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
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
The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations to advance business and IT.
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Topics:
Analytics,
Business Intelligence,
Collaboration,
Data Governance,
Data Preparation,
Information Management,
Data,
Digital Technology,
blockchain,
data lakes,
AI and Machine Learning
The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations to advance business and IT.
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Topics:
Voice of the Customer,
Collaboration,
Data Governance,
Data Preparation,
Information Management,
Data,
Product Information Management,
Digital Marketing,
Digital Commerce,
blockchain,
data lakes,
intelligent marketing
The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations to advance business and IT.
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Topics:
Customer Experience,
Human Capital Management,
Marketing,
Office of Finance,
Voice of the Customer,
Continuous Planning,
embedded analytics,
Learning Management,
Analytics,
Business Intelligence,
Collaboration,
Data Governance,
Data Preparation,
Information Management,
Internet of Things,
Business Planning,
Contact Center,
Data,
Product Information Management,
Sales Performance Management,
Workforce Management,
Financial Performance Management,
Price and Revenue Management,
Digital Technology,
Digital Marketing,
Digital Commerce,
Operations & Supply Chain,
Enterprise Resource Planning,
ERP and Continuous Accounting,
Revenue,
blockchain,
natural language processing,
data lakes,
Total Compensation Management,
robotic finance,
Predictive Planning,
employee experience,
candidate engagement,
Conversational Computing,
Continuous Payroll,
collaborative computing,
mobile computing,
continuous supply chain,
Subscription Management,
agent management,
extended reality,
intelligent marketing,
sales enablement,
work experience management,
lease and tax accounting,
robotic automation,
AI and Machine Learning
Everyone talks about data quality, as they should. Our research shows that improving the quality of information is the top benefit of data preparation activities. Data quality efforts are focused on clean data. Yes, clean data is important. but so is bad data. To be more accurate, the original data as recorded by an organization’s various devices and systems is important.
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Topics:
Data Governance,
Data Preparation,
Data,
Information Management (IM),
data lakes
The amount of data flowing into organizations is growing exponentially, creating a need to process more data more quickly than ever before. Our Data Preparation Benchmark Research shows that accessing and preparing data continues to be the most time-consuming part of making data available for analysis. This can potentially slow down the organizational functions which depend on the analysis results. Trying to get ahead of the backlog with incremental improvements to existing approaches and...
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Topics:
business intelligence,
embedded analytics,
Analytics,
Collaboration,
Data Governance,
Data Preparation,
Data,
Information Management (IM),
data lakes
Ventana Research recently announced its 2021 Market Agenda for data, continuing the guidance we have offered for nearly two decades to help organizations derive optimal value and improve business outcomes.
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Topics:
Data Governance,
Data Preparation,
Information Management,
Data,
data lakes,
Streaming Data,
data operations,
Event Data,
Data catalog,
Event Streams,
Event Stream Processing
Data is becoming more valuable and more important to organizations. At the same time, organizations have become more disciplined about the data on which they rely to ensure it is robust, accurate and governed properly. Without data integrity, organizations cannot trust the information produced by their data processes, and will be discouraged from using that data, resulting in inefficiencies and reduced effectiveness.
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Topics:
business intelligence,
Analytics,
Data Governance,
Data Preparation,
Information Management,
Data,
data lakes
Organizations are dealing with exponentially increasing data that ranges broadly from customer-generated information, financial transactions, edge-generated data and even operational IT server logs. A combination of complex data lake and data warehouse capabilities are required to leverage this data. Our research shows that nearly three-quarters of organizations deploy both data lakes and data warehouses but are using a variety of approaches which can be cumbersome. A single platform that can...
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Topics:
PROS Pricing,
embedded analytics,
Analytics,
Business Intelligence,
Collaboration,
Data Governance,
Data Preparation,
Information Management,
Data,
data lakes,
AI and Machine Learning