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Resources

Explore insights from IIA and select content from our research library below. Our content is always independent and driven by our clients’ everyday problems, challenges and initiatives.

2023 AI Legislation and Ethics Best Practices

From Europe’s GDPR to California’s CCPA, governments have cracked down on privacy in a big way – and this regulation will only escalate as AI becomes more entrenched across industries. Recently proposed and passed laws…

Business Intelligence Maturity Framework

Several years ago, while focusing on the cohort of clients whose scores on IIA’s industry-standard Analytics Maturity Assessment (AMA) were below the assessment’s midpoint of 3.0, and specifically on those companies whose scores did not improve significantly, year-over-year, we discovered a series of blockers that…

Data & Analytics Leadership: Delivering Value Quickly

According to NewVantage Partners 2023 survey on data and analytics leadership, there still exists a lack of clear expectations for the CDAO role or equivalent as organizations “struggle to deliver business value from their data…

2023 Analytics Predictions and Priorities

Data and analytics continue to be integral to the success of today's businesses. As we look ahead to 2023, it's important to consider what your data and analytics teams should prioritize. This research brief authored by experts Tom Davenport, Bill Franks, and Brian Sampsel outlines…

Revisiting Common Obstacles to Analytics Success in 2022 - eBook

What are the common hurdles encountered when putting analytics to work in a business, both in developing analytical models and applications and in building enterprise analytical capability? This question is central to IIA’s mission of helping organizations navigate the many challenges to achieving analytics maturity,…

2023 Analytics Predictions and Priorities

As organizations faced yet another year of whiplash – from post-pandemic planning to an unpredictable global economy – data and analytics leaders and their teams must consider what lies ahead for the benefit of their…

Building a Modern Data Strategy

Building a sustainable data strategy requires cross-organizational alignment that is difficult to achieve. In this session, Kathy Koontz, former Director of IIA’s Analytics Leadership Consortium, will explore people and process considerations an organization should account…

A Values-Led Approach to AI Ethics in a Global Business

With the rapid advancement of digital technologies, it is impossible to design perfect rules, systems, or processes to manage AI ethics. They would be outdated the moment they were deployed. Instead, data and analytics leaders…

Mindful AI: A Human-Centered Framework for MLOps

The benefits of AI for enterprise optimization and innovation are widely accepted and yet a paradox exists between AI’s potential and adoption: Survey data shows that up to 90% of AI/ML initiatives fail adoption; 70%…


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