SAS Public Safety and Defence Group invites you to attend the third seminar in our nine-part 2014 SAS Public Safety Seminar Series. In this complimentary breakfast seminar, SAS Public Safety experts will share the tips & techniques for managing your organization data effectively.
Data Management for Public Safety– Discovering threats with good data
Data management in public safety can often mean the difference between a mission that will succeed and one that will drown in too much disorganized information. With high-quality, well-managed data, you can gain a clearer picture of your mission. Access the right data when you need it to make better, more strategic decisions. From data quality to data integration to master data management, data management solutions help you stop reacting to bad data – and start using your data to make a difference.
This session covers the following topics:
Data virtualization/federation - special kind of virtual data integration that allows you to look at combined data from multiple sources without the need to move and store the combined view in a new location.
Sub topics covered:
- Data access - refers to your ability to get to and retrieve information wherever it is stored. Certain technologies can make this step as easy and efficient as possible so you can spend more time using the data – not just trying to find it.
- Data quality - is the practice of making sure data is accurate and usable for its intended purpose. This starts from the moment data is accessed and continues through various integration points with other data – and even includes the point before it is published or reported.
- Data integration - defines the steps for combining different types of data. Data integration tools help you design and automate the steps that do this work.
- Data governance - is an ongoing set of rules and decisions for managing your organization’s data to ensure that your data strategy is aligned with your business strategy.
- Master data management (MDM) - defines, unifies and manages all of the data that is common and essential to all areas of an organization. This master data is
- Data streaming - involves analyzing data as it moves by applying logic to the data, recognizing patterns in the data and filtering it for multiple uses as it flows into your organization.