Company Background
Objectives
Resolutions
Destiny Corporation assessed the existing infrastructure and identified areas of inefficiencies. A new MPP (Massively Parallel Processing) environment was put into place and the CCARs logic was transferred onto this solution. The strategic utilization of intelligent parallel processing decreased the client’s analytics processing time from 44 hours to 15 seconds.
Benefits
The organization can now perform their analytics processing in under a minute, allowing more time for data analysis and less time spent on running reports.
Company Background
Objectives
Resolutions
Destiny Corporation evaluated the existing configuration and, in conjunction with the client, designed an architecture with a new MPP environment that was better designed to process data. This allowed processing jobs to drop from 15 hours to 15 minutes.
Benefits
This new MPP solution lets the organization spend less time processing data and more time on actual analysis.
Company Background
Objectives
Resolutions
We evaluated their infrastructure and quickly zeroed in on areas of concern. An upgraded server environment was put into place and the CCARS logic was transferred onto this platform. Analytics processing was reduced from 40 hours to 12 hours with the upgraded server environment.
Benefits
The organization is now able to perform their analytics processing in a fraction of the time, allowing more data analysis and less processing reports.
Company Background
Objectives
Resolutions
Destiny Corporation evaluated the analytics environment that supported SLA reporting. We designed a new architecture and upgraded their server and storage solutions. This new infrastructure brought processing times down from 90 hours to 2 hours.
Benefits
The organization can now report all federally required information within the time constraints given by the government and there are no longer issues with penalties and fines.
Company Background
Objectives
Resolutions
We worked with key personnel involved in this venture to further analyze their situation and needs. Ad hoc reports, data sources, users and methodology were evaluated. Based on our findings, we developed a highly automated reporting and graphing package, designed to provide them with accurate information in a consistent and timely manner. This software solution was built using application development tools in a Windows based environment.
Benefits
The organization now has standard reporting and graphing applications in place. Their administrative staff can access information on a monthly or as-needed basis, and the organization’s financial information is readily available through an automated process. This system enables upper management to make strategic decisions based on the most up-to-date information.
$250B U.S. BANK
SITUATION
- 100 SAS users
- SAS Infrastructure costs over three years were
$27M, now down to $2.5M per year
HOW DESTINY CORPORATION HELPED
- Interviewed departments, ran analysis,
and found ways to optimize their current
environment - Gave IT knowledge about SAS infrastructure
utilization - Helped customer restructure and optimize
their costs
BUSINESS OUTCOME
- Over 360% reduction in SAS Infrastructure
costs, while better supporting the organization’s
SAS user community

U.K. BANK WITH OVER £210B IN ASSETS
SITUATION
- SAS was mission critical to the bank and ran
on Windows servers - 800 SAS users
- Servers were crashing
- Did not have standardized processes
- SAS jobs ran for hours and days
- IT cannot do backups when jobs are running
HOW DESTINY HELPED
- Designed proper infrastructure to fully
support SAS processing needs - Wrote custom scripts to read all SAS
storage locations - Found 22 million lines of SAS code with
many logic and data issues - Destiny Corporation designed and educated the client on the proper batch use of SAS/Grid
- Destiny Corporation showed every touch point – SAS logic, SAS datasets, and non-SAS
- Created standards for SAS users and
developed education process - 14 month project
BUSINESS OUTCOME
- 500% faster running SAS jobs
- Five SAS Windows servers were reduced to a
single server instance on IBM Power - SAS jobs never crashed after their migration
- SAS jobs went from hours or ‘all weekend’ to minutes
