Data
Roadmap
Enterprise. Orchestrated.
Enterprise Operating System (EOS) >
A structured data warehouse provides a central access point to company data. It standardizes data and allows for more tight security controls (data security), Multidimensional analysis (MDA) abilities, accuracy and ease of use (structure and speed). We focus on the Enterprise Data Warehouse (EDW) as a single source for conformed enterprise data (central intelligence; enterprise-wide computations). It is important for enterprise data relationships and data science use across the enterprise. Below is a roadmap for improving and advancing the EDW. The ability to trend data to understand past performance, comparing and projecting.
Compute and Store has become a cloud and onsite cost to consider. Large database reporting is typically built overtime with plans at the time. Repetitive low-grain queries can cost with Compute and time. Also, if the database is not completely synced on time and "company dimensions" for full IDE multidimensional use, improvements or a new structure can be used.
Our service and framework can be completely Alexicon code around major applications and data integration tools and/or we work with existing and new services, software and/or cloud solutions to achieve the “Seven Levels of Maturity” for optimal enterprise data performance. We seek and team with best-in-class software and cloud solutions for each level and with integrations.
EDWs are SQL-based and our approach is SQL-based schemas and tables. We do use R and Python with SQL.
The Orchestrated EDW Framework runs a compact enterprise data model. In-memory with drill-to a EDW Massively Parallel Processing (MPP) database for detail and Data Lake for select storage and processing.
Seven Levels for gauging Enterprise Data Maturity and Optimization
With Enterprise Data crossing many applications and databases, understanding current business data and machine data is key to bridge the business-side to varied formats of technical data. From simple text, time and numerics to digital data.
Plant Operations > Industry 4.0 > IIoT > HMI > SCADA >
Contact us to learn more about improving your Company's Data Roadmap and EDW. Our focus is more tables and columns (data centric) and use along with host software and hardware.
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 >
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.
Enterprise Visualizations, Dashboards and Reports.
Leverage Desktop Excel, SQL, R, Python and Scala code. Hyperscale activities.
Integrate Data Science activities in the EDW for Enterprise-wide computations.
Enterprise Applications, Other Data, EDW and Data Lake.
Data Roadmap >
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