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// Data management and analytics
We help you understand and analyze your data.
Through years of SCM projects, our team recognized that accurate data sourcing, and clean systems integration, was one of the biggest drivers of success.
// Complex data experience
Complex solutionsand data strategy.
Data Management. MDM Strategy. Data Analytics. What is it?
And how can it help my organization?
Does your firm struggle to define your data management strategy? Do you feel a bit lost trying to understand this ever-changing world? These are common challenges and Logexsoft can help.
Why is a supply chain firm involved in data management? Believe it or not, Supply Chain systems required a substantial amount of manufacturing, product, and sales related data in order to assess forecasting, planning, and scheduling needs. Through years of SCM projects, our team recognized that accurate data sourcing, and clean systems integration, was one of the biggest drivers of success. To aid clients and assist project engagements, we developed a core team which specializes in Data Management, Analytics, and systems integration.
Data management
Data analytics
System integration
Data Management. MDM Strategy. Data Analytics.
What is it? And how can it help my organization?
Logexsoft can help your organization solve many different Data Management challenges, including the establishment of data standards/data governance, consolidation of data onto a platform that’s accessible and efficient for diverse stakeholders (or applications), improvement of integration between IT systems, and control of data flow in a manner that meets policies and regulations of an industry.
Logexsoft begins each engagement by conducting a Data Management Capabilities Assessment (DMCA), which evaluates an organizations’ business processes, data uses/activities, and technology. The DMCA will rate the maturity of the firm’s Data Management practices and highlights potential opportunities for improvement. From the assessment, we work with our clients to develop a roadmap of short-term and long-term opportunities for improvement.
// Data challenges
Challenges we havefaced and solved.
01.
Data Cleansing and Quality Challenges
- Multiple versions of the same data
- Poor data quality from entry without validation
- Need for real-time data from transactional systems
- Different data formats for the same data field
- Time-varying vs. static values reconciliation
02.
Data Management, System Integration,and Automation Challenges
- Data sourcing from disparate systems
- Manual data entry (i.e. Excel spreadsheets)
- Data is not standardized across multiple sources
- Application of business rules against data
- Consolidation of data for reporting & analytics
03.
Analytics and Data Visualization Challenges
- Compare and contrast data without slicing and dicing
- Benchmarking targets against actual performance
- Aggregation desegregation
- Automated tools for data reporting
- Decision boards / Dashboards
// Our case studies
Data management
