Blog

Monetizing data internally and externally is crucial to increasing its value and ROI. However, delivering its full value can be difficult. New recommendations from McKinsey explain how deploying generative AI helps transform monetization and data consumption, creating significant value.

Organizations face an unprecedented explosion in data volumes. However, this information is scattered across the business, in multiple formats, making it difficult to organize, analyze and share. How can organizations gain control over their data and use it effectively?

How can generative AI help Chief Data Officers and other data leaders to better manage their operations? Based on Gartner research, our blog outlines the key benefits AI can provide within the data management stack

Growing data volumes, increasing complexity and pressure on budgets - just some of the trends that CDOs need to understand and act on. Based on Gartner research, we analyze CDO challenges and trends and explain how they can deliver greater business value from their initiatives.

The DAMA-Data Management Body of Knowledge (DAMA-DMBOK) outlines the principles, framework and vocabulary needed to successfully manage data and use it to support business objectives. Our blog explains what it is and how it helps CDOs when creating and implementing their strategy.

To give customers choice when it comes to AI, the Huwise data portal solution now includes Mistral AI's generative AI, alongside its existing deployment of OpenAI's model. As we explain in this blog, this multi-model approach delivers significant advantages for clients, their users, our R&D teams and future innovation.

The recent GITEX event in Dubai provided the perfect opportunity to understand how data sharing is changing across the Middle East. Based on our discussions, this blog highlights 5 key themes driving data use in the region.

Chief Data Officers are central to organizations becoming data-centric, maximizing data sharing to ensure that everyone has immediate access to the information they need. We explore the challenges they face - and how they can be overcome with the right strategy and technology.

Data enrichment is essential to turning your raw data into valuable information that can be easily understood and used internally and externally. Our blog explains how to successfully implement data enrichment in your organization in order to improve quality, consistency, and standardization to maximize value.

Access to accurate statistical information is key to the successful functioning of the global economy and for policymakers and businesses to make informed decisions around subjects that impact us all. How can institutions effectively and efficiently share their statistical data in an interoperable, scalable way to democratize access and build trust?

How do organizations tap into the revenue benefits of creating external data products and services at scale? Based on a new report from consultants McKinsey, we explore the foundations required to industrialize the delivery of successful external data products.

Organizational silos prevent data sharing and collaboration, increasing risk and reducing efficiency and innovation. How can companies remove them and ensure that data flows seamlessly around the organization so that it can be used by every employee?