NICE held its annual Analyst Summit this month in the magnificent high-altitude mountains of Peru, a fantastic environment in which to hear top executives share insights into the changing company and industry. NICE has been very successful in navigating the industry transition from voice-centric interactions to a digital-first posture. Consumer behavior is one of the underlying causes of this shift, forcing many organizations to rethink customer experience strategies.
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Topics:
Customer Experience,
Voice of the Customer,
Contact Center,
agent management,
Customer Experience Management,
Intelligent Self-Service
In my past perspectives, I’ve written about the evolution from data at rest to data in motion and the fact that you can’t rely on dashboards for real-time analytics. Organizations are becoming more and more event-driven and operating based on streaming data. As well, analytics are becoming more and more intertwined with operations. More than one-fifth of organizations (22%) describe their analytics workloads as real time in our Data and Analytics Benchmark Research and nearly half (47%) of...
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Topics:
Analytics,
Business Intelligence,
Data,
Digital Technology,
Streaming Analytics,
Analytics & Data,
Streaming Data & Events
I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research 2023 Data Orchestration Buyers Guide is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to data vendors supporting the spectrum of...
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Topics:
Data,
data operations,
Data Orchestration
The 2023 Ventana Research Buyers Guide for Data Orchestration research enables me to provide observations about how the market has advanced.
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Topics:
Data,
data operations,
Data Orchestration
I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research 2023 Data Pipelines Buyers Guide is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to Data vendors supporting the spectrum of Data...
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Topics:
Data,
data operations,
Data Pipelines
I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research 2023 Business Planning Buyers Guide is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to Office of Finance vendors supporting the...
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Topics:
Office of Finance,
Business Planning
The 2023 Ventana Research Buyers Guide for Data Pipelines research enables me to provide observations about how the market has advanced.
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Topics:
Data,
data operations,
Data Pipelines
The 2023 Ventana Research Buyers Guide for Business Planning research enables me to provide observations about how the market has advanced.
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Topics:
Office of Finance,
Business Planning
I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research 2023 DataOps Buyers Guide is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to Data vendors supporting the spectrum of DataOps....
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Topics:
Data,
Data Ops,
data operations
I previously described how Databricks had positioned its Lakehouse Platform as the basis for data engineering, data science and data warehousing. The lakehouse design pattern provides a flexible environment for storing and processing data from multiple enterprise applications and workloads for multiple use cases. I assert that by 2025, 8 in 10 current data lake adopters will invest in data lakehouse architecture to improve the business value generated from the accumulated data.
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Topics:
Analytics,
Business Intelligence,
Data Governance,
Data Management,
Data,
Digital Technology,
Analytics & Data,
Analytic Data Platforms,
AI and Machine Learning