Over at the EyeOnBI blog Mike Leano summarizes a recent Gartner presentation on the cost of "dirty data" – data that is inaccurate, incomplete, or duplicated. Gartner estimates that more than 25% of the data within Fortune 1000 companies is flawed, and will continue to be flawed for the foreseeable future at most companies. Gartner observes that bad data isn't just an IT problem, and suggests that companies need to appoint 'data stewards' within business groups that are responsible for the quality of information.
You've got to have clean data if you are going to successfully compete on analytics. Speaking of competing on analytics – Tom Davenport's book by that name was recently published (expanding on his HBR article mentioned in my previous post) and arrived from Amazon this week. I'll be reading it soon and share my thoughts in an upcoming post.
Competing on Analytics: The New Science of Winning
by Thomas H. Davenport and Jeanne G. Harris
Harvard Business School Press
March 2007
During her time at Glenbrook, Erin focused on client engagements in business payments, cross-border transactions, bill payment, and the intersection of corporate finance, banking, and ERP/accounting. She has nearly twenty years of experience leading increasingly complex payment initiatives for corporate clients and advising financial institutions and payment technologists on the development of their payment capabilities.
Erin is also the founder of Forte Financial, a consulting firm focused on corporate finance efficiency, technology, and process improvement. She is a past president of the Financial Women’s Association of San Francisco and also a two-term past president of the San Francisco Treasury Management Association. Erin is no longer with Glenbrook, but contributed greatly during her time at the firm.