Today’s businesses must manage a continually expanding array of data, content and digital assets as well as satisfy the demands of consumers for comprehensive product information. Addressing these challenges requires unified processes and automated systems and, most importantly, the ability to augment and enrich product information. Our earlier PIM research found that more than half (52%) of organizations have incompatible tools and almost half (48%) must cope with disparate forms of data....
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Topics:
Sales,
Customer Experience,
Marketing,
PIM,
Digital Technology,
Operations & Supply Chain,
Intelligent CX,
product experience management,
PXM
Supercharging the customer experience (CX) is more than just an opportunity. It’s essential for every organization that looks to optimize engagement at every moment of the customer journey. In times such as these, when business continuity is a top priority, organizations must address the customer experience, especially if it has not been a focal point of the executive team.
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Topics:
Sales,
Customer Experience,
Human Capital Management,
Marketing,
Office of Finance,
Voice of the Customer,
Analytics,
Collaboration,
Data Governance,
Data Preparation,
Information Management,
Internet of Things,
Contact Center,
Data,
Digital Technology,
Digital Commerce,
Operations & Supply Chain,
Intelligent CX,
Conversational Computing
For interactions with customers to go well, organizations must manage an ever-increasing array of engagement channels. Our research finds that organizations expect to see interaction volumes increase on all channels, especially digital ones such as text-based messaging, chat, mobile and social apps. Unfortunately, the systems that manage these channels are typically disparate and uncoordinated and may not use the same underlying technology. This makes it difficult for organizations to...
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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,
Subscription Management,
agent management,
extended reality,
AI & Machine Learning
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,
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,
mobile computing,
Subscription Management,
agent management,
extended reality,
AI & 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 Lake,
Data Preparation,
Information Management,
Contact Center,
Data,
Digital Technology,
Digital Commerce,
blockchain,
natural language processing,
Intelligent CX,
Conversational Computing,
collaborative computing,
Subscription Management,
agent management,
extended reality,
AI & 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,
Internet of Things,
Contact Center,
Data,
Digital Commerce,
blockchain,
natural language processing,
data lakes,
Intelligent CX,
Conversational Computing,
collaborative computing,
mobile computing,
Subscription Management,
agent management,
extended reality,
AI & 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,
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,
Subscription Management,
agent management,
AI & Machine Learning
By itself, data isn’t useful for business; the application of analytics is necessary to transform data into actionable information. Data analysis of one sort or another has long been a core competence of finance departments, applied to balance sheets, income statements or cash flow statements. Today, however, Finance must go beyond these basics by expanding the scope of the data being examined to include all financial and operational information that can yield actionable insights. Analysis thus...
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Topics:
Customer Experience,
Human Capital Management,
Voice of the Customer,
embedded analytics,
Learning Management,
Analytics,
Business Intelligence,
Collaboration,
Data Governance,
Data Lake,
Data Preparation,
Information Management,
Internet of Things,
Contact Center,
Data,
Product Information Management,
Sales Performance Management,
Workforce Management,
Financial Performance Management,
Price and Revenue Management,
Digital Technology,
Digital Marketing,
Digital Commerce,
ERP and Continuous Accounting,
blockchain,
natural language processing,
robotic finance,
Predictive Planning,
candidate engagement,
Intelligent CX,
Conversational Computing,
Continuous Payroll,
revenue and lease accounting,
collaborative computing,
mobile computing,
Subscription Management,
total rewards management,
intelligent marketing,
intelligent sales,
AI & Machine Learning