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IBM Data Science description
IBM Envizi is a suite of software tools designed to help your company manage its environmental impact. It helps you track and report on your greenhouse gas emissions (your company's carbon footprint), comply with environmental regulations, and find ways to reduce your impact. Think of it as a central hub for all your company's sustainability data, helping you make informed decisions and report your progress to stakeholders.
Who is IBM Data Science best for
IBM Envizi helps large organizations manage their environmental impact. It tracks emissions, ensures regulatory compliance, and identifies areas for reduced impact. Users praise its comprehensive data management and integration capabilities but note the complex setup and high cost.
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Best for medium to large enterprises seeking robust ESG data management.
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Ideal for software, telecommunications, retail, and manufacturing industries.
IBM Data Science features
Supported Helps accurately calculate, track and report on your Scope 1, 2 and 3 greenhouse gas (GHG) emissions data at a granular level. Set decarbonization targets, track progress towards emissions-reduction goals and identify areas to focus your emissions-reduction efforts. |
Supported Capture and manage all your ESG data in a single system of record and report with confidence knowing that your data is auditable and finance-grade. Made possible by a powerful engine that automates ESG data capture and tracks performance over time. |
Supported Automated data capture from utility bills, interval meters and renewable assets combined with other data sources to facilitate the ongoing monitoring, analysis, management and reporting of energy and emissions across large and complex organizations. |
Supported Automatically capture, transform and load disparate and diverse ESG data into a single authoritative system of record. |
Supported All data traced back to source files with an auditable record of changes made and data quality assessed and represented in dashboards. |
Supported Data tagging, workflow tools and embedded framework questions to enable reporting to multiple ESG frameworks from a single data source. |
Supported Analytics, AI-infused planning and forecasting and program management tools to support emissions reduction efforts. |
We evaluate the sentiment that users express about non-functional aspects of the software
Value and Pricing Transparency
Customer Service
Ease of Use
Reliability and Performance
Ease of Implementation
IBM Data Science reviews
We've summarised 397 IBM Data Science reviews (IBM Data Science G2 reviews) and summarised the main points below.
- Provides a comprehensive, integrated approach to data management.
- Unifies siloed data across projects into a central platform.
- Intuitive user interface facilitates data analysis and solution development.
- Offers seamless integration with Watson AI services and various data sources.
- Efficient for parallel/distributed data processing and advanced model building.
- Initial setup and configuration can be complex and time-consuming.
- Occasional updates disrupt ongoing workflows.
- Requires robust technical experience with IBM Cloud Services and a steep learning curve.
- Limited visualization options for charting and data analysis.
- High cost, especially for multiple users and advanced features.
IBM Data Science pricing
The commentary is based on 35 reviews from IBM Data Science G2 reviews.
IBM data science tools offer powerful features, but reviews frequently cite high costs and complex licensing as significant drawbacks. While users appreciate the robust functionality, pricing is often considered a barrier, especially for smaller businesses. Some find the cost justifiable due to the comprehensive tools and capabilities.
Users sentiment
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IBM Data Science FAQ
IBM Data Science is not mentioned in the provided product data. The product described is IBM Envizi, a suite of software tools designed to help companies manage their environmental impact, track emissions, and improve sustainability reporting. It helps organizations comply with environmental regulations and reduce their carbon footprint.
What is IBM Data Science and what does IBM Data Science do?
IBM Data Science is not mentioned in the provided product data. The product described is IBM Envizi, a suite of software tools designed to help companies manage their environmental impact, track emissions, and improve sustainability reporting. It helps organizations comply with environmental regulations and reduce their carbon footprint.
IBM Data Science seamlessly integrates with Watson AI services and various data sources. It also supports parallel/distributed data processing, enabling efficient advanced model building. However, initial setup and integration can be complex.
How does IBM Data Science integrate with other tools?
IBM Data Science seamlessly integrates with Watson AI services and various data sources. It also supports parallel/distributed data processing, enabling efficient advanced model building. However, initial setup and integration can be complex.
Alternatives to IBM Data Science include Microsoft Power Platform, Microsoft Azure Compute, and Microsoft Azure DevOps. These platforms offer diverse tools for data analysis, application development, and software delivery, catering to various business needs.
What the main competitors of IBM Data Science?
Alternatives to IBM Data Science include Microsoft Power Platform, Microsoft Azure Compute, and Microsoft Azure DevOps. These platforms offer diverse tools for data analysis, application development, and software delivery, catering to various business needs.
Yes, IBM Data Science, or IBM Envizi, is a legitimate ESG data management software. It's generally well-regarded for its comprehensive features and integration capabilities, though some users find the initial setup complex and the cost high. It is safe and commonly used by many businesses for regulatory compliance.
Is IBM Data Science legit?
Yes, IBM Data Science, or IBM Envizi, is a legitimate ESG data management software. It's generally well-regarded for its comprehensive features and integration capabilities, though some users find the initial setup complex and the cost high. It is safe and commonly used by many businesses for regulatory compliance.
I cannot find pricing information for IBM Data Science. Contact IBM directly for product pricing details and to determine if IBM Data Science is worth the investment for your data science needs.
How much does IBM Data Science cost?
I cannot find pricing information for IBM Data Science. Contact IBM directly for product pricing details and to determine if IBM Data Science is worth the investment for your data science needs.
Customer reviews on IBM Watson Studio mention helpful customer support resources like self-guided documentation and paid support options. However, some users have also reported slow response times and a need for improvement in support responsiveness. Experiences with customer service appear to vary.
Is IBM Data Science customer service good?
Customer reviews on IBM Watson Studio mention helpful customer support resources like self-guided documentation and paid support options. However, some users have also reported slow response times and a need for improvement in support responsiveness. Experiences with customer service appear to vary.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.
An AI tool that observes your work, finds inefficiencies, and suggests smarter ways to do things. Maybe you can use your tools better, automate tasks, or switch software.