Enabling a data and information driven organization.
Today, leaders in charge of supporting data quality, metadata management, Master Data Management (MDM), data integration, data warehousing or database management system (DBMS) initiatives face significant challenges. The volume of data and variety of data formats has grown dramatically pushing many organizations to develop redundant and overly-complex data architectures and data integration processes; demand from users for information as a service is at an all time high; and systems have become increasingly decentralized. Furthermore, data management and integration are required to deliver key performance indicators required for reporting and the monitoring of business, as well as provide a platform for:
- Financial and Regulatory Reporting
- Information Management and Analytics
- Profitability and Working Capital
- Workforce and Human Capital Analytics
- Sales and Marketing Growth
- Supply Chain Efficiency
- Inventory Management and Operations
MarketSphere’s Data Management and Integration experience includes best practices on how to define processes and utilize technology to store, manage, access and collect data. We help our clients create a data management and integration system that serves as a backbone and provides the path to identify the data needed to make critical decisions. The result: a systematic, integrated approach that links enterprise strategy to core processes and activities such as planning, budgeting, analysis and reporting and allows our clients to better answer questions such as, “Why is my revenue down?” and “How can I improve productivity in my workforce?”.
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Key Focus Area
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Activity
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Information Architecture
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- Developing architectures to enable core business groups for data management
- Redefining the business and IT relationships on data management
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Data Quality & Governance
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- Initiating data governance process and procedures
- Developing organization-wide data quality cultures
- Implementing data quality tools and technologies
- Developing metadata and master data strategies and approach
- Deploying metadata/dimension management solutions
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Data Integration
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- Providing a platform to converge and integrate data from multiple source systems
- Delivering a centralized solution component for business decisions and information management
- Managing data architecture and integrity challenges
- Developing upstream and downstream data movement and reconciliation
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Tools Standardization
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- Rationalization of tools and technologies
- Developing an approach on integration and usability of various tool sets
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Modular Approach
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- Allows stakeholders to being with smaller scope, establish foundation, and work upon extending into the future
- Ability to take one or more subject areas at given time and drive towards future holistic enterprise application state
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Business Agility Support
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- Enabling data-driven enterprise
- Provide business centric approach to deliver data
- Adaptability to business users and delivery of a coherent view of enterprise data
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Data Relationship Management at Alcoa, Inc.