
Executive Guide Building a Winning Data Strategy - MIT Sloan …
Sep 21, 2020 · Creating a strong data foundation within the organization and putting a premium on nontechnical factors such as analytical agility and culture can help companies stay ahead. …
Building a Winning Data Strategy: An MIT SMR Executive Guide
Sep 21, 2020 · To be successful with data and analytics, organizations must evolve and change the ways in which they structure current business processes. The ones that recognize that …
Five AI and Data Science Trends That Matter for 2025
Feb 13, 2025 · The ongoing challenges of building a data-driven culture. The renewed importance of managing unstructured data. The still-evolving roles and reporting structures for data and AI …
Analytics Strategy - MIT Sloan Management Review
Machine Learning and Data Analytics in the Pandemic Era In this webinar, Jeffrey D. Camm and Thomas H. Davenport explain how the COVID-19 pandemic has impacted the practice of data …
Beyond the Hype: The Hard Work Behind Analytics Success
Mar 8, 2016 · The 2016 Data & Analytics Report by MIT Sloan Management Review and SAS finds that analytics is now a mainstream idea, but not a mainstream practice. Few companies …
Five Trends in AI and Data Science for 2025 - MIT Sloan …
Jan 8, 2025 · Randy has just completed his annual survey of data, analytics, and AI executives, the 2025 AI & Data Leadership Executive Benchmark Survey, conducted by his educational …
How Organizations Can Build Analytics Agility - MIT Sloan …
Oct 13, 2020 · Lori C. Bieda is an analytics, technology, and marketing thought leader with more than 20 years of experience driving profitable business growth through the strategic use of …
Why a Data and Analytics Strategy Today Gives Marketers an …
Oct 11, 2017 · Optimizing the Data Opportunity. Marketers of all stripes are well aware of the vast opportunity. Indeed, nearly 90 percent of senior business-to-consumer (B2C) marketing …
Five Key Trends in AI and Data Science for 2024 - MIT Sloan …
Jan 9, 2024 · But organizations view data products in two different ways. Just under half (48%) of respondents said that they include analytics and AI capabilities in the concept of data …
GE and the Culture of Analytics - MIT Sloan Management Review
One is what I would call “big machine data” or “big data” — applications, for example, trying to identify from a series of data points if there’s a technical issue with a customer asset. For …