Advanced analytics is among the top buzzwords today due to the potential results this leading technology can bring. However, from statistics we’ve seen, efforts to develop and deploy these solutions fail as often as they succeed. Based on our experience, I’d like to review how we approach our customers and projects to give you some guidance to maximize your chance of success.
Here, in the Horse Capital of the World, you can find a perfect combination of Advanced Analytics and Horse Racing. Horse Racing, the sport of Kings, has become more popular in recent years, attracting more fans in part due to the improving economy and the new efforts by the industry to reach out to up and coming fans. Those who are in this industry are those who love the sport and the magnificent horses who run the races. Recently at Keeneland Racetrack, there was a Welfare and Safety Summit for the horse racing industry on research and measures taken to ensure safety and integrity at the racetrack and additional common sense measures. One of the most interesting presentations was done by Tim Parkin, a professor of veterinary epidemiology who is conducting research with advanced analytics, Parkin is attempting to create and deploy a model that predicts with a high level of accuracy which horse for which race will suffer a non-fatal or fatal injury.
Most of you know that the printing market is declining and will continue to decline as fewer and fewer printed pages are being replaced by electronic documents. This has an impact not only on new printer shipments but more importantly on the printer installed base which is what drives consumable and maintenance revenues. Why is this significant? Well, because consumables represent about 65% of total print revenue and a higher percentage of profits to printer manufacturers and this is why printer manufacturers spend huge amounts of money in legal fees defending their printer cartridge patents.
Being a successful office products provider is getting tougher. Historically, if you did a reasonably good job of providing customer service, managed to maintain a steady stable of good sales people, and managed your expenses reasonably well - you could make really good money owning an office products dealership. Let's face it, all that printing and copying that was happening in offices provided you with a steady, annuity-based revenue stream. Life was good.
The debate for using Python or R to do data analysis can be dated back to 2015. Before coming to a quick conclusion, you need to know how the Python and R is being used to do data analysis and the differences between them.
A Data Scientist is “a person employed to analyze and interpret complex digital data, such as the usage statistics of a website, especially in order to assist a business in its decision-making.”
The term ‘predictive policing’ conjures a wide range of emotions. For police a powerful new tool like predictive analytics can give them a sense of hope that they will be able to take more preventative measures in their fight against crime.
What constitutes the backbone of any data science project? According to me it is not the statisticians, not the analytics, and not the predictive model but the data, its quality and quantity. So, who is the chief enabler for a firm to obtain this data? It is none other than the data engineers.
When an individual signs on to become a project manager, they sign on for more than a start and end date. Projects are presented in all different forms, theoretical, open-ending, risk-intensive, investigative, programming, along with new approaches for a project manager on how to manage its’ success and completion as soon as they wake up first thing in the morning.
Most, if not all of us, in the imaging industry realize that our industry is declining and will continue to decline. Realizing that their printer revenue, margins, and operating profits will be shrinking, printer manufacturers and resellers are looking at ways to reduce costs and to improve efficiency but doing so without sacrificing customer service. For years, as a way to prevent hardware margins from declining faster as average sales prices have declined, printer manufacturers have focused on reducing manufacturing costs to the point where there is little more that can be done on the cost side.