Maximizing Information as a Valued Asset
Provide optimal information and analytics management
" The truth is that being a CIO is a great way to deliver an incredible amount of value. And, business intelligence (BI) and analytics tools are often my best friend in delivering this value."
To realize the value of analytics in a cost-effective and nimble fashion, organizations need to provide proven information management and analytical management techniques. Too many organizations spend too much time preparing data for analysis, and many struggle with managing the entire analytics life cycle across different organizational divisions.
How SAS Can Help
It's a fact – organizations that effectively implement technology governance, decentralized decision making and more outward-looking data gathering practices are more likely to achieve better performance. SAS can help you implement each approach:
- Big data management. SAS® Data Management capabilities are designed to support huge data volumes with increasing velocities and variety, including text-based data. Prebuilt data integration and data quality tools expedite data integration efforts, and a complete set of integrated data management technologies support data integration, data quality, master data management and enterprise data access.
- Integration of text-based information. SAS understands the critical need to address the exploding volumes of text-based data. We can help you manage, govern and score data in the ETL process, and we realize that text-based data requires different computational techniques to provide business value. Our text mining and sentiment analysis capabilities are just two ways that we are helping our customers get the most value from this previously untapped source of information.
- Data optimized for analytics. SAS provides data preparation capabilities that are analytics-aware, including role-based GUIs that facilitate collaboration between business units, data stewards, analysts and IT staff. This helps foster a successful analytic culture across your entire organization.
- Effective model development and management. SAS enables you to manage the complete analytical life cycle, regardless of where the data sits, where the processing takes place, where the users are located, etc.
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