You want to implement data democratization, so you deployed all the new tooling and data infrastructure. You have a data catalog to manage metadata and ensure data lineage and a data marketplace to enable data discovery and self-service analytics. You’ve invested in the latest technologies to enable full self-service operation. The data management architecture you […]
What Does It Mean to Be Data-Driven?
Businesses succeed or fail based on their ability to make sound decisions. Every aspect of an organization’s operation, from the simplest to the most complex, is the result of a series of decisions, each building on the next, from the chairs in the employee lunch room to the million-dollar marketing campaign that will make or […]
Informatica Unveils New Product Innovations to Democratize Generative AI
According to a new press release, Informatica has introduced new product innovations that integrate generative AI (GenAI) into its cloud data management platform, aiming to democratize access to instantaneous AI-powered data insights across enterprises. These innovations embed GenAI capabilities into every aspect of data management through CLAIRE GPT, enabling users to develop and deploy AI […]
Why Is a Data-Driven Culture Important?
Many modern organizations are recognizing how important it is to develop a data-driven culture. A data-driven culture typically describes a workplace environment and involves making information readily available to staff. The general idea in promoting a data-driven workplace culture is to increase profits by developing a business that functions in a streamlined, efficient, and friendly […]
Why It’s Time to Rethink Generative AI in the Enterprise
If you’ve been keeping an eye on the evolution of generative AI (GenAI) technology recently, you’re likely familiar with its core concepts: how GenAI models function, the art of crafting prompts, and the types of data GenAI models rely on. While these fundamental components within GenAI remain constant, the way they’re applied is transforming. The […]
5 Key Strategies for Making Data Visualization Accessible
“If I can’t picture it, I can’t understand it.” —Albert Einstein Research has found that 65% of the general population are visual learners, meaning they need to see information as images to understand it. The business world confirms this: Visualization is essential in driving success. Take, for instance, data visualization, or, the art of translating data into […]
How to Achieve Self-Service Data Transformation for AI and Analytics
Data transformation is the critical step that bridges the gap between raw data and actionable insights. It lays the foundation for strong decision-making and innovation, and helps organizations gain a competitive edge. Traditionally, data transformation was relegated to specialized engineering teams employing complex extract, transform, and load (ETL) processes using highly complex tooling and code. […]
What Is Data Mesh and Why Is It Important?
A data mesh challenges the traditional centralized Data Architecture by advocating a distributed and domain-oriented architecture. Data mesh promotes the idea of treating “data as a product,” where each domain or business unit becomes responsible for its own data products. By doing so, individual domains gain autonomy over their data needs and can make faster […]
Data Mesh Implementation Best Practices
At its core, data mesh challenges the traditional centralized model of Data Management, where a single team or department is responsible for managing all aspects of data…
Data Literacy Trends in 2024
Data literacy has become a critical skill in today’s technology-driven world. As we begin 2024, the importance of data literacy trends cannot be overstated. Organizations are recognizing that data is no longer just a byproduct of their operations but a valuable asset that can drive informed decision-making. Data novices are individuals who lack the skills […]