Analytics & Business Intelligence
Building a Winning Data Strategy: An MIT SMR Executive Guide
Companies today are swimming in data — but how do we build a data strategy that creates value?
Building a winning data strategy requires bold moves and new ideas. 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. This MIT SMR Executive Guide, published as a series over three weeks, offers insights on how companies can move forward with data in an era of constant change.
Companies today are swimming in data — but how do we build a data strategy that creates value?
In an era of constant change, data and analytics teams must change rapidly to enable businesses to survive, never mind compete.
Three strategies lead to technology transformations that create value and enable ongoing innovation.
Executed well, good data governance can fuel digital innovation without compromising security.
Companies can use an array of tactics to make sure that their data products inspire action — and create value.
Companies need to evolve and shift thinking around what it means to have a data-driven culture.
To drive major change, companies must link data quality and data science within the organization.
A Q&A with AWS’s Rahul Pathak on the advantages of transitioning your company to a data-driven enterprise.