Business Process Optimization

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Managing With Immature AI

  • Blog
  • Read Time: 4 min 

Though the current state of AI falls short of its promise, managers should find ways to incorporate it into business practices now. Using pragmatic, thoughtful experiments and being transparent with customers and suppliers, organizations can learn and develop their own capabilities as AI continues to rapidly evolve.

How to Monetize Your Data

  • Research Highlight
  • Read Time: 10 min 

Companies can monetize their data by improving internal business processes and decisions, wrapping information around core products and services, and selling information offerings to new and existing markets. Adopting any of these approaches, however, requires management commitment to specific organizational changes and targeted technology and data management upgrades.

Taking a Value-Chain Perspective on Innovation

Market leaders have many advantages when adopting new technologies such as e-business, but they don’t always make the move. Why? It’s partly because new technology can be leveraged along a chain of related companies only if business partners also make the leap to adopt these changes. And research reveals that when large companies are significantly concerned about customer adjustment costs of new innovations, these powerful and otherwise highly capable organizations often resist change.

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Building a Better Car Company With Analytics

Using data and analytics to understand the complexities of modern business has become not only common, but essential. Gahl Berkooz joined Ford Motor Co. in 2004, eventually becoming head of data and governance and a member of the company’s global data insights and analytics skill team. Berkooz became acutely aware of how important analytics is to the company’s ability to thrive in the global marketplace. “What it boils down to,” he told MIT SMR’s Michael Fitzgerald, “is that we know how to make decisions. It’s about finding the opportunities to bring data and analytics to make better decisions.”

Tech Savvy: February 26, 2016

Peter Drucker defined the work of business leaders by three principal tasks: delivering financial results, making work and workers productive, and managing a company’s social impacts. Technological advances have transformed — and continue to transform — the world in myriad ways since Drucker published that definition in 1974. But technology hasn’t changed Drucker’s tasks. Instead, it is giving rise to new and better ways of executing them. This new column aims to help you identify big ideas and new tactics at the intersection of technology and management.

How Time-to-Insight Is Driving Big Data Business Investment

With the emergence of a digital economy over the course of the past two decades, leading companies have learned that they must act faster to respond to customer needs and competitive dynamics. The fourth annual Big Data Executive Survey confirms that Fortune 1000 firms recognize that faster time-to-insight correlates with success and will be the driving force behind Big Data investment for the years ahead.

Ready or Not, Here IoT Comes

The Internet of Things is on the brink of transforming business, but most businesses aren’t ready for the changes to the marketplace that the IoT will bring. There is very little time for companies to prepare for the changes coming as data-collecting devices proliferate. The good news is that by recognizing certain challenges, organizations can begin the possible, albeit difficult, process of getting ready.

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Overcoming Legacy Processes to Achieve Big Data Success

Most large corporations are saddled with fragmented analytical processes, limiting their ability to operate with agility, flexibility, and insight. As a result, larger firms are often challenged when it comes to innovation and responsiveness. But Big Data approaches that enabled the flexibility and rapid growth of newer, smaller firms are being adopted by mainstream corporations. The goal: overcome legacy challenges and introduce greater corporate speed.

Deodorizing Your Data

Problems with data quality come from a lot of sources — short-term solutions, mergers or acquisitions, or even the mundane complications of living in a complex society. The “stench” that develops when data quality declines can create serious issues for data-driven business. If a foul odor is emanating from your data, one solution might lie in refactoring analytics processes.

Innovating with Airborne Analytics

Hong Kong’s premier airline is using a blend of data and know-how to guide its daily operations. In an interview with MIT Sloan Management Review, Cathay Pacific CIO Joe Locandro describes how the airline uses analytics to make decisions that balance data with what it knows from the field. “Analytics will give you statistical spreads, give you training, but you still need to have this thing called experience and insight,” he says.

Sustainability Reporting As a Tool for Better Risk Management

GRI is an international organization based in Amsterdam with offices around the world. It produces a set of standards used by organizations in over 90 countries and has become the global standard-setter for sustainability reporting. But as the organization’s Chief Executive, Michael Meehan, explains, sustainability reporting is not about writing a report; it’s the process by which organizations identify their risks related to important issues, like human rights, the environment, labor and other social issues.

Once You Align the Analytical Stars, What’s Next?

You’ve figured out how to get the data, and how to make sure it’s good quality. You’ve hired the right people to put your data through the analytics wringer. Now you’ve got the results in your hands &mdash and you may not be sure what to do next. Consuming analytics effectively — and getting business value out of your analytics — is a challenge for many companies, and executives must get creative to increase their comfort level.

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Data Analytics Makes the Transition From Novelty to Commodity

Business is nearing a tipping point in which the use of data analytics is becoming routinely adopted. While widespread adoption of analytics will mean that it offers less competitive advantage to companies, it also means that the business environment overall will change. Information systems expert Sam Ransbotham identifies four key changes that businesses need to consider now.

Revisiting Complexity in the Digital Age

As businesses grow and diversify, they almost inevitably make their range of offerings more complex. Until now, managing that complexity usually involved a trade-off between creating value from complexity and benefiting from the efficiencies of simplicity. But smart use of today’s digital technologies can help companies finesse those trade-offs between costs and benefits. Digitization can help companies, for instance, increase product variety and integration while maintaining process simplicity.

Capitalizing on Data by Building Organizational Capabilities

The idea is simple: develop a methodology that ties patient outcomes to provider fees so that clinicians are rewarded when patients’ health improves. Making it happen is a lot more complicated. When WellPoint undertook this task, it discovered that there was more to it than simply the challenge of applying data analytics technology — the company’s innovation processes had to be reinvented.

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