Gigaom Research webinar: Instinct meets evidence: pushing sales limits with operational data


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.

In this webinar, our panel will address these topics:

  • 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 is the role of storage in analytics?
  • How should businesses approach capturing and integrating non-transactional data?
  • What are the cultural and operational concerns of bringing data-driven tools to operations?

Speakers include:

  • Andrew J. Brust, founder and CEO, Blue Badge Insights
  • David S. Linthicum, SVP, Cloud Technology Partners
  • William McKnight, founder and president, McKnight Consulting Group
  • Simon Tucker, chief customer officer, Anaplan

Register here to 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.

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