Data & Analytics

Showing 1-20 of 259


Data Sharing, Advanced Analytics, and Success with IoT

In this webinar, the authors of MIT SMR‘s research report on the Internet of Things and a representative of one of the report’s primary examples, John Buccola, CIO of WASH Multifamily Laundry Systems, share experiences, findings, and insights from their exploration into how companies are deriving value from the Internet of Things.


Lessons from Becoming a Data-Driven Organization

Organizations across the business spectrum are awakening to the transformative power of data and analytics. They are also coming to grips with the daunting difficulty of the task that lies before them. It’s tough enough for many organizations to catalog and categorize the data at their disposal and devise the rules and processes for using it. It’s even tougher to translate that data into tangible value. But it’s not impossible, and many organizations, in both the private and public sectors, are learning how.


Customer Relationships Get the Data Treatment

A new case study by MIT Sloan Management Review, “A Data-Driven Approach to Customer Relationships,” details how the South African bank Nedbank is using its rich access to a trove of transactional data from credit card use — from the time of transactions and size of purchases to retailer locations, and even specific details like the age, gender, race, marital status, and income bracket of some users — to help merchants make strategic decisions to better serve those customers.



Free Webinar: Platform Strategy and the Internet of Things

  • Blog

IoT, a “worldwide platform of platforms,” offers power for companies who can capture its value. Watch as Professor Marshall Van Alstyne, author of Platform Revolution, offers insights on how platform strategy and IoT combine to produce value for all players in the ecosystem, using his research and real-life examples. Learn what what platform strategy is and how companies are using IoT to advance their platform strategies


Why It Pays to Be Where the IT Talent Already Is

As demand for big data technologies grows, so does the problem of finding sufficient skills. Result: Talent shortages could limit the rate of productivity growth. Research shows that labor-market factors have shaped early returns on investment in big data technologies such as Hadoop, a framework for distributed processing of large data sets. It turns out that when know-how is scarce, organizations that invest in new IT or R&D derive significant benefits from the related investments of other organizations.


Achieving Trust Through Data Ethics

Eight out of 10 executives surveyed say that as the business value of data grows, the risks their companies face from improper handling of data increase exponentially. While digital advancements enable new opportunities for businesses to compete and thrive, they also create increased exposure to systemic risks. Success in the digital age will require a new kind of ethical review around how companies gather and use data.



Designing and Developing Analytics-Based Data Products

The combination of new analytical capabilities and burgeoning data assets are being used to form value-added “data products.” Such products have powered rapid growth in the value and success of online companies, but the expansion of analytics means the standard model for developing these products needs to evolve. An updated model needs to reflect new “time to market” expectations and input from a variety of stakeholders.


Predicting a Future Where the Future Is Routinely Predicted

The ability of artificial intelligence to sift through mountains of data and identify patterns — and problems — in real time is its key value for business. Using AI to predict failures and take action to prevent them will become commonplace in the very near future. But it can also offer insights into human behavior to help managers improve customer service and employee relations.


Digital Today, Cognitive Tomorrow

Digital transformation is happening all around us, but it’s the foundation for a much more profound transformation still to come. With huge challenges facing humanity on many fronts — climate, disease, population, food and water — we need cognitive technologies to augment human problem-solving capabilities. And those technologies are almost here.



When Machine Intelligence Meets Main Street

We are past the point of debating whether human intuition can be replicated. Machine learning is already here. It will impact most companies over the next few decades and become part of everyday business life. Executives must quickly come to grip with how companies and industries will evolve.


How Future Workspaces Will Improve Productivity and Creativity

  • Research Highlight
  • Read Time: 6 min 

The physical world and the digital world are combining to become “a new hybrid space,” with a blurring of boundaries between areas that are private, public, and shared. Understanding how workforces connect within this new, flexible working environment, says MIT professor Carlo Ratti in a recent webinar, is crucial for designing next-generation offices.

Showing 1-20 of 259