Seeking to break down barriers to bypassing the IT department to deliver “self-service” analytics, embedded analytics specialist Logi Analytics has rolled out an upgraded platform that can be customized for individual enterprise users.
Logi Analytics, McLean, Va., said this week its Logi 12 platform attempts to address the growing need to get around the one-size-fits-all approach to business intelligence and enterprise analytics. It cited a recent study that found fully 93 percent of enterprises want to deliver access to business data without the help of IT administrators. Still, only 22 percent of study respondents reported they have access to or can use self-service business intelligence tools.
The company said it wants to address the troubling industry trend in which business intelligence vendors tend to focus on one type of user at the expense of others.
As part of its self-service analytics push, Logi said it has added a “discovery module” along with a data hub to its analytics platform. The module uses visualizations provided “within the context of the applications that workers, clients, and vendors use every day, rather than solely in standalone discovery tools,” the company said. The user interface also can be customized by IT prior to being embedded into existing applications.
The module comes as an add-on to Logi Info, the company’s analytics platform for business users.
The new data hub is designed to speed data connection, preparation and performance for self-service analytics on data derived from multiple cloud applications, databases or spreadsheets.
Meanwhile, the company’s self-service analytics application, Logi Vision, now incorporates an upgraded data visualization recommendation engine that learns from user activities. New project templates are designed to speed data discovery with pre-populated data connections, visualizations and dashboards that only require users to only plug in their data to begin analyses.
Self-service capabilities have also been expanded in Logi Info via an upgraded “self-service reporting module.” An updated user interface, faster creation of data visualizations, more granular control for analytical actions and additional data visualizations is designed to allow users to build customized reports and dashboards.
Logi Analytics business strategy rests on the premise that embedded analytics, the integration of analytic capabilities within business applications, are becoming more pervasive as software vendors and software-as-a-service providers embrace the approach.
In its annual survey of the embedded analytics market released in March, Logi Analytics found that 65 percent of application providers it contacted embed business intelligence and analytics into their products and services. What’s more, the rate at which embedded analytics is being adopted has grown to 40 percent of respondents’ total base of business analytics users.
The company claimed that total is 10 percent higher than adoption of traditional business intelligence tools.
Recent items:
Embedded Analytics Goes Mainstream
Rating the Advanced Analytics Vendors
March 28, 2024
- Elastic Announces 2023 Elastic Excellence Awards Winners
- Woolpert Acquires Ireland-Based Murphy Geospatial, a Leading European Geospatial Solutions Firm
- WiDS Livermore Conference Attendees Network, Share Research and Absorb Wisdom
- Observe Announces $115M In Series B Financing
- Lightning AI’s New Thunder Compiler Boosts AI Development Efficiency by 40%
- Intel Gaudi 2 Remains Only Benchmarked Alternative to NV H100 for GenAI Performance
- Appen Launches Solution for Enterprises to Customize LLMs
- MineOS Unveils AI Asset Discovery
- Cloudera Survey Reveals 90% of IT Leaders Believe that Unifying the Data Lifecycle on a Single Platform is Critical for Analytics and AI
- Snowflake Enhances Secure, Cross-Cloud Collaboration for High Value Business Outcomes with Snowflake Data Clean Rooms
- Domo Announces Winners of the 2024 Community Ovation Awards
March 27, 2024
- New MLPerf Inference Benchmark Results Highlight the Rapid Growth of Generative AI Models
- Qlik Advances Real-time Data Analytics with Solace PubSub+ Platform Integration
- Samsung Unveils Expanded CXL Memory Module Portfolio at Memcon 2024, Enhancing AI and HPC
- Celestial AI Closes $175M Series C Funding Round Led by US Innovative Technology Fund
- Databricks Launches DBRX: A New Standard for Efficient Open Source Models
- Astronomer Unveils New Capabilities in Astro to Streamline Enterprise Data Orchestration
- DataVisor Introduces Enhanced Anti-Money Laundering Solution to Support Financial Institutions
March 26, 2024
Most Read Features
Sorry. No data so far.
Most Read News In Brief
Sorry. No data so far.
Most Read This Just In
Sorry. No data so far.
Sponsored Partner Content
-
Supercharge Your Data Lake with Spark 3.3
-
Learn How to Build a Custom Chatbot Using a RAG Workflow in Minutes [Hands-on Demo]
-
Overcome ETL Bottlenecks with Metadata-driven Integration for the AI Era [Free Guide]
-
Gartner® Hype Cycle™ for Analytics and Business Intelligence 2023
-
The Art of Mastering Data Quality for AI and Analytics
Sponsored Whitepapers
Contributors
Featured Events
-
Data Universe
April 10 - April 11New York United States -
Call & Contact Center Expo
April 24 - April 25Las Vegas NV United States -
AI & Big Data Expo North America 2024
June 5 - June 6Santa Clara CA United States -
AI Hardware & Edge AI Summit 2024
September 10 - September 12San Jose CA United States