Data Analytics

A data analytics solution for data and BI teams who don’t have time to waste. Move from the mundane to the meaningful.

Integrations Include:

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Be the data (and company) hero with a platform that delivers major value and insights with far less effort

Fortune 50 Tools

Simplified Systems

Custom Definitions and Dates

World-class tech at your fingertips

Data teams at Fortune 50 companies around the world use the same technology that we do: Databricks. Now your data team too can leverage the power of Databricks, which excels in machine learning, collaboration, and business analytics.

Streamline your data systems from A to Z

By creating an environment where all Gemineye Data Lakehouse systems run through Databricks, we just have one gear in motion. In your standard data analytics program, multiple gears (various services, separation of database, compute, storage, and ingestion) are in motion, creating exponential inefficiencies in time, labor, and cost.

Retain your data structure and history

Our unique structure allows you to retain control of your data (like member definitions), rather than you having to conform to your vendor’s requirements. What’s more, The Gemineye Data Lakehouse brings in all data with an “as of” process date – meaning you can query exactly what the data looked like as of a given past date.

Transparent Data Dictionary

Definition Customization
Advanced Lakehouse Monitoring

Profitability at the most granular level

Don’t assume profitability based on “averages of averages”. Connect to your data at the most granular level including interchange on transactions and interest spreads on individual products.

Powerful ML/AI-driven engagement,

segmentation, and predictive actions

Definition Customization

Definition Customization documents fully integrated into the solution and designed to ensure your team knows exactly how all fields move from source to the data warehouse to the dashboards and reports.

Advanced Lakehouse Monitoring

Advanced Lakehouse Monitoring documents fully integrated into the solution and designed to ensure your team knows exactly how all fields move from source to the data warehouse to the dashboards and reports.

75 integrations and counting

We currently support over 75 integrations – even the ones that other data analytics providers won’t touch. Our integrations incorporate leading credit union and bank solutions, like consumer loan and mortgage originations, digital banking, CRM / MRM, third-party data vendors, and more.

Hear from Our Clients

Selecting Gemineye as our analytics partner was pivotal for us to establish a robust data warehouse right from the outset. Their proficiency in leveraging Azure and Databricks technology is unparalleled. Gemineye not only possesses exceptional expertise but also proves to be an invaluable partner, wholeheartedly dedicated to aiding us in realizing our data analytics objectives.

Clint Johnson - Data Analytics

VP of Data & Analytics
P1FCU

Data Analytics FAQs

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What a Data Lakehouse Actually Is

A data warehouse is a structured, modeled system designed specifically for analytics and reporting. It provides:

Governed, consistent metrics
Standardized business definitions
Historical tracking and transformations