Online Data Aggregation
What is Data Aggregation? Examples of Data … – Import.io
In this post, we’ll explain what data aggregation is, give an example of data aggregation, and provide use cases for the finance, retail, and travel industries. We’ll also tell you how organizations can use web data tools as a more efficient solution.
What is data aggregation?
Data aggregation is the process of gathering data and presenting it in a summarized format. The data may be gathered from multiple data sources with the intent of combining these data sources into a summary for data analysis. This is a crucial step, since the accuracy of insights from data analysis depends heavily on the amount and quality of data used. It is important to gather high-quality accurate data and a large enough amount to create relevant results. Data aggregation is useful for everything from finance or business strategy decisions to product, pricing, operations, and marketing strategies.
What is an example of aggregate data?
Here is an example of aggregate data in business:
Companies often collect data on their online customers and website visitors. The aggregate data would include statistics on customer demographic and behavior metrics, such as average age or number of transactions. This aggregated data can be used by the marketing team to personalize messaging, offers, and more in the user’s digital experience with the brand. It can also be used by the product team to learn which products are successful and which are not. And furthermore, the data can also be used by company executives and finance teams to help them choose how to allocate budget towards marketing or product development strategies.
What is data aggregation in the financial and investing sectors?
Finance and investment firms are increasingly basing their recommendations on alternative data. A large portion of that data comes from the news, since investors need to stay up-to-date on industry and company financial trends. So, financial firms can use data aggregation to gather headlines and article copy and use that data for predictive analytics, to find trends, events, and shifting views that could affect the finances of the companies and products they are tracking.
This market information is available on news websites for free, but it is spread across hundreds of websites. Combing through each individual website manually is time-consuming and may produce unreliable datasets due to missing data. We’ll talk more about how financial and investment firms can speed up the process in this use case at the end of this post.
What is data aggregation in the retail industry?
The retail and ecommerce industries have many possible uses for data aggregation. One is competitive price monitoring. Competitive research is necessary to be successful in the ecommerce and retail space. Companies have to know what they’re up against. So, they must always be gathering new information about their competitors’ product offerings, promotions, and prices. This data can be pulled from competitor’s websites or from other sites their products are listed on. In order to get accurate information, the data needs to be aggregated from every single relevant source. That’s a tall order for manual web data analysis.
Another way retail and ecommerce companies use data aggregation is to gather images and product descriptions to use on their site. These often come from manufacturers, and it is much easier to reuse the already-existing images and descriptions from them than to craft your own. Manually gathering product listings or competitor prices is time consuming and makes it almost impossible to make sure it is constantly up-to-date. After we take a look at the travel industry, we’ll tell you how retail and ecommerce companies can aggregate and combine data more efficiently.
What is data aggregation in the travel industry?
Data aggregation can be used for a wide range of purposes in the travel industry. These include competitive price monitoring, competitor research, gaining market intelligence, customer sentiment analysis, and capturing images and descriptions for the services on their online travel sites. Competition in the online travel industry is fierce, so data aggregation or the lack thereof can make or break a travel company.
Travel companies need to keep up with the ever-changing travel costs and property availability. They also need to know which destinations are trending and which audiences they should target with their travel offers. The data needed to gain these insights is spread across many places on the internet, making it difficult to gather manually. That’s where our data extraction and aggregation service, Web Data Integration, comes in.
Data Aggregation with Web Data Integration
Web Data Integration (WDI) is a solution to the time-consuming nature of web data mining. WDI can extract data from any website your organization needs to reach. Applied to the use cases previously discussed or to any field, Web Data Integration can cut the time it takes to aggregate data down to minutes and increase accuracy by eradicating human error in the data aggregation process. This allows companies to get the data they need, when they need it, from wherever they need it. All with built-in quality control to ensure accuracy.
WDI not only extracts and aggregates the data you need, it also prepares and cleans the data and delivers it in a consumable format for integration, discovery and analysis. So, if your company needs accurate, up-to-date data from the web, Web Data Integration is right for you.
Contact a data expert today to discuss how Web Data Integration can fit into your organization’s workflow.
Continued Reading
Data Analysis: What, How, and Why to Do Data Analysis for Your Organization
How to Make External Data Standardization More Efficient & Valuable With Web Data Integration
Web Data Integration: Revolutionizing the Way You Work with Web Data
What is Data Aggregation? Examples of Data … – Import.io
In this post, we’ll explain what data aggregation is, give an example of data aggregation, and provide use cases for the finance, retail, and travel industries. We’ll also tell you how organizations can use web data tools as a more efficient solution.
What is data aggregation?
Data aggregation is the process of gathering data and presenting it in a summarized format. The data may be gathered from multiple data sources with the intent of combining these data sources into a summary for data analysis. This is a crucial step, since the accuracy of insights from data analysis depends heavily on the amount and quality of data used. It is important to gather high-quality accurate data and a large enough amount to create relevant results. Data aggregation is useful for everything from finance or business strategy decisions to product, pricing, operations, and marketing strategies.
What is an example of aggregate data?
Here is an example of aggregate data in business:
Companies often collect data on their online customers and website visitors. The aggregate data would include statistics on customer demographic and behavior metrics, such as average age or number of transactions. This aggregated data can be used by the marketing team to personalize messaging, offers, and more in the user’s digital experience with the brand. It can also be used by the product team to learn which products are successful and which are not. And furthermore, the data can also be used by company executives and finance teams to help them choose how to allocate budget towards marketing or product development strategies.
What is data aggregation in the financial and investing sectors?
Finance and investment firms are increasingly basing their recommendations on alternative data. A large portion of that data comes from the news, since investors need to stay up-to-date on industry and company financial trends. So, financial firms can use data aggregation to gather headlines and article copy and use that data for predictive analytics, to find trends, events, and shifting views that could affect the finances of the companies and products they are tracking.
This market information is available on news websites for free, but it is spread across hundreds of websites. Combing through each individual website manually is time-consuming and may produce unreliable datasets due to missing data. We’ll talk more about how financial and investment firms can speed up the process in this use case at the end of this post.
What is data aggregation in the retail industry?
The retail and ecommerce industries have many possible uses for data aggregation. One is competitive price monitoring. Competitive research is necessary to be successful in the ecommerce and retail space. Companies have to know what they’re up against. So, they must always be gathering new information about their competitors’ product offerings, promotions, and prices. This data can be pulled from competitor’s websites or from other sites their products are listed on. In order to get accurate information, the data needs to be aggregated from every single relevant source. That’s a tall order for manual web data analysis.
Another way retail and ecommerce companies use data aggregation is to gather images and product descriptions to use on their site. These often come from manufacturers, and it is much easier to reuse the already-existing images and descriptions from them than to craft your own. Manually gathering product listings or competitor prices is time consuming and makes it almost impossible to make sure it is constantly up-to-date. After we take a look at the travel industry, we’ll tell you how retail and ecommerce companies can aggregate and combine data more efficiently.
What is data aggregation in the travel industry?
Data aggregation can be used for a wide range of purposes in the travel industry. These include competitive price monitoring, competitor research, gaining market intelligence, customer sentiment analysis, and capturing images and descriptions for the services on their online travel sites. Competition in the online travel industry is fierce, so data aggregation or the lack thereof can make or break a travel company.
Travel companies need to keep up with the ever-changing travel costs and property availability. They also need to know which destinations are trending and which audiences they should target with their travel offers. The data needed to gain these insights is spread across many places on the internet, making it difficult to gather manually. That’s where our data extraction and aggregation service, Web Data Integration, comes in.
Data Aggregation with Web Data Integration
Web Data Integration (WDI) is a solution to the time-consuming nature of web data mining. WDI can extract data from any website your organization needs to reach. Applied to the use cases previously discussed or to any field, Web Data Integration can cut the time it takes to aggregate data down to minutes and increase accuracy by eradicating human error in the data aggregation process. This allows companies to get the data they need, when they need it, from wherever they need it. All with built-in quality control to ensure accuracy.
WDI not only extracts and aggregates the data you need, it also prepares and cleans the data and delivers it in a consumable format for integration, discovery and analysis. So, if your company needs accurate, up-to-date data from the web, Web Data Integration is right for you.
Contact a data expert today to discuss how Web Data Integration can fit into your organization’s workflow.
Continued Reading
Data Analysis: What, How, and Why to Do Data Analysis for Your Organization
How to Make External Data Standardization More Efficient & Valuable With Web Data Integration
Web Data Integration: Revolutionizing the Way You Work with Web Data
What is Data Aggregation and how It Benefits Businesses?
Both marketers and agencies who have ever tried to manage marketing campaigns across many different platforms like Facebook, Adwords, and more know how overwhelming it can be at times to aggregate all the data from several entire process of data aggregation can take over 20 hours every week. Luckily, there is a solution to this problem. Platforms like Improvado, Adverity, Panoply, etc. are now available to help marketers save time and atforms like these automate the data aggregation process, letting you create the reports you need to view all of your campaign data in one place, in real time. Let’s take a closer look at what data aggregation is, how it can help your company, and what some of the best data aggregation platforms is Data Aggregation? Data aggregation is any process in which data is brought together and conveyed in a summary form. It is typically used prior to the performance of a statistical information drawn from the data aggregation and statistical analysis can then be used to tell you all kinds of information about the data you are looking at. In marketing, data aggregation usually comes from your marketing campaigns and the different channels you use to market to your customers. You can aggregate your data from one specific campaign, looking at how it performed over time and with particular cohorts. Ideally, though, you are aggregating the data from each specific campaign to compare them to each other – one grand data aggregation that tells you how your product is being received across channels, populations, and so can take a lot of time and effort. Luckily, there are now tons of software available that can do the work for you, so that you aren’t wasting half of your week simply picking through the Aggregation ExampleTo better understand what data aggregation is and how it works, we’ll look at an anizations collect vast amounts of data for their marketing needs. Information about customer interactions, marketing metrics, point of touch, and other insights bring clarity to the companies’ marketing efforts. However, these insights are often misaligned, duplicated, and confusing. Data aggregation helps businesses to cleanse and structure their data in a convenient and accessible way. With a dedicated data warehouse, analysts can access up-to-date information at any moment and manipulate it to uncover new marketing opportunities. As a result, marketers deliver consistent messaging to all their customers, personalize offers, and adjust marketing campaigns. Furthermore, this data can be used across the entire organization. For example, the sales team can verify new leads, while upper management can adjust the marketing strategy and change the marketing budget according to the departments’ Aggregation in the Context of MiddlewareWhen it comes to middleware for marketing analytics, there are three different activities and functions. For short, we refer to them as ETV (Extract, Transform, Visualize). Together, this is the workflow of extracting and preparing data from SaaS applications for analysis. For each of these three steps there is a software layer, meaning there are companies whose sole focus is to help marketers during each of these steps. 1. Extract — Data extraction layer 2. Transform — Data preparation layer3. Visualize/Analyze — Visualization and analytics layerHere at Improvado, we believe it’s important to provide marketers the freedom to work with tools that allow them to integrate and analyze their data without involving this article, we are discussing the extraction phase of middleware for analytics — taking all of the data that is stored in your many marketing databases and funneling it into one place for Data Aggregation vs. Automated Data AggregationAggregating data can be an extremely manual process, especially if your company is in early stages. Click the export button. Sort through an excel sheet. Reformat it to look like other data sources. Create charts to compare the performance/budget/progress of your multiple marketing like a familiar routine? You’re certainly not alone. Data aggregation is a necessary process for all marketers. It is the only way to know how campaigns are performing. This export/sorting/reformatting process is not unique or new – at some point or another, every marketer has experienced ankfully, we now also have the option to automate data aggregation. What does that look like, exactly? It looks like the implementation of a third party software – sometimes called Middleware – (like Improvado) that can pull data automatically from your marketing tools. Aggregating data is the first step in a successful marketing campaign analysis, so it is essential that you get this step right. Automating the process will improve your marketing results and ROI, because it will free up that much time to focus on other parts of you marketing analytic more about how data aggregation was implemented in Chacka, challenges they faced and Does Automated Data Aggregation Work? The automated data aggregation process works due to software that integrates with your data infrastructure. The aggregation solution extracts data from multiple sources to combine and bring it in a unified format. In terms of marketing, the platform pulls data from ad platforms, web analytics software, social media, and so on. Then, the system normalizes data with harmonization algorithms. They help to clean the data from duplicates, align different indicators with each other, and get rid of data inconsistencies. With all these operations, analysts receive analysis-ready insights that can be used for further research. Further, the data aggregation system stores information in a dedicated warehouse. It’s much easier to access insights with centralized data storage. Mind that the warehouse should be optimized for the processing of large data sets. Analytical databases are the best option for such sort of data nally, with the data in your warehouse, you can perform any actions with your data. For example, Improvado streamlines marketing insights to business intelligence tools. With pre-built dashboards, analysts get detailed charts and graphs that bring more understanding to their marketing efforts. Levels of Data AggregationWe’ve identified three levels of data aggregation – beginner, intermediate, and MASTER. Figure out which one you are, and how you can jump to the next ginner at Data AggregationA beginner in data aggregation isn’t really aggregating any data at all. To gain marketing insights, you look within your marketing may log into Google Analytics and see that one page is getting particularly high traffic bounce rates. So you use that information to create more opportunities for your customers to click through that page (and stay on your site) are making “data” informed decisions, but you aren’t necessarily collecting the data to do so, which means you are missing a lot of the big picture. Comparing the data of multiple channels is essential to making smart marketing decisions. How else are you going to know what marketing campaigns are working for your company? If you’re just looking at your data in the platform, you are missing termediate at Data AggregationYou have a marketing dashboard. It’s in an excel or google spreadsheet. You update it… weekly? Monthly? Every time you update the dashboard, you can see how your marketing campaigns are performing, comparing across channels to make the data informed decisions that you need to be, creating a marketing dashboard is challenging, so kudos to you if you are at this problem with this model? Creating a dashboard is time consuming, and maintaining it to gain insights is even more so. Still, it’s not a bad place to start. If you’re starting out, you can download our free marketing dashboard template here. Master at Data AggregationAt this level, you’ve seen how tedious marketing dashboards can be, and you are over it. How do you accelerate this process? By automating. Masters at Data Aggregation have an automated funnel set up, so they can see insights from their marketing data in real time. Marketing data aggregation tools like Improvado pipe your data from marketing platforms and send that data wherever you want it to go – into a data warehouse, a spreadsheet or straight into your visualization discussed above, when you cut out the time you are taking updating a marketing dashboard and clicking into different tabs and softwares, you free up that much more time to make informed, data-driven marketing decisions that will increase ROI. Who are they key players in Data Aggregation Software? Improvado – Medium Brands & EnterprisesWhat is Improvado? Improvado is an incredibly helpful data aggregation tool for marketers, because it was designed by marketers, for marketers. The platform lets you gather all campaign data into a single dashboard in real time, combined with the ability to view that data in automated reports and well designed custom should use Improvado? The tool is perfect for marketers, built specifically to focus on the marketing dilemma. Improvado provides a way to connect any marketing platform you may use. Along with this, the integrations with the platform run quite deep, pulling granular data from both the keyword and ad level, cleaning and normalizing it, and allowing marketers to see the whole picture. Possibly one of the biggest benefits of using the Improvado platform is its excellent customer support representatives. They are able to help you build out any custom dashboards and integrations however you want them. Data in Improvado can also be viewed in any BI tool you use, like Tableau or Looker, as well as the platform’s provado PricingImprovado pricing is done on a custom basis. The company can assess your business needs and give you pricing details during a call. You can schedule a free cal IntegrationsImprovado provides more than 200 integrations. Custom integrations can also be built out for additional data sources that you may need.
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Domo – for Executive-level DasshboardsWhat is Domo? Domo is data aggregation software that specializes in data visualization and business is best for C-level executives at enterprise companies looking for a company-wide (non-marketing specific) BI tool to create executive level important thing to note is that it is not specifically focused on marketing data, just business data in general. That means, it’s capacity is vast when it comes to business intelligence and executive dashboards company-wide, but may not be the best pick for aggregating and visualizing marketing data specifically, because marketing integrations are limited, the connectors don’t run as deeply and the tool overall may be too expensive for just the marketing team’s Marketing Integrations:52+See all marketing integrations Pricing:Pricing is offered on an annual subscription basis, and depends upon the number of users that need access. The company does offer a 30 day free – for Data TeamsWhat is Stitch? Stitch is a cloud-first, developer-focused data aggregation platform for rapidly moving data. The tool allows you to aggregate your data where you want it in a matter of should use Stitch? The platform is a simple, extensible ETL built for data teams. Users can extract data from many different sources, load that data into leading data platforms, and analyze is with leading PricingStitch offers a range of plans, starting at their free plan and up to $1, 000 per month. There is also an enterprise plan with custom IntegrationsStitch offers a little over 80 data sources. You can view the list of them here. FAQ What is data aggregation? Data aggregation is the process of accumulating data in a normalized and structured format. Data from disparate sources requires thorough optimization. With data aggregation, you can extract raw data, turn it into analysis-ready insights, and store it in the warehouse of your is data aggregation used for? Analysts use data aggregation to accelerate and facilitate the analysis process. Having insightful datasets in your data warehouse rather than a chaotic pile of raw information helps data scientists gain a different perspective on the research is an example of data aggregation? Advanced marketing specialists use data aggregation to gather actionable insights on their marketing performance. Automated systems such as Improvado or Adverity extract data from marketing data sources and align them with each other to facilitate further analysis. Then, platforms store data in a data warehouse and streamline insights to visualization tools to help advertisers create reports on their is data aggregation needed? Businesses aggregate their data to accelerate the analysis process and uncover previously overlooked insights. A well-structured data doesn’t require any manual manipulations, thus increasing the speed and accuracy of the nclusionIf you’re in the market for a marketing analytics platform to help you aggregate all your data into one place, you’ll likely want to review this list in detail. Each of the above softwares works well, and your pick should depend on your individual needs. If you can’t decide, book a free call with an expert. Our recommendation:Chek out The Best Marketing Analytics Tools & Software for 2022Best agency management software for marketing agenciesMarketing “Middleware” DemystifiedGlobal Digital Advertising Spend by Industry in 2021What is Data Aggregation and how It Benefits Businesses? Learn about Best Dashboard Software
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Frequently Asked Questions about online data aggregation
What is online data aggregation?
Data aggregation is the process of gathering data and presenting it in a summarized format. The data may be gathered from multiple data sources with the intent of combining these data sources into a summary for data analysis.Oct 22, 2019
What is data aggregation?
Data aggregation is any process in which data is brought together and conveyed in a summary form. It is typically used prior to the performance of a statistical analysis.Oct 8, 2021
What is data aggregation with example?
Data aggregation is a process where raw data is gathered and expressed in the form of a summary for statistical analysis. … For example, new data can be aggregated over a given period to provide statistics such as sum, count, average, minimum, maximum.Jun 25, 2021
