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Smart Analytics
Washington, United States
B
51-100 Employees
2016
Key takeaway
The company specializes in developing software products for business analytics and data management, focusing on providing users with validated and harmonized data from various sources. Their use of advanced analytical tools allows organizations to extract insights and make informed, data-driven decisions.
Reference
Core business
Smart Analytics | Data-Driven Software Development
Data management and business intelligence software development company that help organizations to make cost-effective data-driven decisions.
ACTIVE ANALYTICS LTD.
Hereford, United Kingdom
A
1-10 Employees
-
Key takeaway
Active Analytics specializes in providing data analytics solutions, focusing on developing applications that serve as analytical engines. They offer tailored training in statistics and machine learning, ensuring clients can effectively utilize programming languages and tools for comprehensive data analysis.
Reference
Core business
Active Analytics Ltd - About
OpenAnalytics
Antwerp, Belgium
A
11-50 Employees
2013
Key takeaway
Open Analytics specializes in supporting the data analysis process through its expertise in mathematics, statistics, engineering, and computer science. They offer services and products that enhance data analytics, including the ShinyProxy platform for deploying Shiny apps.
Reference
Core business
Open Analytics
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Graphext
Madrid, Spain
A
11-50 Employees
2017
Key takeaway
The company is revolutionizing the data analytics software landscape by enabling users to freely explore data and uncover meaningful insights. Their integration with Notion facilitates the creation of performance reports and user segmentation, while also providing tools for audience analysis and campaign performance prediction.
Reference
Product
Data Analytics Software | Data Science Glossary
Be Data Solutions
Birmingham, United Kingdom
A
11-50 Employees
2021
Key takeaway
The company specializes in data analytics, offering a comprehensive approach that transforms data into tangible business value. With extensive experience and a focus on data strategy and engineering, they help organizations leverage analytics to enhance decision-making and drive growth.
Reference
Service
Data Analytics - Be Data Solutions
With an ever-increasing amount of data available, the challenge many businesses experience is how to use it to generate a return.
InetSoft Technology
Piscataway Township, United States
B
101-250 Employees
1996
Key takeaway
InetSoft specializes in data analytics software optimized for cloud computing and Software-as-a-Service, offering flexible options for deployment and embedding. Their solutions provide powerful analytics and visual dashboards, making advanced analytics accessible across various industries and business functions.
Reference
Core business
Data Intelligence Software Pioneer Makes Advanced Analytics Accessible
DB ANALYTICS LTD
London, United Kingdom
A
1-10 Employees
-
Key takeaway
DB Analytics Ltd specializes in high technology data-based solutions, offering custom data analytics software tailored to meet individual business needs. With a focus on business intelligence and a team experienced in various analytics tools, they ensure timely results and effective decision-making support for their clients.
Reference
Product
Technology – DB Analytics
Cadran Analytics
Terschuur, Netherlands
A
1-10 Employees
2017
Key takeaway
Cadran Analytics, a Tableau partner, empowers businesses to harness their data through advanced Business Intelligence and Analytics tools, enabling quick and valuable insights. With expertise in Tableau and R, they offer comprehensive data analytics solutions, helping organizations become data-driven.
Reference
Core business
Cadran Analytics | Business Intelligence & Data Analytics
Als Tableau partner helpt Cadran Analytics u met het opzetten van Business Intelligence & Analytics. Ontdek de kracht van BI en maak uw data waardevol.
E-mergo
Delft, Netherlands
A
51-100 Employees
2001
Key takeaway
The company offers data analytics solutions using software from Qlik and Microsoft. Microsoft Power BI is highlighted as an interactive data visualization tool that helps organizations make data-driven decisions by combining data from various sources into user-friendly dashboards.
Reference
Product
Qlik GeoAnalytics - Ontdek de kracht van Location Analytics
Ontdek hoe jouw bedrijf kan profiteren van geografische datavisualisaties met Qlik GeoAnalytics. Bekijk hier de functies en toepassingen.
Ensior B.V.
Driebergen-Rijsenburg, Netherlands
A
11-50 Employees
2002
Key takeaway
Ensior specializes in data analytics, offering a comprehensive range of solutions from the SAP BI portfolio, including SAP Web Intelligence and SAP Analytics Cloud. They provide ready-to-use reporting and analysis tools, ensuring organizations gain insight and structure from their data.
Reference
Service
Business Analytics - Ensior
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Data Analytics Software is a powerful tool designed to analyze, interpret, and visualize data for informed decision-making. These applications process large volumes of data from various sources, enabling users to uncover trends, patterns, and insights that might not be immediately apparent. By employing techniques such as statistical analysis, data mining, and predictive modeling, this software helps organizations improve efficiency, enhance customer experiences, and gain a competitive edge in their respective markets. Additionally, functionalities may include dashboards, reporting features, and integration capabilities with other business systems, making it an essential component for data-driven strategies.
Data analytics software enhances business decision-making by transforming raw data into actionable insights. Organizations can analyze trends and patterns to understand customer behavior, operational efficiency, and market dynamics. This software enables real-time data processing, allowing decision-makers to respond promptly to changes and make informed choices. Furthermore, advanced analytics features, such as predictive modeling and data visualization, empower businesses to forecast future scenarios. By leveraging these insights, companies can optimize strategies, reduce risks, and ultimately drive profitability. The integration of data analytics into business operations fosters a data-driven culture, where decisions are backed by empirical evidence rather than intuition.
1. Data Visualization
Good data analytics software should offer robust data visualization capabilities. This includes a variety of chart types and customizable dashboards that allow users to interpret complex data sets easily.
2. Integration
Consider how well the software integrates with existing systems and data sources. Seamless integration ensures that data from multiple platforms can be consolidated and analyzed efficiently.
3. User-Friendliness
Usability is crucial. The software should have an intuitive interface that accommodates both technical and non-technical users, allowing teams to collaborate effectively.
4. Scalability
Choose software that can grow with your business. Scalable solutions can handle increasing volumes of data and more complex analytical needs as your organization expands.
5. Advanced Analytical Features
Look for features such as predictive analytics, machine learning capabilities, and real-time data processing. These functionalities can provide deeper insights and help inform strategic decisions.
Data analytics software prioritizes data security and privacy through a combination of robust encryption methods, access controls, and compliance with regulatory standards. Encryption protects data both at rest and in transit, ensuring that sensitive information remains secure from unauthorized access. Access controls allow organizations to define who can view or manipulate data, minimizing the risk of breaches. Additionally, many providers integrate privacy features such as data anonymization and pseudonymization, which help safeguard individual identities while analyzing datasets. Compliance with regulations like GDPR and HIPAA further ensures that data handling practices meet stringent legal requirements, fostering trust and confidence among users.
Data analytics software typically offers extensive integration capabilities, allowing businesses to connect with various data sources and third-party applications seamlessly. These integrations enable users to import data from databases, cloud services, and other software tools, facilitating a comprehensive analysis of information across different platforms. Moreover, many data analytics solutions support APIs (Application Programming Interfaces) and connectors that enhance their flexibility. This allows organizations to tailor their analytics processes to specific needs, ensuring that they can leverage real-time data and gain deeper insights into their operations. The ability to integrate with popular tools like CRM systems, ERP software, and marketing platforms further enhances the usability and effectiveness of data analytics software.
Some interesting numbers and facts about your company results for Data Analytics Software
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 8045 |
| Amount of suitable service providers | 7342 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1996 |
| Youngest suiting company | 2021 |
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Some interesting questions that has been asked about the results you have just received for Data Analytics Software
What are related technologies to Data Analytics Software?
Based on our calculations related technologies to Data Analytics Software are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Data Analytics Software?
Start-Ups who are working in Data Analytics Software are Be Data Solutions
Which industries are mostly working on Data Analytics Software?
The most represented industries which are working in Data Analytics Software are IT, Software and Services, Other, Consulting, Marketing Services, Finance and Insurance
How does ensun find these Data Analytics Software Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
