7 Best Data Aggregation Companies
Companies now have realized that data is a rich source of information and and thus are focusing on using specialized services from Data Aggregation Companies. This is very key for the growth of any enterprise.
Table of Contents
However, this data is not normally available and if available, it’s not normally stored in a single and centralized location. It’s up to the enterprise to look for the sources of data that it needs to draw insights from and bring it together for analytics, a process known as Data Aggregation.
In this article, you will be learning about the best Data Aggregation Companies in the present market.
Table of Contents
- What is Data Aggregation?
- What is the Data Aggregation Process?
- 7 Best Data Aggregation Companies
- Manual vs Automated Data Aggregation
- Limitations of these Data Aggregation Companies
- Conclusion
What is Data Aggregation?
Data Aggregation refers to the process of collecting and presenting data in a summarized format for analytics with an aim of achieving business objectives. Data Aggregation plays an important role in data warehousing as it helps businesses to make decisions based on huge amounts of data. It gives companies the ability to forecast future trends and it facilitates predictive modeling.
During Data Aggregation, data should be collected based on the information provided by the user and the needs of the business. In most cases, the data is collected from multiple sources and put in a summary form for analysis. This is a very crucial step because the accuracy of insights from data analysis is heavily dependent on the amount and the quality of data that has been used.
To get accurate results, companies should gather high-quality and large enough volumes of data. Data Aggregation is a useful technique for everything including finance, product, pricing, marketing strategies, operations, etc.
What is the Data Aggregation Process?
There are many Data Aggregation Tools available in the market. Data Aggregation companies The Data Aggregation process generally takes place in 3 steps, listed below:
- Data Collection: It includes collecting data from different data sources. All the business data exists in multiple Databases in heterogeneous format and needs Data Pipelines to load data to common storage. Though, manually collecting data from multiple sources can be a quite tedious task. With Data Sources and Volumes growing at an unprecedented rate, you may want to employ an Automated Data Integration tool (like Hevo Data) for a smooth data aggregation experience.
- Data Processing: After collecting data, the Data Aggregation companies use Data Aggregation tools to clean and transform data into an analysis-ready form. You can try Hevo for auto-mapping the fields and perform transformations using its drag and drop feature without writing a single line of code.
- Data Visualization: Once the data is ready for analysis, Reporting tools can use this data to generate immersive reports. Moreover, users can use this data to visualize it and generate actionable insights.
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As the ability of businesses to collect data explodes, data teams have a crucial role to play in fueling data-driven decisions. Yet, they struggle to consolidate the data scattered across sources into their warehouse to build a single source of truth. Broken pipelines, data quality issues, bugs and errors, and lack of control and visibility over the data flow make data integration a nightmare.
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Data Aggregation is one of the fastest-growing sectors in the world today. Due to the huge size of data that is generated by companies, a high number of Data Aggregation Companies have been started. However, your enterprise should be keen when looking for a Data Aggregation Company to help it achieve its goals.
Data Aggregation Companies differ based on factors such as coverage, pricing, focus, and developer friendliness. When looking for Data Aggregation Companies as an option for your enterprise, ensure that you put all the above factors into consideration.
The following are the best Data Aggregation Companies:
1) MX
MX has partnered with more than 1,800 financial institutions and 43 top digital banking providers in the U.S and Canada.
The company has made tremendous growth which has seen it move from just Data Aggregation into data visualization, personal finance management, and data analytics.
MX also works with other Data Aggregation Companies to route traffic to 48,000 connections, ensuring constant access to the underlying account data. Some of its public clients are USAA, BBVA Compass, Boeing Employees Credit Union, Ally, National Bank of Canada, and several others.
More information regarding MX can be found here.
2) Finicity
They are connected to up to 15,000 financial institutions in North America, with a 95% coverage of US deposit accounts and the same coverage in wealth management.
The company differentiates itself in credit decisions. It also acts as a credit reporting agency for some of its products.
Finicity has partnered with FICO and Experian and launched a new credit scoring methodology named UltraFICO that will expand credit accessibility for millions of Americans. Some of its public clients are FICO, Experian, Ellie Mae, Freddie Mac, Fannie Mae.
More information regarding Finicity can be found here.
3) Fiserv / CashEdge
Fiserv is a Data Aggregation service provider that has recorded tremendous success in the sector.
It acquired CashEdge in 2011, which now serves as the cornerstone of Fiserv’s account aggregation offering.
Fiserv has grouped its Data Aggregation tools into three different products serving the financial advisory industry, general audience, and another one to act like a PFM. One of its public clients is FinLocker.
More information regarding Fiserv / CashEdge can be found here.
4) Mobius Services
They are one of the best Data Aggregation service providers with an active presence in India, UK, and the USA.
They offer services such as data enrichment, digital marketing, retail content services, research and consulting. They focus on industries like information providers, travel and hospitality, oil and gas, e-commerce and retail, finance, real estate and shipping.
More information regarding Mobius Services can be found here.
All of the capabilities, none of the firefighting
Using manual scripts and custom code to move data into the warehouse is cumbersome. Frequent breakages, pipeline errors and lack of data flow monitoring makes scaling such a system a nightmare. Hevo’s reliable data pipeline platform enables you to set up zero-code and zero-maintenance data pipelines that just work.
- Reliability at Scale – With Hevo, you get a world-class fault-tolerant architecture that scales with zero data loss and low latency.
- Monitoring and Observability – Monitor pipeline health with intuitive dashboards that reveal every stat of pipeline and data flow. Bring real-time visibility into your ELT with Alerts and Activity Logs.
- Stay in Total Control – When automation isn’t enough, Hevo offers flexibility – data ingestion modes, ingestion, and load frequency, JSON parsing, destination workbench, custom schema management, and much more – for you to have total control.
All of this combined with transparent pricing and 24×7 support makes us the most loved data pipeline software on review sites.
Take our 14-day free trial to experience a better way to manage data pipelines.
Sign up here for a 14-Day Free Trial!5) Yodlee
Yodlee was founded in 1999 and it’s the father of the Data Aggregation industry. It went public in 2014 and Envestnet acquired it in 2015.
Research has shown that its data coverage is very comprehensive, and one of the best in the industry. Yodlee provides many tools and services, which makes it good for the financial sector for the provision of various services.
Yodlee has also introduced an incubator and a launchpad to encourage the uptake of its tools and data by the fintech industry. Some of its public clients are ING, Microsoft, Tandem, Transferwise, Personal Capital, and Experian.
More information regarding Yodlee can be found here.
6) 3iDataScraping
3iDataScraping is a Data Aggregation Company located in India and the USA.
They offer their clients with Data Aggregation services, web data extraction, web scraping, data capture, web data mining, and email scraping. They can help you turn your unstructured data into structured data.
3iDataScraping can scrape data from e-commerce websites like Amazon and eBay, online travel sites, and social media platforms like Facebook and LinkedIn.
More information regarding 3iDataScrapping can be found here.
7) Plaid and Quovo
This is a Data Aggregation service provider that has brought attention to the market for financial account data.
They have received a lot of attention from the media and a lot of capital. They pride itself on being the most developer-friendly data aggregator, and it promotes its APIs and coolness factor to banks and other firms in the fintech industry.
It upgraded its Auth product in February 2019, and it now claims to be covering every financial institution in America. In 2019, Plaid managed to acquire Quovo, a key player in the Data Aggregation sector. Some of its public clients are Venmo, Transferwise, MoneyLion, Upstart, Acorns, Robinhood, and Betterment.
More information regarding Plaid and Quovo can be found here.
Manual vs Automated Data Aggregation
Let’s look at the difference between manual and automated Data Aggregationmethods practiced by companies.
1) Manual Data Aggregation
Companies in their initial years usually use manual Data Aggregation because of lesser data volume and fewer business activities. They generally export data into spreadsheets and manually transform it to match other data sources.
Many times users manually match data columns by columns and row by row which is a very time-consuming and error-prone task. Even a minor mistake can cause a significant change in the outcome.
Organizations that use manual Data Aggregation carry risk with them, and it is a wrong practice when dealing with data. With this, it becomes more complex to identify patterns in data with naked eyes.
2) Automated Data Aggregation
Automated Data Aggregation process uses Data Aggregation Tools that simplify all the hustle for you. Companies use open-source Data Aggregation tools as well as 3rd party Data Aggregation Tools depending on the business requirements, and budget. These automated Data Aggregation Tools pull data from data sources even without writing a single line of code.
Hevo, a No Code Data Pipeline solution to simplify your Data Aggregation and Integration process. It offers one-click integration with 150+ Native Connectors for ETL or ELT purposes, drag-drop transformation capabilities, and in-built connectivity options with BI tools to streamline Data Analysis.
Limitations of these Data Aggregation Companies
Although the above companies will help you aggregate the data that your enterprise wants, you will experience the following challenges:
- You will have to wait for some time for your data to be ready for analysis. This may delay the data analysis and decision-making process for your enterprise.
- You’ll give third party access to your data. This may violate the privacy of your company, especially when dealing with sensitive data.
- They don’t offer tools for collecting and aggregating data in real-time, which means your enterprise may lack up-to-date data for analysis and decision making.
- Data Aggregation Companies charge a high amount of fee, which your enterprise may not be able to afford.
Conclusion
In this article, you learnt about Data Aggregation and why you need it for your enterprise. You also read about the best Data Aggregation Companies in the world. You can save a lot of time and resources by implementing a Data Aggregation tool to cater to your business needs.
If you are going to set up an effective Data Aggregations solution, then Hevo Data is the right choice for you! Hevo will help you simplify the Data Aggregation, ETL, and Data Management process of both the Data sources and the Data Destinations.
It provides a consistent & reliable solution to Aggregate, Clean & Enrich data from 150+ Data Sources in real-time and always has analysis-ready data in your desired destination.
Want to take Hevo for a spin? Sign Up here for a 14-day free trial and see the difference yourself!
Share your understanding of the Data Aggregation Companies in the comments below!
