Data-driven Management Metrics 
Jen Stirrup
AUGUST 2, 2025
Companies that focus on developing data fluency achieve significantly better results with analytics, digital transformation, and AI adoption. It represents the difference between organizations that can leverage AI as a transformative force and those that merely mess around with their data without realizing its full potential.
CIO Business Intelligence
APRIL 8, 2025
Yet failing to successfully address risk with an effective risk management program is courting disaster. Risk management is among the most misunderstood yet valuable aspects of leadership, Saibene observes. Organizations must deploy mechanisms to protect IP and to prevent sensitive data from being fed into public AI engines, he states.
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DataKitchen
NOVEMBER 27, 2024
A Guide to the Six Types of Data Quality Dashboards Poor-quality data can derail operations, misguide strategies, and erode the trust of both customers and stakeholders. Data quality dashboards have emerged as indispensable tools, offering a clear window into the health of their data and enabling targeted actionable improvements.
KDnuggets
JUNE 23, 2025
It helps you track, manage, and deploy models. It manages the entire machine learning lifecycle. It supports data scientists and engineers working together. MLflow also manages models after deployment. Managing ML projects without MLFlow is challenging. It logs parameters, metrics, and files created during tests.
Speaker: Margaret-Ann Seger, Head of Product, Statsig
So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? Attendance of this webinar will earn one PDH toward your NPDP certification for the Product Development and Management Association.
CIO Business Intelligence
NOVEMBER 7, 2024
However, the metrics used to evaluate CIOs are hindering progress. According to recent data from IDC’s CIO Sentiment Survey (Figure 1), only 38% of organizations have reached a high level of maturity in their digital transformation efforts (with only about 13% claiming full transformation).
DataFloq
JULY 28, 2025
Introduction The rise of enterprise data lakes in the 2010s promised consolidated storage for any data at scale. However, while flexible and scalable, they often resulted in so-called “data swamps”- repositories of inaccessible, unmanaged, or low-quality data with fragmented ownership.
Advertiser: ZoomInfo
Multiple industry studies confirm that regardless of industry, revenue, or company size, poor data quality is an epidemic for marketing teams. As frustrating as contact and account data management is, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information.
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