Data Quality Software

Data quality software supports companies in ensuring that their data quality is sufficient enough for the requirements of their business operations, analytics and upcoming initiatives.

Data quality is crucial because higher quality data contributes to better business decisions.

This is especially relevant today because of increased automation. Automated process rely only on data and algorithms to make decisions. Given that modern algorithms increasingly rely on data as well, importance of data quality is increasing.

To achieve data quality goals, data quality software needs to work closely with master data management, data integration and big data solutions of the company.

Data quality is achieved through roles, technology, processes and culture. Important areas in data quality where these software support companies include:

  • Data governance
  • Data quality measurement/analytics
  • Automated or guided data quality improvement (also called data cleaning/cleansing)

Innovators Specialists Leaders Challengers Market Presence Momentum
Popularity
Satisfaction
Maturity
Pricing
Country

Compare Data Quality Software
Results: 152

AIMultiple is data driven. Evaluate 152 products based on comprehensive, transparent and objective AIMultiple scores. For any of our scores, click the icon to learn how it is calculated based on objective data.

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92.04205603311684
94.04527564450154
1.4545456019506595
100
0.05464254810095599
74.01307953065437
top10
4star
InsideView
4.28
100%
0%
100%
= 2 reviews
= 30 employees
= 20,000 visitors

The InsideView targeting intelligence platform powers the world's business conversations

66.86535707750298
67.56551413058735
100
68.68548486969914
0.03861176900509193
60.56394359974359
top5 , top10
5star
Integrate
4.52
100%
0%
100%
= 2 reviews
= 30 employees
= 20,000 visitors

The leader in demand orchestration, Integrate's enterprise solution unifies top of funnel demand generation to scale pipeline and accelerate revenue impact.

66.61772340287347
67.36021209314737
0.29090890981126777
71.65027921641843
0.007412080657227468
59.93532519040832
true
5star
Openprise Free trial available
4.91
100%
0%
100%
= 2 reviews
= 30 employees
= 20,000 visitors

The Openprise Data Orchestration Platform solves the garbage-in/garbage-out problem to make all your marketing and sales programs more successful.

63.93212350376509
64.80724128188439
0.6060607113500381
68.92453134100414
0
56.05606350069127
top10
5star
DemandTools
4.70
100%
0%
100%
= 2 reviews
= 30 employees
= 20,000 visitors

62.78591402352122
63.379088620651274
0.29090890981126777
67.41495896026731
0.009997690188818444
57.44734264935073
5star
Siftrock
4.80
100%
0%
100%
= 2 reviews
= 30 employees
= 20,000 visitors

Siftrock manages and mines marketing email replies & soft bounces to improve database hygiene & deliverability, surface human responses, and find sales opportunities

Popularity

Searches with brand name

These are the number of queries on search engines which include the brand name of the product. Compared to other product based solutions, data quality software is less concentrated in terms of top 3 companies' share of search queries. Top 3 companies receive 78% (0% less than average) of search queries in this area.

Web Traffic

Data quality software is a highly concentrated solution category in terms of web traffic. Top 3 companies receive 87% (9% more than average solution category) of the online visitors on data quality software company websites.

Satisfaction

Data quality software is less concentrated than average in terms of user reviews. Top 3 companies receive 40% (18% less than average solution category) of the reviews on data quality software company websites. Product satisfaction tends to be higher for more popular data quality software products. Average rating for top 3 products is 4.6 vs 4.2 for average data quality software product review.

Leaders Average Review Score Number of Reviews

Maturity

Number of Employees

Median number of employees that provide data quality software is 112 which is 52 more than the median number of employees for the average solution category.

In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 120 companies (72 more than average solution category) with >10 employees are offering data quality software. Top 3 products are developed by companies with a total of 501-1,000 employees. However, all of these top 3 companies have multiple products so only a portion of this workforce is actually working on these top 3 products.

IBM
Oracle
Microsoft
SAP

Learn More About Data Quality Software

What are the benefits of data quality software?

The earlier data quality issues are identified, the easier it is to resolve them. This is because once data is inserted into systems;

  • relationships between different data points become formed. Therefore removing a data point can break existing relationships and lead to unforeseen data quality issues.
  • strategic and operational decisions are made based on available data. Issues in data quality impact quality of business decisions and ultimately impact a company's success

Data quality systems allow companies to detect and resolve data quality issues before those changes in data are implemented, reducing cost of data quality issues

What are the use cases for data quality software?

Data quality is important for any business process, function or industry that relies on automated decision making systems. Nearly all modern businesses rely on automated decision making systems and data quality software is therefore relevant for almost all modern businesses.

For example, credit scoring and trading systems in finance and recommendation engines in e-commerce are automated decision making systems that are as good as the underlying data.

How does data quality software work?

Data quality issues arise due to improperly formatted, incomplete, incorrect or obsolete data. Data issues arise at the point of observation (e.g. due to faulty hardware), during data communication (e.g. due to issues in the communication channel) or during storage (e.g.overwriting correct data)

Data quality issues can be identified by data quality software as it analyzes existing data, compares data across different tables, databases and systems and compares private data against publicly available data.

Data quality software aims to resolve data quality issues by deleting, modifying or appending records. These can either be done automatically or issues can be highlighted to technical or business personnel.

What is data quality software?

Data quality software supports companies to measure and improve quality of their data. By acting as a single source of information regarding data quality, these software focus the organization on resolving critical data quality issues