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Datactics

by Datactics · Since 1999
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ActiveAvailable globallyCloud
Quick facts
VendorDatactics
Year launched1999
StatusActive
LocationUnit C1, Suite B, 2nd Floor Lanyon Quay, Belfast, United Kingdom
Countries servedGlobal
Languages13
Integrations18+
Free tierN/A
Free trialN/A
Contact salesYES

About Datactics

Datactics is an augmented data quality software from Datactics that delivers trust in the data. It combines AI automation, data readiness, and custom DQMatch so organizations can save time, reduce risk, and increase business revenue. This solution is designed for data innovators looking to achieve total data confidence by providing deep insights into data quality. Datactics also supports the public sector with tailored features, ensuring that critical data meets compliance and governance standards. Key capabilities: AI Automation Data Readiness Custom DQMatch DeepDive Public Sector Solutions Best for: organizations that need reliable data quality management to drive informed decision-making.

Datactics is a specialized data quality platform designed with a strong focus on regulated industries, particularly financial services and the public sector. Unlike one-size-fits-all data tools, it offers highly customized solutions tailored to organizations facing complex data governance, compliance, and cleansing challenges. The core value proposition of Datactics lies in its ability to deliver what it calls “total data confidence”—empowering users to profile, cleanse, match, and enrich data with a high degree of accuracy, speed, and contextual understanding. It is especially well-suited for enterprises that require regulatory compliance with frameworks such as FSCS, EMIR, or FATCA, and need to manage data quality at both operational and strategic levels. Functionality-wise, the platform covers a broad spectrum of data quality tasks. Its capabilities include powerful data profiling, intelligent cleansing, fuzzy data matching and deduplication, centralized rule management, and data enrichment. Unique to Datactics is its AI-Augmented Data Quality (ADQ) feature, which provides machine learning-driven business rule suggestions and predictive insights, even identifying error root causes and expected fix durations.

Pros & Cons

Pros
  • Tailored Solutions: Offers customizable data quality and matching tools, ideal for regulated industries and complex data environments.
  • Regulatory Readiness: The Data Readiness solution helps firms meet compliance standards like FSCS, FATCA, and EMIR with pre-built validation rules.
  • Custom DQMatch: Enables accurate deduplication and entity matching, enhancing decision-making and data product development.
  • GovTech Expertise: Supports public sector transparency and efficiency with secure, scalable platforms and security-cleared engineers.
  • Flexible Deployment: Offers cloud, on-premise, and air-gapped hosting options, including ISO-27001 certified environments.
  • Strong Client Advocacy: Endorsed by major institutions like NHS, Danske Bank, and Thomson Reuters for responsiveness and solution fit.
  • Human + Tech Approach: Combines powerful software with expert data engineers to co-create solutions—not just sell licenses.
Cons
  • No Public Pricing: Requires direct engagement for cost details, which may slow down procurement.
  • Enterprise Focus: May be overpowered or too complex for smaller organizations with basic data needs.
  • Learning Curve: Customization and rule-building may require onboarding or support from Datactics’ team.
  • Limited UI Previews: The platform’s interface and user experience are not clearly showcased in public materials.

Features

Key features

Tailored Data Confidence Solutions

Combines powerful technology with expert data engineers to create bespoke solutions for complex data challenges, going beyond off-the-shelf options.

Augmented Data Quality (AI/ML-Powered)

Leverages AI and ML to automate data quality processes, including rule suggestions, cleansing, profiling, and matching, enhancing efficiency and reducing manual effort.

Flexible Deployment & Hosting

Supports diverse infrastructure needs, offering cloud, on-premise, or air-gapped deployments, with data hosting in an ISO-27001 certified environment.

Custom Data Quality & Matching (DQMatch)

Provides highly accurate deduplication and matching for complex entity or instrument data, uniquely valuable for improving decision-making and creating data products.

Regulatory Data Readiness

Offers a specialized solution (Data Readiness) with pre-built rules and dashboards to validate data for compliance with data-driven regulations like FSCS, FATCA, and EMIR.

GovTech for Public Sector

Delivers a secure platform for data wrangling, classification, quality management, and matching, complemented by security-cleared data engineers to support transparency and efficiency.

Additional features

Powerful Technology

Utilizes robust underlying technology for data management.

Tailored Expertise

Provides seasoned data engineering experts to customize solutions.

Customized Solutions

Creates solutions specifically designed for unique data challenges.

Data Readiness Solution

Ensures data is compliant with data-driven regulations for financial services.

Validates Existing Internal Processes

Checks and verifies current data processes.

Identifies Undetected Issues

Uncovers hidden problems within data.

Highlights Potential Improvements

Suggests enhancements to data, people, and technology processes.

Flexible Hosting (Data Readiness)

Offers choices for where the Data Readiness solution is hosted.

Customization Options (Data Readiness)

Allows tailoring of the Data Readiness solution.

Custom Data Quality and Matching Capabilities (Custom DQMatch)

Provides bespoke deduplication and matching for complex data.

Accurate Deduplication

Eliminates duplicate records accurately.

Matching of Complex Entity/Instrument Data

Connects related records across various data types.

Improves Decision-Making

Enhances the quality of insights for better decisions.

Creates Valuable Data Products

Helps in generating refined and reliable data for use.

Augments Client Teams and Technology

Collaborates with and enhances client capabilities.

GovTech Solution

Supports public sector firms in improving transparency, efficiency, and service delivery.

Data Wrangling (GovTech)

Prepares and cleanses raw data for analysis.

Data Classification (GovTech)

Categorizes data based on its sensitivity or type.

Data Quality Management (GovTech)

Oversees and maintains the accuracy and consistency of data.

Data Matching (GovTech)

Links related data points across different sources.

Security-Cleared Data Engineers

Provides expert personnel with necessary security clearances.

Powerful, Customizable Data Quality & Matching Technology

Offers flexible and adaptable tools for data quality.

Flexible, Negotiable Pricing

Provides adaptable pricing structures.

Flexible Hosting Options

Supports Cloud, On-premise, and Air-gapped deployments.

ISO-27001 Certified Environment

Hosts data in a highly secure, certified environment.

Highly Experienced Data Engineers

Offers expert staff for solution configuration and implementation.

Proven Track Record

Demonstrates successful delivery to clients, particularly in regulated industries.

Automated Data Cleansing

Identifies and corrects errors in data.

Automated Data Quality Rule Suggestion

Uses NLP models to suggest data quality rules.

Data Profiling

Analyzes data to understand its structure, quality, and content.

Data Cleansing

Improves the quality of data by correcting errors and inconsistencies.

Data Matching

Identifies and links related data records from different sources.

Data De-duplication

Removes duplicate records to create a single, accurate view.

Self-Service Interface

Empowers business users to manage data quality without heavy IT reliance.

No-Code/Low-Code Approach

Allows users to design and implement rules without programming skills.

Real-Time Monitoring

Provides continuous oversight of data quality with alerts.

Regulatory Compliance Support

Ensures data meets standards for regulations like FSCS, FATCA, EMIR, and BCBS 239.

Scalability

Handles large volumes of data efficiently (fast 'in-memory' solution).

Master Data Management Integration

Integrates with MDM systems via various protocols (REST API, SOAP, etc.).

Data Enrichment

Enhances data with globally curated datasets (e.g., Experian, AddressBase).

Centralized Rules Management Hub

Manages data quality rules from a single location.

Data Quality Issues Management and Remediation Workflow

Manages and resolves data quality problems.

Data Quality Reporting and Advanced Insights

Provides dashboards and predictive insights into data quality.

Rapid Deployment

Enables quick setup and immediate insights (hours, not days/weeks).

Automated Record Categorization

Automatically classifies records.

Data Workflow Automation

Automates data-related processes.

Return Broken/Exception Data for Correction

Facilitates remediation by returning problematic data to owners.

Open, Documented API

Allows for integration with reporting tools (PowerBI, Qlik, Tableau) and other systems.

In-Memory Processing

Enables fast performance by processing data in RAM.

Data Security

Does not store copies of client data; processes in-memory and deletes automatically.

Audit Trail

Maintains records of data remediation and processes.

AI-Enabled Data Quality (ADQ)

Specifically highlights the AI components within its data quality offerings.

AI-Augmented DQ Research

Invests in research for AI-augmented data quality.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
13
Interface languages
3
Billing currencies

Interface languages

EnglishSpanishFrenchGermanItalianPortugueseChineseJapaneseKoreanRussianDutchArabicHindi.

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP

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