Pushing manufacturing productivity to the max
Advanced analytics and lower-cost computing give companies a powerful tool for managing profitability on an hourly basis.
Harnessing the potential of data in insurance
Insurers collect a wealth of data, but few have found a way to monetize this asset. New “data as a business” models point the way forward.
Ops 4.0: Fueling the next 20 percent productivity rise with digital analytics
Business needs to raise productivity more than ever. Thanks to innovations in digitization and analytics, four new methodologies can yield the productivity breakthroughs organizations need.
Analytics in banking: Time to realize the value
By establishing analytics as a true business discipline, banks can grasp the enormous potential.
Applying analytics in financial institutions’ fight against fraud
Using data along with other cutting-edge tools can help organizations make better decisions and step up efforts to monitor fraudulent transactions.
How retailers can drive profitable growth through dynamic pricing
The secret is in customization: dynamic-pricing solutions must be tailored to a retailer’s business context, objectives, and ways of working.
I margini secondo McKinsey
La conoscenza del comportamento di acquisto dei clienti costituisce la base per poter mettere in pratica strategie di prezzo che consentano di recuperare margini di guadagno.
The heartbeat of modern marketing: Data activation and personalization
Technology has finally advanced to the point where marketers can use real-time data in a way that is both meaningful to customers and profitable for companies.
AUTO: il business dei Big Data
La connettività delle vetture porterà alla creazione di un'enorme quantità di dati. Un rapporto di McKinsey & Company analizza le opportunità connesse all'utilizzo di queste informazioni: un...
The evolution of model risk management
An increasing reliance on models, regulatory challenges, and talent scarcity is driving banks toward a model risk management organization that is both more effective and value-centric.
Capturing value from your customer data
Companies can put their information to work by teasing out novel patterns, driving productivity, and creating new solutions.
Moneyball for engineers: What the semiconductor industry can learn from sports
R&D leaders can boost productivity by using advanced analytics to create stronger, faster engineering teams.
From disrupted to disruptor: Reinventing your business by transforming the core
Companies must be open to radical reinvention to find new, significant, and sustainable sources of revenue.
Optimizing back-end semiconductor manufacturing through Industry 4.0
Can Industry 4.0 tools help back-end semiconductor factories capture elusive gains in productivity, throughput, and quality?
How technology is reshaping supply and demand for natural resources
The ways we consume energy and produce commodities are changing. This transformation could benefit the global economy, but resource producers will have to adapt to stay competitive.