Content related to ‘Big Data’
By investing in the right mix of technology and talent, global companies can turn business disruption into competitive differentiation, according to a recent KPMG LLP survey of more than 600 global senior executives. Results from the survey, “Succeed in Constant Change,” indicate top-performing companies are able to sustain growth and increase profits in the face of the near-constant change. While more than three-quarters (76%) of executives polled said they saw disruption as constant and most likely increasing in the future, only 17 percent said their companies were prepared for the coming volatility with a strategic approach. “The disruptors range from emerging competitors using new, disruptive business models to the explosion of data from always-on devices and revolutionary consumer experiences that force businesses to transform their entire operations,” explained John Cummings, principal, KPMG U.S. Advisory Industry Leader for Industrial Manufacturing. Take a look at the infographic below to find out about the top five disruptors, and which ones present the biggest challenges, and opportunities: “The fastest-growing and the most profitable organizations are increasingly – and smartly – leveraging these disruptors to continually deploy new business models, accelerate decision-making, convert data into valuable knowledge and focus on the customer,” said Steve Chase, KPMG’s U.S. Advisory Management Consulting leader. In fact, survey respondents whose companies were generating a profit of 11% or greater reported making 25% higher-than-average investments in digital and mobile. Areas of investment include engaging with customers, growing the digital enterprise, and enabling a mobile workforce. Related articles across the web Other posts by Real Street Tech NOTE:This is a summary of a post found on Real Street Tech | The Smart Place For CRE.Parts of it may be missing. View the full original article at:http://realstreettech.com/few-companies-are-prepared-for-business-disruption/
Credit: JLL The shortage of real estate and workplace-focused data scientists is becoming a major concern for corporate real estate (CRE) departments, according to JLL research. CRE departments are not only competing with each other, they are facing competition with the tech industry and start-ups, competitors, service providers and even other departments within their own companies. In the last five years, CRE leaders have become fierce competitors in the battle for technology talent. C-suite leaders now recognize that data and analytics are pivotal for creating strategic workplaces. And they are demanding data, metrics and predictive scenarios from corporate real estate experts that inform financial, operational, recruiting and employee satisfaction goals. “To exceed C-suite expectations, CRE teams must become more adept at using data and analytics to fully capture, understand and interpret the information within their own real estate portfolios,” says John Forrest, JLL’s CEO of Corporate Solutions, Americas. “New analytics platforms provide the infrastructure but it’s also essential to hire the right people who can interpret the data and bring meaningful insights to business leaders.” CRE Departments Feeling The Crunch “Even the best data in the world still needs to be brought to life, interpreted by trained, capable professionals,” said Richard Brown, Head of Business Intelligence at JLL. “Robust data with strong governance is the beginning. Powerful visualizations and analytics bring the pieces of the puzzle together.” According to a new JLL report based on a Forrester Consulting study, corporate real estate teams recognize that they are severely under-staffed. This remains true regardless of industry or company size. Only 28 percent of CRE executives describe their company’s use of data analytics as “data-centric,” but a sizable 56 percent expect their companies to become data-centric in the next three years. “The corporate real estate industry has a lot of hiring to do,” said Forrest. “Some CRE teams are creating in-house departments with people offering data and analytics skills to perform the data scientist function. Others look outward, and expect their outsourced real estate service providers to deliver both expertise and technology.” To meet this growing need, JLL recently introduced its leading real estate data and analytics platform RED. The new platform brings together master data governance, knowledge management, business intelligence and advanced analytics, underpinned by cutting-edge technologies and tools. The platform was designed to dramatically improve data-driven decision making and give clients the power to turn real-time real estate and workplace data into timely and meaningful business insights. Related articles across the web Other posts by Real Street Tech NOTE:This is a summary of… …Read More…
The Georgia Institute of Technology and University of North Carolina’s Renaissance Computing Institute (RENCI) will co-direct a new Big Data Regional Innovation Hub serving 16 southern states and the District of Columbia. The South Big Data Regional Innovation Hub (South BD Hub) — jointly housed at Georgia Tech and UNC-Chapel Hill — is part of the National Science Foundation‘s (NSF) Big Data Regional Innovation Hubs. The initiative will address regional challenges through data analysis. Srinivas Aluru, co-principal investigator at Georgia Tech and professor in the School of Computational Science and Engineering. (Credit: Georgia Institute of Technology) “The award of the South BD Hub to Georgia Tech and UNC-Chapel Hill provides the right context for collaboration among 75 stakeholders in academia, industry and the nonprofit sectors, which will allow us to address large-scale challenges facing many southern states,” said Srinivas Aluru, co-principal investigator at Georgia Tech and professor in the School of Computational Science and Engineering. “Data science touches all aspects of the human experience, and the Hub will enable us to bring data together in a complementary way for better problem solving in our communities. It already is initiating new collaboration and dialogue among many large stakeholders in a way that would not have happened otherwise.” Projects will include: Health Care: disparities, care and outcomes; precision medicine; genomics. Coastal Hazards: understanding and mitigating natural and manmade disasters. Industrial Big Data: cyberphysical systems; Internet of Things; data-driven management of infrastructure such as utilities. Materials and Manufacturing: bridging the gap between materials science and manufacturing practice. Habitat Planning: smart cities, transportation, rural-urban infrastructure and wildlife habitats. “The important problems of our time — from solving disparities in health care to understanding the risks of coastal storms and floods — involve making sense of massive amounts of data,” said Ashok Krishnamurthy, deputy director at RENCI and co-principal investigator on the South BD Hub. “The chance to lead this project with Georgia Tech means we will be at the forefront of using data for the public good.” The South BD Hub will serve Alabama, Arkansas, Delaware, the District of Columbia, Florida, Georgia, Kentucky, Louisiana, Maryland, Mississippi, North Carolina, Oklahoma, South Carolina, Tennessee, Texas, Virginia and West Virginia. Initial funding for the South BD Hub is $1.25 million over three years. To serve the rest of the U.S, three additional regional hubs for data science innovation have been created at Columbia University (Northeast Hub), the University of Illinois at Urbana-Champaign (Midwest Hub) and the University of California, San Diego; the University of California, Berkeley; and the University… …Read More…
This disruption impacting facilities management holds significant promise if stakeholders are cognizant of their roles in the emerging landscape.
Tracking energy use and operational efficiency can be eased by employing energy management, as a service.
According to Gartner, 25% of large global companies will have adopted big data analytics for at least one security or fraud detection use case (up from 8% today).
Facility managers should consider new strategies to merge siloed building systems to achieve operational excellence
The economic climate is impacting investment in construction which has the potential to slow the growth of smart building deployments globally.
Advanced solution combines big data analytics and weather modeling technology to predict output of individual wind turbines.
IMS Research has recently released its annual intelligent building trends white paper. These predictions for 2013 and beyond serve to provide insight into key trends and opportunities in the intelligent buildings industry.