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The Need for an Analytics and AI Strategy
Analytics and AI are booming in organizations, but many companies are not yet getting strategic value from their projects and investments. Many projects are not deployed into production. Analytics and AI initiatives may not be targeted at important business problems or opportunities. Businesses may lack critical resources needed to achieve
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Constructing an Analytics Capability Roadmap
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Four Tips for Communicating Effectively with Data
Communication used to be taught as a one-way information transmission: you crafted your message, delivered it to the recipients, and assumed they interpreted it as intended. I suspect many readers have been part of endless email threads or Slack discussions that beg to differ on that interpretation part, and rightfully
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June: Best of the Web
Read below for a roundup of interesting sites, resources, and articles from around the web, curated and contextualized by unbiased analytics experts at IIA. Highlights include articles about 20 questions to ask to self-analyze your data analytics strategy, how to unlock a better ROI on your AI investments, and a
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Empowering Equity and Inclusion in Analytics Leadership
It’s one thing to promote an inclusive culture. But how do you actually live it? The tech field, in particular, has rightly been challenged to create more equilibrium between men and women at the level of leadership. And while research suggests the data and analytics space is the most diverse
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Successfully Upskilling an Organization
The need to upskill the data and analytics capabilities of both your analytics community and the broader business and operational communities is widely recognized. It is also difficult to determine exactly who should learn what and how to best teach them. I had the pleasure of moderating a webinar recently
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Components of an Analytics Strategy
In a previous post, I described the importance of developing an analytics and AI strategy, and some aspects of the process by which a strategy can be developed. In this post, the focus is on the specific components of the strategy—on the topics and issues it should address. Of course,
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Build the Analytics Team of the Future
Many analytics leaders will agree that talent is the most valuable asset in their organization— and the most challenging. But how much time do analytics leaders really spend designing the team they will need five years from now? For many, it is difficult to carve out the time and to
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Driving Business Value with an Explicit Analytics and AI Strategy
Analytics and AI are booming in organizations, but many companies are not yet realizing strategic value from their projects and investments. One key reason for this lack of strategic value is the absence of an analytics and AI strategy in many firms. In fact, according to a recent survey of
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July: Best of the Web
Read below for a roundup of interesting sites, resources, and articles from around the web, curated and contextualized by unbiased analytics experts at IIA. Highlights include articles about how to get your machine learning models out of the production stage, advanced data visualization techniques, insights from Drew Smith on how