Generative AI for the Automated Data & Analytics Interpretation
TRUST illumex builds trust and maximizes scale by creating a unified and accurate business-data literacy and culture, to unlock the full value of your data and analytics landscape.
SPEED Your organization gets its own cataloged encyclopedia of business terms and analytics within days to give any business question a reliable answer.
EFFICIENCY At times of economic turbulence, your data and analytics practice efficiency is critical. Get full transparency on the effort overlaps, data/analytics duplicates and waste.
Why Organizations Use illumex
Whether your strategic initiatives are focused on Digital Transformation, Data Fabric, Cloud Migration, or Governance and Compliance, illumex helps you to achieve your goals cheaper and faster, with full transparency and automated documentation.
We help you to break the existing status quo, derive value from the data and TRUST the results.
Slow & Expensive Analytics Lifecycle
Problem
Dashboards can take several months to create. 90% of the Analytics TCO is the labor cost.
The process of producing, iterating, and completing analysis takes too long. It wastes time, cripples decision-making, and is unsustainable.
Solution
Comprehensive, Fast and Cost-effective Analytics
illumex reduces the time it takes to find the data you need. We recommend how data should be used, enables live collaboration, and brings trust to every analytics effort.
Incongruent & Duplicate Data & Metrics
Problem
Multiple definitions of the same metric in different units of the company.
Complete misalignment and huge associated costs.
Data democratization was a massive step in business evolution. However, it also introduced a “wild west” of effort duplication and subjective calculations. Too many errors and a lack of centralization have damaged the reliability of analytics.
Solution
Full transparency on data and analytics utilization
Live alerting and recommendation system notifies you of any duplication of effort, conflict of logic, and data misuse. Illuemx tracks the breaking changes and shows you the business impact.
Tribal Knowledge
Problem
50% of the Data team’s time is spent answering questions about what data to use and how.
When they leave, the knowledge leaves with them.
Knowledge about an organization’s data and analytics is critical to its operations. Keeping that knowledge siloed in people’s minds poses a risk.
Solution
Correct, unified metrics and knowledge documentation
illumex is your organization’s automated ever-growing, centralized encyclopedia of analytics.
The platform ensures every analytics effort is documented, certified and trackable.
Turnkey Semantic Layer For The Most Complex Enterprises
Before introducing illumex, we used Confluence and Jira to manage our data and analytics documentation. Managing the process manually caused a multi-month lapse between the updates and their reflection in the documentation. Using competitive solutions in the past and after comparing the solutions on the market closely, I was surprised by the easy onboarding, short learning curve, platform capabilities and proactiveness of the illumex team. Lineage is especially useful for the collaboration between Data Engineers and Analysts and for understanding the dependencies.”
Michael Naumov
Head of Data & Analytics

illumex dramatically simplifies the challenge of finding the right data and analytics assets and tracking their dependencies in our highly dynamic setup. I do not see us being able to work without your solution soon.”
Yohai Vidergor
Senior Director Global Data

While running a POC, we found that the illumex technology has the potential to revolutionize the way we work since it takes queries and data objects and maps them automatically. It can reduce the need to maintain design documents. This Technology has the potential to support a digital transformation and eliminate manual work.
Other tools are siloed, they are disconnected from the production environment, and updated only manually on demand.”
Shirly Baruch
Director of Product Data Analytics
