This video reveals how to easily apply predictive analytics to big data with Statistica. Watch it now to see how to gain a competitive edge with simplified data analysis and data mining capabilities.
Many end users see Hadoop as a magic remedy for the data and analytics challenges of today’s more sophisticated business demands. To many, the term Hadoop equals big data when in fact Hadoop is only one route to successfully driving big data innovation. Krish Krishnan, President and CEO of Sixth Sense Advisors and Shawn Rogers discuss where Hadoop fits into your data ecosystem and how MySQL and other technologies are playing a key role in smart big data strategies on this week’s #ThinkChat segment. #ThinkChat discussion with Krish Krishnan Part 2 of 3
By far the hottest job title in years, the data scientist has become the unicorn of the analytics world. Do you have one on your team? Do they cost a fortune? Could you replace them with automation? Tom Davenport and Shawn Rogers discuss the role of a data scientist and how the position is evolving on this week’s #ThinkChat segment. #ThinkChat Discussion with Tom Davenport Part 7 of 7
Big Data and analytics are creating new business opportunities for traditional companies to compete with data. Smart firms are working to leverage their investment in data and analytics to create new innovative data driven products. Selling this insight or using it to build better products and services is an exciting opportunity for companies to explore. Tom Davenport and Shawn Rogers discuss the impact of data products on this week’s #ThinkChat segment. #ThinkChat Conversation with Tom Davenport Part 5 of 7
New technologies are causing confusion and complexity across the data ecosystem while the role of the data scientist is undergoing significant change. Meeting the new analytic needs of innovative organizations is getting harder and requires smarter strategies to keep pace. Krish Krishnan, President and CEO of Sixth Sense Advisors, and Shawn Rogers discuss the newest trends and strategies in big data innovation on this week’s #ThinkChat segment. #ThinkChat Conversation with Krish Krishnan Part 3 of 3
Speed is one of the top drivers for IT and business leaders looking to take advantage of Big Data and analytics. Moving as fast as the business requires is no longer a luxury item it’s table stakes and companies that can’t execute analytics to match critical business processes will lose. Tom Davenport, John Thompson and Shawn Rogers discuss the impact that speed, visualization and Agile Analytics have on innovation and the companies striving to leverage Analytics 3.0 on this week’s #ThinkChat segment. #ThinkChat Conversation with Tom Davenport, John Thompson Part 1 of 8
There is a new breed of user in the analytics community dubbed the “analytic amateur”. This new group of data consumer is bending the rules and creating new challenges for analytically driven architectures. Tom Davenport and Shawn Rogers discuss where these users fit on today’s analytic environment and how they align with the dawn of Analytics 3.0 on this week’s #ThinkChat segment. #ThinkChat Discussion with Tom Davenport Part 6 of 7
Privacy is becoming a critical issue in the analytic world. Companies are collecting a wide variety of data on customers and applying advanced analytic techniques that can often cause surprise and sometimes concerns for privacy. Tom Davenport, John Thompson and Shawn Rogers discuss privacy concerns and the need for transparency when utilizing advanced analytic insights on this week’s #ThinkChat segment. #ThinkChat Conversation with Tom Davenport, John Thompson Part 2 of 8
Many companies today are working with a wide variety of analytics models and applications. Managing and optimizing them is quickly becoming a tremendously time consuming and impractical chore. Automation and model optimization are the keys to scaling your analytic environment to embrace the opportunities of Analytics 3.0. Tom Davenport, John Thompson and Shawn Rogers discuss where machine learning plays a role in optimizing your analytics and managing thousands of models on this week’s #ThinkChat segment. #ThinkChat Conversation with Tom Davenport, John Thompson Part 4 of 8
This video illustrates how predictive analytics can help break down the barriers to better data analytics. With Native Distributed Analytics and Collective Intelligence, Statistica can help redefine the economics of analytics to make better business decisions.
Statistica has historically received high marks for user satisfaction, so it stands to reason that the platform’s latest enhancements are geared toward improving the user experience and addressing practical business user concerns. In this short #ThinkChat video, Statistica’s marketing director, Shawn Rogers, visits with John Thompson about native distributed analytics, edge analytics, data security, R compatibility, and the future of “collective intelligence.” http://software.dell.com/products/statistica/matrix.aspx
Shawn Rogers, Marketing Director, Statistica, introduces a series of chats with key pharmaceutical and manufacturing customers, as well as with thought leaders about analytic trends, database evolution, IoT, and more.
When it comes to developing success in the brave new world of big data analytics, Robert John Lake, senior data scientist at Cisco, says analytic success must be driven by the comprehension of business needs more so than the comprehension of mathematical algorithms. In this short #ThinkChat video, Statistica’s marketing director, Shawn Rogers, visits with Lake, who describes at length the three best tips he puts into practice.
Who better to ask about general analytic trends in various vertical industries than someone who was instrumental in building the world’s most user-friendly analytics platform? In this short #ThinkChat video, Statistica’s marketing director, Shawn Rogers, visits with Thomas Hill about Statistica’s manufacturing and healthcare use cases, and what makes a business a good candidate for analytics at all.
The idea that one architectural model would suit all types of data needs is no longer applicable to today’s various database formats. Relational is still the mainstay of data warehouses, but most companies now have multiple database apps. So how do companies find out now what they need—how do they get started with newer database technology? In this short #ThinkChat video, Statistica’s marketing director, Shawn Rogers, visits with Guy Harrison about data format trends and hybrid database solutions.