Data & Analytics

New in Data & Analytics

GEN-Brahm-Analytics-Talent-2400

Solving the Advanced Analytics Talent Problem

To solve the issue of advanced analytics talent concentration, companies need to think creatively.

GEN-Duarte-Charts-2400

Choose Charts Everyone Understands

A classic bar, line, or pie chart is often the best choice for communicating information.

GEN-Libert-Self-Driving-BL-2400

Self-Driving Companies Are Coming

Automation can go far beyond cars. Self-driving company capabilities are closer than we realize.

advertisement

The Surprising Value of Obvious Insights

Frontiers |

Findings don’t have to be earth-shattering to be useful. In fact, obvious insights can help you overcome three barriers to change in your organization: resistance to new data (“But that’s not what my experience has shown”), resistance to change itself (“But that’s the way we’ve always done it”), and organizational uniqueness bias (“That will never work here”). You can also gain trust by confirming what people already believe.

Data Privacy

advertisement

advertisement

Promoting Diversity with Analytics and AI

How Algorithms Can Diversify the Startup Pool

Biases related to gender and other demographic factors creep into decisions about which projects to fund with venture capital. Data-driven approaches can help tease out those biases and limit their impact. Algorithmic methods identify potential instances of discrimination and increase transparency, making it easier to find and fix problems. Aversion to algorithms can be tempered by letting decision makers retain some subjective control over the data-driven process.

Using Artificial Intelligence to Promote Diversity

Frontiers |

What if, instead of perpetuating harmful biases, AI helped us overcome them? What if our systems were taught to ignore data about race, gender, sexual orientation, and other characteristics that aren’t relevant to the decisions at hand? They can do all that — with guidance from the human experts who create, train, and refine them.

advertisement

advertisement

Counterpoints: The Sports Analytics Podcast

Get ready to keep track of more than just the score.

Counterpoints is a show for sports professionals, data junkies, and fans alike. Each episode engages premier sports analytics experts in a lively, sometimes controversial conversation about what drives performance both on and off the field. Counterpoints is cohosted by Ben Shields and Paul Michelman.

You can listen to Counterpoints in many places: right here on our site, on Apple Podcasts, Google Podcasts, Spotify, and Stitcher. Subscribe to our podcast on any of these platforms to get the latest episode every other Thursday.

Transcripts are available on our site under each episode page.

Front Office, Disrupted

Innovations from the front office are keeping fans engaged and disrupting the staid order in sports.

Information Overload?

As sports become ever more analytical, can there be such a thing as too much data?

advertisement

Case Studies: Innovation Through Analytics

McKinsey-IBM-2400

Rebooting Work for a Digital Era

IBM has reimagined its talent and performance management systems as part of its digital transformation.

DA-Case-Rollup-Report-Lessons-Data-Driven-Organization-1200

Lessons from Becoming a Data-Driven Organization

Case studies from a range of businesses highlight how analytics requires organizations to evolve.

EY-2016-GE-Case-1200

GE’s Big Bet on Data and Analytics

An MIT SMR case study looks at GE’s challenges in becoming a leader of the Industrial Internet.

Amsterdam-Header-digital-city-data-future-1200

Data-Driven City Management

Amsterdam’s Smart City Initiative offers insights into its challenges for city managers.

On-Demand Webinars and Videos

Big Idea: Competing With Data and Analytics

The Competing With Data and Analytics initiative has investigated how technology enables competitiveness, answering the key question: How are organizations leveraging data and analytics to increase operational efficiency, engage key stakeholders, and report on business successes?


For more, consider: