The work environment today demands that your organization advances the efficiency to execute business processes for continuous operations to have a positive impact on business performance. The capability to be responsive to any range of minor to disruptive business events is required to support business continuity and level of organizational readiness to meet the needs of digital business. Ventana Research asserts that in 2025, one-quarter of organizations will remain digitally ineffective in...
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Topics:
Customer Experience,
Voice of the Customer,
embedded analytics,
Analytics,
Business Intelligence,
Cloud Computing,
Contact Center,
Data,
Digital Technology,
Operations & Supply Chain,
Enterprise Resource Planning,
Digital transformation,
natural language processing,
continuous supply chain,
agent management,
Digital Business,
Experience Management,
Field Service,
Process Mining,
Streaming Analytics,
AI and Machine Learning
When artificial intelligence emerged from the labs and vendors started offering it as a component of their software, many contact-center buyers shied away from it. From their point of view, AI and machine learning tools were new, expensive, relatively untested and had an uncertain use case. This stance was understandable, as contact center professionals are traditionally expected to be risk-averse when deploying technology into their operations. Contact centers are, by design, supposed to be...
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Topics:
Customer Experience,
Voice of the Customer,
Analytics,
Contact Center,
agent management,
Customer Experience Management,
Field Service,
customer service and support,
AI and Machine Learning
Access to external data can provide a competitive advantage. Our research shows that more than three-quarters (77%) of participants consider external data to be an important part of their machine learning (ML) efforts. The most important external data source identified is social media, followed by demographic data from data brokers. Organizations also identified government data, market data, environmental data and location data as important external data sources. External data is not just part...
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Topics:
Analytics,
Business Intelligence,
Internet of Things,
Data,
Digital Technology,
Lease Management,
Streaming Data,
Streaming Analytics,
AI and Machine Learning
Alteryx is a data analytics software company that offers data preparation and analytics tools to simplify and automate data wrangling, data cleaning and modeling processes, enabling line-of-business personnel to quickly access, manipulate, analyze and output data. The platform features tools to run a variety of analytic functions such as diagnostic, predictive, prescriptive and geospatial analytics in a unified platform, and can connect to various data warehouses, cloud applications,...
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Topics:
embedded analytics,
Analytics,
Business Intelligence,
Collaboration,
Data Preparation,
Data,
AI and Machine Learning
Collibra is a data governance software company that offers tools for metadata management and data cataloging. The software enables organizations to find data quickly, identify its source and assure its integrity. Line-of-business workers can use it to create, review and update the organization's policies on different data assets. Collibra’s software uses a microservice architecture and open application programming interfaces to connect to various data ecosystems. Its data intelligence cloud...
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Topics:
Analytics,
Business Intelligence,
Data Governance,
Data Preparation,
Information Management,
Data,
data lakes,
AI and Machine Learning
Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions. The product features fact boards, annotations and the ability to share facts and analysis across teams. Data teams and analysts start by creating common definitions of key performance...
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Topics:
business intelligence,
embedded analytics,
Analytics,
Collaboration,
Data,
AI and Machine Learning
Subscription management and billing services help organizations offer unique benefits and enhance delivery to customers. By making services more personalized, organizations can acquire – and retain – more customers.
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Topics:
Sales,
Office of Finance,
Continuous Planning,
embedded analytics,
Analytics,
Business Intelligence,
Business Planning,
Product Information Management,
Digital Commerce,
Operations & Supply Chain,
Enterprise Resource Planning,
ERP and Continuous Accounting,
natural language processing,
revenue and lease accounting,
continuous supply chain,
Subscription Management,
partner management,
digital finance,
Process Mining,
Streaming Analytics,
supplier relationship management,
AI and Machine Learning
Customer support operations increasingly rely on automation and complex workflow processes to reduce costs and improve experiences. Automation also allows organizations to make their service processes richer, incorporating information and staff from back offices, for example, or embedding conversational tools into contact center processes.
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Topics:
Customer Experience,
embedded analytics,
Analytics,
Contact Center,
natural language processing,
agent management,
Customer Experience Management,
Field Service,
Process Mining,
Streaming Analytics,
customer service and support,
AI and Machine Learning
Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization. Rapidminer Studio is its visual workflow designer for the creation of predictive models. It offers more than 1,500 algorithms and functions in their library, along with templates, for...
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Topics:
embedded analytics,
Analytics,
Business Intelligence,
Collaboration,
Data Preparation,
Data,
data lakes,
AI and Machine Learning
Confluent Platform is a streaming platform built by the original creators of Apache Kafka. It enables organizations to organize and manage streaming data from various sources. Confluent launched its IPO in June this year and raised $828 million to further expand its business. Confluent Platform was brought to several public cloud vendor marketplaces last year as Confluent Cloud. The offering is currently available in Azure, AWS, and GCP marketplaces. Furthermore, the company strengthened its...
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Topics:
embedded analytics,
Analytics,
Business Intelligence,
Collaboration,
Data,
AI and Machine Learning