Data is the lifeblood of an organization and a valuable enterprise asset. It provides the foundation on which to base critical and everyday business decisions. It is, therefore, essential that decision makers can access and depend on quality data to operate confidently in a high-performance environment.   Accenture's data management and architecture service line addresses how an organization manages its data across its entire lifecycle—helping clients ensure that data is available, accurate, complete and secure across the enterprise and with business partners. Effective data management enables better management decisions, reduces risks and enhances productivity and operational efficiency.
Successful data management requires much more than investment in technology. It also involves putting the processes and people in place to manage all aspects of the data lifecycle. Thus, all three areas have an important role to play in how data is created, stored, moved, used and retired. Most executives are constrained by information and data that are often insufficient or untrustworthy, or so copious that they require weeks to analyze. How often are you faced with the following situations? - I receive numerous reports every day, but they all use different terminology and data formats—what does this all mean?
- I call them products, other people call them parts, one system calls them SKUs—and our customers call them by their catalog names and numbers—are they all the same thing?
- I just reviewed a data model of our business to prepare for an acquisition. It looked very nice but it used indecipherable terminology, a very old business model and had nothing to do with our current organization and strategy.
Effective data management enables insight to support better decision making, leading to achieving high performance: - Compliance with government regulations.
- Reduced risks inherent with improved data quality.
- Improved productivity and operational efficiency.
- Improvements in customer satisfaction.
- Increased enterprise agility.
Why Accenture
Accenture's data management & architecture practice provides a structured, holistic approach that delivers offerings and assets to support our clients in managing their data. We structure data management & architecture into the following domains: - Data Governance—the human organization to manage and oversee data.
- Data Structure—the definition of data.
- Data Architecture—the storage, movement and retrieval of data.
- Master Data and Metadata—the management of consistent data content and definitions throughout an enterprise and with business partners.
- Data Quality—the accuracy, completeness and legal compliance of data.
- Data Security—the protection of data and the authorization to use it.
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