Data aggregation companies are a rudimentary part of the multi-billion-dollar industry of Business and Data Analytics. It is the elementary process of gathering raw information and presenting it in a basic yet condensed manner. It allows its consumer to analyze the critical aspects of the data and get an insight into everything there is to know from a statistical point of view.
The global data analytics market is expected to cross the 100 billion dollars mark in 3 years. It is solely because numerous big fish of the world’s economic market are choosing to market their product or services with the help of aggregated data. It allows them to narrow down their potential customers and limit their target audience.
How data aggregation is applied
In conventional marketing campaigns, we compare the response from potential customers and clients and see the performance of our business. Then, we analyze the data from one campaign and see how it performs compared to other campaigns. Furthermore, you can aggregate all the campaigns along with their performance altogether to get a broader look.
Data aggregation is used in various businesses. Some of these businesses include:
Websites
The internet has drastically changed marketing techniques. As a result, online businesses that include websites have profited the most from data aggregation. And it’s because most websites are content-driven. Therefore, the data aggregation work around the visitors’ locations, the time they spent on the website, and which content they spent the most on.
E-commerce websites
These websites’ marketing is also under the influence of data aggregation. Their data aggregation collects data like:
- amount of transactions per day
- visitor’s age
- visitor’s gender
- peak visiting time
- rush hours
E-commerce websites also use these tools to gather the Intel of their competitors. This allows them to sense their market conditions and what other promotional offers are already up.
Investment and financial firms
These firms are becoming heavily dependent on data collecting tools. For example, as most people sell or invest in stocks depending on the world’s current affairs, these firms aggregate the data based on the recent headlines and sift through articles to analyze and predict the market’s stability.
Healthcare institutions
As arbitrary as it may sound, data aggregation are making their way in the healthcare industry. However, it is an unorthodox method of analysis as there are many regulatory compliances involved. These tools function by comparing similar cases and analyzing them accordingly. Subsequently, this data comes in the use of healthcare professionals to inspect it and determine which treatment is the most effective in all these cases.
Best data aggregation
Any software or application that aggregates data is called an aggregation tool. There are numerous tools for aggregating data. However, we have narrowed down some of the latest and most efficient data aggregation in the market.
Microsoft Excel
MS Excel has been around for almost 40 years. It has revolutionized the processing of large amounts of data. Excel is an entry-level analytics tool that is best to prepare reports, pivot tables, etc. Furthermore, it also has the best computation abilities and graphing tools.
Sisense
Sisense is software that works directly through a single channel. It helps produce insight through interactive dashboards. Moreover, it helps prepare, analyze, visualize and organize your data according to the needs of your business and personnel.
Go Spot Check
Is one of the leading data collecting tools. It works by gathering field appropriate data in real-time and analyzing it instantaneously to allow users to finish their tasks efficiently.
Also has cell phone compatibility. It, therefore, makes it easy t share reports and information with your colleagues proficiently.
Alteryx
Alteryx majorly focuses on Analytic Process Automation. APA unites data science, machine learning, and business procedure on a single platform. As a result, it helps speed up digital transformation. Furthermore, its user compatibility is top-notch. Therefore, even non-technical staff can also easily use Alteryx.
Db Visualizer
Is a database management tool that helps visualize and consolidate vital information from various database applications? Assists developers by allowing them to manage numerous databases and customize tables. It is made possible by this tool’s drag/drop interface.
Additionally, is equipped with an advanced Structured Query Language editor. Therefore, it helps the analysts to write their own Structured Query Language queries.
Mongo Database
Is a free-to-use, No Structured Query language, and a documenting database. It supports various operating systems and is an open-source database.
Some main features of MongoDB include:
- indexing
- replication
- data aggregation
- ad hoc queries
- sharding