Product lifecycle management (PLM) is vital for keeping product development a streamlined experience. However, as is the case in all things, this bellwether of modern operations is changing to make room for new applications, advanced technologies and next-generation, integrated analytics.
Performance management in sales is critical to business growth. The role of sales compensation leader illustrates, perhaps better than any other role in modern business, the lockstep relationship of business growth and evolving business roles. Today, the responsibilities of the sales compensation
In the highly competitive video game industry, keeping players engaged and loyal is crucial in capturing a major share of this lucrative market. Doing so involves using big data analytics to harness innovation and understand what players expect.
When looking for course-changing insight, connecting the dots of information can range from meticulous exercises to bursts of inspiration. However this wow-factor insight may be derived, it can take organizations and industries on a new trajectory characterizing the dawn of an era in which
Data engineers have much to learn from water management professionals, who have mastered the art of keeping filtered water on tap—ready at a moment’s notice. As information volumes begin to deluge data repositories and outpace traditional approaches, data professionals must use every tool at their
When it comes to customer relationships, no business wants to be caught by surprise. This is why organizations that consistently find themselves surprised by their customers should seek new data solutions to reduce unpredictability.
The world can become an increasingly safe place when people who are in charge of real-world safety and cybersafety are equipped with data and analytics. From cyber threat analysis to public safety prediction and response, here are the Safer Planet initiative’s top 10 stories of the year.
Even with ever-more advanced machine-based data analytics, when it comes to fighting cybercrimes and physical crimes, human thought and intuition are still irreplaceable—especially during the detection and mitigation phases.
Renewable energy storage and predictive analytics have the potential to solve challenges in the wind and solar energy field. Advanced analytics, IoT technologies and energy storage technologies provide energy and utility organizations the opportunity to increase the sophistication of their demand
Organizations that have built a data-driven culture are seeing gains in efficiency and capability that are allowing them to become leaders in their industries. Learn how you can begin integrating data science into your organization, enabling new ways of activating data as part of an enterprise-wide
With the proliferation of digital data, how can healthcare providers manage all this information while complying with mandated requirements? Cognitive computing can help providers understand the importance of this data and leverage it to become a key asset.
Sophisticated urban developments will play a key role in the future of wind energy. As areas with higher population densities consider integrating high-tech wind developments, city planners and energy providers must adopt some of the latest technologies and approaches to preliminary impact modeling
As governments increase reliance on clean energy, provider analytics plays a crucial role in developing a global energy solutions. China and Germany are two examples of countries leading the way in renewable energy adoption and the potential economic impact of clean energy.
In retail, analyzing weather data patterns is about more than knowing if it's going to rain this weekend. Computing advances in the big data era have produced important weather-tracking developments that represent an important opportunity to improve sales and reduce waste.
What happens when you combine training, best practices, success sharing, mentoring, inspiration and a rock concert? You get an incredible immersive data science experience that benefits and thrills both new and experienced data scientists.