Does your Data Lake data architecture
​enable the capabilities you need to support your business and technical users?

Sample Business Capabilities

• Analytics
• Data Hub for Applications
• Data Science
• Data Comprehension & Discovery
• Self-service
• Notifications
• Collaboration

Qualities required:

• High quality data
• Integrateable data
• Timely data
• Metadata & Data lineage availability
• Data Catalog

Sample Technical Capabilities
For Scalability:

• Data Model (as appropriate per curation state)
• Standardized/Templatized data curation
• Easy/automated consumer onboarding
• Automated data cataloging

For Quality:

• Data quality deployment(as appropriate per curation state)
• Data quality notifications to consumers
• Automated/streamlined data quality resolution

For Maintainability:

• ​Metadata & Data lineage availability
• Planned Error processing and re-processing
• Change impact analysis
• Downstream fix facilitation

Although the above capabilities and qualities require many practices (management, development, administration) to be successfully implemented, for Data Solutions, the right Data Architecture is central to enabling their successful implementation.

​Whether you're building a Data Warehouse or Data Marts
​ as a stand alone analytical solution or as a component of a Data Lake solution, your Data Architecture needs to allow your solution to grow vertically as volumes and data retention requirements grow, as well as horizontally as your business grows and expands. This must be done while controlling costs, keeping the system maintainable, and serving data consumers with high quality data on a timely basis. Data Architecture is at the heart of all of this.

Whether your solution is on the Cloud, on-Premises, Multi-Cloud, or any combination of the above, Data Architecture is a key enabler of success and cost management.

4te was formed in 2006 as a consulting firm specializing in the design and development of Data Solutions. Our roots go back to the formation of The Data Warehouse Consulting Group in 1998, which was a pioneer in Data Warehouse related consulting and development with a focus on Data Architecture. Data Architecture is our "forte" with 25 years experience helping companies with design and development of data solutions, data strategy and roadmaps, and applying best practices of data management successfully. We have served both fortune 500 and middle sized businesses on the following industries and more:​

• Financial Services
  • ​Mutual Funds
  • Brokerage/Financial Advisory
  • Mortgage Banking
  • Tax Services
• Healthcare
  • Health Insurance (Provider)
  • Pharmacy Benefit Manager (PBM)
  • Home Health Care

• Property & Casualty Insurance
• Manufacturing
• Real Estate
• Life Sciences
• Human Resources
• Life Insurance & Annuities
• Utilities
• Shipping & Transportation
• Auto Loans

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