Embedded Analytics
Fostering a Data Culture
Using data and intelligence are keys to running a digital business.
- Todays’ volatile environment demands greater focus on rapid, data-driven decisions by everyone in an organization.
- To that end, executives have become more involved in fostering a data culture and investing in initiatives to raise employees’ data literacy.
- 87 percent of executives have explicitly articulated the need to be more data driven.
Use of data and intelligence is the number 1 cited lever to running a digital business over the next 12 months. Yet, many technology and business roadblocks to pervasive analytics and data-driven decision making remain including:
One of the key methods for removing these roadblocks and turning negative impacts to positive outcomes is to invest in embedded analytics.
Sources: Data Culture Survey, IDC 2021 and IDC’s Future Enterprise Resiliency and Spending Survey – Wave 7, 2022
Embedded Analytics
Analytics integrated into operational processes deliver insights and recommendations in the flow of work.
Common Embedded Use Cases
Benefits of Embedded Analytics
Increase decision velocity, leading to faster, in-the-moment data-driven decision and actions.
Increase operational efficiency by providing users with real-time, contextual analytics by reducing the need to switch between operational and analytic applications.
Provide easier access to information promoting speed to insight by minimizing or eliminating the need to move data.
60%
of organizations who said that time to insights improved significantly over the past 12 months have already embedded analytics into most of their enterprise applications.
Reduce the need for developers to build their own analytic engines or databases, thus improving speed of product development and new feature introduction.
Eliminate the need for multiple security schemes as embedded analytics map to the enterprise security and data access schemes, minimizing the risk of data privacy and security issues.
Source: IDC Business Analytics Survey, 2022
Challenges of Embedding Analytics
While one third of organizations have already embedded analytics into most of their applications,
the rest (2/3) have not done so or have only embedded analytics into a few applications.
Among the barriers:
Technical integration with operational applications and selecting the right analytics technology partner
Disconnect or lack of collaboration between application development and analytics teams
Q. What challenges has your organization faced when implementing embedded analytics?
(% of respondents)
Choosing between different embeddable analytics software
Technical integration/development challenges
Determining the organization’s business requirements
Deciding whether to build vs. buy
Organization doesn’t see value in embedding analytics
Not having enough appropriate developer resources or skills
Source: IDC Business Analytics Survey, 2022
Critical Success Factors for Scalable, Extensible, Enterprise-Grade Analytics
Minimize data movement between operational and analytic databases across deployment locations.
Make available a range of analytic engines to address descriptive, predictive, and AI/ML workloads.
Provide support for integration between a data warehouse and a data lake, standard development languages (e.g., SQL, Java, C++, Python, R), cloud storage APIs, service level agreements (SLAs) consistent with operational requirements.
Ensure scalability and performance, including terabytes per second ingest/egest rate, and exabyte storage capacity.
Source: IDC, 2023
Embedded Analytics at Scale
Recommendations for success with embedded analytics
View PDF of infographic created by IDC Insights
How can embedded analytics help you stop moving data from ops to analysis?
The key to data-driven decision making is fast analysis, so decisions can be made right in the flow of work. Learn how embedded analytics removes roadblocks on the path to pervasive analytics.
Vertica is the analytical database with the best value for the highest performance on any data analytics, at any scale, anywhere.
Learn more about using Vertica as part of a modern, scalable, data analytics platform for embedded analytics.