Discover the top 5 self-service analytics tools and software for 2024, empowering businesses to make data-driven decisions with ease and efficiency.
Table of Contents
Introduction
1. Alteryx Platform
2. Cognos Analytics
3. Looker
4. MicroStrategy
5. Einstein Analytics Platform
Conclusion
Introduction
In recent years, self-service analytics has been the best approach in the field of business intelligence (BI) that aids analytics users in accessing, analyzing, and sharing their data to create actionable insights without the expertise or extra skill set on data analytics. Therefore, with the increased reliance on data and analytics, analytic users can swiftly move away from conventional IT-centric reporting to much more decentralized self-service tools that will aid in improving business outcomes and making informed decisions for future business opportunities.
In today’s AITechPark article, we will learn more about a few self-service data analytics software and tools that will aid in your daily business processes.
1. Alteryx Platform
The first self-service data analytics software on our list is Alteryx, which specializes in data preparation and blending. The tools allow analytics users to organize, clean, and analyze data in a repeatable workflow. At the same time, it connects and cleanses the data from data warehouses, cloud applications, spreadsheets, and other sources. However, the issue is that it can be utilized only to connect, research, organize, and model the given data, but not visualize it. To subscribe to this Alteryx Platform, users need to spend $4,950 per year.
2. Cognos Analytics
With the introduction of Cognos Analytics, IBM presents extensive BI and analytic abilities under two distinct product sequences. This analytical platform allows analytics users to access data and create dashboards and reports. As Cognos Analytics collaborates with IBM Watson Analytics, it enables ML-enabled UX that includes automated pattern detection and supports NLP queries and generation. IBM’s BI software can be deployed both on-premises or as a hosted resolution via the IBM Cloud.
3. Looker
Looker is a BI and data analytics platform that is built on LookML and that provides applications for web analytics filtering and drilling capabilities, enabling IT and BI professionals. The embedded analytics platform utilizes modern databases that are agile, with modeling layers allowing users to define data and control access. The only challenge that Looker has is that it is quite expensive and requires a team of specialists to operate properly. Without knowledge of this technology, users will not be able to set up a dashboard for their end users.
4. MicroStrategy
MicroStrategy is one of the best self-service BI and analytics platforms that aid in data preparation and visual data discovery. The tool gets out of the box and drives the connection between any resource, including databases, mobile device management (MDM) strategies, enterprise directories, cloud applications, and physical access control systems. It also has embedded analytics that allows MicroStrategy to be embedded in other website pages and applications.
5. Einstein Analytics Platform
The Einstein Analytics platform is a one-stop solution as it provides different features, such as automated data discovery abilities that enable users to respond to questions based on transparent and coherent AI models. IT and BI specialists can also tailor analytics according to their use cases to enhance their insights with precise recommendations and guidance. Furthermore, it allows users to create advanced experiences using customized templates and dashboards and personalize any third-party apps.
Conclusion
As we have stepped into the world of digitization, there is an increasing reliance on data and analytics. Therefore, with the above self-service analytics tools, users can easily empower their businesses and make better and faster decision-making without errors.
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