Click to learn more about author Ronald G. Ross. In this fourth and final post of a four-part series about crafting great business definitions, I will explain the difference between definitions and rules, and how each best serves its own particular purpose. Read Part 1, Part 2, and Part 3 here. Definitional Rules Definitions are fundamentally […]
Crafting Great Business Definitions: Shaping Precise Definitions
Click to learn more about author Ronald G. Ross. In this third post of a four-part series about crafting great business definitions, I will explore how to make definitions precise. Surprisingly, the very first word in the definition is key to keeping it on target. Beyond that, I will explain how to express fine distinctions between […]
Revolutionizing Your Data Catalog with Automated Metadata and Lineage
Click to learn more about author Emily Washington. In recent years, enterprise data across multiple industries has led to groundbreaking innovation: In the utility industry, energy companies build consumer portals for sharing energy-saving information, supporting the customer by cutting energy costs and protecting the environment. Financial institutions build modern applications and analyze client financial records […]
Crafting Great Business Definitions: Common Pitfalls
Click to learn more about author Ronald G. Ross. In this second post of a four-part series about crafting great business definitions, I will identify common pitfalls in creating definitions. I will explain how to detect when a definition is data-ish, how to avoid circular definitions, and what the difference is between a definition and a […]
Crafting Great Business Definitions: Getting at the Essence of Things
Click to learn more about author Ronald G. Ross. In this first post of a four-part series about crafting great business definitions, I explain what a definition should and should not cover. The key is getting to the essence of the concept you want to define How important can it be to define concepts well? Consider […]
The Four Data Management Mistakes Derailing Your BI Program
Click to learn more about author Emma Williams If there’s one thing I’ve learned as a BI consultant, it’s that Data Management problems, like speeding tickets and jury duty, are terribly common but somehow still feel unlikely to happen to you. I can’t tell you how many times I’ve seen BI implementations drag on for […]
Building Data Definition Consensus
Data definitions are about a business creating a common vocabulary in a common language. They’re about how the organization thinks about itself. Take product data: The business needs to know what products it sells, how they can be categorized, what needs to be understood about that, who has financial responsibility for them, and why it […]
Five Essentials to Multi-Data Lake Management: Finalizing the Vision
Click to learn more about author John Felahi. In this second blog of a two-part series on Multi-Data Lake Management, we continue to best answer the question of: “How can I make everything work together today?” In Part One on this subject, “Five Essentials to Multi-Data Lake Management: Synchronizing Everything Together” we discussed coordinating all […]
Five Essentials to Multi-Data Lake Management: Synchronizing Everything Together
Click to learn more about author John Felahi. Data is the New OS “From a technology perspective, every employee should have access to the data that matters most to their jobs and should be empowered to share it with others across a business.” Multi-Data Lake Management is at the top of many minds at numerous […]