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Modernize your analytics platform by integrating cloud-based Data Reconciliation, Data Quality and Data Observability tool to automatically detects 100% of all data quality issues with minimal human intervention using Al/ML

Our Solutions

AUTOMATE DATA RECONCILIATION

Connects to many sources and target systems and automates data reconciliation.

DATA ANOMALY DETECTION

Run SQLs on regular basis in your analytics platform, detects anomalies & create alerts.

AUTOMATE DATA TESTING

Automates ETL testing when you change code or copy data between systems.

IMPROVE DATA QUALITY

Enhances Data Quality and Builds trust in your data.

AUTOMATE DATABASE DEPLOYMENTS

Automates Schema Compare, Prepare Deployment Script & Integrate With Source Control.

PREVENT PIPELINE FAILURES

Create ER Diagram and Perform Schema Compare to Create Deployment Script.

GENERATE DB DEPLOYMENT SCRIPT

Centralize Data Masking rules & row access policy and access provisioning.

GIT AND DEVOPS INTEGRATION

Automates Schema Compare & Synch database with your Version Control tools.

DataQuality-Data Reconciliation-Monitoring-with-Governance-Controls

RECONCILE DATA AUTOMATICALLY AFTER EVERY DATA LOAD

After every data load into your analytics platform, even though ETL runs successfully, how can we be sure data in analytics platform reconciles with source system? 4DAlert’s AI/ML based API solution reconciles data between analytics platform and source systems and certifies the accuracy of the data. This helps to detect and alert before users complain about the data.

LEVERAGE DATA OBSERVABILITY AND MONITOR THE OVERALL HEALTH OF PLATFORM

4DAlert’s data observability module identifies and helps you troubleshoot and work to avert data-related issues across all data platforms within your analytics landscape. The solution leverages machine learning to generate adaptive rules and criteria, helps identify the root causes of the issues and fix systemic problems.

4DAlert Prevent data quality problems in analytics with early warnings.

DETECT DATA ANOMALY AND ALERT BEFORE USERS DETECT THE ISSUE

4DAlert’s data observability module identifies and helps you troubleshoot and work to avert data-related issues across all data platforms within your analytics landscape. The solution leverages machine learning to generate adaptive rules and criteria, helps identify the root causes of the issues and fix systemic problems.

AI/ML TO IMPROVE DATA QUALITY

In built AI/ML module leverages pre-built rule catalog to check data quality issues such as blank vs non-blank, unique vs non-unique, outlier detection, enumeration check, range check, address check, duplicate checks etc and calculate overall data quality index for the enterprise.

4DAlert Your Key to Reliable Data & Optimal Decision-Making Empower Data-Driven Strategies with Reliable Data via 4DAlert
AI/ML-driven data quality monitoring proactively identify and address data errors for optimal data use.

DATA RELIABILITY DELIVERED

Start building trust in your data. Be the first to know when data breaks before your users tell.

AUTOMATE CI/CD, SCHEMA COMPARE AND CHANGE DEPLOYMENT

The automated CI/CD, schema comparison and change deployment feature maintains consistent schemas across environments. It automatically compares and synchronizes database schemas, minimizing deployment errors and speeding up change rollouts.

AUTOMATE CICD, SCHEMA COMPARE AND CHANGE DEPLOYMENT

Streamlining Automated Data Reconciliation Across Different Scenarios with 4DAlert

Automated Source-to-Target Data Reconciliation

Data from multiple sources often mismatches between source and target. 4DAlert connects diverse data sources, using its AI/ML engine to automatically reconcile data and alert stakeholders via email, texts, and Slack.

4DAlert powered by AI and ML

Automated Data Reconciliation within Target with Historical Trend

When connecting to source systems isn't possible due to restrictions or rigidity, 4DAlert’s AI engine uses historical trends to detect data anomalies and reconciliation issues in new data.

Cross-System Data Comparison

Organizations struggle with syncing data across multiple systems. 4DAlert’s flexible architecture connects various systems and compares key data points to maintain consistency.

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Automating CI/CD pipeline with 4DALERT

Retrieve Object Comparison List to Identify Schema Differences

This step involves retrieving the object comparison list, which helps in identifying schema differences between versions, aiding in the deployment process.

 

Push DDL Changes to Source Control

In this step, the changes made to the Data Definition Language (DDL) are pushed to source control, ensuring that all modifications are properly tracked and versioned.

Push Data Definition Language (DDL) Changes to Source Control

Generate DDL for Schema Deployment

Execute Data Definition Language (DDL) to Apply Schema Changes

Generate Data Definition Language (DDL) for Schema Deployment

Execute Data Definition Language (DDL) to Apply Schema Changes

The final step involves executing the generated DDL to apply the necessary schema changes, completing the automated pipeline process.

Execute Data Definition Language (DDL) to Apply Schema Changes

An end-to-end solution for continuous integration and continuous delivery (CI/CD) for all database changes.

THE SOLUTION ENABLES AUTOMATIC DATABASE SCHEMA TO COMPARE BETWEEN DEV AND PRODUCTION OR DEVELOPMENT AND SOURCE CONTROL TOOLS SUCH AS GITHUB, DEVOPS, GITLAB, AND BITBUCKET GENERATE DEPLOYMENT “ALTER” SCRIPTS, MAKING THE PRODUCTION DEPLOYMENT PROCESS REPEATABLE AND ERROR-PRONE.
01

DATA ENGINEER

Create an automatic deployment script. Conduct automatic testing prior to production deployment. Collaborate among team members. Push code to source control tools such as GitHub, GitBucket, and GitLab.

02

CHIEF DATA OFFICER

Repeatable error-free change management process. Less outage due to schema change or broken pipeline. High team morale and user confidence on the analytics platform.

03

END USER

Frequent code moves to production allow new functionality to be available quicker. Higher data quality. No system downtime.

DATA RECONCILIATION, DATA QUALITY & DATA SECURITY EITHER ON PREM OR IN THE CLOUD

Manage Your Modern Analytics Platform efficiently, save manual effort, create trust and build a brand among your user community

Stay in control of your data. Get notified on data issues before users use bad data to take wrong decisions.

Solution in cloud or on prem

Integrates with other systems within your landscape.
Fits within your modern data stack.
Saves manual effort and optimizes work flow.

Enterprise ready

Integrated with SSO and compliant with security requirements.
Scales with billions of rows.
Deploy within On-prem or cloud.

Immediate impact

Minimize risk, compliance and other data issues.
Create trust and brand among users.
Increase productivity and quality of your data platform.

Integrates with the modern data stack

Integrations with the most used databases

Why wait? Your free 4DAlert experience is just a click away!

4DAlert Free version

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