Analytics & Business Intelligence
Better Decision Making with Objective Data is Impossible
As businesses become increasingly data-focused, it’s important to recognize that data is only as good as the analysis it’s put through.
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.
As businesses become increasingly data-focused, it’s important to recognize that data is only as good as the analysis it’s put through.
Huge, complex datasets are becoming universal. The skills needed to work with them? Not so much.
Chicago nonprofit Christopher House uses data to drive outcomes in providing education services to low-income families.
Airline Cathay Pacific incorporates data into all its operations to make decision making more efficient. But experience counts, too.
An authors’ briefing and Q&A on the findings from the MIT SMR/SAS 2015 global study on data and analytics.
A panel of experts discusses how to attract and manage analytics talent for best results.
Companies adding analytics professionals must navigate cultural tradition and turf tensions.
We answer three questions about the findings in our recent Big Idea Initiative research report, “The Talent Dividend.”
Coca-Cola uses forward-looking analytics to understand its customer base and international distribution network.
The 2015 Data & Analytics Report by MIT Sloan Management Review and SAS finds that talent management is critical to realizing analytics benefits.
What do you do when you’ve got an unending stream of quality data, and processes in place for analytics… but you’re not sure what to do with it all?
Increased access to data can be turned into better decision making by focusing on both the production and consumption of analytics.
Analytics acts as an amplifier for business processes — but companies should keep four principles in mind to avoid increasing “noise.”
The Echo Nest, a “music intelligence” company, uses machine-learning technology to connect people with new music.
What differentiates data scientists from other quantitative analysts? It’s partly their skill set and partly their mind set.
By 2020, most new data will be generated not by people but by sensors and embedded, intelligent devices.
Data analysts may have external agendas that shape how they address a data set — but a savvy manager can identify biases.
When it comes to big data, GE avoids warehousing and instead turns to the data lake approach.
As business moves to a real-time, data-driven focus, the search for talent has undergone a quantum shift.
Can we automate enough of what data scientists do to ease the skills gap?