Modern cloud solutions for analytics and information management will play a significant role in enabling and simplifying self-service access to the right data at the right time by all those who need it and have a right to use it. But this approach will require a process led by a strategy that takes
Disruptive innovations such as big data, machine learning, cognitive computing and cloud-based services are presenting analytics professionals with rapid transformation that impacts business. As a result, organizations are adopting new best practices for data analysis processes. Dig into this first
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
Although the weather can frequently be the go-to topic when engaging in small talk, it is very much intertwined with deeper discussions around the environment, global warming, and reducing carbon emissions. A rising tide of sensor-derived, Internet of Things data is now fueling a worldwide focus on
Those who are already competing in the insight economy are creating value in an ever broader array of ways, uncovering new insights from their data at every turn. Learn more about how can you join them in leveraging your own data to gain the competitive advantage in your industry.
Today, more than ever, businesses need to put the ability to analyze data into the hands of business analysts, data scientists, stakeholders and decision makers. Take an evolutionary look at how Apache Spark and big data discovery are just beginning to open up a diverse and powerful set of
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
Bob E. Hayes, chief research officer at Business Over Broadway and this week's big data and analytics hero, discusses his own big data learning curve. Looking ahead, he cites the critical need for statistical literacy to become widespread if society hopes to achieve the full value of big data and
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
Is your organization stuck at the edge of Hadoop adoption, searching for a path to broad use that doesn’t hold back your most proficient users? Big data discovery technology aims to help you bridge the chasm between early adoption and majority use, bringing rank-and-file users into the fold without
The world’s a risky place. And yet the human race has become very adept at risk mitigation in the face of every nasty thing it might throw our way—or that we may hurl at each other. Discover how social sentiment, beliefs and practices that perpetuate environmental risk factors can play a
Creating a visualization whose design serves its intended function—rather than the other way around—can be intoxicating, but don’t get so high on data that you lose sight of your audience. Find out how including too much information can neutralize your visualization—and your message with it.
As we’ve learned, choosing an appropriate level of detail lays the foundation for an effective visualization. But if you simply take your first design idea and run with it, you might be doing your data a disservice. Find out why redundant visualizations can turn detail into too much of a good thing