Nowadays, we live in an attention economy. Everyday and every minute, people get a steady stream of notifications, message, and ads—all competing for attention. This barrage of information has raised the ever-important question: how do you break through the noise and get customers’ interest?
Technology is rapidly transforming how customers deal with businesses—and how businesses cater to customers. Advancements in technology have enabled customers to share their experience, both good and bad, of using a product or a service they received. Though all this information is used by businesses to measure customer satisfaction, how can they be certain that they're personalizing offers that are relevant to customers and tapping into the real opportunities?
Artificial intelligence is rapidly developing, and the future only looks bright for the tech. It’s disrupting companies across various sectors and areas, and it won’t be long before it makes an even bigger impact and radically transforms the way companies do business—yours, included.
On its own, a patient’s appointment cancellation might not amount to much. But on a bigger scale, it can result in operational inefficiency, decreased customer satisfaction, and even losses in revenue. As such, it has become a pressing issue that the healthcare industry needs to address. No-shows are inevitable though.
Modern day marketers have a mountain to climb. You need to ensure that you deliver a continuous and consistent brand experience and meet customer demands across a broader ecosystem. This has led to a major shift in the marketing world: from being product-centric to becoming customer-centric. As such, it has become increasingly crucial to achieve a refined understanding of your target market.
The world of pharmaceuticals is no stranger to data. Clinical research itself relies significantly on empirical data to test theories and determine treatment effectiveness. As the industry grows, so does the amount of data available. This offers a prime opportunity for pharma organizations to scale analytics adoption and incorporate more sophisticated data science techniques.
The data science world today is filled with so many terms that promise to facilitate digital transformation—robotic process automation (RPA) being one of them. Like related technologies, it is associated with optimized business processes and cost control, but how exactly does it accomplish these and what other opportunities does it provide your industry? Let’s explore this capability further.
We’ve already made the case for how important analytics is in the field of human resources, but let’s not stop there. Organizations can take it one step further with AI-powered insights. Not only will artificial intelligence help streamline operations and improve efficiency, but it also plays an integral role in optimizing the human aspect of employee management: quality conversations and interaction, mentoring, and promoting motivation in the workplace.
Dashboards—they’re the face of your analysis, the interface of your business. They help you organize and visualize your data and most importantly customize how you present intelligence to different stakeholders. They reveal valuable insights at a glance, keep you informed, and can chart your next steps to success. They ultimately serve the purpose of keeping everyone in the organization on the same page.
In today’s technological landscape, businesses are more data-dependent, with vast pools of data at their disposal. What to do with it and how to make sense of it all is a challenge we attempt to solve with data science—starting with data discovery and ending with analytics that aid in critical business decision making. Now, there are numerous ways to extract meaning from data.
