Enterprise applications increasingly come with embedded analytics features such as data visualization tools that serve to differentiate products from each other while helping businesses hang on to customers while attracting new ones, according to a vendor study of the embedded analytics landscape.
The annual survey released this week by Logi Analytics found that embedded analytics—the integration of analytics capabilities within business applications—continues to make headway among application developers. The survey found that 85 percent of respondents said they have embedded analytics within their applications.
The Logi Analytics survey estimates that embedded analytics now accounts for more than half the value of business applications. “It’s increasingly difficult for applications to compete without offering analytics,” the company asserts.
As analytics are embedded within more applications, the survey found that developers are moving up the value chain to offer new features like data visualizations, interactive dashboard and predictive analytics.
“This trend shows no sign of slowing down,” the survey authors note. “We expect more innovative features will emerge and the gap will continue to widen between applications evolving their analytics and those sticking with the basics.”
Along with predictive analytics, survey respondents cited a range of future embedded analytics features. They included AI tools, the ability to “write back to the database,” natural language generation and the ability to launch new work flows. All are seen as ways of differentiating emerging applications from competitors.
Product differentiation, cited by 62 percent of respondents, was seen as a key attribute of embedded analytics. Seventy-one percent of those polled said the integration of analytics into software applications resulted in increased company revenues.
Embedded tools also are touted as promoting the steady shift toward self-service analytics that help users find their own new data sources, for example. That, in turn, frees developers to concentrate on core applications. While about half of survey respondents said the embrace of embedded analytics has reduced the number of “ad hoc requests” received by developers, 31 percent said they saw no change in the number of requests.
Previous Logi Analytics surveys have argued that embedded analytics is overtaking traditional business intelligence tools as analytics are folded into more applications and as users seek greater functionality.
Hence, the vendor argues that the standard developer approach of using open-source libraries to build custom applications only works until customers demand more sophisticated capabilities. Meanwhile, so-called “bolt-on” tools fall short in terms of functionality. “Homegrown solutions are failing to keep up with market innovation,” the vendor survey argued.
Customer demand for data visualizations ranked highest (77 percent) followed by interactive dashboards and reports (65 percent), then self-service analysis capabilities and data preparation (both 63 percent).
Logi Analytics, McLean, Va., said it surveyed more than 500 managers and developers during November and December 2017.
Recent items:
Top 5 Reasons to Embed Analytics in Your Enterprise Apps
May 10, 2024
May 9, 2024
- Lightning AI Launches Its Studio Platform in AWS Marketplace
- Precisely Continues to Expand Reach and Capabilities for Data Enrichment and Geo Addressing
- Databricks Enhances Enterprise AI with RAG Applications and Improved Model Serving
- StarTree Extends Real-Time Analytics Capabilities for Observability and Anomaly Detection Use Cases
- Snowflake Unveils the Future of AI and Data at 6th Annual Data Cloud Summit
May 8, 2024
- IBM and SAP Announce New Generative AI Capabilities to Transform Business Processes
- Alteryx: Businesses Embrace Generative AI, but General Public Remains Wary
- Atlan’s Control Plane to Power Data & AI Governance Attracts $105M
- Cisco Unlocks AI-Powered Intelligence for Self-Hosted Observability
- Boomi Accelerates Enterprise Data Connectivity with Advanced API Management Acquisitions
- Elastic Security Labs Releases Guidance to Avoid LLM Risks and Abuses
- Neo4j Empowers Syracuse University with $250K Grant to Tackle Misinformation in 2024 Elections
- Cloudera Unveils New Flow Management and Streaming Operators at Red Hat Summit
- DataForge Open-Sources First Functional Data Programming Framework
May 7, 2024
- Datadog Launches IT Event Management to Enhance AIOps Capabilities
- Panasas Rebrands as VDURA: A New Chapter in Software-Defined Storage for AI Applications
- Niobium Secures $5.5M in Venture Financing to Commercialize FHE Accelerator Chip
- Oracle Code Assist Can Help Developers Build Applications Faster with AI
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
-
Get your Data AI Ready – Celebrate One Year of Deep Dish Data Virtual Series!
-
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
-
AI & Big Data Expo North America 2024
June 5 - June 6Santa Clara CA United States -
CDAO Canada Public Sector 2024
June 18 - June 19 -
AI Hardware & Edge AI Summit Europe
June 18 - June 19London United Kingdom -
AI Hardware & Edge AI Summit 2024
September 10 - September 12San Jose CA United States -
CDAO Government 2024
September 18 - September 19Washington DC United States