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Top 10 Self-Service Analytics Tools

May 26, 2023 Leave a Comment

Here are 10 self-service analytics tools that empower users to explore and analyze data on their own:

  1. Tableau
  2. Power BI
  3. Logi Analytics
  4. Qlik Sense
  5. Looker
  6. Domo
  7. Sisense
  8. IBM Cognos Analytics
  9. MicroStrategy
  10. ThoughtSpot

1. Tableau

Tableau offers an expansive visual BI and analytics platform and is widely regarded as the major player in the marketplace. The company’s analytic software portfolio is available through three main channels: Tableau Desktop, Tableau Server, and Tableau Online. Tableau connects to hundreds of data sources and is available on-prem or in the cloud. The vendor also offers embedded analytics capabilities, and users can visualize and share data with Tableau Public.

2. Power BI

Description: Microsoft is a major player in enterprise BI and analytics. The company’s flagship platform, Power BI, is cloud-based and delivered on the Azure Cloud. On-prem capabilities also exist for individual users or when power users author complex data mashups using in-house data sources. Power BI is unique because it enables users to do data preparation, discovery, and dashboards with the same design tool. The platform integrates with Excel and Office 365 and has a very active user community that extends the tool’s capabilities.

3. Logi Analytics

Logi Info is a business analytics platform for rapidly creating analytic applications, deploying scalable dashboards and reports, delivering managed self-service analytics to business users, and embedding analytics into the applications workers use every day. Logi Info includes new interactive visualizations, self-service dashboard authoring, and real-time charts. Updates include faster application development, integration with GIT and TFS, and 2x – 10x faster performance. Logi Analytics is a leader in self-service analytics, and Logi provides self-service analytics tailored to the unique skills and needs of every individual.

4. Qlik Sense

Qlik offers a broad spectrum of BI and analytics tools, which is headlined by the company’s flagship offering, Qlik Sense. The solution enables organizations to combine all their data sources into a single view. The Qlik Analytics Platform allows users to develop, extend and embed visual analytics in existing applications and portals. Embedded functionality is done within a common governance and security framework. Users can build and embed Qlik as simple mashups or integrate within applications, information services, or IoT platforms.

5. Looker

Looker offers a BI and data analytics platform that is built on LookML, the company’s proprietary modeling language. The product’s application for web analytics touts filtering and drilling capabilities, enabling users to dig into row-level details at will. Embedded analytics in Powered by Looker utilizes modern databases and an agile modeling layer that allows users to define data and control access. Organizations can use Looker’s full RESTful API or the schedule feature to deliver reports by email or webhook.

6. Domo

Domo is a cloud-based, mobile-first BI platform that helps companies drive more value from their data by helping organizations better integrate, interpret and use data to drive timely decision-making and action across the business. The Domo platform enhances existing data warehouse and BI tools and allows users to build custom apps, automate data pipelines, and make data science accessible for anyone across the organization through automated insights that can be easily shared with internal or external stakeholders.

7. Sisense

Sisense simplifies business analytics for complex data. Powered by In-Chip and Single Stack technologies, Sisense delivers unmatched performance, agility, and value, eliminating much of the costly data preparation traditionally needed with business analytics tools and providing a complete tool to analyze and visualize large, disparate data sets without IT resources. Sisense’s expertise in complex data includes both large data sets and data derived from multiple, disparate sources. Sisense leverages In-Chip analytics to dramatically improve business users’ access to advanced analytics on low-cost, commodity machines without the need for special data warehouse tools or dedicated IT staff.

8. IBM Cognos Analytics

Cognos Analytics with Watson takes BI a step further with AI capabilities that not only bring an accurate, trusted, and complete picture of your business but forecast what’s coming in the future, predict outcomes, and explain why they may happen. Use built-in AI to accelerate and improve blending data or finding the optimal tables for your model. Uncover hidden trends and drivers with the help of AI so you can get the facts behind your data and deliver insights in real-time.

9. MicroStrategy

MicroStrategy merges self-service data preparation and visual data discovery in an enterprise BI and analytics platform. MicroStrategy provides out-of-the-box gateways and native drivers that connect to any enterprise resource, including databases, mobile device management (MDM) systems, enterprise directories, cloud applications, and physical access control systems. Its embedded analytics tool allows MicroStrategy to be embedded in other web pages and applications such as portals, CRM tools, chatbots, and even voice assistants like Alexa.

10. ThoughtSpot

ThoughtSpot is heavily influenced by artificial intelligence and automation. While it may seem complex, ease of use is a strength of the product. It features a full-stack architecture and intuitive insight generation capabilities via the in-memory calculation engine. A distributed cluster manager provides customizable scaling options, and support for existing ETL solutions ensures proper connectivity to desired data sources. ThoughtSpot Embrace allows you to run search and AI analytics directly in existing databases and supports Google Cloud Storage.

Rajesh Kumar
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