashboards
• Enhanced Hadoop integration/HDFS

 

What you will learn

By the end of this session, you’ll understand how Statistica 13 lets you embed analytics everywhere, so you can analyze any data, anywhere. You’ll also discover how it empowers everyone, from data scientists to business users. With our expert’s tips, you’ll easily uncover hidden opportunities by analyzing all data, streaming or at rest.

Speakers

Dev Kannabiran is a senior data mining consultant with Dell Statistica. He holds a master’s degree in management information systems from Oklahoma State University and has years of experience in the application of predictive modeling and text mining. Dev has been involved with numerous Statistica deployment projects across various industries, including insurance, manufacturing, and financial services.

Event Details

Online

Oct.

29

• Date:Oct. 29, 2015
• Time:1:00 PM – 2:00 PM EST
• Duration:60 Minutes
• Location:WebEx
• Event:Online
  
  Register here