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The age of analytics: Competing in a data-driven world

December 2016—Big data’s potential just keeps growing. Taking full advantage means companies must incorporate analytics into their strategic vision and use it to make better, faster decisions.
Age of Analytics

From the McKinsey Quarterly

Article - McKinsey Quarterly

Pushing manufacturing productivity to the max

– Advanced analytics and lower-cost computing give companies a powerful tool for managing profitability on an hourly basis.
Article - McKinsey Quarterly

Making data analytics work for you—instead of the other way around

– Does your data have a purpose? If not, you’re spinning your wheels. Here’s how to discover one and then translate it into action.
Article - McKinsey Quarterly

Straight talk about big data

– Transforming analytics from a “science-fair project” to the core of a business model starts with leadership from the... top. Here are five questions CEOs should be asking their executive teams.
Article - McKinsey Quarterly

An executive’s guide to machine learning

– It’s no longer the preserve of artificial-intelligence researchers and born-digital companies like Amazon, Google, and Netflix.

NEW USE CASES

Executive Briefing - McKinsey Global Institute

What’s now and next in analytics, AI, and automation

– Innovations in digitization, analytics, artificial intelligence, and automation are creating performance and productivity opportunities... for business and the economy, even as they reshape employment and the future of work.
Article

Beyond the buzz: Harnessing machine learning in payments

– Given today’s rapid growth of data capture and affordable high-performance computing, McKinsey sees many near- and long-term... opportunities to expand the use of machine learning in payments. These include everything from using Web-sourced data to more accurately predict borrower delinquency to using virtual assistants to improve customer service performance.
Video

What next for blockchain?

– The conversation around blockchain is changing. We’re only now starting to understand this technology’s full potential, says one... executive.
Video

Getting serious about blockchain

– How an “Internet of value” can redefine the very nature of transactions and transform the global economy.

ORGANIZING FOR SUCCESS

Podcast

How to win in the age of analytics

– There’s greater potential in big data. What’s ahead as the field matures?
Article

Using agile to accelerate your data transformation

– Data-management issues can undermine companies’ ability to create value from analytics. Some businesses are using agile principles... to make sure data are available when and where they are needed.

INDUSTRY PERSPECTIVES

Article

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.
Article

Reimagining fabs: Advanced analytics in semiconductor manufacturing

– Fabs want to streamline the end-to-end process for designing and manufacturing semiconductors. Will innovative analytical tools... provide the solution they need?
Article

Analytics in banking: Time to realize the value

– By establishing analytics as a true business discipline, banks can grasp the enormous potential.
Article

The secret to smarter fresh-food replenishment? Machine learning

– With machine-learning technology, retailers can address the common—and costly—problem of having too much or too little fresh food... in stock.
Article

How analytics can improve asset management in electric-power networks

– New technologies and advanced computational methods can help transmission and distribution companies save money, reduce risk,... and improve the reliability of their critical assets.

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More insights

Article

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.
Article

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.
Article

Capturing value from your customer data

– Companies can put their information to work by teasing out novel patterns, driving productivity, and creating new solutions.
Article

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.
Article

Unlocking the power of data in sales

– Analytics plays an increasingly important role in B2B sales—and high-performing sales organizations take it to a new level... to differentiate themselves from the also-rans.
Article

How retailers can improve price perception—profitably

– New methodologies, powered by big data and advanced analytics, can help retailers attract value-conscious consumers without sacrificing... margins.
Article

Creating a successful Internet of Things data marketplace

– Monetizing the flood of information generated by the Internet of Things requires a well-executed strategy that creates value.
Podcast

How advanced analytics can drive productivity

– Companies have more data than ever at their disposal, but are they doing enough with it? Taking full advantage requires tackling... legal, regulatory, and talent challenges.
Article - McKinsey Quarterly

People analytics reveals three things HR may be getting wrong

– More sophisticated analyses of big data are helping companies identify, recruit, and reward the best personnel. The results can... run counter to common wisdom.
Article - McKinsey Quarterly

Using analytics to turbocharge China’s e-commerce performance

– Facing market saturation and more selective consumers, online retailers will need to make better use of data analytics to gain... ground.
Commentary

Big data analytics should be driven by business needs, not technology

– Big data analytics can deliver massive value, but too often companies let technology guide their efforts. Instead, decisions must... be based on business priorities.

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