Challenge: Minimized Re-Engineering and Full Auditability Results: “Data Vault 2.0 delivers full auditability by protecting the integrity and origin of the data.” “For us, the Data Vault 2.0 has provided significant benefits. We were able to change our data warehouse whilst minimizing the re-engineering costs. Now we have a system that is more closely aligned…
Challenge: Government Agencies Sharing Data Results: CBS (central bureau of statistics) and Belastingdienst (Dutch tax authority) Share Data Between the Agencies By Leveraging Data Vault 2.0 Data Models And leveraging DV2.0 Processes Learn more about Data Vault 2.0 and how we can help securely and impactfully bring data together to produce more business value for…
Challenge: Team Size Scalability / Elasticity… Scaling Team Sizes: (Circa 2009) Grew team to 60 people for two weeks Shrunk team to 20 critical staff for business delivery (6 weeks) Included Entry Level When Needed They had a need to increase the team size by leveraging local college students. These were interns to the IT…
Challenge: Scalability with No Re-Engineering Produced Data Vault, Scaled to 3 Petabytes (circa 2003) still growing today Sub-second query responses Zero re-engineering to add more data, and expand This project was done to serve the needs of the public. They captured real-time streams that focused on image processing and image recognition. The premise is: capture…
Challenge: Replace Legacy Solution Results: 5 Year Program, Finished in 4 years!(Circa 2011-2016) 1 year Early 1 year under-budget! “Balance within 1/10th of 1% Because of the Data Vault”, CFO This program was setup to be a 5 year program. One of the goals of this program was to replace a Legacy Logical Data…
Challenge: Achieving Agility in the Methodology Results: “DV2.0 brings the assurance that we can cope with an increased velocity in change, without falling behind in our ability to support time sensitive decision-making. The quality improvement and estimate accuracy resulting from the disciplined process are bonus factors in project delivery.” Dave Bowen, CITO QSuper (Circa 2012)…
Challenge: Unstructured Image Processing in Real Time Results: Ingesting 100,000 images per second across 10 parallel streams, creating business value by capturing Satellite Images of weather, hashing them for correlation analysis. (Circa 2001, still in use today) Turning unstructured data into information in real-time! Raytheon had a number of challenges. Their job was to ingest…
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,…
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…
Challenge:Massive Integrations… Results: 250+ source systems Integrated to 1 Data Vault EDW Servicing over 5000 business users daily with sub-second query response times Over two thousand unique reports Crossing 10 lines of business Tracking Rocket Builds from Start to Launch (circa 1997, still active today) Lockheed Martin began their journey with Data Vault in 1990. …
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Challenge: Minimized Re-Engineering and Full Auditability Results: “Data Vault 2.0 delivers full auditability by protecting the integrity and origin of the data.” “For us, the Data Vault 2.0 has provided significant benefits. We were able to change our data warehouse whilst minimizing the re-engineering costs. Now we have a system that is more closely aligned…
Challenge: Government Agencies Sharing Data Results: CBS (central bureau of statistics) and Belastingdienst (Dutch tax authority) Share Data Between the Agencies By Leveraging Data Vault 2.0 Data Models And leveraging DV2.0 Processes Learn more about Data Vault 2.0 and how we can help securely and impactfully bring data together to produce more business value for…
Challenge: Team Size Scalability / Elasticity… Scaling Team Sizes: (Circa 2009) Grew team to 60 people for two weeks Shrunk team to 20 critical staff for business delivery (6 weeks) Included Entry Level When Needed They had a need to increase the team size by leveraging local college students. These were interns to the IT…
Challenge: Scalability with No Re-Engineering Produced Data Vault, Scaled to 3 Petabytes (circa 2003) still growing today Sub-second query responses Zero re-engineering to add more data, and expand This project was done to serve the needs of the public. They captured real-time streams that focused on image processing and image recognition. The premise is: capture…
Challenge: Replace Legacy Solution Results: 5 Year Program, Finished in 4 years!(Circa 2011-2016) 1 year Early 1 year under-budget! “Balance within 1/10th of 1% Because of the Data Vault”, CFO This program was setup to be a 5 year program. One of the goals of this program was to replace a Legacy Logical Data…
Challenge: Achieving Agility in the Methodology Results: “DV2.0 brings the assurance that we can cope with an increased velocity in change, without falling behind in our ability to support time sensitive decision-making. The quality improvement and estimate accuracy resulting from the disciplined process are bonus factors in project delivery.” Dave Bowen, CITO QSuper (Circa 2012)…
Challenge: Unstructured Image Processing in Real Time Results: Ingesting 100,000 images per second across 10 parallel streams, creating business value by capturing Satellite Images of weather, hashing them for correlation analysis. (Circa 2001, still in use today) Turning unstructured data into information in real-time! Raytheon had a number of challenges. Their job was to ingest…
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,…
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…
Challenge:Massive Integrations… Results: 250+ source systems Integrated to 1 Data Vault EDW Servicing over 5000 business users daily with sub-second query response times Over two thousand unique reports Crossing 10 lines of business Tracking Rocket Builds from Start to Launch (circa 1997, still active today) Lockheed Martin began their journey with Data Vault in 1990. …