Using customer analytics effectively involves several challenges. Organizations must make it a business priority, cultivate leadership and set a course for ensuring data and analytics are being processed and governed effectively. But effectiveness also requires technology that will assist in the effective operations and management of customers and help an organization achieve its goals.
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Topics:
Customer Experience,
Voice of the Customer,
business intelligence,
embedded analytics,
Analytics,
Collaboration,
Data Governance,
Data Preparation,
Information Management,
Contact Center,
Data,
Digital Technology,
Digital Commerce,
blockchain,
natural language processing,
data lakes,
Intelligent CX,
Conversational Computing,
collaborative computing,
mobile computing,
Subscription Management,
agent management,
extended reality,
AI and Machine Learning
I am happy to share some insights from our latest Value Index research, which rates how well vendors’ offerings meet buyers’ requirements in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). The Ventana Research Value Index: Sales Performance Management 2019 is the distillation of a year of market and product research efforts by Ventana Research. Drawing on our...
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Topics:
Sales,
Customer Experience,
Office of Finance,
Analytics,
Contact Center,
Data,
Sales Performance Management,
Financial Performance Management,
Digital Technology,
Digital Commerce,
Predictive Planning,
Conversational Computing,
collaborative computing,
mobile computing,
Subscription Management,
agent management,
intelligent sales,
AI and Machine Learning
Customer analytics have never been more important, but effectively creating and managing them is not easy. The data that’s required to achieve visibility into all customer activity involves many applications and systems and it’s a challenge to ensure the data used is accurate and consistent. Even once data is assembled, organizations often struggle to apply analytics to create the metrics that best represent an understanding of the past and, more importantly, the path to the future.
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Topics:
Customer Experience,
Voice of the Customer,
embedded analytics,
Analytics,
Business Intelligence,
Collaboration,
Data Governance,
Data Preparation,
Information Management,
Contact Center,
Data,
Digital Technology,
Digital Commerce,
blockchain,
natural language processing,
data lakes,
Intelligent CX,
Conversational Computing,
collaborative computing,
Subscription Management,
agent management,
extended reality,
AI and Machine Learning
Ensuring that the sales organization contributes as fully as possible to the success of the organization — to revenue, growth, profitability and the overall customer experience — requires not only dedication but effective strategy and planning. A well-developed strategy and plan to utilize current and future sales talent is essential for the best possible sales performance. To carry out this mission, organizations need a set of coordinated sales-related activities, processes and systems that...
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Topics:
Sales,
Customer Experience,
Office of Finance,
Analytics,
Contact Center,
Data,
Sales Performance Management,
Financial Performance Management,
Digital Technology,
Digital Commerce,
Predictive Planning,
Conversational Computing,
collaborative computing,
mobile computing,
Subscription Management,
agent management,
intelligent sales,
AI and Machine Learning
Today’s intense competition requires that companies know as much as they can about their customers in order to anticipate their needs and deliver a superior customer experience. However, many organizations struggle to do this well. Implementing initiatives to improve customer value across any department or process involving customers requires both in-depth visibility into current operations and excellent metrics.
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Topics:
Customer Experience,
Voice of the Customer,
business intelligence,
embedded analytics,
Analytics,
Collaboration,
Data Governance,
Data Preparation,
Information Management,
Internet of Things,
Contact Center,
Data,
Digital Technology,
Digital Commerce,
blockchain,
natural language processing,
data lakes,
Intelligent CX,
Conversational Computing,
collaborative computing,
mobile computing,
Subscription Management,
agent management,
extended reality,
AI and Machine Learning
Having effective analytics enables businesses to understand far better than ever before the data they’re collecting, and to do so in greater volumes and more forms. These new capabilities are especially relevant to sales organizations. When applied to sales data, analytics can help sales teams achieve quotas and forecast more consistently, as well as understand the impacts of incentives and maximize the potential of territories, all of which help improve sales performance. These benefits...
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Topics:
Customer Experience,
Voice of the Customer,
embedded analytics,
Analytics,
Business Intelligence,
Collaboration,
Data Governance,
Data Preparation,
Internet of Things,
Contact Center,
Data,
Information Management (IM),
Digital Technology,
Digital Commerce,
blockchain,
natural language processing,
data lakes,
Intelligent CX,
Subscription Management,
agent management,
AI and Machine Learning
We now are well beyond the year depicted in 2001: A Space Odyssey, a cinematic perspective on the future of artificial intelligence in which HAL 9000, a computer, is able to simulate human behavior and control machines. Anyone reviewing the past two years of marketing around AI in the business technology industry can be forgiven for believing that we have arrived at the futuristic state Stanley Kubrick imagined. We have not.
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Topics:
Big Data,
Data Science,
Mobile,
Customer Analytics,
Customer Engagement,
Customer Experience,
Machine Learning,
Mobile Technology,
Wearable Computing,
business intelligence,
Analytics,
Cloud Computing,
Collaboration,
Customer Service,
Data Governance,
Data Integration,
Data Preparation,
Internet of Things,
Contact Center,
Information Optimization,
Digital Technology,
Machine Learning and Cognitive Computing,
Cybersecurity,
Billing and Recurring Revenue,
Workforce Optimization,
collaboration for business
We are have arrived at the May 25, 2018 date when the European Union’s General Data Privacy Regulations (GDPR) become enforceable, following what has been a two-year transition period. Companies were given this time to put in place reasonable measures and the systems necessary to support the legislation’s wide-ranging personal data privacy requirements, which apply to any organization with more than 250 employees that serves EU citizens. While this regulation will apply in the EU, it has...
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Topics:
Big Data,
Data Science,
Mobile,
Sales,
Customer Analytics,
Customer Engagement,
Customer Experience,
Marketing,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Data Governance,
Data Integration,
Data Preparation,
Internet of Things,
Contact Center,
Digital Technology,
Digital Marketing,
Digital Commerce,
Cybersecurity,
Billing and Recurring Revenue,
collaboration for business,
mobile marketing
Advancing the potential of any business requires continuous improvement in the processes and technology that support it. Many companies have embraced attempts at a digital transformation, and it’s become a goal to which organizational resources and budgets have been dedicated around the globe.
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Topics:
Big Data,
Data Science,
Mobile,
Sales,
Customer Analytics,
Customer Engagement,
Customer Experience,
Human Capital Management,
Machine Learning,
Marketing,
Marketing Performance Management,
Mobile Technology,
Office of Finance,
Wearable Computing,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Customer Service,
Data Governance,
Data Integration,
Data Preparation,
Internet of Things,
Contact Center,
Information Optimization,
Product Information Management,
Digital Technology,
Digital Marketing,
Digital Commerce,
Operations & Supply Chain,
Machine Learning and Cognitive Computing,
Pricing and Promotion Management,
Cybersecurity,
Billing and Recurring Revenue,
Workforce Optimization,
collaboration for business
If we look at the focus of technology vendors for analytics and business intelligence or business applications providers deploying these capabilities in the last five years, we see that they have elevated the importance on the value of visualization and dashboards. These promotions might be understandable, but will they make business and the people using them more intelligent?
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Topics:
Big Data,
Data Science,
Mobile,
Machine Learning,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology,
Machine Learning and Cognitive Computing