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Pizza for coders led to Heap s 360-degree view of the customer journey

How Heap io s digital vacuum cleaner can improve digital experiences by analyzing customer journeys

Organizations need both qualitative and quantitative understanding of their customers journeys.

New Leader for Digital Product Analytics Firm Heap - Daily Research News Online

New Leader for Digital Product Analytics Firm Heap March 9 2021 San Francisco-based Heap has named Ken Fine as its new CEO, replacing co-founder Matin Movassate who is moving to the full-time role of Chairman of the Board. The firm has also expanded its product portfolio and added two VPs to the team. Heap automatically captures customer app and web site user interactions, without requiring tracking plans, tracking code or tags - and produces real-time reports allowing clients to understand what users are doing. Fine (pictured) joined in 2019 as President and COO following the firm s $55m Series C round of funding, and after serving as Symphony Commerce President and CEO. Earlier, he was Chief Customer Officer & VP Worldwide Product at customer experience management specialist Medallia, and he founded online investment manager Financial Engines, which he ran for more than fifteen years until its IPO in 2012. Movassate comments: A recognized leader who s made a career out of driv

Ways to Ensure CX Data Quality

PHOTO: Sharon McCutcheon Data is essential for the design and delivery of customer experience programs, but the value of the data depends on its accuracy, completeness and timeliness. According to a SnapLogic study, 76% of companies are missing revenue opportunities due to lack of data insights, and 72% of companies surveyed said customer engagement and satisfaction are negatively impacted due to missing or incomplete data. Additionally, more than half (54%) admit to relying on poor quality data to drive strategic decision making. To know that so many organizations are making business decisions using data they do not trust is alarming, said SnapLogic CTO Craig Stewart. To get data analytics projects right, it’s critical that organizations review what data they have, the applications and sources it comes from and how they are bringing it all together.

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