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 a webinar on all things data ownership, an article on managing data privacy risks in advanced analytics, and a piece on tackling "process debt" in regards to AI implemenation. Follow us on Twitter and LinkedIn to receive daily updates on IIA content and curated content as it becomes available.
Featured Articles on Data and Culture
Who Owns Me: Data Monetization, Data Privacy, and Data Ownership - Webinar (Information Week)
News of major data breaches stirs up conversations about ownership and control of data. This is not a new matter, but the frequency of data breaches at a massive scale has forced new considerations to be weighed by enterprises and the public. Data can be lucrative for those who gather it -- but unfortunately it can also be a financial windfall for bad actors that get their hands on it. Data is even more in demand to feed the rapid proliferation of AI models.
Managing Data Privacy Risks in Advanced Analytics (MIT Sloan Review)
Cybersecurity techniques that keep personal data safe can limit its use for analytics — but data scientists, data owners, and IT can partner more closely to find middle ground.
The Difference Between Governance and Compliance (Information Week)
Digital Sources LLC’s Executive Director Dr. Pape Cisse emphasizes the importance of governance and compliance in navigating data security and privacy, and previews his upcoming keynote presentation “The CIO’s Guide for Enhancing GRC in 2024”.
Featured Articles on Analytics and AI Strategy
The High Cost of Misaligned Business and Analytics Goals (Harvard Business Review)
How and where do companies’ investments in new and improved data and analytic capabilities contribute to tangible business benefits like profitability and growth? Should they invest in talent? Technology? Culture? According to new research, the degree of alignment between business goals and analytics capabilities is among the most important factors. While companies that are early in their analytics journey will see value creation even with significant internal misalignment, at higher levels of data maturity aligned companies find that analytics capabilities create significantly more value across growth, financial, and customer KPIs.
AI Success Depends on Tackling “Process Debt” (Harvard Business Review)
Typically, organizations in the midst of transformation efforts spend significant time and resources trying to correct massive amounts of “technical debt” — the price of years of short-term decisions and prioritizations that result in an overly complex technological infrastructure. But equally challenging is managing organizations’ often undiscussed “process debt” — the build-up of often antiquated, functionally isolated, and customer-disconnected ways of doing work. Without tackling process debt, companies won’t be able to realize the massive potential of technologies like AI. Remapping and reprioritizing how your organization does work can lead to startling results and focus your organization on the activities it’s better equipped to deliver.
5 Questions to Ask to See if You’re Ready for AI (Open Data Science)
AI has become a buzzword in nearly every industry, from healthcare to finance to retail with dozens of new case studies floating around displaying the potential of the technology. While this all looks great, the potentially tricky thing is that integrating AI into operations isn’t exactly like ordering something from Amazon. Though we know that AI can offer significant advantages to just about any business, it is essential to consider several factors to ensure a successful AI implementation.