Data Modeling & Reporting
Unlock the hidden potential of your data. Having access to the right data in the appropriate context enables
informed decision making to gain a competitive edge. Companies lacking a comprehensive data strategy often
have disparate data stores, which create conflicts, risk, and does not utilize employee’s time effectively.
Business Benefits
We provide comprehensive, experience-based solutions, that pulls inputs from any of our 300+ employees to ensure we are utilizing the right technologies, to exceed our client expectations.
We approach business transformation by accelerating the path of actionable data to enable business agility. We use a methodical approach for eliminating data debt across the data lifecycle, from acquisition to reporting.
Our solution design and delivery best practices ensure we expand the value of our solutions to optimize and trasform business processes. We don't work on solving problems of today, but also creating avoidance of tomorrow's challenges.
Our craftsmanship and real-world experience in all aspects of technology establishes cost-effective use of the appropriate technologies to ensure returns are accelerated and the long-term cost of ownership continues to return value to your organization.
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Increase Revenue
Expand data utilization for improved decision making
Reduce Total Cost of Ownership
Lower cost of data management and integrations through enterprise data management
Identify and Manage Risks
Improved data processes and centralized data management create consistent and high-quality data to enable greater insights and identification of risks and issues
Supportive & Gain a Competitive Advantage with Adaptive Intelligence
RPA significantly reduces time to perform tasks, increasing your processing capacity without adding more FTEs
Data Warehouse
- Identify a data warehouse solution
Design and implement (On-prem, Cloud, Hybrid) - Optimize data warehouse for maximized performance
Develop and implement BC/DR strategy - Data warehouse operation and management
Data Acquisition
- Leverage intelligent automation to acquire external data sources where ETL/Middleware cannot receive data from a push/ pull/ poll
- Use automation to structure reports/data to be easily utilized across the data lifecycle
ETL / Middleware
- Define, design, and implementation of data integration between data sources and the data warehouse
- Support enforcement of data governance standards
Data Presentation
- OLAP (R/M/H OLAP)
- Reports
- Alerts
- Dashboards
- Metrics & Scorecards
- Collaborative BI
- Mobile BI
- Budgeting, Planning
- BI Platform
- Rationalization
- Report Migrations
Data Visualization
- Data Discovery
- Data in Motion
- Dynamic Data
- Visual Querying
- Multi-Dimensional
- Interactive, Intuitive & Self
- Learning
- Benchmarking-as-a-Service
- Strategy Roadmap