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Insycle Features

What are the features of Insycle?

Functionality

  • Identification
  • Correction
  • Normalization
  • Preventative Cleaning
  • Data Matching

Management

  • Reporting
  • Automation
  • Quality Audits
  • Dashboard
  • Governance

Filter for Features

Lead Intelligence

Market Insights

Provides tools that help identify key topics that are trending, as well as the content that customers are more likely to engage with.

Not enough data

Account-level Insights

Helps determine the correlation between ad exposure and site visits, assets downloaded, content, leads generated, etc.

Not enough data

Lead Analysis

Prioritizes leads through lead scoring, market insights, account-level insights, etc.

Not enough data

Lead Management

Segmentation

Provides customer and prospect segmentation capabilities, which in turn assists marketing prioritization and effectiveness.

Not enough data

Predictive Scoring

Automatically scores prospects based on behavior and engagement levels.

Not enough data

Account Identification

Helps identify and distribute accounts internally, giving prioritization to those that are more likely to convert to sales.

Not enough data

Marketing Campaigns

Omni-Channel Tracking

Provides tracking across multiple digital advertising channels, such as video, mobile, and social media.

Not enough data

Revenue Planning

Helps allocate marketing budget based predicted amount of incoming revenue.

Not enough data

Media Attribution

Assists in the attribution of marketing budget by identifying successful campaigns and initiatives.

Not enough data

Opportunity Timeline

Provides a timeline to visualize the effects of individual campaigns, leads, and other opportunities.

Not enough data

Customization

Allows for custom report types to match the goals of a company.

Not enough data

Campaign Execution

Website Personalization

Provides tools that dynamically serve content, messaging, and calls-to-action.

Not enough data

Prioritized Accounts

Helps determine which accounts have the highest/lowest opportunity to convert.

Not enough data

Trending Accounts

Helps determine the direction of each individual account and how to engage through specific content.

Not enough data

Email Campaigns

Connects sales emails with cross-sell/upsell marketing campaigns across multiple channels.

Not enough data

Functionality

Identification

Based on 82 Insycle reviews. Correctly identify inaccurate, incomplete, or duplicated data from a data source.
89%
(Based on 82 reviews)

Correction

Utilize deletion, modification, appending, merging, or other methods to correct bad data. This feature was mentioned in 86 Insycle reviews.
91%
(Based on 86 reviews)

Normalization

Standardize data formatting for uniformity and easier data usage. 82 reviewers of Insycle have provided feedback on this feature.
90%
(Based on 82 reviews)

Preventative Cleaning

As reported in 82 Insycle reviews. Clean data as it enters the data source to prevent mixing bad data with cleaned data.
90%
(Based on 82 reviews)

Data Matching

Based on 81 Insycle reviews. Finds duplicates using the fuzzy logic technology or an advance search feature.
91%
(Based on 81 reviews)

Management

Reporting

As reported in 74 Insycle reviews. Provide follow-up information after data cleanings through a visual dashboard or reports.
83%
(Based on 74 reviews)

Automation

Automatically run data identification, correction, and normalization on data sources. This feature was mentioned in 83 Insycle reviews.
94%
(Based on 83 reviews)

Quality Audits

Based on 74 Insycle reviews. Schedule automated audits to identify data anomalies over time based on set business rules.
87%
(Based on 74 reviews)

Dashboard

Based on 80 Insycle reviews. Gives a view of the entire data quality management ecosystem.
80%
(Based on 80 reviews)

Governance

Allows user role-based access and actions to authorization for specific tasks. 66 reviewers of Insycle have provided feedback on this feature.
83%
(Based on 66 reviews)

Hierarchy Management

Captures and manages data hierarchy and definitions.

Not enough data

Reference Data Management

Helps integrate external and internal reference data such as industry codes, entity identifiers, country codes etc used to categorize information across systems.

Not enough data

Data Lineage

Helps understand the origination and route of data along with the transformations happening across various domains.

Not enough data

Metadata Management

Provides context and information for data assets stored across domains and ensures adherence to established policies and processes.

Not enough data

Matching

Priority Matching

Allows users to prioritize matches based on criteria such as region, account attributes, and other customer information.

Not enough data

Account Tiebreakers

Provides tiebreaking features when leads match to multiple accounts.

Not enough data

Fuzzy Matching

Provides matching logic features for special characters, acronyms, and other complex names.

Not enough data

Routing

Match and Route

Automatically routes matched leads directly to account owners.

Not enough data

Multi-Objects

Allows users to build custom routing rules.

Not enough data

Territories

Allows users to assign leads to selected territories and regions.

Not enough data

Working Hours

Allows users to configure schedules so leads are routed only during working hours.

Not enough data

Platform Operations

Service level Agreements

Allows users to configure service level agreements so leads get matched and routed as fast as possible.

Not enough data

Audit Logs

Provides features to audit any leads that were misrouted to incorrect accounts.

Not enough data

Duplicate Match

Provides features to quickly audit leads and identify if there are duplicate leads in multiple accounts.

Not enough data

Capping

Limits the number of leads to assign to sales reps.

Not enough data

Analytics

Provides analytics for tracking and monitoring routing.

Not enough data

Integrations

Provides integrations for CRMs and marketing automation platforms.

Not enough data

Functionality

Multi-Domain

Centralizes the management of multiple domains of master data which includes product, customer, vendor, asset, location and pricing.

Not enough data

Match & Merge

Matches master data records and merges them into a single accurate record across source systems.

Not enough data

Relationship Mapping

Shows relationships between records and entries, defined in a repository model.

Not enough data

User Interface

Provides a simple customizable design environment to develop custom UIs using simple drag and drop actions.

Not enough data

Security

Data Governance

Encompasses of policies, principles and qualities to promote access to accurate and certified master data.

Not enough data

Data Masking

Helps mask or hide critical information to prevent unauthorized access.

Not enough data