Instinct meets evidence: pushing sales limits with operational big data

April 23, 2014
10:00am — 11:00am PDT
Featured Panelists
Simon Tucker Chief Customer Officer, Anaplan
Moderated by

The sales organization may be a business’ richest source of data. Sales reps understand the value of their products, what sells and what doesn’t, the drivers that won or lost deals, and the margins necessary to justify their effort. Every success or failure builds that body of knowledge. So why, despite mountains of relevant, high-quality data and a wide range of analytics tools, is sales planning still run on hunches?

Much of the reason is logistical. Data scientists are busy and in high demand, so custom reports are stale by the time they’re complete. IT-built reporting tools provide on-demand information, but only within fairly rigid constraints. Neither solution is ideal for incorporating other forms of data from knowledge workers themselves that cannot be gleaned from automated analytics. Without timely access to the data they need to make daily decisions, so they rely on instinct over evidence.

To take full advantage of what data analytics can offer and integrate data into every decision process, businesses must put flexible tools directly in the hands of operations. This Webinar will evaluate the challenges to and potential for creating predictive data tools and making those tools available and useful to knowledge workers. Join Gigaom Research and our sponsor Anaplan for “Instinct meets Evidence: Pushing sales limits with operational big data,” a free analyst roundtable webinar on Wednesday, April 23, 2014 at 10:00 a.m. PT.

Key topics of discussion

  • What are the inefficiencies in current manual and automated planning?

  • Which companies and industries have done the best job of democratizing analytics?

  • What lessons about data-driven planning can other departments learn from sales?

  • How should existing business intelligence systems, data warehouses, and other analytics tools interact with new systems?

  • What are the cultural and operational concerns of bringing data-driven tools to operations?

Who should attend

  • CIOs and CTOs

  • VPs of Sales

  • IT decision-makers

  • Project management professionals

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