TIMi Features

Reports (5)

Reports Interface: Reports interface for standard and self-service reports is intuitive and easy to use. This feature was mentioned in 18 TIMi reviews.
Steps to Answer: As reported in 23 TIMi reviews. Requires a minimal number of steps/clicks to answer business question.
Graphs and Charts: Offers a variety of attractive graph and chart formats. This feature was mentioned in 21 TIMi reviews.
Score Cards: As reported in 16 TIMi reviews. Score cards visually track KPI's.
Dashboards: Based on 19 TIMi reviews. Provides business users an interface to easily design, refine and collaborate on their dashboards

Self Service (5)

Calculated Fields: Based on 26 TIMi reviews. Using formulas based on existing data elements, users can create and calculate new field values.
Data Column Filtering: Business users have the ability to filter data in a report based on predefined or automodeled parameters. This feature was mentioned in 24 TIMi reviews.
Data Discovery: Users can drill down and explore data to discover new insights. This feature was mentioned in 27 TIMi reviews.
Search: Based on 24 TIMi reviews. Ability to search global data set to find and discover data.
Collaboration / Workflow: Based on 19 TIMi reviews. Ability for users to share data and reports they have built within the BI tool and outside the tool through other collaboration platforms.

Advanced Analytics (3)

Predictive Analytics: Analyze current and historical trends to make predictions about future events. This feature was mentioned in 27 TIMi reviews.
Data Visualization: Communicate complex information clearly and effectively through advanced graphical techniques. This feature was mentioned in 20 TIMi reviews.
Big Data Services: Ability to handle large, complex, and/or siloed data sets. This feature was mentioned in 24 TIMi reviews.

Building Reports (4)

Data Transformation: Converts data formats of source data into the format required for the reporting system without mistakes. 23 reviewers of TIMi have provided feedback on this feature.
Data Modeling: Ability to (re)structure data in a manner that allows extracting insights fast and accurate. This feature was mentioned in 22 TIMi reviews.
WYSIWYG Report Design: As reported in 14 TIMi reviews. Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get)
Integration APIs: Based on 19 TIMi reviews. Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc with other software applications.

Statistical Tool (3)

Data Analysis (2)

Decision Making (4)

Model Development (5)

Language Support: Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript This feature was mentioned in 12 TIMi reviews.
Drag and Drop: Offers the ability for developers to drag and drop pieces of code or algorithms when building models This feature was mentioned in 13 TIMi reviews.
Pre-Built Algorithms: Provides users with pre-built algorithms for simpler model development This feature was mentioned in 13 TIMi reviews.
Model Training: As reported in 14 TIMi reviews. Supplies large data sets for training individual models
Feature Engineering: Transforms raw data into features that better represent the underlying problem to the predictive models 12 reviewers of TIMi have provided feedback on this feature.

Machine/Deep Learning Services (4)

Deployment (3)

Database (3)

Real-Time Data Collection: Collects, stores, and organizes massive, unstructured data in real time 14 reviewers of TIMi have provided feedback on this feature.
Data Distribution: Facilitates the disseminating of collected big data throughout parallel computing clusters This feature was mentioned in 15 TIMi reviews.
Data Lake: As reported in 13 TIMi reviews. Creates a repository to collect and store raw data from sensors, devices, machines, files, etc.

Integrations (2)

Platform (3)

Processing (2)

Data Source Access (3)

Breadth of Data Sources: As reported in 27 TIMi reviews. Provides a wide range of possible data connections, including cloud applications, on-premise databases, and big data distributions, among others
Ease of Data Connectivity: Allows businesses to easily connect to any data source 26 reviewers of TIMi have provided feedback on this feature.
API Connectivity: Offers API connections for cloud-based applications and data sources 18 reviewers of TIMi have provided feedback on this feature.

Data Interaction (8)

Profiling and Classification: Based on 20 TIMi reviews. Permits profiling of data sets for increased organization, both by users and machine learning
Metadata Management: Based on 21 TIMi reviews. Indexes metadata descriptions for easier searching and enhanced insights
Data Modeling: Tools to (re)structure data in a manner that enables quick and accurate insight extraction 24 reviewers of TIMi have provided feedback on this feature.
Data Joining: Based on 26 TIMi reviews. Allows self-service joining of tables
Data Blending: Provides the ability to combine data sources into one data set This feature was mentioned in 25 TIMi reviews.
Data Quality and Cleansing: Allows users and administrators to easily clean data to maintain quality and integrity 26 reviewers of TIMi have provided feedback on this feature.
Data Sharing: Offers collaborative functionality for sharing queries and data sets 20 reviewers of TIMi have provided feedback on this feature.
Data Governance: As reported in 21 TIMi reviews. Ensures user access management, data lineage, and data encryption

Data Exporting (3)

Breadth of Integrations: As reported in 23 TIMi reviews. Provides a wide range of possible integrations, including analytics, data integration, master data management, and data science tools
Ease of Integrations: Allows businesses to easily integrate with analytics, data integration, master data management, and data science tools This feature was mentioned in 24 TIMi reviews.
Data Workflows: Based on 24 TIMi reviews. Operationalizes data workflows to easily scale repeatable preparation needs

Administration (3)

Capabilities (4)

Data Visualization: Communicate complex information clearly and effectively through advanced graphical techniques.
Survival Analysis: Supports evaluation of durations, events, and reliability in relation to statistical analysis
Risk Data Attributes: Identify risk data attributes such as description, category, owner, or hierarchy.
Cost Analysis: Tools to analyze financial data in order to gain usable insights.

Methodology (3)

ANOVA Support: Supports analysis of variance (ANOVA) to determine observed variance. This feature was mentioned in 10 TIMi reviews.
Regression: As reported in 12 TIMi reviews. Supports various regression methods such as ordinary least squares (OLS), weighted least squares (WLS), or generalized linear model (GLM).
Time Series Analysis: As reported in 10 TIMi reviews. Supports the analysis of time series data for predictive analytics and exploratory analysis.

System (1)

Data Preparation (1)

Data Modeling and Blending (3)

Data Querying: As reported in 25 TIMi reviews. Using formulas based on existing data elements, users can create and calculate new field values
Data Filtering: Business users have the ability to filter data in a report based on predefined or automodeled parameters. This feature was mentioned in 25 TIMi reviews.
Data Blending: Based on 26 TIMi reviews. Allows the user to combine data from multiple sources into a functioning dataset.

Generative AI (10)

AI Text Generation: Allows users to generate text based on a text prompt.
AI Text Summarization: Condenses long documents or text into a brief summary.
AI Text Generation: Allows users to generate text based on a text prompt.
AI Text Summarization: Condenses long documents or text into a brief summary.
AI Text Generation: Allows users to generate text based on a text prompt.
AI Text Summarization: Condenses long documents or text into a brief summary.
AI Text Generation: Allows users to generate text based on a text prompt.
AI Text Generation: Allows users to generate text based on a text prompt.
AI Text Summarization: Condenses long documents or text into a brief summary.
AI Text-to-Image: Provides the ability to generate images from a text prompt.

Agentic AI - Analytics Platforms (7)

Autonomous Task Execution: Capability to perform complex tasks without constant human input
Multi-step Planning: Ability to break down and plan multi-step processes
Cross-system Integration: Works across multiple software systems or databases
Adaptive Learning: Improves performance based on feedback and experience
Natural Language Interaction: Engages in human-like conversation for task delegation
Proactive Assistance: Anticipates needs and offers suggestions without prompting
Decision Making: Makes informed choices based on available data and objectives

Agentic AI - Data Science and Machine Learning Platforms (7)

Autonomous Task Execution: Capability to perform complex tasks without constant human input
Multi-step Planning: Ability to break down and plan multi-step processes
Cross-system Integration: Works across multiple software systems or databases
Adaptive Learning: Improves performance based on feedback and experience
Natural Language Interaction: Engages in human-like conversation for task delegation
Proactive Assistance: Anticipates needs and offers suggestions without prompting
Decision Making: Makes informed choices based on available data and objectives

Deployment & Integration - Analytics Platforms (4)

No-code Dashboard Builder: Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces
Report Scheduling and Automation: Enables automated report generation and scheduled delivery to stakeholders
Embedded Analytics and White-labeling: Allows dashboards and analytics to be embedded into external apps with branding flexibility
Data Source Connectivity: Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications

Performance & Scalability - Analytics Platforms (2)

Advanced Analytics & Modeling - Analytics Platforms (3)

Agentic AI Capabilities - Analytics Platforms (4)

Auto-generated Insights and Narratives: Uses AI to generate textual summaries, key takeaways, and data stories from dashboards
Natural Language Queries: Allows users to query data and build reports using conversational or plain language
Proactive KPI Monitoring and Alerts: Detects and notifies users about KPI anomalies or significant metric changes in real time
AI Agents for Analytical Follow-ups: Recommends next questions, analyses, or exploration paths using autonomous AI agents

Personalized Intelligence - Analytics Platforms (3)

Behavioral Learning for Contextual Query Refinement: Learns from historical user interactions to improve and personalize query results over time
Role-based Insight Personalization: Tailors dashboard views and suggestions based on user roles, access levels, and past behavior
Conversational and Prompt-based Analytics: Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying