# Best Data Quality Tools - Page 8

## How Many Data Quality Tools Products Does G2 Track?

**Total Products under this Category:** 251

### Category Stats (Aug 2026)

- **Average Rating:** 4.48/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Data Quality Navigator (+3.87%) - Among all products in this category, Data Quality Navigator recorded the largest rating increase compared to last month

_Last updated: August 01, 2026_

## How Does G2 Rank Data Quality Tools Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 12,500+ Authentic Reviews
- 251+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

## G2 Grid® for Data Quality Tools
 ![G2 Grid® for Data Quality Tools plotting products by satisfaction and market presence](https://www.g2.com/categories/data-quality/grids.png?focus%5B%5D=1327283&focus%5B%5D=142449&focus%5B%5D=135441&focus%5B%5D=1613254&focus%5B%5D=148877&focus%5B%5D=19607&focus%5B%5D=122327&focus%5B%5D=1646038)

Highlighted products: SAS Viya, Monte Carlo, GTM Studio - Powered by ZoomInfo, Data Quality Navigator, dbt, HubSpot Data Hub, DQLabs, and Quest Data Intelligence.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-quality/grids.json?focus%5B%5D=sas-sas-viya&focus%5B%5D=monte-carlo&focus%5B%5D=gtm-studio-powered-by-zoominfo&focus%5B%5D=data-quality-navigator&focus%5B%5D=dbt&focus%5B%5D=hubspot-data-hub&focus%5B%5D=dqlabs&focus%5B%5D=quest-data-intelligence)

**Sponsored**

### Omatic Software

Omatic Cloud is the nonprofit integration and data platform, built for everyday nonprofit users by nonprofit professionals who understand your workflows. Nonprofits juggle more systems than ever, creating data inconsistencies across systems. By supporting workflows across fundraising, program management, and financial reporting, Omatic Cloud helps you unlock the power of data to inform decisions, engage supporters, and scale your mission. Omatic Cloud provides: - App connectors for nonprofit tools - Bulk data imports (flat files) into CRM & accounting tools - Data transformation - Data mapping & routing - Data validation & deduplication - And much more! Omatic is backed by a world-class support team, providing hands-on implementation & training to help you get integrations live. Founded in 2002 and headquartered in Charleston, SC, we serve more than 3k social impact customers across Healthcare, Cause & Cure, Higher Ed, K-12, Family & Human Services, Arts & Cultural, and Faith-Based Orgs.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=74&secure%5Bchosen_at%5D=2026-08-03T04%3A51%3A09Z&secure%5Bdisplayable_resource_id%5D=74&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=74&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=42995&secure%5Bresource_id%5D=74&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdata-quality%3Fpage%3D8%26post_lead_product%3Dopenprise&secure%5Btoken%5D=3ff776979a15a41a6777b5c305caeae22c2290fd9123d52898a68cf6373083d9&secure%5Burl%5D=https%3A%2F%2Fomaticsoftware.com%2F%3Futm_source%3Dreview-site%26utm_medium%3Dg2%26utm_campaign%3Dpaid&secure%5Burl_type%5D=custom_url)

### [Tresata](https://www.g2.com/products/tresata/reviews)

delivering customer intelligence

**Average Rating:** 4.0/5.0

**Total Reviews:** 2

#### How Do G2 Users Rate Tresata?

- **Quality of Support:** 6.7/10 (Category avg: 8.9/10)
- **Automation:** 8.3/10 (Category avg: 8.7/10)
- **Identification:** 8.3/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Tresata?

- **Seller:** [Tresata](https://www.g2.com/sellers/tresata)
- **Year Founded:** 2011
- **HQ Location:** Charlotte, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=522dc4df06a0d5ec23262d72ae22c35e997d54a9e87fe2bab4ddb15a9b6230f6&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ftresata&secure%5Burl_type%5D=linkedin_company_website)  
26 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small, 50% Medium

#### What Do G2 Reviewers Say About Tresata?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **automated data analytics** of Tresata, as it integrates data and offers valuable insights for scaling.
- Users value the **automation capabilities** of Tresata, which streamline data integration and enhance analytical insights for scaling.
- Users appreciate the **data centralization** of Tresata, which provides a unified view of customer information from various sources.
- Users value the **enhanced data quality** of Tresata, which transforms customer data management and improves insights.
- Users find Tresata's platform **easy to use** , simplifying customer data management and providing a unified view.

##### Cons

- Users find the **difficult setup** of Tresata challenging, particularly unsuitable for smaller organizations lacking experience.
- Users find **limited flexibility** in Tresata’s collaboration features, making idea sharing and document work cumbersome.
- Users feel that Tresata's **limited functionality** hampers collaboration, making it difficult to share ideas and documents effectively.
- Users find that the **initial setup requires significant experience** , making it unsuitable for small organizations.

#### What Are Recent G2 Reviews of Tresata?

**["Great Experience with Tresata"](https://www.g2.com/survey_responses/tresata-review-10365111)**

**Rating:** 4.5/5.0 stars

_— Sanjay K._

[Read full review](https://www.g2.com/survey_responses/tresata-review-10365111)

### [Astera ReportMiner](https://www.g2.com/products/astera-reportminer/reviews)

Astera ReportMiner, an unstructured data management tool, provides a complete solution for end-to-end data ingestion and integration for unstructured data sources. ReportMiner enables you to liberate business data trapped in documents such as PDFs, PDF forms, PRN, TXT, RTF, DOC,DOCX, XLS, and XLSX. Astera’s solution is a combination of AI and template-based data extraction purpose-built for efficiency. Users can auto-generate templates with the click of a button, fine-tune them using comprehensive customization options, and use them for subsequent extraction jobs involving files with similar layouts, saving time and effort. With features for data cleansing/scrubbing, business rules-based data quality verification, data transformation (merging, splitting, normalizing, denormalizing, and more), and loading into high-end database platforms, the perfect integration flow can be designed to extract, transform, and load data into the final destination for operations and business intelligence applications. ReportMiner Enterprise Edition also provides a built-in scheduler with real-time scheduling features, so not only is the extract/transform/load process automated, but also job scheduling and maintenance. ReportMiner Enterprise Edition ensures you get the best out of the automation process.

**Average Rating:** 4.4/5.0

**Total Reviews:** 18

#### How Do G2 Users Rate Astera ReportMiner?

- **Quality of Support:** 8.6/10 (Category avg: 8.9/10)

#### Who Is the Company Behind Astera ReportMiner?

- **Seller:** [Astera Software](https://www.g2.com/sellers/astera-software)
- **HQ Location:** Simi Valley, CA
- **Twitter:** @AsteraSoftware  
2,255 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1cf9dc3c430d3f81b53273d8e1958f34a9d05c68f0621195ee98e429abe6510c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F33267%2F&secure%5Burl_type%5D=linkedin_company_website)  
168 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 44% Medium, 39% Small

#### What Are Recent G2 Reviews of Astera ReportMiner?

**["Powerful tool with excellent support staff"](https://www.g2.com/survey_responses/astera-reportminer-review-8698441)**

**Rating:** 5.0/5.0 stars

_— Verified User in Financial Services_

[Read full review](https://www.g2.com/survey_responses/astera-reportminer-review-8698441)

**["ReportMiner Does What We Need It To"](https://www.g2.com/survey_responses/astera-reportminer-review-13183597)**

**Rating:** 4.5/5.0 stars

_— Verified User in Banking_

[Read full review](https://www.g2.com/survey_responses/astera-reportminer-review-13183597)

#### What Are G2 Users Discussing About Astera ReportMiner?

- [What is ReportMiner used for?](https://www.g2.com/discussions/what-is-reportminer-used-for)

### [Black Tiger Platform](https://www.g2.com/products/black-tiger-platform/reviews)

AI-powered platform solving data quality, governance, and compliance—in real-time and at scale.

**Average Rating:** 4.5/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate Black Tiger Platform?

- **Quality of Support:** 8.3/10 (Category avg: 8.9/10)
- **Automation:** 8.3/10 (Category avg: 8.7/10)
- **Identification:** 10.0/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Black Tiger Platform?

- **Seller:** [Black Tiger](https://www.g2.com/sellers/black-tiger)
- **Year Founded:** 2015
- **HQ Location:** New York, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=5ae4b4a5026f06674d63be2ef7f367b008e5cf8dfbfa99602dfd6bc5d44c7129&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fblacktigertech%2F&secure%5Burl_type%5D=linkedin_company_website)  
159 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Large, 50% Medium

#### What Do G2 Reviewers Say About Black Tiger Platform?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **effective compliance management** of Black Tiger Platform, facilitating GDPR adherence and addressing data challenges.
- Users praise the **exceptional customer support** of Black Tiger, ensuring effective communication and understanding of their needs.
- Users value the **data quality** of Black Tiger Platform, effectively addressing their challenges and ensuring GDPR compliance.

#### What Are Recent G2 Reviews of Black Tiger Platform?

**["Strong partner for data related topics"](https://www.g2.com/survey_responses/black-tiger-platform-review-11044046)**

**Rating:** 4.5/5.0 stars

_— Rafael B._

[Read full review](https://www.g2.com/survey_responses/black-tiger-platform-review-11044046)

**["Great and efficent Data Platform"](https://www.g2.com/survey_responses/black-tiger-platform-review-4604089)**

**Rating:** 5.0/5.0 stars

_— Bruno D._

[Read full review](https://www.g2.com/survey_responses/black-tiger-platform-review-4604089)

#### What Are G2 Users Discussing About Black Tiger Platform?

- [What is Black Tiger Platform used for?](https://www.g2.com/discussions/what-is-black-tiger-platform-used-for)

### [Blast](https://www.g2.com/products/datablast-blast/reviews)

A data platform that bundles critical data functionalities including data orchestration, quality checks, comprehensive documentation, and observability. This platform empowers users to efficiently extract, transform, and interpret data from various sources. It enables the orchestration of these processes with customizable frequency, ensuring data integrity and complete control over the data journey.

**Average Rating:** 5.0/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate Blast?

- **Quality of Support:** 10.0/10 (Category avg: 8.9/10)
- **Automation:** 10.0/10 (Category avg: 8.7/10)
- **Identification:** 10.0/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Blast?

- **Seller:** [Datablast](https://www.g2.com/sellers/datablast)
- **Year Founded:** 2021
- **HQ Location:** İstanbul
- **Twitter:** @Datablast\_io  
1 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=63c821a1feb1b50ec8581993f6b6ae4414ad0e7ef33d2931bb4065513c75078b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdatablastcompany&secure%5Burl_type%5D=linkedin_company_website)  
3 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Medium

#### What Are Recent G2 Reviews of Blast?

**["Effective, easy to use and great UI."](https://www.g2.com/survey_responses/blast-review-9214982)**

**Rating:** 5.0/5.0 stars

_— Cihan B._

[Read full review](https://www.g2.com/survey_responses/blast-review-9214982)

### [Clean by Similarity API](https://www.g2.com/products/clean-by-similarity-api/reviews)

Clean by Similarity API finds duplicate contacts, leads, and company names in your spreadsheets — even when they're spelled differently across records. Unlike Excel's Remove Duplicates or your CRM's built-in deduplication, Clean uses fuzzy matching to catch real-world variants: "Acme Corp" and "Acme Corporation", "Jen Walsh" and "Jennifer Walsh", "Microsoft" and "Microsoft Inc." are all correctly identified as duplicates. Exact-match tools miss these entirely. Upload a CSV or Excel file, select which columns to match on, and preview your duplicate clusters before downloading. Match on a single column or combine name and company together for more reliable results — combining two weak signals into one strong match decision. Three output formats: a clean file with duplicates removed, your original file flagged with cluster IDs, or a review sheet showing duplicate groups with similarity scores for manual inspection before merging. Free for files up to 1,000 rows, no account required. Larger files from $4.99 per run — pay once, download immediately, no subscription needed. Built for marketing ops, RevOps, and anyone who needs a clean file before a CRM import, not a coding project.

**Average Rating:** 5.0/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate Clean by Similarity API?

- **Quality of Support:** 10.0/10 (Category avg: 8.9/10)
- **Identification:** 10.0/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Clean by Similarity API?

- **Seller:** [Similarity API](https://www.g2.com/sellers/similarity-api)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Large

#### What Are Recent G2 Reviews of Clean by Similarity API?

**["Fast, Accurate Data Deduplication with Handy Company Suffix Removal"](https://www.g2.com/survey_responses/clean-by-similarity-api-review-12612990)**

**Rating:** 5.0/5.0 stars

_— Verified User in Research_

[Read full review](https://www.g2.com/survey_responses/clean-by-similarity-api-review-12612990)

### [Coginiti](https://www.g2.com/products/coginiti/reviews)

Coginiti is a SQL-first collaborative data operations platform that empowers teams to build, publish, and consume quality data products, streamlining the data analytics lifecycle from inception to insights. Integrating with the widest variety of data platforms and tools, Coginiti enables analysts, engineers, and data scientists to collaborate in real-time, breaking down silos and fostering innovation. Its intuitive interface simplifies managing complex data workflows, ensuring governance and consistency across projects. Key Features: - Realtime Collaboration - Flexible Data Modeling - Data Quality Testing - Visualize Data Lineage - Native Scheduling - Powerful APIs - AI Assistant Coginiti facilitates a seamless transition from data preparation to actionable intelligence. It’s not just about refining your data strategy or scaling your analytics capabilities; it’s about empowering your organization to harness the full potential of data for informed decision-making. Discover the power of Coginiti and transform your data operations. Coginiti offers products for individual analysts, data teams, and enterprises.

**Average Rating:** 4.5/5.0

**Total Reviews:** 29

#### How Do G2 Users Rate Coginiti?

- **Quality of Support:** 8.7/10 (Category avg: 8.9/10)

#### Who Is the Company Behind Coginiti?

- **Seller:** [Coginiti Corp](https://www.g2.com/sellers/coginiti-corp)
- **Year Founded:** 2020
- **HQ Location:** Atlanta , GA
- **Twitter:** @coginiti  
71 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=58ecaed2efc005b0d0940823689bc93b58ded7b8631cbd58b8cec55565cd669e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcoginiti&secure%5Burl_type%5D=linkedin_company_website)  
35 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 66% Large, 28% Medium

#### What Are Recent G2 Reviews of Coginiti?

**["A functional app to maintain and work on all your databases"](https://www.g2.com/survey_responses/coginiti-review-9002344)**

**Rating:** 5.0/5.0 stars

_— Puteri P._

[Read full review](https://www.g2.com/survey_responses/coginiti-review-9002344)

**["Very user friendly tool to write and run queries needed to do my job"](https://www.g2.com/survey_responses/coginiti-review-8657704)**

**Rating:** 5.0/5.0 stars

_— Lori-Jo D._

[Read full review](https://www.g2.com/survey_responses/coginiti-review-8657704)

#### What Are G2 Users Discussing About Coginiti?

- [What is Coginiti used for?](https://www.g2.com/discussions/what-is-coginiti-used-for)
- [What is Aginity Workbench for puredata system for analytics?](https://www.g2.com/discussions/what-is-aginity-workbench-for-puredata-system-for-analytics)
- [What is Aginity Workbench for Netezza?](https://www.g2.com/discussions/what-is-aginity-workbench-for-netezza)
- [How much does Aginity pro cost?](https://www.g2.com/discussions/how-much-does-aginity-pro-cost)

### [D365 Data Quality](https://www.g2.com/products/d365-data-quality/reviews)

D365 Data Quality solution extends the natural capability of your Dynamics 365 CRM by providing visibility into your data quality and the controls to improve it. The web application data quality application ensures data issues are captured as the data is being entered allowing immediate correction. Data stewards are provided with the tools they need to provide a trusted source of customer data for your entire organization. Adastra’s D365 Data Quality application solution integrates seamlessly with Dynamics 365 by leveraging native Microsoft technology, including Power Apps, Power Automate and common data services. D365 Data Quality web application solution is a plug-in to your existing D365 solution and does not require additional servers, thus minimizing the impact to your infrastructure. It can be deployed in just 1 business day.

**Average Rating:** 4.5/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate D365 Data Quality?

- **Quality of Support:** 6.7/10 (Category avg: 8.9/10)
- **Automation:** 8.3/10 (Category avg: 8.7/10)
- **Identification:** 8.3/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 6.7/10 (Category avg: 8.5/10)

#### Who Is the Company Behind D365 Data Quality?

- **Seller:** [Adastra](https://www.g2.com/sellers/adastra)
- **Year Founded:** 1995
- **HQ Location:** Toronto, Canada
- **Twitter:** @AdastraCorp  
417 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=158906b23c0048e07d6211b88f785d08d91ef6f2240c6a7a14111d67eb3497a6&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F12366&secure%5Burl_type%5D=linkedin_company_website)  
1,722 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Large

#### What Do G2 Reviewers Say About D365 Data Quality?

_AI-generated summary from verified user reviews_

##### Pros

- Users commend the **data cleaning capabilities** of D365 Data Quality, enhancing their workflow and report generation.
- Users value the **seamless data validation** in D365 Data Quality, enhancing their efficiency in data management tasks.
- Users find D365 Data Quality to be **extremely user-friendly** , simplifying data management and reporting tasks effectively.
- Users appreciate the **easy integrations** of D365 Data Quality, streamlining processes across Microsoft modules effortlessly.
- Users benefit from the **easy reporting features** of D365 Data Quality, simplifying data presentation for leadership.

##### Cons

- Users find the **limited customization** options frustrating, as they hinder efficient navigation and filtering of data.
- Users find D365 Data Quality **not user-friendly** due to slow performance and limited customization options affecting usability.
- Users experience frustrating **slow loading** times, making it difficult to access information quickly and efficiently.
- Users experience **slow performance** in D365 Data Quality, causing delays in retrieving information and frustration.

#### What Are Recent G2 Reviews of D365 Data Quality?

**["My daily companion: D365 Data Quality"](https://www.g2.com/survey_responses/d365-data-quality-review-10350754)**

**Rating:** 4.5/5.0 stars

_— Howard S._

[Read full review](https://www.g2.com/survey_responses/d365-data-quality-review-10350754)

### [Datametica Pelican – The Data Validator](https://www.g2.com/products/datametica-pelican-the-data-validator/reviews)

Pelican is an AI-powered enterprise-scale data validation tool to compare, validate and reconcile datasets across two heterogeneous data stores at a petabyte scale with zero coding and zero data movement.

**Average Rating:** 5.0/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate Datametica Pelican – The Data Validator?

- **Quality of Support:** 10.0/10 (Category avg: 8.9/10)

#### Who Is the Company Behind Datametica Pelican – The Data Validator?

- **Seller:** [Datametica Solutions](https://www.g2.com/sellers/datametica-solutions)
- **HQ Location:** New York, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ad5af1841902be9da67e4a4d95db02218b80a10b2b17505f841d7c4422de6bac&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdatametica%2F&secure%5Burl_type%5D=linkedin_company_website)  
592 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Large

#### What Are Recent G2 Reviews of Datametica Pelican – The Data Validator?

**["Game changing automated validation tool for on prem and cloud warehouses"](https://www.g2.com/survey_responses/datametica-pelican-the-data-validator-review-8719570)**

**Rating:** 5.0/5.0 stars

_— Harish S._

[Read full review](https://www.g2.com/survey_responses/datametica-pelican-the-data-validator-review-8719570)

### [Datuma](https://www.g2.com/products/datuma/reviews)

Datuma is a CRM data quality service for UK sales and marketing teams. You upload the contacts you already have. Datuma checks them and returns a scored file that is ready to import straight back into your CRM. Every batch runs the same checks, as standard. Duplicates are caught across every list you have ever uploaded, at £0.00, before enrichment spends a penny. Every work email is checked at the mail server. Every contact is checked against the live profile on the day you upload, and every phone number against the live network, as standard. Your customers, partners and competitors are pulled into their own file and kept out of your prospecting list, so nobody contacts them by accident. People who look to have changed role or organisation are flagged as follow-up opportunities, with their previous organisation and title attached. And a person confirms every close call, so nothing changes without you. The 0 to 100 Trust Score is the summary of those checks, and Verified Readiness grades each contact across 4 tiers. Same standard for every customer. No premium tier. Start free with 100 of your own contacts, no card. Then pay as you go in pounds. For a whole CRM, Done With You programmes start at £2,550 with a person guiding every step.

**Average Rating:** 4.5/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate Datuma?

- **Quality of Support:** 10.0/10 (Category avg: 8.9/10)
- **Automation:** 10.0/10 (Category avg: 8.7/10)
- **Identification:** 8.3/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Datuma?

- **Seller:** [Datuma](https://www.g2.com/sellers/datuma)
- **Year Founded:** 2025
- **HQ Location:** United Kingdom
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7144ac9356496990ea6ac9f13568612a162d77051128f38ea068d1239d775b2a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdatuma-uk&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

#### What Are Recent G2 Reviews of Datuma?

**["Consistent Trust Scores and Clear Per-Row Billing Make Cleanup Simple"](https://www.g2.com/survey_responses/datuma-review-13065836)**

**Rating:** 4.5/5.0 stars

_— Verified User in Design_

[Read full review](https://www.g2.com/survey_responses/datuma-review-13065836)

### [Deduplix - Data Deduplication Software](https://www.g2.com/products/deduplix-data-deduplication-software/reviews)

Experience hassle-free data management with our secure deduplication software. Save storage space and protect your data from unauthorized access.

**Average Rating:** 5.0/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate Deduplix - Data Deduplication Software?

- **Quality of Support:** 8.3/10 (Category avg: 8.9/10)
- **Automation:** 10.0/10 (Category avg: 8.7/10)
- **Identification:** 8.3/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Deduplix - Data Deduplication Software?

- **Seller:** [Ixsight technologies](https://www.g2.com/sellers/ixsight-technologies)
- **Year Founded:** 2007
- **HQ Location:** Mumbai, IN
- **Twitter:** @ixsight  
196 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8e9fa30e634533b2589977d946c543babda0768dcd4fc9d43f1869e24bf7d5b3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fixsight-technologies%2F&secure%5Burl_type%5D=linkedin_company_website)  
55 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

#### What Are Recent G2 Reviews of Deduplix - Data Deduplication Software?

**["Useful for optimising storage efficiently"](https://www.g2.com/survey_responses/deduplix-data-deduplication-software-review-9748797)**

**Rating:** 5.0/5.0 stars

_— YASH K._

[Read full review](https://www.g2.com/survey_responses/deduplix-data-deduplication-software-review-9748797)

### [DQ on Demand™](https://www.g2.com/products/dq-on-demand/reviews)

With over 10,000 datapoints, DQ on Demand™ provides users with a vast array of data quality functions. Native to Azure, DQ on Demand™ is architected to provide incredible performance and scalability. Switch data providers with ease and enhance your customer data on a pay-as-you-go basis by plugging straight into our DQ on Demand™ web services, providing you with an easy to access data quality marketplace.

**Average Rating:** 5.0/5.0

**Total Reviews:** 1

#### Who Is the Company Behind DQ on Demand™?

- **Seller:** [DQ Global](https://www.g2.com/sellers/dq-global)
- **Year Founded:** 1995
- **HQ Location:** Lee-on-the-Solent, GB
- **Twitter:** @DQ\_Global  
1,296 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=62a008a3734e322b16efe98ed7619766744076961e6652979344f4374c022ee3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdq-global&secure%5Burl_type%5D=linkedin_company_website)  
12 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Large

#### What Are Recent G2 Reviews of DQ on Demand™?

**["Flexible tool for data quality needs"](https://www.g2.com/survey_responses/dq-on-demand-review-8240904)**

**Rating:** 5.0/5.0 stars

_— JACK V._

[Read full review](https://www.g2.com/survey_responses/dq-on-demand-review-8240904)

### [Duplicate Search and Merge](https://www.g2.com/products/duplicate-search-and-merge/reviews)

Duplicate Search and Merge is a native deduplication application built for salesforce. It is an easy to use deduplication tool which cleanses the duplicate records using a simple yet powerful 5 step wizard-based approach to search duplicates on standard and custom objects. Duplicate Search and Merge helps customize filters for duplicate search, export duplicate records, perform mass merge and schedule jobs. It also helps in re-parenting of child records while merging the parent records Duplicate Search and Merge additionally provides the following functionalities: • Intuitive dashboard for managing duplicate data and automating jobs • Real-time info on duplicate groups and records of saved jobs • Fuzzy logic for selecting the record to retain • Save your searches for future use • Intelligent notification alerts on successful merge with the master record details

**Average Rating:** 4.0/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate Duplicate Search and Merge?

- **Quality of Support:** 10.0/10 (Category avg: 8.9/10)

#### Who Is the Company Behind Duplicate Search and Merge?

- **Seller:** [Mirketa](https://www.g2.com/sellers/mirketa)
- **Year Founded:** 2003
- **HQ Location:** Dublin, US
- **Twitter:** @MirketaInc  
125 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e0c03ca56e7f8f432db106c477700b3844ac5b8ef44bb8067d9460b138bca837&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmirketa-inc-%2F&secure%5Burl_type%5D=linkedin_company_website)  
137 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Large

#### What Are Recent G2 Reviews of Duplicate Search and Merge?

**["Review for duplicate search and merge"](https://www.g2.com/survey_responses/duplicate-search-and-merge-review-8734509)**

**Rating:** 4.0/5.0 stars

_— Tarannum m._

[Read full review](https://www.g2.com/survey_responses/duplicate-search-and-merge-review-8734509)

### [Easy Data Transform](https://www.g2.com/products/easy-data-transform/reviews)

Merge, clean, dedupe and reformat data with a few clicks

**Average Rating:** 5.0/5.0

**Total Reviews:** 1

#### Who Is the Company Behind Easy Data Transform?

- **Seller:** [Oryx Digital Ltd](https://www.g2.com/sellers/oryx-digital-ltd)
- **Year Founded:** 2005
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9046fd063468c66d89e9875493b30d1104dff3ec5b273db5043ccb95dd7b358b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1944841&secure%5Burl_type%5D=linkedin_company_website)  
2 employees on LinkedIn®

#### What Are Recent G2 Reviews of Easy Data Transform?

**["Easy Data Transform - Powerful Tool"](https://www.g2.com/survey_responses/easy-data-transform-review-6794619)**

**Rating:** 5.0/5.0 stars

_— Stephen G._

[Read full review](https://www.g2.com/survey_responses/easy-data-transform-review-6794619)

### [Enlighten](https://www.g2.com/products/enlighten/reviews)

Analyze and improve the quality of your data with Enlighten's complete data quality suite. Understand the state of your data and identify potential anomalies. Cleanse and normalize your data to your own standards. Identify and remove duplicate records from your database. Validate and enrich address data. Link customers records into households.

**Average Rating:** 5.0/5.0

**Total Reviews:** 2

#### How Do G2 Users Rate Enlighten?

- **Quality of Support:** 10.0/10 (Category avg: 8.9/10)

#### Who Is the Company Behind Enlighten?

- **Seller:** [Innovative Systems](https://www.g2.com/sellers/innovative-systems)
- **Year Founded:** 1968
- **HQ Location:** Pittsburgh, Pennsylvania, United States
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=985ba0f30e96c84ac8e64679fd6fbe929eb7447d8a531903d7f5f33299a314d3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Finnovativesystemsinc%2F&secure%5Burl_type%5D=linkedin_company_website)  
151 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Large, 50% Medium

#### What Are Recent G2 Reviews of Enlighten?

**["Enlighten Me!"](https://www.g2.com/survey_responses/enlighten-review-7920502)**

**Rating:** 5.0/5.0 stars

_— Alvaro G._

[Read full review](https://www.g2.com/survey_responses/enlighten-review-7920502)

**["Innovative tool for improved functionality"](https://www.g2.com/survey_responses/enlighten-review-6490637)**

**Rating:** 5.0/5.0 stars

_— Anjali S._

[Read full review](https://www.g2.com/survey_responses/enlighten-review-6490637)

#### What Are G2 Users Discussing About Enlighten?

- [What is Enlighten used for?](https://www.g2.com/discussions/what-is-enlighten-used-for)

### [eQube®-DaaS Platform](https://www.g2.com/products/eqube-daas-platform/reviews)

eQube®-DaaS is a Low/No-Code Data Integration & Analytics Platform that establishes a Data Fabric connecting various sources in an organization. It enhances visibility and enables insights through two suites: Integration and Analytics. Users can handle diverse data types, formats, speeds, systems, application or device without requiring coding, ensuring secure collaboration across networks. Deployable on-premises, in multi-cloud, or hybrid setups, eQube®-DaaS consists of six components: eQube®-MI (Migration & Integration), eQube®-TM (Transformation Modeler), eQube®-AG (API Gateway), eQube®-BI (Business Intelligence), eQube®-ADA (Augmented Data Analytics), and eQube®-DP (Data Profiler), for versatile data management solutions. These components can be used individually or in combination to create a comprehensive data management solution.

**Average Rating:** 5.0/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate eQube®-DaaS Platform?

- **Quality of Support:** 10.0/10 (Category avg: 8.9/10)
- **Automation:** 8.3/10 (Category avg: 8.7/10)
- **Identification:** 8.3/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind eQube®-DaaS Platform?

- **Seller:** [eQ Technologic](https://www.g2.com/sellers/eq-technologic)
- **Year Founded:** 2000
- **HQ Location:** Costa Mesa, US
- **Twitter:** @1eQTechnologic  
58 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bd4dc1c93c36c83f97392c633c94c65c80295dc9f07432c7935d0592e6ab0d8c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Feq-technologic&secure%5Burl_type%5D=linkedin_company_website)  
916 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

#### What Do G2 Reviewers Say About eQube®-DaaS Platform?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **user-friendly automation** of eQube®-DaaS, allowing everyone to easily create and deploy applications.
- Users value the **user-friendly interface** of eQube®-DaaS, making development accessible for all skill levels.
- Users value the **easy integrations** offered by the eQube®-DaaS Platform, enabling seamless app creation for everyone.
- Users value the **easy setup** of eQube®-DaaS, enabling quick creation and deployment of applications effortlessly.
- Users appreciate the **low-code/no-code development environment** of eQube®-DaaS, enabling easy integration and application deployment.

##### Cons

- Users find the **eQube®-DaaS Platform relatively expensive** , potentially limiting its accessibility for some organizations.

#### What Are Recent G2 Reviews of eQube®-DaaS Platform?

**["A Powerful Tool for Data Integration and Analytics"](https://www.g2.com/survey_responses/eqube-daas-platform-review-8929774)**

**Rating:** 5.0/5.0 stars

_— Ritik P._

[Read full review](https://www.g2.com/survey_responses/eqube-daas-platform-review-8929774)

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[Browse Data Quality Themes](/categories/data-quality/themes)

 ![Shalaka Joshi](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shalaka Joshi")
SJ

Researched and written by [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)

Updated March 10, 2026

Data quality tools analyze sets of information and identify incorrect, incomplete, or improperly formatted data. After profiling data concerns, data quality tools cleanse or correct that data based on previously established guidelines. Deletion, modification, appending, and merging are all common methods of data set cleansing or correction; data analysts, marketers, and salespeople are just a few positions that benefit from leveraging data quality solutions.

By targeting and cleaning data lists, data quality software allows businesses to establish and maintain high standards for data integrity. These solutions are also helpful for ensuring that data adheres to these standards, based on the required industry, market, or in-house regulations. This process of maintaining data integrity enhances the reliability of such information for business use. Data sets can range from customer contact information to granular financial statistics and much more.

Data quality software products may also share features or coexist with [master data management (MDM) software](https://www.g2.com/categories/master-data-management-mdm), [data integration software](https://www.g2.com/categories/data-integration), or [big data software](https://www.g2.com/categories/big-data). While tangentially related to data quality solutions from a functional standpoint, [address verification software](https://g2.com/categories/address-verification) differs through its distinct use cases, focus on physical location data, and reliance on authoritative location data sourcing to verify correctness.

To qualify for inclusion in the Data Quality category, a product must:

- Enable data profiling and identify data anomalies
- Provide basic data cleansing functionalities like record merge, append, and delete
- Allow data modification and standardization based on predefined rules
- Allow automated and manual cleaning options
- Offer preventive measures to preserve data integrity

Show More

* * *

## How Do You Choose the Right Data Quality Tools?

### What You Should Know About Data Quality Tools

### What are Data Quality Tools?

Data quality software is a set of various tools and services created to derive meaningful data for organizations. The tools condition the data to meet the specific needs of the users. Data quality is an integral part of data governance and data management processes through which all the data of the organization is governed. Data quality tools make it possible to achieve accuracy, relevancy, and consistency of data to make better decisions.

High-quality data can deliver desired outputs, whereas poor-quality data can result in disastrous insights. Organizations that are data-driven and frequently use data analytics for decision-making make data quality a prime factor in deciding its usefulness.

### What are the Common Features of Data Quality Tools?

Features of data quality tools mainly consider the dimensions or the metrics that define quality. These solutions can support some or all of the functions as mentioned below to deliver useful end results:

**Data cleansing:** It is the process of removing redundant, incorrect, and corrupt data. It is sometimes referred to as data cleaning or data scrubbing. Being one of the critical stages in data processing, most data quality tools have this feature. A few of the common data inaccuracies include incorrect entries and missing values.

**Data standardization:** It is a major step in organizing data. It involves converting data into a common format which makes it easier for users to access and analyze the data. This stage fulfills one of the parameters of data quality—consistency. Bringing the data into a single common format makes sure that data is consistent. Data standardization plays a key role in achieving accuracy which is another factor in data quality. It helps by giving users access to the latest cleansed and updated data.

**Data profiling:** Data profiling is the process of analyzing data, understanding the structure of data, and identifying the potential projects for the specified data. Data is minutely analyzed using analytical tools to detect characteristics like mean, minimum, maximum, and frequency.

**Data deduplication:** It is a process to eliminate excessive copies of data and reduce storage requirements. It is also called intelligent compression or single-instance storage or data dedupe.

**Data validation:** This feature ensures that data quality and accuracy are in place. In automated systems, there is minimal or almost no human supervision when the data is entered. This makes it essential to check that the data entered is correct. Common types of data validation include data check, code check, range check, format check, and consistency check. There also are certain data quality rules defined for data management platforms.

**Extract, transform, and load (ETL):** When organizations advance in the technology strategy, data from existing systems are transferred to the new systems. ETL forms a vital task of the data migration process. The end goal is to maintain data quality for the data that is being migrated. ETL stands third in the phases of the data quality lifecycle. Other phases are quality assessment, quality design, and monitoring. It involves extracting data from the data sources, transforming it by deduplicating it, and loading it into the target database.

**Master data management (MDM):** This feature manages quality data by organizing, centralizing, and enriching data. It includes non-transactional data like customer data and product data. MDM is important for enterprise data management.

**Data enrichment:** This feature is the process of enhancing the value and accuracy of data by integrating internal and external data with the existing information.

**Data catalog:** Data catalog hosts data and metadata to help users with their data discovery. Data quality monitoring tools have this feature to increase transparency in workflows.

**Data warehousing:** Data warehousing focuses on unifying data from various data sources. It ensures enterprise data quality by improving the accuracy of data.

**Data parsing:** Data usually is conformed to specific formats. For example address, telephone number, and email address all have data patterns. Parsing helps with such address verifications and also if the telephone numbers are conforming to the patterns. 

Other features of data quality software: [ERP Capabilities](https://www.g2.com/categories/data-quality/f/erp) and [File Capabilities](https://www.g2.com/categories/data-quality/f/file).

### What are the Benefits of Data Quality Tools?

Data is one of the most valuable resources for organizations today. Having high-quality data has the following advantages:

**Effective data implementation:** Good quality data improves the performance of teams and results in better business. It keeps all the departments of the organization on the same page and helps them work efficiently.

[**Improved customer relationships**](https://www.g2.com/categories/data-quality/f/crm) **:** Data quality plays a major role in retaining customers. It helps organizations track customer preferences and interests.

**Insightful decision-making:** The decision-makers always need up-to-date information to make better decisions. Data quality tools ensure business intelligence is attained through high-quality data. Good data quality helps in reducing the risk of bad decisions based on poor-quality data and increasing the efficiency of the decision-making process.

**Effective customer targeting:** With high-quality data at their fingertips, organizations can track the characteristics of their existing customers and create personas depending on what their customers prefer. This can further lead to forecasting the needs of the target market.

**Efficient product development:** Engineering teams in software development companies can audit their KPIs like engagement with the new product online. Auditing data points like button clicks can help engineers understand how ready their product is to be launched in the market or if there are any changes needed. 

**Data matching:** Effective data quality monitoring tools help in data matching. Data matching is the process of comparing two different data sets and matching them against each other. This process helps in identifying duplicate data within a [database](https://www.g2.com/categories/data-quality/f/database).

### Who Uses Data Quality Tools?

Data being the new fuel is driving organizations to figure out how it can be used to make business decisions. Below is a list of departments that utilize data quality management software :

**Data quality analysts:** They monitor the quality of data using data quality tools that help companies make informed decisions. They work with database developers to modify database designs as per the need. This persona primarily helps with data analysis, further improving the quality.

**Marketing teams:** Marketing managers must have high-quality data at use because good quality data helps drive efficient marketing campaigns in the future. Data quality tools help the teams filter unnecessary information and focus on the target market to gain a better understanding.

**IT teams:** Several times there are duplicate records which makes it difficult for IT teams to have data quality control in place. With the use of software, it is easier to govern the data and optimize data quality management.

### Challenges with Data Quality Tools 

Data quality changes with what is fed into the system. Sometimes there are a few of the below-mentioned difficulties faced while using data quality tools:

**Duplicated data:** Data deduplication tools are a must before passing over the data to the next steps. Since large amounts of data are generated through various disparate sources, it is often flawed, or some entries are duplicated. However, deduplication tools can identify the same data points and assign them for deduplication. 

**Lack of complete information:** Manual entries can cause incomplete information or not having information for every dataset. This could cause data quality tools to underperform.

**Heterogenous formats:** Inconsistent data formats are always a common pain point for data analysts. While working with data outsourcing services providers, it is recommended to specify preferred formats.

### How to Buy Data Quality Tools?

#### Requirements Gathering (RFI/RFP) for Data Quality Software

Depending upon the industry, there are a variety of data quality dimensions that must be kept in mind before the purchase of the software. Data management strategy is expected to address data governance requirements. Along with it, there are other requirements like data retention and archiving. An RFI or RFP from vendors helps to optimize the evaluation process. 

#### Compare Data Quality Products

**Create a long list**

To begin with, organizations should make a list of data quality software vendors providing features like data profiling, data preparation, deduplication, and other relevant features depending on the results they are looking to achieve.

**Create a short list**

On the basis of the fulfillment of primary requirements, the next step covers shortlisting the vendors by asking a few questions like:

- Do they provide automation in their software?
- How do the products/tools maintain performance and scale?
- What are their support timings and escalation procedures?

**Conduct demos**

Demos are an efficient way of verifying which vendor fits the bill. It gives the organization an in-depth understanding of the software. Organizations can also get answers to how well-stacked the vendor is. Usually, demos for data quality software would include the presentation of various tools and capabilities of the software such as data standardization feature, metadata management, and data quality management to name a few.

#### Selection of Data Quality Tools

**Choose a selection team**

The team involved in making this decision must include relevant decision makers. A chief marketing officer, who often needs clean data to nurture leads from their team, can test the tools during the demo. The next member to be kept in the loop is the sales lead. Data quality is equally important for the sales workforce as they want to focus more on revenue generation than just updating the data in the CRM. Data analysts are also involved since they are the ones who use these tools for data quality assessments. Along with it, data quality analysts are included in the team because they use the software to examine the data for quality requirements depending on different departments and share this processed data with them.

**Negotiation**

Because data quality is of utmost importance, it is advisable to choose the right tools for assessment. Tools that work in real time and that can be used easily by business users are something organizations want to have. It is advisable to look at the pricing of the software, if there are any additional costs, and also if the vendor offers any discount. Many data quality tools are available in both cloud and on-premises structures. It is better to have tools in the cloud as manual data quality monitoring for enterprise data could be difficult for one person or even a team.

**Final decision**

The decision to buy data quality software has to be taken by the teams involved throughout the buying process. Sales, marketing, and data analyst teams can benefit from buying the right data quality software.

### Data Quality Trends

**Data warehouse modernization**

Data warehouse modernization helps the current data warehouse environment work in synchronization with rapidly changing requirements. Organizations are coping with managing the expansion of data and data systems by modernizing the data warehouse. This emerging trend focuses on data automation to achieve the desired quality of data and business practices alike.

**Modern data hubs**

Data hubs are data storage architectures with a seamless flow of data that follow the hub and spoke model. Modern data hubs have features like data storage, harmonization, governance, metadata, and indexing. These features indicate that data hubs are more efficient than data consolidation.

**Data democratization**

Recently, organizations are making data available to independent business functions. This is to improvise transparency and consistency amongst all the departments in the organization. Advancements in visualizations have made data visibility easier at a technical level and as the trend progresses, it is expected to have the same effect on non-technical users, i.e., ease of access to data.

**Machine learning (ML) algorithms in data quality** 

Machine learning (ML) algorithms have become important for a company's data management strategy. Enterprise data is usually big data which makes it essential to have automation. Machine learning algorithms can make it possible to automate the process giving end results. ML algorithms help in improving data quality scores by identifying wrong data, incomplete data, duplicate data, and also help in performing functions like clustering, detecting anomalies, and association rule mining.