Trends Identified
Data + decisions = differentiation
Insightful analytics can help organizations discover patterns, detect anomalies, improve data quality and ultimately take effective action. But as analytics tools have been incorporated into standard offerings from software vendors, it is becoming clear that the real advantage in analytics is gained before the analysis begins—in data collection; and after it ends—in decision making. Analytical maturity varies widely across companies and across industries: some organizations are already integrating analytical decision making into their business processes, while others are still working at basic measurement and collection. In the next phase, what may truly differentiate an organization is whether turning information into action becomes part of its DNA.“Everything elastic” is proving to be a durable concept, whose influence is spreading thanks to the technological developments sketched above. Business executives—and CIOs in particular—should consider reshaping their thinking in line with this concept. The idea of elasticity—scalable, infinitely flexible, adaptive—may be integrated into the very fabric of the business. Only then will high performance be achievable in this new market place.
2010
Accenture technology vision
Accenture
Data analysis systems for low- and high-molecular marker molecules
Systems to analyse data on low- and high-molecular marker molecules are hardware and soft ware systems offering highperformance analysis of proteins, nucleic acids and lowmolecular metabolites using miniaturised mass spectrometers. The unique feature of these systems lies in their ability to quickly identify the structure of molecules, which makes these technological solu tions highly in demand in biochemical diagnostics.
2016
Russia 2030: science and technology foresight
Russia, Ministry of Education and Science of the Russian Federation
Data and AI
Data and AI, which include both advanced analytics and artificial intelligence
2019
Tech for good
McKinsey
Data and analytics
Analysis of data to create real-time change
2016
Disruptive technologies barometer
KPMG
Data minimalism
"Data’s headline appearances throughout 2018 distorted people’s understanding of the value exchange between data owner (you) and data user (organizations). Expectations around how much people’s personal data is worth became falsely inflated, and the mystery surrounding how it’s used became a cause for concern. Moving forward, organizations must design for transparency, so that consumers can trust that they’re pursuing only the data they need to build new products and services, and that they’re using and storing that data responsibly. "
2019
Fjord trends 2019
Fjord
Data Monetization
Consumers increasingly collect, track, barter, or sell their personal data for savings, convenience, or customization; companies increasingly value sources of data direct from the consumer as a way of gaining a competitive advantage (e.g., Facebook, Uber).
2017
Beyond the Noise- The Megatrends of Tomorrow’s World
Deloitte
Data Privacy Will Adopt a Risk-based Approach
In an age when WikiLeaks has become a household name, every business leader is right to be even more paranoid about data privacy. Just as leading organizations now realize there is no such thing as 100 percent IT security, so complete data privacy is being exposed as a myth. In one study, the Wall Street Journal assessed and analyzed the cookies and other surveillance technology that companies use on the Internet. The study found that the nation’s 50 top web sites on average installed 64 pieces of tracking technology onto the computers of visitors, usually with no warning. A dozen sites installed more than a hundred each. 9 It will not be enough simply to accept the reality of data leaks. It will require very proactive responses from organizations to understand the risks surrounding the use and misuse of personal data. And it will require constant vigilance because things are changing so fast.
2011
Accenture Technology Vision 2011
Accenture
Data science monetization
Maximizing return with real-time analytics
2018
Corum Top Ten Disruptive Technology Trends 2018
Corum
Data security
Building barriers in an age of blurred lines
2018
Corum Top Ten Disruptive Technology Trends 2018
Corum
Data supply chain: Putting information into circulation
Yes, data technologies are evolving rapidly, but most have been adopted in piecemeal fashion. As a result, enterprise data is vastly underutilized. Data ecosystems are complex and littered with data silos, limiting the value that organizations can get out of their own data by making it difficult to access. To truly unlock that value, companies must start treating data more as a supply chain, enabling it to flow easily and usefully through the entire organization—and eventually throughout each company’s ecosystem of partners too.
2014
Accenture Technology Vision 2014
Accenture