Afternoon Coffee: Uber CEO Kalanick Resigns, How Poor Data Quality Cripples Procurement Performance

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Following a series of PR scandals and public draggings by the media, Uber CEO Travis Kalanick said in a statement Tuesday that he would resign as the ride-hailing company’s CEO, the New York Times reports. Kalanick will remain on Uber’s board of directors and hand over day-to-day operations to a committee of more than 10 executives.

“I love Uber more than anything in the world and at this difficult moment in my personal life I have accepted the investors request to step aside so that Uber can go back to building rather than be distracted with another fight,” Kalanick said in the statement.

Data Governance Survey 

BravoSolution and the North Carolina State’s Supply Chain Resource released Tuesday the results of their first annual Procurement Data Governance Survey, according to a press release. Among several interesting finding, the research showed that although poor data is a significant industry issue, only 20% of organizations are currently implementing an improvement program.

“The report highlights the importance of data quality and governance mechanisms that organizations can put in place to achieve value,” said Robert Handfield, executive director of SCRC at North Carolina State University. “The results of the first annual Procurement Data Governance Survey emphasize that for organizations seeking to harness the power of analytics, investment in data governance is a foundational requirement for procurement.”

Beeline Genesys Partnership 

Beeline announced Tuesday a strategic partnership with talent cloud solution provider Genesys Talent, according to a press release. Through the partnership, Beeline users will be able to directly access talent sourced by Genesys from within Beeline's Self-Sourcing tool.

To learn more about Genesys, which appeared on this year’s 50 to Watch list, read our recent coverage of the provider’s $2.1 million seed round.

CrowdFlower Funding 

And finally, another funding: CrowdFlower, a microtask crowdsourcing business founded in 2007, announced it had closed a recent $20 million funding round. The company said it would use the new funding to extend its platform functionality and develop integrations into other machine learning technologies.

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