Best Data Quality Software in India

Enhance monitoring, visualization, remediation, reconciliation, and reconciliation to improve the quality of your data at-rest and in-motion. Data quality should be part of your company's DNA. To get a complete view of your data's journey throughout your organization, no matter where it is located, go beyond the basic quality checks. Continuous quality monitoring and point to-point reconciliation are essential for building trust in data and providing consistent insights. Data360 DQ+ automates data quality monitoring across the entire data supply chain, starting at the point information enters your organization. This allows you to monitor data in motion. Operational data quality includes validating counts and amounts across multiple sources and tracking timeliness to meet external or internal SLAs. Also, checks to ensure totals remain within set limits are examples.

Data can disrupt markets and open new frontiers, but it only works when it is trusted and understood. Stakeholders in your organization can collaborate to achieve data excellence by leveraging our AI/ML-enhanced cloud-based solution, which is built with 25 years worth of best practices. With hundreds of pre-built reports and embedded best practices, you can quickly identify and remediate data quality issues. Cleanse data before or during data migration. Track data quality in real time with customizable data intelligence dashboards. Monitor data objects continuously and automatically initiate remediation workflows to direct them to the correct data owners. To accelerate future data initiatives, consolidate data on a single cloud-based platform. All data stakeholders working together in one system will reduce effort and improve results.

Novatek Environmental Monitoring (EM), Software Solution is a industry standard that has been in use for over 20 years. It can be used to manage controlled environments. Our Environmental Monitoring software is not an "off-the-shelf" solution. It was developed in response to user requirements and regulatory requirements. It is a powerful, compliant solution that can be used to manage, evaluate, and reduce risks associated with Environmental Monitoring. Novatek's Environmental Monitoring software maps to your entire sampling process. The software controls the entire process, not just scheduling individual sampling points but also capturing all quality control parameters. Novatek's Environmental Monitoring enforces compliance with standard operating procedures and follows best practices.

Cloudingo makes managing customer data super simple, from deduping to importing to migrating. Salesforce is great for managing customers. Salesforce is great for managing customers. But it falls short when it comes to data quality. Data quality is a problem. There are duplicate records, customer data that doesn’t make sense, and reports that are a little...off. Do you sound familiar? You can only merge dupes one by one, native solutions, custom codes, and spreadsheets. It shouldn't be a problem to ensure the accuracy of customer data. Or spend a lot of time cleaning up and managing Salesforce. You've wasted too much time putting at risk relationships, losing opportunities, and dealing in chaos. It's time for you to change it. Imagine a tool that transforms your Salesforce data from a messy, confusing, and unreliable mess into a lead-nurturing, sales-producing machine.

The modern data workspace. All your data assets, from data tables to reports, will be instantly discoverable. The combination of powerful search algorithms and easy browsing makes it easy to find the right asset. Atlan automatically generates data quality profiles that make it easy to detect bad data. We have you covered, from automatic variable type detection and frequency distribution to missing values or outlier detection. Atlan takes the hassle out of managing and governing your data ecosystem. Atlan's bots analyze SQL query history to automatically construct data lineage. They also auto-detect PII information. This allows you to create dynamic access policies and best-in-class governance. Our Excel-like query builder allows anyone to query multiple data lakes, warehouses, and DBs. Native integrations with tools such as Tableau and Jupyter make data collaboration possible.

Your lead data management platform. Capture, qualify, and synchronize your lead data with your systems. Capture, qualify and nurture leads faster, cheaper, and more efficiently. You can capture any source of lead data with minimal effort and high quality. Before you send leads to your marketing and selling tools, make sure you have qualified leads. All contact data should be synchronized with your marketing platform to trigger conversions.

Our data quality management solutions can be relied upon whether you are preparing for a migration or looking to gain reliable customer insight. WHAT DOES DATA QUALITY-MANAGEMENT MEAN? Experian offers powerful data profiling, data discovery and data cleansing and enrichment. Process orchestration is also possible. Full-volume analyses can also be performed with Experian. It's now easier than ever to gain insight into your business data. Our solutions enable you to connect seamlessly to hundreds of data sources to eliminate duplicates, correct errors, standardize formats, and remove duplicates. You will have a better understanding of your customers and business operations if you have better data quality.

OpenRefine (previously Google Refine), is a powerful tool to work with messy data. It can clean it, transform it into another format, and extend it with web services or external data. OpenRefine keeps your data secure on your computer until you share it or collaborate with others. Unless you wish it to, your private data will never leave your computer. It works by installing a small server on your computer. You then use your web browser for interaction with it. OpenRefine allows you to explore large data sets easily. Watch the video below to learn more about this functionality. OpenRefine can link and extend your data with many webservices. OpenRefine can also upload your cleaned data to Wikidata.

The BiG EVAL platform provides powerful software tools to ensure and improve data quality throughout the entire lifecycle of information. BiG EVAL's data quality and testing software tools are built on the BiG EVAL platform, a comprehensive code base that aims to provide high performance and high flexibility data validation. All features were developed through practical experience gained from working with customers. It is crucial to ensure high data quality throughout the data lifecycle. This is essential for data governance. BiG EVAL DQM, an automation solution, supports you in all aspects of data quality management. Continuous quality checks validate enterprise data, provide a quality indicator, and support you in solving quality problems. BiG EVAL DTA allows you to automate testing tasks within your data-oriented project.

Secuvy, a next-generation cloud platform, automates data security, privacy compliance, and governance via AI-driven workflows. Unstructured data is treated with the best data intelligence. Secuvy, a next-generation cloud platform that automates data security, privacy compliance, and governance via AI-driven workflows is called Secuvy. Unstructured data is treated with the best data intelligence. Automated data discovery, customizable subjects access requests, user validations and data maps & workflows to comply with privacy regulations such as the ccpa or gdpr. Data intelligence is used to locate sensitive and private information in multiple data stores, both in motion and at rest. Our mission is to assist organizations in protecting their brand, automating processes, and improving customer trust in a world that is rapidly changing. We want to reduce human effort, costs and errors in handling sensitive data.

With exceptional functionality for data integration, quality and cleansing, maximize the value of all structured and unstructured data in your organization. SAP Data Services software increases the quality of enterprise data. It is part of SAP's Information Management Layer. It delivers timely, relevant, and trusted information to help drive better business outcomes. Transform your data into a reliable, always-available resource for business insights and use it to streamline operations and maximize efficiency. Get contextual insight and unlock the true potential of your data with a complete view of all your information. Access to any size data and any source. Standardizing and matching data can improve decision-making and operational efficiency. This will reduce duplicates, identify relationships and address quality issues proactively. Use intuitive tools to unify critical data whether it is on-premise, in the cloud or within Big Data.

Data management software is used mainly by enterprise business teams. Data management software must be intuitive, automated, and intelligent. Data management activities must also adhere to specific industry and data protection regulations. Data must be accurate, consistent, high quality, and easily accessible to enable business teams to make informed, data-driven strategic business decisions. Integrates data privacy, data quality management and test data management. Service engine-based architecture allows for efficient handling of growing data volumes. Uses a user-defined function framework with python adapter to handle niche data processing needs. This provides a minimal layer of governance for data quality and privacy management.

CLEAN_Data is a collection enterprise data quality solutions that can be used to manage the ever-changing profiles of alumni, customer, vendor, student and employee contact data. CLEAN_Data solutions are essential in managing enterprise data integrity requirements. Runner EDQ offers integrated data solutions that can be relied upon, regardless of whether you're processing data in real-time or batch. CLEAN_Address is an integrated address verification solution that corrects, standardizes postal addresses within Oracle®, Ellucian® and other enterprise system (ERP, SIS HCM, CRM, MDM, MDM). Our seamless integration allows address correction at the point-of-entry and for existing data via batch or change of address processing. All address entry pages can be verified in real time using native fields from your CRM or SIS. Integrated batch processing formats and corrects existing address records.

According to industry experts, up to 20% of a company's contact list contains bad data. This can lead to bounced emails, returned mail, address correction fees and wasted sales and marketing efforts. The Data Quality Suite can be used to standardize, verify, and correct all contact data. This includes postal address, email address and phone number. It is essential for efficient communications and business operations. Verify, standardize and transliterate addresses from more than 240 countries. Intelligent recognition can identify 650,000+ ethnically diverse first and last names. Authenticate phone numbers and geo-data to ensure that mobile numbers are available and callable. Validate domain, syntax, spelling, & even test SMTP for global email verification. The Data Quality Suite allows organizations of all sizes to verify and maintain data in order to communicate effectively with customers via email, postal mail, or phone.

Leading organizations today are using data to outperform their competitors, improve customer satisfaction, and discover new business opportunities. Traditional technologies and processes are being challenged by industry-specific regulations and privacy rules. Data quality is a must-have in any organization, but it often stops at the door of the BI/analytics program. Wiiisdom Ops can help your organization ensure quality assurance in the analytics component, which is the last mile of the data journey. You put your organization at risk by not having it. This could lead to disastrous decisions or automated disasters. Automation is essential for BI Testing at scale. Wiiisdom Ops seamlessly integrates into your CI/CD pipeline. This guarantees a seamless end-to-end analytics testing loop at lower costs. Wiiisdom Ops does not require engineering skills. You can centralize and automate all your test cases using a simple interface. Then, you can share the results.

DQ For Dynamics is a data management solution for MS Dynamics CRM. This software is specifically designed to give you customer data that you can trust. Our software is designed to give Dynamics 365 users and CRM administrators the ability to maintain and manage CRM data quality. DQ for Dynamics is integrated into Dynamics 365. It allows you to capture, cleanse, and consolidate records in your CRM system. This will give you a single customer view, and make your data suitable for business use. Duplicate review times can be reduced up to four times compared to the standard merge review. Our multi-record review screen allows you to easily set up rules and review duplicates. Increase the effectiveness of your sales tracking, marketing campaigns, and end-to–end reporting. To allow easy segmentation of CRM data, fix the route problem.

DQ on Demand™, native to Azure, is designed to deliver incredible performance and scalability. You can switch data providers easily and improve your customer data on an as-you-go basis. Simply plug into our DQ On Demand™, web services. This will provide you with a simple-to-access data quality market. There are many data services available, including data cleansing, enrichment and validation, verification, data transformations and verification. Connect to our web-based APIs. Switch data providers easily, giving you maximum flexibility. Complete developer documentation. Pay only for what you use. You can purchase credits and use them for any service you need. It is easy to set up and use. Excel allows you to easily access all DQ on Demand™, functions. Our DQ PCF controls will ensure that your data is cleaned up right within MS Dynamics.

You can improve your customer data in a familiar, easy-to-use environment. To improve the quality of your data, simply download your customer data to Microsoft Excel and then use our plugin from the office store. Transform data (abbreviate to elaborate, exclude, normalize) in five languages and 12 entity categories. Compare records by scoring their similarity. You can choose from multiple comparison options, including Jaro Winkler, Levenshtein, and many more. Generate phonetic match keys for deduplication using DQ Fonetix™, Soundex and Metaphone. To identify the data piece, classify it. I.e. Brian or Sven is a name of a person, Road, Strasse, or Rue are elements of an address, and Ltd or LLC are suffixes for a company. To determine a gender, use segment contact data and job roles to derive data. Decision-making levels and job roles can be derived from job titles. DQ for Excel™, works within Microsoft Excel and is easy to use.

You can unify your data catalog, reduce communication overhead, and enable quality control for any employee of your company without having to deploy or install anything. Rudol is a data platform that helps companies understand all data sources, regardless of where they are from. It reduces communication in reporting processes and urgencies and allows data quality diagnosis and issue prevention for all company members. Each organization can add data sources from rudol's growing list of providers and BI tools that have a standardized structure. This includes MySQL, PostgreSQL. Redshift. Snowflake. Kafka. S3*. BigQuery*. MongoDB*. Tableau*. PowerBI*. Looker* (*in development). No matter where the data comes from, anyone can easily understand where it is stored, read its documentation, and contact data owners via our integrations.

A low-code no-code approach to data quality. SaaS offers flexibility, affordability, ease-of-integration, and efficient support. High standards for encryption, identity management and role-based access control. Data governance and compliance standards. Advanced ML models for detecting row-value data anomalies. The models will adapt to the business and data requirements of users. You can add any number of data sources, records, or attributes. For unpredictable volume spikes, well-equipped. Support streaming and batch processing. Data is continuously monitored to provide real-time notification, with no impact on pipeline performance. Easy boarding, integration, investigation. Telmai is a platform that allows Data Teams to detect and investigate anomalies in real-time. No-code on-boarding. Connect to your data source, and select alerting channels. Telmai will automatically learn data and alert you if there are unexpected drifts.

Datuum is an AI-powered data integration tool that offers a unique solution for organizations looking to streamline their data integration process. With our pre-trained AI engine, Datuum simplifies customer data onboarding by allowing for automated integration from various sources without coding. This reduces data preparation time and helps establish resilient connectors, ultimately freeing up time for organizations to focus on generating insights and improving the customer experience. At Datuum, we have over 40 years of experience in data management and operations, and we've incorporated our expertise into the core of our product. Our platform is designed to address the critical challenges faced by data engineers and managers while being accessible and user-friendly for non-technical specialists. By reducing up to 80% of the time typically spent on data-related tasks, Datuum can help organizations optimize their data management processes and achieve more efficient outcomes.

Customer data is everywhere: on our phones, in social media, in IoT, in CRM, ERP and marketing. The amount of data that companies collect is staggering... The data companies capture is overwhelming... Data that is uncontrolled and of low quality can cause a company to become disorganized, putting its growth at risk. All processes in a business should be synchronized around customer data. It is vital to ensure that the data is always reliable and accessible. DQE One is a solution for all departments that leverage customer data. Data of high quality ensures that every decision is made with confidence. Contact information from different sources is piled up in the company's database. The customer database needs to be maintained and qualified for use as a reliable repository, even if it contains data entry errors, incorrect information or gaps.

Empower enterprise data teams with the ability to prevent costly outages before they happen. With efficient time-bound queries, you can quickly scale data quality checks throughout enterprise data pipelines without compromising performance. Utilizing AI models that are specific to DQ, you can monitor and identify data anomalies without having to manually set thresholds. Lightup's solution provides you with the highest level of data quality so you can make confident decisions. Data quality intelligence will help you make confident decisions. Dashboards that are flexible and powerful provide transparency on data quality and trends. Lightup's built in connectors allow you to connect seamlessly to any data source within your data stack. Replace manual, resource-intensive data quality checks with automated ones to streamline workflows.

Trackingplan is an observability tool for marketing that saves time for analysts and tag specialists. It monitors web and app traffic continuously to alert you to problems before they have a significant effect. It also helps you debug the problem to identify its origin and ensure a quick resolution. Trackingplan is plug-and-play: it's easy to install and auto-detects your analytics, marketing, and product stacks. It starts monitoring after a few days. Trackingplan also provides a summary report every morning at the start of your working day on the status of all your websites and apps. This includes everything from traffic tagged with campaigns to the behavior data sent to marketing pixels.

Identify code issues and optimize code in real-time. Prevent data incidents before deployment. Manage code changes that impact data from the operational database all the way to the dashboard. Data lineage is automated, allowing for analysis of every dependency, from the operational database to the reporting layer. Foundational automates the enforcement of data contracts by analyzing each repository, from upstream to downstream, directly from the source code. Use Foundational to identify and prevent code and data issues. Create controls and guardrails. Foundational can be configured in minutes without requiring any code changes.