What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in big data & business intelligence services category. Our data sources in big data & business intelligence services category include;
Big data analytics services enable businesses to clean, explore, and model data to extract valuable insights and observe business trends and opportunities.
Big data analytics companies manage structured and unstructured data to deliver data science and visualization, business intelligence, and customer relationship management solutions. If you’d like to learn about the ecosystem consisting of Big Data & Business Intelligence Services and others, feel free to check AIMultiple Business Services.
AIMultiple is data driven. Evaluate 359 services based on
comprehensive, transparent and objective AIMultiple scores.
For any of our scores, click the information icon to learn how it is
calculated based on objective data.
*Products with visit website buttons are sponsored
Intellicus is one of the leading business intelligence and big data analytics software providers.
We use the data sources on the side for ranking solutions and awarding badges in big data & business intelligence services category. Our data sources in big data & business intelligence services category include;
review websites
social media websites
search engine data for branded queries
According to the weighted combination of 7 data sources
Talend Cloud API Services
Softweb Solutions Inc
Melon
Infopulse
Avenga
Taking into account the latest metrics outlined below, these are the current big data & business intelligence services market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.
Talend Cloud API Services
Ciklum
Melon
Softweb Solutions Inc
Intellicus
These are the number of queries on search engines which include the brand name of the solution. Compared to other Business Services categories, Big Data & Business Intelligence Services is more concentrated in terms of top 3 companies’ share of search queries. Top 3 companies receive 60%, 20% more than the average of search queries in this area.
143 employees work for a typical company in this solution category which is 122 more than the number of employees for a typical company in the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 35 companies with >10 employees are offering big data & business intelligence services. Top 3 products are developed by companies with a total of 10k employees. The largest company building big data & business intelligence services is iSoftStone with more than 7,000 employees.
Taking into account the latest metrics outlined below, these are the fastest growing solutions:
Talend Cloud API Services
Softweb Solutions Inc
Melon
Infopulse
Avenga
We have analyzed reviews published in the last months. These were published in 4 review platforms as well as vendor websites where the vendor had provided a testimonial from a client whom we could connect to a real person.
These solutions have the best combination of high ratings from reviews and number of reviews when we take into account all their recent reviews.
This data is collected from customer reviews for all Big Data & Business Intelligence Services companies. The most positive word describing Big Data & Business Intelligence Services is “Easy to use” that is used in 1% of the reviews.
According to customer reviews, most common company size for big data & business intelligence services customers is 1,001+ employees. Customers with 1,001+ employees make up 49% of big data & business intelligence services customers. For an average Business Services solution, customers with 1,001+ employees make up 45% of total customers.
These scores are the average scores collected from customer reviews for all Big Data & Business Intelligence Services. Big Data & Business Intelligence Services is most positively evaluated in terms of "Customer Service" but falls behind in "Likelihood to Recommend".