Data Quality Monitoring and Data Preparation software

Updated: July 30, 2023

Data Quality software is a crucial tool for organizations to ensure that their data is accurate, consistent, and reliable. This software helps businesses identify and rectify data errors, duplicates, and inconsistencies, maintaining data integrity across various systems and databases. Data Quality software employs advanced algorithms and data profiling techniques to detect anomalies and standardize data formats, enabling users to cleanse and enrich their datasets effectively. By addressing data quality issues, businesses can make better-informed decisions, improve operational efficiency, and enhance customer experiences. Moreover, data-driven insights and analytics become more meaningful and valuable when based on high-quality data. Data Quality software plays a pivotal role in maximizing the value of an organization's data assets, ultimately leading to improved business outcomes and a competitive advantage in the marketplace.

See also: Top 10 Business Intelligence software

2022. Validio, a data quality platform emerges from stealth with $15M

Validio, a startup dedicated to enhancing and ensuring data quality, has successfully secured $15 million in funding. Validio's primary focus is to develop tools that empower data engineers to streamline and optimize data cleaning processes, both within data warehouses and in real time across various data sources. While Validio's solutions are highly technical, the company prioritizes delivering a seamless user experience. This involves leveraging machine learning and statistical analysis to enable users' systems to efficiently identify and promptly respond to incoming data within the data pipeline. Validio offers automated rule sets that can be used by engineers, alongside the option to create customized rules. The platform also provides automated thresholds, auto-resolution capabilities, and other advanced features to ensure efficient data management and processing.

2021. Iteratively raises $5.4M to help companies build data pipelines they can trust

As companies accumulate larger volumes of data, ensuring its quality and trustworthiness has become increasingly crucial. After all, an analytics pipeline is only as reliable as the data it gathers, and messy data or bugs can lead to significant issues downstream. Iteratively, a startup dedicated to assisting businesses in constructing dependable data pipelines, has recently secured $5.4 million in seed funding. Iteratively specializes in managing event streaming data for product and marketing analytics, which typically flows into platforms like Mixpanel, Amplitude, or Segment. Positioned at the data source, such as within an app, Iteratively validates and directs the data to the appropriate third-party solutions employed by the company. By doing so, Iteratively helps ensure the accuracy and reliability of the data driving critical business insights.

2020. Avo raises $3M for its analytics governance platform

Avo, a startup dedicated to enhancing data quality management for businesses, has successfully secured a $3 million seed funding round. Avo offers a shared workspace for developers, data scientists, and product managers to collaborate on the development and optimization of data pipelines. Effective product analytics is the result of collective efforts from these cross-functional teams, and Avo aims to provide them with a platform for analytics planning and governance, establishing company-wide standards for creating analytics events.

2020. Truthset raises $4.75M to help marketers score their data

Marketing data quality startup Truthset has successfully secured $4.75 million in seed funding. The company specializes in evaluating the accuracy of consumer data purchased by marketers, assigning it a score ranging from 0.00 to 1.00. To generate these scores, Truth{set} verifies the data against various independent sources, as well as utilizing first-party data and panels. The platform goes even further by allowing the "suppression" of consumer IDs that fail to meet a marketer's standards, preventing their use in targeting efforts. Moreover, Truthset seamlessly integrates with demand-side platforms, data management platforms, and customer platforms. It also offers compatibility with leading data providers, such as Facebook, LiveRamp, and The Trade Desk.

2020. Toro snags $4M seed investment to monitor data quality

Data Quality Monitoring provider Toro has recently secured a seed funding round of $4 million. According to Kyle Kirwan, the co-founder and CEO of the company, Toro aims to introduce automated monitoring capabilities, similar to those found in application performance monitoring products, to the field of data management. Instead of receiving alerts solely when an application's performance is subpar, users would receive alerts highlighting issues with the data itself. This monitoring platform assists data teams in identifying problems within their data content before it impacts dashboards, machine learning models, and other critical areas where data issues could result in significant consequences.

2020. Delman raises $1.6 million to help companies clean up data

Delman, a startup based in Jakarta specializing in data management, has secured $1.6 million in seed funding. Initially established as a comprehensive provider of big data analytics, Delman reoriented its core focus towards data preparation and management. Numerous companies had allocated funds for costly data analytics solutions, only to discover that their data was unprepared for analysis due to its fragmented nature across various formats. Delman aims to simplify the tasks of data engineers and scientists by streamlining the cleaning and preparation of data.