Analytics strategies are useful tools to aid you in your decision making, but that doesn't mean you should only rely on your interpretation of direct data to make a decision. For example, data may not be able to pinpoint red flags that an experienced professional may catch by instinct. It also can't open the door for creative problem solving; it may suggest a certain problem area, but it often takes a human creative element to find an alternative solution.
In the years that MIT Sloan Management Review has been studying the effects of data analytics in companies, we've noticed the reality of its value and staying power--and how best to use it--has started to come into sharp focus. In a new research study we conducted with SAS, we determined that most companies are not prepared for the strategic changes required to achieve success with analytics. In fact, the key failing among organizations that have been unable to gain competitive advantage from analytics or to use analytics to innovate is their lack of a strategy. This is not to say companies are ready to give up on analytics just yet. Our research also revealed that, despite challenges, more than two thirds of managers remain optimistic about the possibilities with analytics.
What does it take to win the data wars? How do you ensure you're extracting true value from data to advance your organization? Data science is the art (and science) of extracting insights from data to inform decisions. Organizations that lead with data science are achieving greater productivity, increasing ROI, and driving improved performance and competitive advantage. Data science is the key to understanding the past, predicting future trends, and taking optimal action.
Samsung's S20 devices overwhelmingly dominated the US 5G smartphone market in the first quarter of this year, according to new research from Strategy Analytics. The S20 Plus 5G was the bestselling phone, grabbing 40 percent market share. The Samsung Galaxy S20 Ultra 5G was the second most popular 5G smartphone, taking 30 percent of the market. The Galaxy S20 5G came in third with 24 percent. The data shows that while 5G is still in its infancy, Samsung has an early lead over rivals like Motorola, LG, OnePlus, and TCL.
IDC's Asia/Pacific Artificial Intelligence and Data Analytics Strategies examine the key market trends, competitive landscapes, technologies, and end users' buying behaviors from IT and LOB standpoints, with focused research on areas of AI and Big Data (BD) -- a new generation of software designed to extract value from very large volumes and types of data. This service also provides quantitative data/qualitative insights to help customers identify key areas of growth by country, maturity, functional levels, and vertical markets and understand platforms for the development of analytic and cognitive applications by combining supply and demand perspectives.