Check out our upcoming local meet up for staffing and recruiting companies. Let’s grab a drink & apps (on us!) and swap stories about what you’re measuring at your company:
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Nothing sours a good Chobani and granola breakfast like reading an article titled “3 reasons to hate BI dashboards.” Ouch. Joe McKendrick at ZDNet was echoing the sentiments of Mark Smith, CEO & Chief Research Officer of Ventana Research, laid down in his perspective: “The Pathetic State of Dashboards.” Double ouch. We know both McKendrick …
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Garbage to Gold: Better Data Quality for Better Business Summary: For ERE.net members, InsightSquared’s CEO Fred Shilmover discusses how better data quality and better data management can improve your business’ bottom line. This webinar discusses: How to improve data quality Changing the culture of your business to make data quality a KPI Case studies on …
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If you talk to enough sales leaders (and I’ve talked to a LOT of them), patterns emerge. One of those patterns is how they approach their daily routine. They wake up, they open their eyes and immediately start to think about their pipeline. What’s going to close soon? What’s in trouble? What has lost its …
Read more »ERE.net will be hosting a webinar led by InsightSquared CEO Fred Shilmover on August 22 at 2pm EST. Join us as we explore what better data means to the staffing & recruiting industry, and how running your business by the numbers can help improve your business. Click here for more information and to register for the …
Read more »Check out our upcoming local meet up for staffing and recruiting companies. Let’s grab a drink & apps (on us!) and swap stories about what you’re measuring at your company:
Read more »Garbage to Gold: Better Data Quality for Better Business Summary: InsightSquared’s CEO Fred Shilmover discusses how our business intelligence software can spin your company’s low quality data into reliable numbers for actionable analytics. This webinar discusses: A look into what having better data means for you The best practices in achieving better data quality Case studies …
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