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
Ensuring that the sales organization contributes as fully as possible to the success of the organization — to revenue, growth, prof itability 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,
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 and Machine Learning
The traditional office of finance has five main organs: accounting keeps the books; financial planning and analysis (FP&A) analyzes performance and manages the forward-looking activities of the company such as planning, budgeting and forecasting; corporate finance raises outside money; treasury takes care of the cash and bank accounts, and tax. The modern office of finance requires a sixth: Finance IT (FIT).
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Topics:
Office of Finance,
Analytics,
Financial Performance Management,
Price and Revenue Management,
Digital Technology,
Operations & Supply Chain,
ERP and Continuous Accounting,
blockchain,
robotic finance,
Predictive Planning,
Conversational Computing,
revenue and lease accounting,
collaborative computing,
Subscription Management,
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
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
The emerging internet of things (IoT) is an extension of digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere. This innovation means that virtually any appropriately designed device can generate and transmit data about its operations, which can facilitate monitoring and a range of automatic functions. To do this IoT requires a set of event-centered information and analytic processes that enable people to use that event information to make...
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Topics:
business intelligence,
embedded analytics,
Analytics,
Collaboration,
Internet of Things,
Data,
Information Management (IM),
Digital Technology,
data lakes,
AI and Machine Learning
Organizations now must store, process and use data of significantly greater volume and variety than in the past. These factors plus the velocity of data today — the unrelentingly rapid rate at which it is generated, both in enterprise systems and on the internet — add to the challenge of getting the data into a form that can be used for business tasks.
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Topics:
Analytics,
Business Intelligence,
Data Governance,
Data Preparation,
Information Management,
Internet of Things,
Data,
Digital Technology,
blockchain,
data lakes,
AI and Machine Learning