Beyond Philosophy

SEPTEMBER 25, 2017

I’ve been reading about Big Data’s foray into “Journey Analytics.” Journey analytics seeks to improve customer experience by collecting data at each point on a customer’s journey and mapping customers’ paths – whether they lead to a purchase or not. Either one can destroy value.

Big data 284

Big data Journey mapping Consulting Consulting 284

Aspect

AUGUST 26, 2019

There is information everywhere: in your ACD , WFM, CRM, quality management, recording, surveys, speech analytics and self-service systems. As new customer engagement channels become popular and better speech and text analytics tools come into use, we are faced with an inexorable rising tide of available information.

Big data 102

Big data Management Journey mapping Contact Center 102

Avaya

DECEMBER 6, 2016

Whether you realize it or not, big data is at the heart of practically everything we do today. In today’s smart, digital world, big data has opened the floodgates to never-before-seen possibilities. If you ask us, though, the best customer experiences today are supported by customer journey analytics.

Big data 66

Big data Customer Experience Analytics Self service 66

Totango

DECEMBER 16, 2020

One of the most exciting new trends in customer success is the emergence of out-of-the-box solutions that allow you to automate the implementation of optimized customer journey maps. This technology provides you with pre-designed templates for each stage of your customer journey, from lead acquisition to retention.

Journey mapping 71

Journey mapping Best practices Accountability Big data 71

Totango

DECEMBER 1, 2021

An agile approach brings the full power of big data analytics to bear on customer success. This provides transparency and accountability and empowers a data-driven approach to customer success. You can define KPIs for any stage of the customer journey , including onboarding, adoption, and expansion.

Government 97

Government Journey mapping Accountability Benchmark 97

Totango

SEPTEMBER 1, 2022

QBRs in SaaS usually involve business clients, particularly clients with larger accounts, requiring more attention. In addition to relying on outdated data, the traditional QBR model fails to take advantage of the latest tools for agile innovation in digital technology, AI, and big data analytics.

SaaS 98

SaaS Journey mapping Upselling Best practices 98

REVE Chat Blog

FEBRUARY 12, 2020

Innovation in data collection, analytics, and channel strategies has enabled financial institutions to diversify means of engaging customers , building better relationships through real time assistance. The customer experience in banking has taken a big leap through proactive communication with customers. Let’s dive in: 1.

Banking 76

Banking Customer Experience Chatbots Big data 76