Immense amounts of data are flowing into and out of today’s businesses, but it's often difficult to know how to turn this data into actionable insights. Data science has incredible potential for businesses of all types to create models that find patterns in this data and use them as the basis for transformative software. From location sensor data and customer loyalty programs to predictive analytics that improve the customer experience, employee engagement, and operational efficiency, a world of possibility awaits organizations that can crack the data science code.
In the current hypercompetitive business environment, it’s not enough to automate processes and increase efficiency. To succeed, companies need to differentiate themselves from their competitors. But with the growth of digitally savvy customers who expect more from every transaction, it’s becoming increasingly difficult to differentiate on product alone. Customers are demanding a more personal, service-oriented approach from the companies with which they do business, and the bar continues to be reset at higher and higher levels. To meet this demand, and stay competitive, companies need to move from a transaction-based model to more value-based interactions. This means putting the experience first.
Digital transformation is on the tip of many tongues in the technology industry of late; but like many potentially seismic shifts, this concept’s meaning and the impact it will have on how day-to-day business gets done are taking some time to develop. CIO defines digital transformation as “the acceleration of business activities, processes, competencies, and models to fully leverage the changes and opportunities of digital technologies and their impact in a strategic and prioritized way.” But more than just acceleration, digital transformation is about the need for businesses to outpace digital disruption and stay competitive in a rapidly evolving business environment.
Regardless of industry, market, and geography, nearly every business on the globe has been touched by technological change. And these ongoing, and often unexpected, disruptions are impacting how business is conducted. For example, the World Economic Forum states, “It used to take Fortune 500 companies an average of 20 years to reach a billion dollar valuation; today’s digital start-ups are getting there in four.”
While increased competition is a powerful motivator for embracing digital transformation, so are the potential revenue opportunities. The World Economic Forum estimates that “the combined value—to society and industry—of digital transformation across industries is upwards of $100 trillion over the next 10 years.”
In this episode, we’re joined by IHL analysts Kelly Sayre and Jerry Sheldon to discuss the ongoing sensationalism of the so-called death of retail – and why it’s simply not true.
In a perfect world, functionality and ease of use would be the top criteria manufacturers use when deciding to purchase, replace, or upgrade their Enterprise Resource Planning (ERP) solution. Unfortunately, in the real world, cost considerations rear their ugly head. Business leaders are concerned about the price of not only purchasing the solution, but also how much it will cost to implement, support, and maintain. Further, there is significant concern that an ERP implementation will cause significant disruption to the business, cause the organization to lose focus, or even “break” business processes that the company looked upon as core to their success.
Digital technology is changing the world, one industry at a time. With these changes comes a reimagining of the supply chain, from the systems businesses use to communicate and interact, to the strategies they deploy to move goods around the world.
Digitalization gives rise to new business models, in which real-time connectivity, greater visibility, reactivity, and anticipation become the underlying characteristics of our supply chains. But this kind of change isn’t easy, and transformation doesn’t happen overnight.
By taking a staged approach to digital transformation, and building greater connectivity across the supply chain, businesses can pave the way toward a fully connected future, while still being able to tackle the biggest challenges they face right now.
For Corey Tollefson, SVP and GM of Infor® Retail and Fashion, retail isn’t a job. It’s not a hobby. It’s not just another customer. He lives and breathes the industry—and inspires teams of the best and brightest to follow him on the path to the Golden Age of Retail. Infor understands the symbiosis of retail and technology, and that harmony between them is the key to unlocking the greatest customer experiences of all time.
With the advent of “cashier-less” stores like Amazon Go, tomorrow’s retail shopping experience has the potential to transform in a big way—but are retailers ready? We discuss the benefits and pitfalls of adopting this exciting retail technology in its early stages. Listen now and learn more about the next generation of retail software here.
Direct mail is back—but this time, it’s providing advanced analytics about the buyer journey, intent, and conversion.
In this episode, Matt Gunn chats with Tom Barbaro of PebblePost, the company that invented programmatic direct mail. As most retailers have gone digital in their marketing efforts, the mailbox has become relatively vacant, clearing the way for “digitally reactive mail”—allowing retailers to retarget customers at home and capture advanced analytics about buyer intent and conversion.