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Matthew Mikell
Market Manager, IBM

Matthew Mikell joined IBM in April leading product marketing efforts for big data using in-memory database technology with business analytics. Previously he was the cloud evangelist with Dell, providing leadership and future perspectives for cloud computing. Matthew worked 15 years with analytics vendor SAS Institute in roles of product marketing for small/midsize business, managed services, software-as-a-service(SaaS) and alliances. He has lived in the USA and Germany working with global clients and system integrators..

Time is money, but for decision debt collaboration costs less

Time is money, but for decision debt collaboration costs less

Where chief data officers find their own technical debt

June 30, 2016 | by Matthew Mikell, Market Manager, IBM
Don’t let your business come to a standstill as a result of technical debt. Discover how a decision debt approach to tools and analytics help overcome the quick-fix solutions that contribute to technical debt and its impact on business.
Bimodal IT: A catalyst for cloud-based self-services and IT governance

Bimodal IT: A catalyst for cloud-based self-services and IT governance

May 16, 2016 | by Matthew Mikell, Market Manager, IBM
How can organizations give line of business the speed and agility of self-service applications while ensuring IT can satisfy governance requirements? Consider how digital era transformation and the need for innovative insight and decision making are driving a bimodal IT approach that can bring...
Business intelligence comes to the cloud

Business intelligence comes to the cloud

April 29, 2015 | by Matthew Mikell, Market Manager, IBM
Mainstream business practices call for the critical requirements of business intelligence (BI) to enable evidence-based decisions, and line-of-business users should expect no less from providers of cloud-based business analytics.

Does your big data have real monetary value?

December 19, 2014 | by Matthew Mikell, Market Manager, IBM
Increasing big data investments in compliance, licensing and risk requires organizations to rethink the value of their data.