/home/leansigm/public_html/components/com_easyblog/services

SigmaWay Blog

SigmaWay Blog tries to aggregate original and third party content for the site users. It caters to articles on Process Improvement, Lean Six Sigma, Analytics, Market Intelligence, Training ,IT Services and industries which SigmaWay caters to

Success factors for Master Data Management (MDM)

Master Data Management (MDM) programs often start with the analysis of the available technology and products but not the business problem they tend to solve. Three primary categories of MDM benefits are operational efficiency, better business intelligence, and regulatory compliance. The following are ten things one can do now to prepare the organization for  MDM initiative:

• Set goals and success criteria.

• Prepare a business case.

• Build a governance process.

• Choose the first subject areas to attack.

• Carry a data inventory.

• Recognize executive sponsorship.

• Identify business champions.

• Set up an educational forum.

• Educate yourself about products and approaches.

• Develop a business model of the data to be handled.

Read more about this article at: 

http://esj.com/Articles/2008/06/25/Ten-Tips-for-Master-Data-Management-Success.aspx?Page=1

Rate this blog entry:
4849 Hits
0 Comments

The 80/20 Rule for Analytics Teams

20-30% of the business decisions really need the use of advanced techniques like predictive analytics.   70-80% of marketing decisions can be judiciously carried with simple analytics techniques. A CMO broadly expects 3 key outcomes for his business:

• Bring more “future” customers in the most cost-effective manner.

• Convert those who come to the door into customers.

• Maintain the current customers “buying.”

Predictive Analytics need advanced skills and constant maintenance. A product manager or an operations manager equipped with the right “Data to Decisions” framework and easy access to data can optimize 80% of their daily workflow on their own, without having to depend on little and costly analytics resources. For 20% of decisions, where the potential ROI justifies the use of advanced techniques, they can work with their analytics counterpart. In summary, a smart CMO knows that a marketing team equipped with a “Data to Decisions” framework and easy access to data without the company of a data science team would emerge much better than a marketing team lacking data skills supported by a large data science team.  Read more at: 

 

http://www.forbes.com/sites/piyankajain/2013/05/26/the-8020-rule-of-analytics-every-cmo-should-know/

Rate this blog entry:
5304 Hits
0 Comments
Sign up for our newsletter

Follow us