Use Case

Increase Data Accessibility

All organizations, especially those with a complex data stack, deal with silos at some level of departmental data and analytics. An end-to-end analytics platform can connect disparate data sources and provide analytics access to users across the organization, resulting in improved data consistency and a shorter path to insights.

Customer Experience

Maximize understanding of customer experience, journey, and needs through blending multiple sources of customer data

Bottom-Line Returns

Connect existing systems and easily connect new systems without data infrastructure overhaul

Efficiency Gains

Spend less time connecting to data sources and more time expanding analytics access to end users

Risk Reduction

Visibility into entire data lineage provides ability to enforce best practices into entire data infrastructure

Upskill Workers

Connection to more data sources gives knowledge workers sufficient data to power advanced analytics

Business Problem

A data silo is a collection of data held by one group that isn’t easily or fully accessible by other groups in the same organization. Departments manage their own data in their own silos, and even when they share their data, they deliver it in a format that isn’t consistent across departments. Data silos create problems when information is shared because the data must first be reformatted before it can be used. Data silos get in the way of cross-departmental collaboration because of the time it takes to determine who holds the data and the effort it takes to manually alter the data for cross-departmental questions. These silos prevent leadership from having a holistic view of their business as importing data from multiple departments is a time- and resource-intensive undertaking. Worst of all, it’s hard to trust the data that’s finally found and aggregated because differences in methodology, quality, and metadata keep the data from aligning well across silos.

Analytics Solution

With an end-to-end analytics platform, an organization can connect and standardize disparate data sources. The platform automates the connection to data sources, applies formatting automatically, and moves data from silos into a shared repository that all departments can access. It makes data visible and accessible across the organization, with defined metadata that simplifies use. The platform gives business users access to self-service analytics so users can work with trusted data that has an established data lineage.

When users know the process and trust the data, they can use the end-to-end platform to arrive at their own insights. The previously arduous task of trying to analyze data across silos becomes far more efficient.

 

Additional Resources

 
 
Starter Kit for Analytic Apps
Learn More
 
 
Starter Kit for Tableau
Learn More
 
 
Starter Kit for Marketing Analytics for Adobe
Learn More
 
 
Starter Kit for Salesforce

Learn More
 
 
Starter Kit for Qlik

Learn More
 
 
Starter Kit for Microsoft

Learn More
 

Recommended Resources

 
Webinar
From Hype to Value: How GenAI is Transforming Data Analytics
Want to revolutionize your data analytics with GenAI? Move from hype to value with these use cases from Spanish companies that are already leveraging AI to automate processes and generate value. Don’t miss this workshop!
  • Generative AI
  • BI/Analytics/Data Science
  • EMEA
Watch Now
 
Webinar
Democratizing Analytics at Scale
How Data Storytelling and AI-Infused Insights Can Increase Data Literacy Across the Organization
  • Live Webinar
  • Analytics Leader
  • BI/Analytics/Data Science
Watch Now
 
Analyst Report
2024 Self-Service BI Market Study from Dresner Advisory Services
The 2024 Self-Service Business Intelligence Market Study, published by Dresner Advisory Services, reviews self-service BI trends and provides insight into industry adoption, user requirements, and vendor capabilities.
  • Data Science and Machine Learning
  • Generative AI
  • Analytics Leader
Read Now