Data & Analytics Research & Tools

CIOs at MSEs can use these examples of business-value-generating use cases on this poster as inspiration for D&A innovation within their organizations.

With the rise of digital transformation and the need for businesses to create a digital workforce, data literacy skills are seen as a key enabler to driving business outcomes.

Not all artificial intelligence and machine learning strategies are created equal, but they are becoming critical for differentiation and sometimes survival. This research aims at guiding data and analytics leaders in identifying which category will deliver maximum impact for their organization.

Gartner’s annual predictions disclose the varied importance of data and analytics across an ever-widening range of business and IT initiatives. Consider these strategic planning assumptions to enhance your vision and plans.

As a data and analytics leader, one of the most important things to articulate in your strategy is the value proposition. Learn how to create a modern, actionable D&A strategy that creates common ground amount stakeholders.

To become a data-driven enterprise, Chief data and analytics officers must address both data literacy (“skills”) and data-driven culture (“will”) among the workforce.

CDAOs who effectively employ change management and communication techniques wield more influence and impact with their data and analytics strategies than those who do not. This research helps them master these skills.

Define core AI and ML roles, skills and responsibilities to help align the right skills to the required roles for advanced analytics initiatives.

CDAOs need to support the opportunities and challenges of today’s digital business with the right competencies. Now is the time to create D&A roles and skills that are fit for the future.

Data and analytics are the key accelerants of digitalization, transformation and “ContinuousNext” efforts. As a result, data and analytics leaders will be counted upon to affect corporate strategy and value, change management, business ethics, and execution performance.

Gartner research offers approaches that data and analytics leaders can use to manage business leaders’ expectations of AI, and set realistic goals. Download Now!

Download research and learn the 2 steps that data and analytics leaders should take to determine the role of data and analytics teams in improving decisions.