
Structure All Your Data in One Place

Automate Manual and Repetitive Tasks

Prep Analytics-Ready Datasets

What is data integration?
Data integration combines information from multiple sources, such as your accounting and CRM software, into a centralized location to provide a comprehensive view of your business data.
What is data quality?
Data cleaning corrects technical issues, such as converting numerical dates into true date formats, and identifies gaps and outliers that require intervention before analysis can proceed.
What is data storage?
A cloud-based warehouse structures and stores your business data, allowing you to perform analysis, such as creating datasets and managing permissions and security.
Data preparation enables…
And more.
When your business data is properly prepared, it’s easier to analyze and interpret for improved decision-making. Answer specific business questions about cost savings, profitability, revenue growth, sales enablement – the possibilities and their opportunities are endless.
infoFluency offers done-for-you data prep

We speak your language.
infoFluency translates complex analysis and technical jargon into business terms and actionable insights.

We work with your software.
We are software agnostic. No matter what applications or platforms you use to manage your data we’ll connect the dots.

We automate data tasks.
infoFluency focuses on automating data quality checks and notifications to help you maintain accurate and complete data sets.

Automating Complex Calculations
infoFluency developed rules-based logic statements and automated calculations to save Fusion Growth Partners’ Chief Financial Officer hours of manual reporting for the company’s commission pay structure. Not only did they regain valuable time, but they were also able to simplify their commission pay structure, enabling growth.
Ready to activate your insights?
Transforming your data from overwhelming and out-of-date to actionable and insightful is our specialty.

Assess
Analyzing your current data systems.

Integrate
Collecting and matching data from disparate sources.

Clean
Detecting and resolving errors or inconsistencies.

Organize
Organize and structure your data in the cloud.

Transform
Prepare data to answer your critical business questions.