Secret: We don't look like any of these people.  But we love seeing happy clients!  Send us your pretty, pretty pictures of your shining happy faces and we'll post them here!

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We want your business!


In order to get it, we have to differentiate ourselves from our competitors – and we have!

We could bore you with endless nit-picky details about our brilliant technical and people skills – but you’d have to see them to believe them.

So instead, we’ll just stick to the benefits we offer:
- faster ramp-up times
- lower final costs
- fully relocate-able
- pre-built project teams
- single point of contact
- our solutions-logic
- our outside perspective of your issues
- our knowledge transfer to your permanent/transitional staff
- internal and external documentation of our work

and in the case of fixed-bid projects:
- pre-determined total costs
- on-budget projects
- on-time completions.

and at no-cost to you:
- our openness  AND
- our quirky sense of humor!

Hard work is so much more satisfying when you can have a good time doing it! 

In dealing with Murphy’s Law – sometimes you just gotta laugh!

We want to tackle your projects with you.  Please hire us today.

Some of the services we offer include:

  • Developing and implementing Activity-Based Costing (ABC), Active Data Warehousing (ADW), Enterprise Data Warehousing (EDW), Data Warehouses (DW), Data Marts (DM), Decision Support Systems (DSS), Executive Information Systems (EIS) including dash-boarding, Integrated Data Repositories (IDR), Integrated Data Stores (IDS), Operational Data Stores (ODS), and Application Data Stores (ADS)

  • Developing and maintaining enterprise-wide data models, Extended Logical Data Models (ELDM), Logical Data Models (LDM), Physical Data Models (PDM), Key-Based Data Models (KBDM), and Transactional Data Models (TDM)

  • Developing and maintaining the Metadata Repository and data dictionary, and supporting Master/Reference Data Management (MDM) efforts

  • Encouraging and leading Data Governance (DG) and Data Stewardship efforts

  • Encouraging and leading Configuration Management (CM) and the adoption/creation of enterprise-wise IT and process standards (Best Practices)

  • Led Customer Data Integration (CDI), Customer Resource Management (CRM), Enterprise Resource Product (ERP), Supply Chain Management (SCM), and Business Process Re-engineering (BPR)/Business Engineering (BE) efforts.

  • Building consensus and leading data integration, semantic reconciliation, and data harmonization efforts

  • Discussing the pros, cons, and overlaps in the Ralph Kimball vs. Bill Inmon approaches, normalizations vs. de-normalization, 3NF vs. DNF (star schema or snowflake schema), top-down vs. bottom-up approaches, abstraction vs. specificity; and the hybridizations that allow for flexibility while improving performance (views, join indexes, aggregate join indexes, functions, macros, stored procedures, global volatile temporary aggregate tables, materialized views, etc.)

  • Reviewing and assessing existing data processing methods and techniques

  • Rationalizing existing systems and procedures to correct deficiencies and maintain more effective data handling, conversion, input/output requirements, and storage

  • Designing documentation deliverables including: process models, process decomposition diagrams, network architecture diagrams, data models, data flow diagrams, entity-relationship diagrams (ERD)

  • Modeling processes, work-flows, and structures

  • Analyzing and developing complex database designs, data models, and relationship modeling

  • Depicting the flow of data within and between technology systems and business functions/operations

  • Identifying and resolving information flow and content issues

  • Transforming business requirements into logical and physical data models; and transforming logical data models into physical-ized, versioned or instanced data structures

  • Eliminating data redundancy and providing single sources of data while maintaining an enterprise-wide perspective

  • Administering databases and ensuring the recoverability of database structures

  • Working with the development teams, system analysts to ensure optimal normalization and maintain and change the logical database structure

  • Working with managers and users to develop business requirements and to analyze/model current and proposed business process flows

  • Analyzing procedures and problems to refine data and convert to programmable form to increase efficiency

  • Performing optimization analysis

  • Performing database performance tuning and re-organizations

  • Developing documentation of database information, methods, procedures, tasks, and standards.

  • Compliance with CMMI/Six Sigma standards.

  • Critical thinking, information synthesis, priority management, and project planning and control.

  • Team building

  • Consensus building

  • Knowledge transfer to client staff