FIMA West US 2015 (past event)
December 07 - 09, 2015
Rancho Bernardo Inn, San Diego, CA
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Alex Olson
Managing Director
Kingland Systems
Check out the incredible speaker line-up to see who will be joining Alex.
Download The Latest AgendaData Management Operations to Add Value and Meet Regulatory Obligations
Wednesday, August 12th, 2015
13:45 Panel Discussion | Data Management Strategies that Balance the Needs of a Small to Mid-Sized Firm
Let’s face it, one size does not fit all across the industry. Many small and mid sized firms are at the starting gates of getting a data management program off the ground and many questions remain unanswered. How do you establish a data management program to suit the needs of your business? How do you scale it up as you grow and data management matures?
Panelists will address how to:
• Meet the needs of your business without adding unnecessary headcount
• Establish data governance structures and determine workflows in the absence of a CDO
• Define the size and scope of data management and data governance
Panelists will address how to:
• Meet the needs of your business without adding unnecessary headcount
• Establish data governance structures and determine workflows in the absence of a CDO
• Define the size and scope of data management and data governance
16:45 Panel Discussion | Working Toward Better Data Quality for Better Decision Making
There is inherent business value in having data with integrity and improved data quality in any organization generates better business decisions. How do you determine the rules around data quality? How do you define KPIs and metrics around reporting?
Data quality experts will discuss:
• How can processes be automated to reduce costs and benefit in better reporting and data quality?
• How are data quality activities judged and managed when there are diverse divisions?
• How are business processes being improved to ensure data quality up front when it is captured?
Data quality experts will discuss:
• How can processes be automated to reduce costs and benefit in better reporting and data quality?
• How are data quality activities judged and managed when there are diverse divisions?
• How are business processes being improved to ensure data quality up front when it is captured?