Ventana Research recently announced its 2020 research agenda for data, continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value and improve business outcomes. Data volumes continue to grow while data latency requirements continue to shrink. Meanwhile, virtually every organization is confronting a need for good data governance.
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Topics:
Collaboration,
Data Governance,
Data Preparation,
Information Management,
Data,
blockchain,
data lakes
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 and 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 and Machine Learning
Configure, price and quote (CPQ) software has been around for decades. Lately, I’ve been using the term “Dynamic CPQ” to apply to a variant of this software category that explicitly aims to produce a quote that optimizes the trade-off between the profitability of a deal and the probability of closing a sale. Dynamic CPQ software is a hybrid of price and revenue optimization (PRO) software and CPQ, providing companies with the ability to better execute their market share and pricing strategies....
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Topics:
Customer Experience,
Office of Finance,
Data Preparation,
Information Management,
Sales Performance Management,
Financial Performance Management,
Price and Revenue Management,
robotic finance,
revenue and lease accounting,
sales enablement
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 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,
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 and 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 and Machine Learning
Organizations’ use of data and information is evolving as the amount of data and the frequency with which that data is collected increase. Data now streams into organizations from myriad sources, among them social media feeds and internet-of-things devices. These seemingly ever-increasing volumes of devices and data streams offer both challenges and opportunities to capture information about a business and improve its operations.
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Topics:
business intelligence,
embedded analytics,
Analytics,
Collaboration,
Data Lake,
Information Management,
Internet of Things,
Data,
Digital Technology,
AI and Machine Learning
“Platform,” as used in the world of technology, originally referred to an operating system on which one could construct software applications. More recently, its usage has been expanded to apply to two types of business models. One enables third parties to create products and services that are complementary to a company’s core technology. For instance, both Apple and Salesforce have attracted a wide array of third-party software developers whose offerings greatly increase the value of each...
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Topics:
Human Capital Management,
Marketing,
Office of Finance,
Voice of the Customer,
Continuous Planning,
Information Management,
Internet of Things,
Workforce Management,
Financial Performance Management,
Price and Revenue Management,
Digital Marketing,
Digital Commerce,
Operations & Supply Chain,
Enterprise Resource Planning,
ERP and Continuous Accounting,
robotic finance,
Predictive Planning,
revenue and lease accounting,
collaborative computing,
mobile computing,
Subscription Management
It’s no secret that employees are overwhelmed. They’re having to use an array of systems and enterprise tools in the flow of work and deal with an explosion of email messages and other communications requiring some response or action and mountains of content to consume and retain. On top of these time demands, employees must try to keep up with a staggering amount of organizational change.
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Topics:
Human Capital Management,
business intelligence,
Learning Management,
Information Management,
Workforce Management,
Digital Technology,
natural language processing,
AI and Machine Learning