Vision

People are part of technology and drive innovations. Enterprise business process models, enterprise software applications and matching data models are what increases organizational coordination and process excellence for better and consistent data-assisted and fact-based decisions. Clear visibility helps drive clear actions. Business processes and systems (software and hardware) are simply a way to coordinate and achieve good work, enabling structured and continuous improvements. This drives increased shareowner value.

Core Values

• Customer Satisfaction - Customers are embedded in our culture. We will conduct ourselves with the highest standards of excellence and work to gain a trusted position with Customers.
• Ethics - Alexicon strives to be a model of corporate governance and ethical business practices.
• Fact-based Decisions - Increase Customer visibility and vision to accelerate profitability and/or growth.
• Data-assisted - Introduce automated programs and tools to further standardize processes with intelligent data-assistance.
• Teamwork - We foster individual achievement and accomplishment within a teamwork environment.

When engaged, we move quickly to understand the overall project, company objectives and existing bottlenecks to accelerate new or enhanced processes and designs. We assist with completing projects quicker and at lower costs because of size and experience. The biggest win is "increased organizational process visibility and coordination" with process, applications, data and analytics.

Enterprise. Orchestrated.

Enterprise Operating System (EOS)

Enterprise Resource Planning (ERP) and surrounding systems: Customer Relationship Management (CRM), Supply Chain Management (SCM), Human Resources Management System (HRMS), Information Technology Service Management (ITSM), other COTS and In-house Built Applications.

Integrated Applications and Analytics.

In-house and Cloud Planning, Migrations and System Operations.

Process focused Work Instructions.

Leverage a Data Dictionary and "Metadata" for the Enterprise to assist with planning software applications and the data landscape.

Enterprise Metadata >

Process

Enterprise Business Processes and Technical Processes for Systems and Data.

Align key processes across the Enterprise to achieve optimal performance. Sync Enterprise Applications and Analytics.

Time intelligence speeds operations and provides clear communication with Associates, Customers, Partners and Suppliers.

Formal Lean Six Sigma or streamlined methods and techniques.

Define, Measure, Analyze, Improve and Control

Statistical Process Control (SPC): Run Charts, Control Charts and Design of Experiments

Gain the process advantage and include learning in the EDW and Data Lake.

Analytics

Enterprise Visualizations, Dashboards and Reports.

Data Science

Leverage Desktop Excel, SQL, R, Python and Scala code. Hyperscale activities.

Integrate Data Science activities in the EDW for Enterprise-wide computations.

Data Mgmt.

Enterprise Applications, Other Data, EDW and Data Lake.

Data Roadmap >

Enterprise Operating System (EOS)

Process

Analytics

Data Science

Data Mgmt.

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