There’s immense pressure in the marketplace for organizations to become data driven and utilize the flows of data in and out of the business. When an organization harnesses its data properly, many advantages can be gained. These benefits include an increase in competitive advantage, finding new revenue opportunities, increasing profitability, increasing customer service and satisfaction, as well as achieving operational efficiencies. Unfortunately for some, the promise of those benefits comes at a cost and real value is never realized.
The availability of information about products and services, from choosing a restaurant for lunch to implementing enterprise-wide analytics software, empowers modern consumers and businesses to become more educated and proactive than ever before. Such detailed data means the competition is more robust than in the past because these consumers can easily compare products and prices. Also, the expectations of the products and services’ derived value has increased. To be effective in getting through the noise to end customers, salespeople need to stand out as trusted advisors and leaders who add value and solve complex customer challenges.
With Halloween now behind us, I can't help but think about the upcoming winter holidays. Like many children, I grew up helping my parents decorate the outside of our house with an abundance of holiday lights. My father, an electrical engineer by training, always meticulously organized the overall process, including how we prepared and organized the lights for the following year. As a child, I always thought the organization was a bit overkill. However, as an adult, I came to appreciate the extra time we spent organizing the boxes, wrapping and testing the lights, and sealing the bags airtight. If it weren't for the additional organization, the decorating process would have been stressful and ruined the overall holiday spirit.
Many IoT projects originate as open discussions with lines of business (LOB) that aren’t related to the IT department.
Here’s a recent example that we heard from a college at a technical seminar:
“We had a theft incident last night. Our new building construction site was robbed again and we can’t have someone sit there every night to monitor the site.”
Thanks to modern communications infrastructure we can bring the compute power from the likes of Amazon, Microsoft, and Google to just about any point in the developed world. But what do your customers do when they need data-heavy analytics in remote, rural, or undeveloped locations? They can’t always afford to build a data center where they need them. The poor quality of infrastructure in these regions prevents the use of high bandwidth solutions. But there must be a solution, right?