Executives are now face-to-face with machines that can learn from massive amounts of data. It’s changing people’s relationships with technology and it’s opening the door to truly data-driven decision-making. It’s time to welcome science into the C-suite to find a new mix of mind and machine.
What does a truly data-driven business look like as a new age of artificial intelligence dawns—and how do organisations find the right balance among all the moving parts behind big decisions?
Executives have been making decisions with a combination of data and gut instinct for a long time. To keep pace with the competition, leaders should balance their instincts with enhanced, data-driven insights.
Reimagining forecasting may seem like a gratuitous exercise in crystal ball design, but it is becoming a critical step that companies should take to maintain their positions as market-leading organizations.
Big business decisions don’t commonly include people analytics—but they should. Learn how data about employees can shape your business strategy.
PwC's Oliver Halter and Ritesh Ramesh talk about how businesses need a comprehensive, results-driven and forward-thinking strategy to enable their data and analytics capabilities
CEOs believe their companies are getting better at creating value from data and analytics. They’re seeing smarter use of data and better delivery of the right information at the right times.
Data and Analytics insights increase the speed and sophistication of decision making. Have you embedded analytics into the decision making culture of your organization?
Businesses need to adapt by adopting a forward-looking information management and analytics vision to succeed.
In this piece, we focus on streamlining the data collection and management processes, shifting focus from gathering data to analysis, and how tax can leverage data to more strategically within the organization.
CEOs recognize the strategic importance of data. Embedding analytics into their decision-making culture can help organizations grow, operate more efficiently and manage risks.
Leveraging data and analytics to increase the speed and sophistication of your decision-making helps banks operate more effectively, better manage their risk, innovate and grow.
Data and analytics has the potential to be a disruptor and impact shareholder value. The data and analytics operating model drives the difference between leaders and laggards.