Remove Analytics Remove Business Objectives Remove Risk Management
article thumbnail

Cloud analytics migration: how to exceed expectations

CIO Business Intelligence

A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making.

article thumbnail

New regulation intensifies focus on IT risk management and operational resilience

CIO Business Intelligence

A comprehensive regulatory reach DORA addresses a broad range of ICT risks, including incident response, resilience testing, third-party risk management, and information sharing. When DORA becomes effective on January 17, 2025, non-compliance with DORA will trigger severe administrative and criminal penalties.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

10 AI strategy questions every CIO must answer

CIO Business Intelligence

And the Global AI Assessment (AIA) 2024 report from Kearney found that only 4% of the 1,000-plus executives it surveyed would qualify as leaders in AI and analytics. How does our AI strategy support our business objectives, and how do we measure its value? Am I engaging with the business to answer questions?

Strategy 141
article thumbnail

5 tips for better business value from gen AI

CIO Business Intelligence

Instead, CIOs must partner with CMOs and other business leaders to help quantify where gen AI can drive other strategic impacts especially those directly connected to the bottom line. Compounding these data segments results in smarter recommendations with lead scoring, sales forecasting, churn prediction, and better analytics.

Sales 143
article thumbnail

5 IT risks CIOs should be paranoid about

CIO Business Intelligence

One approach is to define and seek agreement of non-negotiables with the board and executive committee, outlining criteria of when upgrading legacy systems must be prioritized above other business objectives. Many want all the benefits from analytics and machine learning but are slow to adopt proactive data governance.

Risk 142
article thumbnail

CDOs: Your AI is smart, but your ESG is dumb. Here’s how to fix it

CIO Business Intelligence

The time has come for data leaders to move beyond traditional governance and analytics sustainability is the next frontier for CDOs, and the opportunity to lead is now. If sustainability-related data projects fail to demonstrate a clear financial impact, they risk being deprioritized in favor of more immediate business concerns.

IT 59
article thumbnail

Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. Improved risk management: Another great benefit from implementing a strategy for BI is risk management.