What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in data cleaning tools category. Our data sources in data cleaning tools category include;
Data cleansing tools help organizations clean data and solve data quality issues in databases and other data storage structures. Data cleansing solutions allow teams to ensure the quality and accuracy of data. Here are a few capabilities and features of data cleaning tools:
To be categorized as a data cleaning tool, a product must:
AIMultiple is data driven. Evaluate 12 services based on
comprehensive, transparent and objective AIMultiple scores.
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calculated based on objective data.
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We use the data sources on the side for ranking solutions and awarding badges in data cleaning tools category. Our data sources in data cleaning tools category include;
review websites
social media websites
search engine data for branded queries
According to the weighted combination of 7 data sources
DemandTools
Integrate.io
Melissa Clean Suite
WinPure Clean & Match
IBM InfoSphere Information Server
Taking into account the latest metrics outlined below, these are the current data cleaning tools market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.
DemandTools
Integrate.io
Melissa Clean Suite
WinPure Clean & Match
IBM InfoSphere Information Server
These are the number of queries on search engines which include the brand name of the solution. Compared to other Data categories, Data Cleaning Tools is more concentrated in terms of top 3 companies’ share of search queries. Top 3 companies receive 70%, 3% more than the average of search queries in this area.
4,985 employees work for a typical company in this solution category which is 4,964 more than the number of employees for a typical company in the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 10 companies with >10 employees are offering data cleaning tools. Top 3 products are developed by companies with a total of 300k employees. The largest company building data cleaning tools is IBM with more than 300,000 employees.
Taking into account the latest metrics outlined below, these are the fastest growing solutions:
DemandTools
Integrate.io
Melissa Clean Suite
WinPure Clean & Match
IBM InfoSphere Information Server
We have analyzed reviews published in the last months. These were published in 4 review platforms as well as vendor websites where the vendor had provided a testimonial from a client whom we could connect to a real person.
These solutions have the best combination of high ratings from reviews and number of reviews when we take into account all their recent reviews.
This data is collected from customer reviews for all Data Cleaning Tools companies. The most positive word describing Data Cleaning Tools is “Easy to use” that is used in 8% of the reviews. The most negative one is “Difficult” with which is used in 3.00% of all the Data Cleaning Tools reviews.
According to customer reviews, most common company size for data cleaning tools customers is 51-1,000 employees. Customers with 51-1,000 employees make up 42% of data cleaning tools customers. For an average Data solution, customers with 51-1,000 employees make up 41% of total customers.
These scores are the average scores collected from customer reviews for all Data Cleaning Tools. Data Cleaning Tools is most positively evaluated in terms of "Customer Service" but falls behind in "Ease of Use".