Challenge: Closing Operational Gaps Results: Cendant Timeshare Resource Group implemented Operational Data Vault, eliminating all other sources and rewriting their application. Increased their profitability by 2.5x in 24 months. (Circa 2003) Managed 100,000 properties world wide. Cendant had 5 disparate operational systems, and 2 disparate legacy data warehouses. They wanted to consolidate all of them,…
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Data scientists are both consumers of data (raw and curated) and producers of refined data and information outcomes (decision support, discovery, and exploration outcomes). If not utilized properly, data scientists are the most expensive data engineering resource you will ever hire! Learn how the Data Vault 2.0 System of Business Intelligence naturally aligns and employs…
Challenge: Single Person, Maximum Effectiveness Results: One person, < 3 months merged 2 systems, built a full EDW Gap Analysis Provided to Business Business Vault Generated via Automation Solution Business Vault and Information Layer Tailored to Business Needs Generated: 90% of the ETL code 100% of the Load and Staging Model What Did FinWise Achieve?…
Challenge: Data Science in Real Time Results: NetQuote implemented an Operational Data Vault behind their web-sales app, tripled their business profitability in 18 months (Circa 2006) Customer Conversion time dropped from 15 minutes to 5 minutes Business Sold in 2 years NetQuote was an on-line insurance broker, matching insurance policies with prospective buyers. Their challenge…
In Part 1 of this two-part series, Dan and Cindi discuss the importance of understanding where your team is today in terms of metrics and measures, and using those as the established baseline against which future performance can be compared and understood. What are the business components necessary to build a solid Data Vault development team?…