3 Ways Real-Time Financial Data Drives Business Intelligence
Finance is no stranger to using data in predictive analysis, forecasting, and more, but what can real-time data bring to the table?
Finance is no stranger to using data in predictive analysis, forecasting, and more, but what can real-time data bring to the table?
Results-only innovation is an exploration of what is viable and pragmatic. This can help produce additional value for businesses and end users.
Data can be a powerful enabler for innovation, but when used incorrectly, it can be a paralyzing force. It's a critical component in measuring and understanding the need for innovation—if you cannot measure something, you cannot improve it. Whether you collect data based on historical perspectives or through experiments, it can bring the insights needed for truly great innovations.
What separates the great innovators from the industry laggards? What empowers long-standing hierarchical organizations like LEGO to make big, creative bets that pay off (like the LEGO Movie) while other once-great brands like Tower Records, Pan Am, or Pets.com have all gone away?
More than half of the world's data has been created in the past two years. As digital connection and creation - the Internet of Things - becomes ever more prevalent, we have to consider how data can better be interpreted, personalized, and improved. In this podcast, we explore IoT, and how it can impact your business.
Starting your own business can be an exciting but challenging endeavor. Even for those experienced in management, entrepreneurship can be daunting. With unexpected obstacles that constantly crop up, you need to protect your business from day one if you wish to succeed. Here are some essential tips for safeguarding your startup:
Advancements in technology are the main cause of disruption across various industries these days. Technology brings numerous benefits and various opportunities for businesses. However, adopting and adjusting to new tech can oftentimes be quite challenging.
At the core of every successful business lies innovation. This innovation, however, doesn’t always have to be of internal nature in the form of a new product or an upgraded service in order to have a spectacular effect on your brand’s success.
The Information Age has made way for several innovations across the business world. While the business industry—much like the American educational system—has been slow to the uptake of implementing technological advancements into their marketing and planning strategies, the 2020s herald a new age for the use of data and technological advancement in companies big and small. 2019 is a fantastic transition year for learning how to use big data in a big way.
Last year, one of the most popular topics at the annual Open Nation innovation conference was metrics. How do you measure your innovation capabilities? How do you track your results from established programs?
As the Co-founder at Viima, an idea management software company, I frequently get asked about the future of idea management. With the amount of innovation that we’re seeing across industries, it’s hardly surprising.
Protect your business by discovering how to lower third-party risk when order custom software development.
Disaster recovery as a service (DRaaS) is a category of cloud computing designed to protect applications and data against natural and human disasters. It ensures that service disruption of a business is kept to a minimum by enabling a full recovery through the cloud. Most often it is handled by a third-party provider and managed by your internal IT personnel, removing some workload from your IT professionals and giving them peace of mind.
Data breaches at large companies like Facebook and Delta Airlines have brought cybersecurity to the forefront of boardrooms across the world. Major corporations, the healthcare industry, and even the federal government are all monitoring network and digital infrastructures closely. However, many individuals have a hard time grasping how cybersecurity is essential to them.
Innovation requires collaboration, but collaboration is stuck in a rut. Data science can help us climb out. It can increase the scale, the intentionality, and the nuance of how we collaborate. With the right data and algorithms, we can set our teams up to do something innovative.