At Ajackus, we understand that the appropriate tools in data analytics form the starting point of taking maximum advantage of your data. Our experience team works closely with you to identify the business needs of interest to you and then design and deliver appropriate open source-based data analytics solutions.
Expertise in Integration and Implementation
Commitment to Community and Collaboration
Focus on Security and Compliance
Ajackus's Open source solutions provide flexibility and customization with which organizations have the ability to change code or integrate functionalities dealing with increased volumes of data.
Ajackus offers you the promise of a trusted partner in the search for the right way to apply open source data analytics tools. Our approach is one of technical expertise integrated with the understanding of needs and considerations of our clients for real value delivery.
Our portfolio speaks for itself in high-profile collaborations with various organizations across different sectors.
Our team is committed to a comprehensive professional development program to update them on rapidly changing industry trends and technologies.
Our proactive account management team keeps the communication open through the engagement process.
We provide tailored consulting and implementation services for open source data analytics tools, ensuring that our solutions align with your unique business requirements
Open source analytics costs one less money; it offers flexibility in customization, full transparency in operations, has a strong community of supporters behind them, and scales with business needs.
Yes! Most open source analytics packages have APIs or connectors that enable easy integration with any existing database or application.
While no licensing is paid, some possible costs may arise on behalf of hosting infrastructure, maintenance, training on new systems, or hiring external consultants in case such functions are delegated.
There are a few open-source tools that are user-friendly, such as Metabase. However, other tools require knowledge of programming languages, for example, Python and R, or even understanding query languages in databases, like SQL.
Yes! Most open-source analytics platforms are good at real-time processing capabilities. This means organizations easily begin analyzing data as it comes in in real time.
Some of these limitations may include a steeper learning curve compared to user-friendly proprietary solutions, potential lack of dedicated customer support unless you opt into paid enterprise versions, or features are limited compared against commercial counterparts depending on specific use cases.
Let’s get started today in collaborating to unlock the power of open-source data analytics within your organizational strategy. Get in touch with us now, and we’ll schedule an initial consultation that is designed to understand your requirement in detail while outlining actionable steps moving forward!