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features
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support

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Description

Cognos Analytics with Watson brings BI to a new level with AI capabilities that provide a complete, trustworthy, and complete picture of your company. They can forecast the future, predict outcomes, and explain why they might happen. Built-in AI can be used to speed up and improve the blending of data or find the best tables for your model. AI can help you uncover hidden trends and drivers and provide insights in real-time. You can create powerful visualizations and tell the story of your data. You can also share insights via email or Slack. Combine advanced analytics with data science to unlock new opportunities. Self-service analytics that is governed and secures data from misuse adapts to your needs. You can deploy it wherever you need it - on premises, on the cloud, on IBM Cloud Pak®, for Data or as a hybrid option.

Description

Zerve is the agentic data workspace designed for anyone who works with data, from solo analysts, data scientists and business users alike. Zerve brings together exploration, advanced analysis, collaboration, and production deployment into a single AI-native environment, so that important data work doesn’t stall, break, or disappear. Zerve is used by data professionals in companies such as BBC, QVC, Dun & Bradstreet, Airbus, and many others. Zerve makes advanced data work accessible, durable, and deployable from day one, starting with the messy, real-world data most projects begin with. At the heart of Zerve is a new way for humans and AI agents to work together. Zerve’s AI agents understand the full context of a project and actively help plan, build, debug, and iterate across multi-step analyses. Agents can assist with tasks like cleaning and transforming data, identifying issues, and testing approaches, reducing the manual effort that slows teams down. This means working at a higher level of abstraction without being slowed by setup or syntax. With Zerve, you always have an expert data scientist at your side, guiding decisions, suggesting next steps, and taking action. Unlike traditional data notebooks, workflows in Zerve are reproducible and stable. Users can work across Python, SQL, and R in a single workspace, connect directly to databases, data lakes, and warehouses, and integrate with Git for version control. The built-in distributed computing engine powers massively parallel execution for large-scale analysis, simulations, and AI workloads, with multi-agent orchestration coordinating complex pipelines behind the scenes. Zerve can be used as SaaS, self-hosted, or even on-premise for regulated environments.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

MariaDB Yes 
SQL Yes 
Amazon API Gateway No 
Amazon Athena Yes 
Cloudera Yes 
DataTrust Yes 
Desktop.com Yes 
GreenCommerce Yes 
IBM DevOps Deploy Yes 
IBM Netezza Performance Server Yes 
IRI Voracity Yes 
Integrify Yes 
Key Survey Yes 
LivePreso Yes 
Longview Tax Yes 
Oracle Maxymiser Yes 
PostgreSQL No 
QuerySurge Yes 
Scal-e Yes 
Snowflake No 

Integrations

MariaDB Yes 
SQL Yes 
Amazon API Gateway Yes 
Amazon Athena No 
Cloudera No 
DataTrust No 
Desktop.com No 
GreenCommerce No 
IBM DevOps Deploy No 
IBM Netezza Performance Server No 
IRI Voracity No 
Integrify No 
Key Survey No 
LivePreso No 
Longview Tax No 
Oracle Maxymiser No 
PostgreSQL Yes 
QuerySurge No 
Scal-e No 
Snowflake Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$0
Pro $20/mo, Team $40/mo, Enterprise custom pricing.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/cognos-analytics/var/

Vendor Details

Company Name

Zerve AI

Founded

2023

Country

Ireland

Website

www.zerve.ai/

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

Business Intelligence

Ad Hoc Reports Yes 
Benchmarking Yes 
Budgeting & Forecasting No 
Dashboard Yes 
Data Analysis Yes 
Key Performance Indicators Yes 
Natural Language Generation (NLG) No 
Performance Metrics Yes 
Predictive Analytics No 
Profitability Analysis No 
Strategic Planning No 
Trend / Problem Indicators Yes 
Visual Analytics Yes 

Dashboard

Annotations No 
Data Source Integrations No 
Functions / Calculations No 
Interactive No 
KPIs No 
OLAP No 
Private Dashboards No 
Public Dashboards No 
Scorecards No 
Themes No 
Visual Analytics No 
Widgets No 

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Data Cleansing

Address/ZIP Code Cleaning No 
Charting No 
Data Consolidation / ETL No 
Data Mapping No 
Multi Data Format Support No 
Phone/Email Validation No 
Raw Data Ingestion No 
Sample Testing No 
Validation / Matching / Reconciliation No 

Data Discovery

Contextual Search No 
Data Classification No 
Data Matching No 
False Positives Reduction No 
Self Service Data Preparation No 
Sensitive Data Identification No 
Visual Analytics No 

Data Preparation

Collaboration Tools No 
Data Access No 
Data Blending No 
Data Cleansing No 
Data Governance No 
Data Mashup No 
Data Modeling No 
Data Transformation No 
Machine Learning No 
Visual User Interface No 

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

Insight Engines

AI / Machine Learning No 
Augmented Analytics No 
Data Aggregation No 
Data Classification No 
Data Extraction No 
Data Source Connectors No 
Full Text Search No 
Intent Recognition No 
Multiple Data Sources No 
Search / Filter No 
Sentiment Analysis No 

Marketing Analytics

A/B Testing No 
Campaign Management No 
Channel Attribution No 
Customer Journey Mapping No 
Dashboard No 
Performance Metrics No 
Predictive Analytics No 
ROI Tracking No 
Social Media Metrics No 
Website Analytics No 

Reporting

Customizable Dashboard Yes 
Data Source Connectors No 
Drag & Drop No 
Drill Down No 
Email Reports No 
Financial Reports No 
Forecasting Yes 
Marketing Reports No 
OLAP No 
Report Export Yes 
Sales Reports No 
Scheduled / Automated Reports No 

Sales Analytics

Collaboration Tools No 
Dashboards No 
Forecasting Analytics No 
Ideal Customer Profile (ICP) No 
Lead Analytics No 
Pipeline Management No 
Predictive Forecasting No 
Predictive Lead Scoring No 
Sales Intelligence Reporting No 

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Data Science

Access Control Yes 
Advanced Modeling Yes 
Audit Logs Yes 
Data Discovery Yes 
Data Ingestion Yes 
Data Preparation Yes 
Data Visualization Yes 
Model Deployment Yes 
Reports Yes 

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

Machine Learning

Deep Learning Yes 
ML Algorithm Library Yes 
Model Training Yes 
Natural Language Processing (NLP) Yes 
Predictive Modeling Yes 
Statistical / Mathematical Tools Yes 
Templates Yes 
Visualization Yes 

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