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Purposed to improve quality and ease, the implementation and establishment of Data Management technologies bolsters confidence in business operations. Trexin keeps quality top-of-mind to address data ingestion, preparation, and storage requirements, ultimately making data ready for critical decision-making activities. Strategically building data infrastructure at each stage of data usage allows for data’s flexible and continuous use within the organization, and thoroughly vetted controls will ensure the ongoing value of data in business development and data-driven decision making.
Trexin has developed structured Data Management service offerings to ensure the following:
- Minimal Viable Product and Future State Architecture
- Data Infrastructure Creation
- Quality Reporting – Mapping, Modeling, and Analytic Set Up
- Data Migration Strategy and Execution
- Data Security and Governance
Trexin’s approach reviews and builds end-to-end Data Management models to allow businesses to meet requirements, objectives, and key business targets.
- Trexin designs and builds Infrastructure and Governance Development – enabling oversight and management of data throughout the data lifecycle and business process
- Understanding the scope of your data lifecycle – Trexin structures and configures functionality to leverage data at each stage of the data’s lifecycle
- Trexin comprehensively covers the end-to-end structure of data management, and extends beyond to provide and supplement analytics capabilities
Help section
Help me support ongoing operational activities
- Failing or delayed jobs costs a business dearly, often resulting in not being able to review accurate and timely reports to quickly react to issues and opportunities
- Team is wasting too much time and energy compiling and readying data for reports and analysis – instead of reacting to, or exploiting, the reports and analysis
- Data in legacy structures and platforms are suboptimal for current operations and needs, with the corollary that determining data content and organization (structure) are critical for ensuring essential processes are completed efficiently and on time
- Data governance must exist as well as provide value and oversight
Areas of Expertise:
- solution alternatives
- critical / strategic requirements
- operations
- efficiency
- data structure
- data organization
Help me establish quality and trustworthy reports
- Inconsistent reports make decision making less clear and the path to resolving discrepancies is often unclear. Quality issues with underlying data (e.g., differences in timing and granularity, missing/incorrect data, misalignment, or ambiguity) undermines customer, partner, regulatory, employee, and public confidence in the firm’s ability to manage operations with severe impact on financial performance
- Understanding data and the underlying warehouses (or storage paradigm) is an important first step in gaining the trust needed to make decisions with your reporting and data models
Areas of Expertise:
- Data Quality
- Reporting
- Data Consistency
- Data Performance
- Data Warehouse
Help me streamline the endless data migration journey
- Data migrations often seem simple at first, but as they progress, data dependencies, semantic and syntactic alignment, storage formats and locations, and ETL requirements not previously identified increases scope and challenges
- Understanding data dependencies and structures helps you focus or rearrange data to ensure your migration progresses closer to plan
- Key is a good specification of intentions for the data (see ThoughtWorks Data Mesh Concepts with special focus on LVT and data products)
Areas of Expertise:
- Data Requirements
- Dependencies
- Data Formatting
Help me secure my data
- Understanding who has access to your data is an important component of data security; rigorous management of access combined with facile delivery to authorized users is critical to obtaining the optimal balance of protection and operational efficiency (e.g., Open Policy Agent approach in Cloud Computing)
- Access to data is (authorization and authentication management) only one piece of the solution; proper risk management entails secure solutions when data is at rest and in transit
- The consequence of neglecting data management, with attendant reductions in quality data delivery and increases in data exposure, puts both customers and the firm at risk. Poor support for major business decisions, inaccurate reporting, and/or external breaches will have devastating effects on both financial performance and long-term viability
Areas of Expertise:
- Data Security
- Access
- Authorization
- Data Exposure
Help me create high-performance analytics and models
- Poor data management is detrimental to any business that uses analytics for its decisions whether in dashboards, models, or decision-making applications. The speed of the marketplace clearly favors those with the insights to anticipate and react to evolving market dynamics; new customer expectations; supply chain disruptions and opportunities; and competitor blind spots and missteps
- Modern analytic techniques are advancing quickly, and all data needs to meet standards for accuracy, precision, completeness, timeliness, relevance, structure, and delivery. Proper data management is again a necessary component of the target state
Areas of Expertise:
- Reports and Dashboards
- Models
- Analytics
- Complete Data
- Clean Data
