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Top Data Aggregation Companies

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60 companies for Data Aggregation

TMA Data Management's Logo

TMA Data Management

Polmont, United Kingdom

A

51-100 Employees

2016

Key takeaway

TMA specializes in data collection and aggregation for the UK energy industry, providing innovative software and assured data processes. With extensive experience and a commitment to empowering clients, TMA offers solutions that enable effective data management in both electricity and gas markets.

Reference

Service

» Data Collection & Aggregation

Harbor Health Systems, LLC's Logo

Harbor Health Systems, LLC

Newport Beach, United States

B

101-250 Employees

2001

Key takeaway

The company highlights that data aggregation offers extensive information on numerous providers, enhancing the decision-making process for payors. This approach facilitates access to a wide range of ancillary services, ultimately promoting quicker returns to work.

Reference

Core business

Provider Benchmarking

Dalta's Logo

Dalta

Brussels, Belgium

A

1-10 Employees

2021

Key takeaway

Dalta is a development studio that specializes in data aggregation, transforming data from various sources into valuable assets, making it visible and actionable.

Reference

Product

Data aggregation - Dalta

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Lipperhey's Logo

Lipperhey

Amsterdam, Netherlands

A

1-10 Employees

2009

Key takeaway

Dataprovider.com specializes in transforming the internet into a structured database, providing actionable insights and unique data intelligence that can enhance various applications.

Reference

Product

Technology Recipes | Dataprovider.com

At Dataprovider.com we transform the internet into a structured database of web data. Use our software to gain unique insights into companies.

AggData's Logo

AggData

DuPont, United States

B

11-50 Employees

2006

Key takeaway

AggData specializes in developing and updating comprehensive, accurate, and up-to-date data for over 4,500 businesses and organizations, making it a valuable partner for data aggregation. Their commitment to sourcing data directly and using advanced algorithms ensures that clients receive quality information that supports informed decision-making.

Reference

Core business

AggData | #1 Source For Locational Data

Entegrity LLC's Logo

Entegrity LLC

United States

B

1-10 Employees

2004

Key takeaway

Entegrity LLC offers a robust Data Aggregation Solution that efficiently handles daily aggregation and settlement processes for millions of AMI service points, enhancing the accuracy of settlement processes and maximizing clients' investments in AMI meters.

Reference

Core business

Data Aggregation and Settlements | Entegrity LLC

Entegrity Aggregation Settlement and Research Solution, Market Settlements, Data Aggregation

aggregatta ltd's Logo

aggregatta ltd

Sofia, Bulgaria

B

1-10 Employees

-

Key takeaway

Aggregatta Ltd specializes in Business Intelligence and Data Analytics, offering comprehensive services for the implementation and enhancement of SAP Business Analytics solutions. Their expertise in data and system migration, particularly SAP BW4HANA, positions them well for effective data aggregation strategies.

Reference

Core business

Home - aggregatta

With Us You’ll Get to Know Your Data Value-Added Nearshore Services within Europe in SAP Business Analytics What We Do Business Intelligence We provide full range of services for successful implementation of a SAP BW & BI project Data & System Migration SAP BW4HANA migration from SAP BW NetWeaver or third party data warehousing solutions […]

ZingGrid's Logo

ZingGrid

San Diego, United States

B

11-50 Employees

2015

Key takeaway

ZingGrid offers robust data aggregation features that allow users to specify or omit columns, utilize custom renderers, and generate aggregate rows and grand totals. With the ability to connect to databases or REST APIs, ZingGrid ensures seamless data management and presentation.

Reference

Product

Aggregation | Features | ZingGrid

Truver Inc.'s Logo

Truver Inc.

-

1-10 Employees

2012

Key takeaway

Truver offers a unique approach to data aggregation in the commodities markets, enabling the collection of commercial data while maintaining participant confidentiality. Their advanced language processing algorithms also provide automated analytics based on real-time data.

Reference

Core business

Aggregation no disclosure for commodities

MyDataProvider's Logo

MyDataProvider

Minsk, Belarus

C

1-10 Employees

2009

Key takeaway

MyDataProvider specializes in cloud-based software for web scraping and price monitoring, offering customized data extraction solutions to meet specific business needs. With a dedicated team and a proprietary web scraping tool, they assist e-commerce companies in effectively managing their information since 2009.

Reference

Core business

About company | MyDataProvider


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Use cases around Data Aggregation

A selection of suitable use cases for products or services provided by verified companies according to your search.

UseCase: Market research

Use case

Market research

software, hardware, technology, Automotive, E-Mobility, Corporate Intelligence, Astrology, Music Trends, Vehicle Specifications, Crypto

- Market Research and Competitive Analysis: Businesses can leverage corporate intelligence data provided by APIRobots to conduct thorough market research and understand competitive landscapes. - Companies can make informed business decisions using data related to Fortune 1000 companies available through APIRobots. - Businesses can enhance their customer experience by enriching their existing data with specialized datasets provided by APIRobots.

UseCase: Market research

Use case

Market research

software, hardware, technology, Automotive, E-Mobility, Corporate Intelligence, Astrology, Music Trends, Vehicle Specifications, Crypto

- Market Research and Competitive Analysis: Businesses can leverage corporate intelligence data provided by APIRobots to conduct thorough market research and understand competitive landscapes. - Companies can make informed business decisions using data related to Fortune 1000 companies available through APIRobots. - Businesses can enhance their customer experience by enriching their existing data with specialized datasets provided by APIRobots.

Things to know about Data Aggregation

What is Data Aggregation?

Data aggregation involves the process of collecting and compiling data from various sources to provide a comprehensive view of information. This practice is essential for organizations that seek to analyze large volumes of data efficiently. By consolidating data, businesses can derive insights, identify trends, and make informed decisions, ultimately enhancing their operational effectiveness. Aggregation can take place in real-time or through periodic updates, depending on the needs of the organization. With the growing importance of data-driven strategies, many providers offer advanced data aggregation services, enabling businesses to streamline their data management processes and improve overall data quality.


How does Data Aggregation work?

Data aggregation involves collecting and compiling data from various sources into a single, coherent dataset. This process typically includes extracting data from databases, APIs, or web scraping, followed by cleaning and transforming it to ensure consistency and accuracy. Once aggregated, the data can be analyzed or presented in a user-friendly format, enabling organizations to derive insights, identify trends, and make informed decisions. By leveraging data aggregation, businesses can access a comprehensive view of information, enhancing their ability to conduct market research, perform competitive analysis, and optimize operational efficiency.


What are the benefits of Data Aggregation?

1. Improved Decision-Making
Data aggregation enables businesses to collect and analyze data from multiple sources, providing a comprehensive view of information. This holistic perspective aids in making informed decisions that drive growth and efficiency.

2. Enhanced Insights
By synthesizing large amounts of data, organizations can uncover trends and patterns that may not be visible when analyzing data in isolation. This leads to more actionable insights and a better understanding of market dynamics and customer behavior.

3. Time and Cost Efficiency
Automating the data aggregation process reduces the time and resources needed for data collection and analysis. Companies can streamline operations and focus on strategic initiatives rather than manual data handling.

4. Improved Data Quality
Consolidating data from various sources often results in cleaner, more accurate datasets. This enhances the overall quality of the information used for analysis, leading to more reliable outcomes.


What industries commonly use Data Aggregation?

Various industries leverage data aggregation to enhance their operations and decision-making processes. 1. Finance
The finance sector utilizes data aggregation to compile market data, customer information, and transaction records, aiding in risk assessment and investment strategies.

2. E-commerce
E-commerce businesses rely on data aggregation to analyze consumer behavior, track sales trends, and optimize inventory management for better customer experiences.

3. Healthcare
In healthcare, data aggregation consolidates patient records and treatment outcomes, facilitating improved patient care and streamlined operations.

4. Marketing
Marketing agencies employ data aggregation to gather insights from various sources, enabling targeted campaigns and enhancing customer engagement.

5. Telecommunications
Telecommunications companies use data aggregation to analyze usage patterns, improve service offerings, and manage network performance effectively.


What challenges are associated with Data Aggregation?

Data aggregation presents several challenges that organizations must navigate to ensure effective use of aggregated data. One significant issue is the data quality, as the accuracy and reliability of aggregated information can vary widely. Poor quality data can lead to misleading conclusions and impact decision-making processes. Another challenge involves data integration, especially when dealing with diverse data sources. Merging data from different platforms often requires significant effort to standardize formats, ensure compatibility, and maintain consistency across datasets. Additionally, compliance with regulations such as GDPR or CCPA is crucial, as organizations must be vigilant about how they collect, store, and use personal information during the aggregation process.


Insights about the Data Aggregation results above

Some interesting numbers and facts about your company results for Data Aggregation

Country with most fitting companiesUnited States
Amount of fitting manufacturers5282
Amount of suitable service providers5092
Average amount of employees1-10
Oldest suiting company2001
Youngest suiting company2021

Geographic distribution of results





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Frequently asked questions (FAQ) about Data Aggregation Companies

Some interesting questions that has been asked about the results you have just received for Data Aggregation

Based on our calculations related technologies to Data Aggregation are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce

Start-Ups who are working in Data Aggregation are Dalta

The most represented industries which are working in Data Aggregation are IT, Software and Services, Other, Consulting, Marketing Services, Finance and Insurance

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Data Aggregation results by various countries

Related categories of Data Aggregation