Page 216 - Data Architecture

Chapter 6.1: Introduction to Data Vault 2.0

What Are the Business Benefits of Data Vault 2.0?

There are hundreds of benefits, far too many to list—all of which are drawn from the

existing best practices of CMMI, Six Sigma, TQM, PMP, Agile/Scrum, automation, and
so on. However, the reason for Data Vault 2.0 system of business intelligence can be
nicely summed up in one word: maturity.

Maturity of the business intelligence and data warehousing systems require the following
key elements:

• Repeatable patterns
• Redundant architecture/fault-tolerant systems
• High scalability
• Extreme flexibility
• Managed consistent costs for absorbing changes
• Measurable key process areas (KPAs)
• Gap analysis (for the business of building data warehouses)
• Incorporation of big data and unstructured data

From a business perspective, Data Vault 2.0 addresses the needs of big data, unstructured
data, multistructured data, NoSQL, and managed self-service BI. Data Vault 2.0 really is
targeted at the evolution of the enterprise data warehousing (EDW) and business

intelligence (BI). Data Vault 2.0’s goal is to mature the processes of building BI systems
for the enterprise in a repeatable, consistent, and scalable fashion while providing
seamless integration with new technologies (i.e., NoSQL environments).

The resulting business benefits include (but are not limited to) the following:

• Lowering total cost ownership (TCO) for EDW/BI programs
• Increasing agility of the entire team (including delivery)
• Increasing transparency across the program

The resulting business benefits can be found in the following categories:

Data Vault 2.0 agile methodology benefits:
Data Vault 2.0 model benefits:
• Drives agile deliveries (2/3
weeks) • Follows scale-free architecture

• Includes CMMI, Six Sigma, and • Based on hub and spoke design
TQM

216