RPA | SSON Analytics

Shared Services in Deutschland: Fokus auf Produktivität und Working Capital

Posted by barbara.hodge@ssonetwork.com on August 15, 2018

Deutschland vis-a-vis mit Europa: Erfolgsfaktoren, GBS-Strategien, Digital Disruption

Posted by Syazana Lim on June 25, 2018

A few things to take note before embarking in your Intelligent Automation (IA) journey...

Limits of mankind: 26 years on and we’re now running 0.28 seconds faster…

Posted by Emma Beaumont 2 on August 25, 2017

Should we be spending our time going to great lengths to make incremental improvements... when the bots can do it so much better?

5 Ways You'll Change Your Mind: Robotics Process Automation (RPA)

Posted by simonbarton on June 21, 2016

RPA is set to change the business services landscape. But how do perceptions of RPA change once users have actually implemented an RPA solution? Find out in our latest RPA industry survey...

The Neglected Link in Shared Services Automation: The People Element

Posted by Barbara Hodge 2 on March 20, 2016

Despite all the excitement around shared services automation there remains a key stumbling block: forgetting to bring your people on board.

Blog Tag: RPA

"By utilizing SSON Analytics’ data tools/analytics reports BD has been able to benchmark and assess how the company is positioned against world-class performers. Knowing that what we are reading has been provided by practitioners makes it a very trustworthy source of information."

"As we measure our operations, we are tapping into the comprehensive metrics in SSONA’s City Cube to benchmark what our peers in the same region and industry are able to achieve. This helps us to identify opportunities to drive continuous improvements."

"Despite having the highest risk of windstorm and flood as well as a high earthquake threat, Manila has the largest SSC concentration in APAC"

"We have found the Enterprise Dashboard and the SSC Metric Checker particularly insightful, as both are developed on factual analysis based on quantitative measures such as cost, cycle time, FTE effort, use of shared services, and application complexity."