How are organizations leveraging data and analytics to increase operational efficiency, engage key stakeholders, and report on business successes? From 2010-2018, the Data and Analytics initiative investigated how technology enables competitiveness.
MIT SMR’s research employs global qualitative and quantitative methods to investigate how data is influencing business processes, offerings, and engagement with customers. It looks at trends in the use of analytics, the evolution of analytics strategy, optimal team composition, and new opportunities for data-driven innovation.
Join the co-authors of “Using Analytics to Improve Customer Engagement” and special guest Teddy Bekele as they show how analytical innovators are gathering and sharing data to build loyalty and keep customers.
MIT SMR’s 2018 Data & Analytics Report finds a link between customer engagement and data analytics.
MIT SMR hosts a Twitter chat on analytics and customer service on March 1, 2018, at 11 a.m. EST #MITSMRChat.
Data audits may be helpful in maintaining balance between data-rich and data-poor companies.
Organizations that make use of data from a variety of sources excel at customer engagement, as explained in the 2018 Data & Analytics Report.
An infographic based on the 2018 Data & Analytics Report by MIT Sloan Management Review illustrates how companies can better engage with customers using analytics.
Given the growing importance of data to companies, how should managers measure its value?
Business leaders need to prioritize effective, two-way communication with their data scientists.
Integrating new technologies with legacy systems is both a problem and an opportunity.
Getting business value from data depends on developing effective analytics teams — leaders included.
Small errors in data linkages can sometimes prove damaging — but not if managers watch for them.
Though customer service is a key analytics focus, it offers potential for security improvements too.
For companies relying on algorithms in daily transactions, transparency is a difficult issue.
Managers already struggle to put data to intelligent use; AI may add to their difficulty.
The synergism of Big Data and artificial intelligence holds amazing promise for business.
Answering still more questions from our recent webinar, “Analytics as a Source of Business Innovation.”
In this webinar, MIT SMR authors Sam Ransbotham and David Kiron discussed why data governance is becoming more and more important to analytical innovators.
We answer more questions from our recent webinar, “Analytics as a Source of Business Innovation.”
The 2017 Data & Analytics Report by MIT Sloan Management Review finds that companies that embraced analytics have begun to find new ways to derive strategic benefit from analytics.
Providing up-front structure for data may reduce the need to process it — and limit distortions.
