Lole Works

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Overview

$5,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

10 - 49

Employees

2025

Year Founded

ABOUT LOLE WORKS

Turning Data Into Decisions

Lole Works is a specialized data analytics firm focused on assisting finance departments, CFOs, and companies backed by private equity in transitioning from manual reporting to automated, actionable insights. We excel in creating modern data infrastructures that reduce spreadsheet confusion, speed up month-end closures, and provide executives with real-time insights into revenue, margins, cash flow, and operational performance. Our team comprises experienced BI engineers, finance analysts, and data architects who develop systems that are quick to implement, easy to manage, and customized to fit the unique operations of your business. Our Deliverables: The Value We Provide We go beyond just creating dashboards; we establish the foundation that ensures every metric is dependable, consistent, and readily available. Why Clients Choose Us Lole Works collaborates with fractional CFOs, finance teams, and private equity professionals seeking clarity, efficiency, and scalable reporting without the complexity or expense of conventional BI consulting. If you’re looking for self-sustaining reporting and insights that inform decision-making, we’re the team that supports successful teams.

Languages Spoken

English

HIGHLIGHTS

$5,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

10 - 49

Employees

2025

Year Founded

Services

Focus

Industries

Clients

Services Provided

55% BI & Big Data Consulting & SI

25% Cloud Consulting & SI

15% ERP Consulting and SI

5% Unified Communications Consulting & SI

About the Team

OUR STORY

Our Journey Lole Works was founded on a straightforward principle: finance teams should not be overwhelmed by reporting but should operate with clarity. We aim to integrate advanced data infrastructure with contemporary business intelligence, enabling companies to make quicker, more informed decisions. We prioritize transparency, accuracy, and genuine impact. Each dashboard, partnership, and workflow we create is designed to transform data into a competitive edge.

Portfolio

Retail: 40% Faster Due Diligence for $50M

Unknown

**The Challenge:** A rapidly growing clothing brand was preparing for a Private Equity exit. Although their revenue was noteworthy at $50 million, their backend data was disorganized. They used Shopify for direct-to-consumer sales, Amazon Seller Central for marketplace sales, and NetSuite for their ERP system. The CFO was dedicating over 15 hours each week to manually consolidate CSV exports to determine Contribution Margin for each SKU. With prospective buyers requiring detailed "Unit Economics" and "Cohort Retention" data from the past three years, this manual method posed a significant risk to the sale. A slow response to Due Diligence inquiries could indicate operational inefficiency to investors. **The Strategy:** We aimed to create a "Single Source of Truth" capable of automatic updates and robust enough to withstand audits from major accounting firms. Key Objectives included automating data integration from Shopify, Amazon, and NetSuite, modeling "True Profitability" by assigning advertising expenses (like Facebook and Google Ads) to specific SKUs, and developing an interactive "Data Room" dashboard for investors. **The Solution: Modern Data Stack:** We implemented a contemporary data stack designed for speed and auditability, comprising Fivetran for ELT ingestion, Snowflake for data warehousing, dbt for data transformation, and Power BI for reporting. We selected Power BI for its pivot-table functionality, which is favored by investors. This feature enabled PE analysts to explore the data independently, without needing to request new data cuts from the CFO. **The Impact:** There was a 40% reduction in the turnaround time for Due Diligence requests, 100% visibility into SKU-level profitability, and a tenfold increase in speed for Board reporting. "Lole Works didn't just create a dashboard; they helped us justify our valuation. Showing real-time retention cohorts gave investors the assurance they needed to finalize the deal at our desired price." — CFO, Apparel Brand.

Predicting & Preventing Churn for a PE-Backed SaaS

Unknown

**The Challenge** A B2B SaaS company in the logistics sector, generating $25M in annual recurring revenue (ARR), faced a logo churn rate of 15% annually, negatively affecting its valuation. The Customer Success Managers (CSMs) were reactive, only recognizing customer dissatisfaction upon receiving cancellation emails. Customer data was fragmented, with usage metrics stored in Mixpanel, support tickets in Zendesk, and billing information in Stripe, resulting in a lack of an integrated view of customer health. **The Strategy** We developed a "Health Score" system to identify at-risk accounts 60 days prior to their renewal. The Health Score Algorithm included the following components: - A decrease of over 10% in daily active users in the past 30 days? - Support Sentiment (30% weight): Analysis of Zendesk tickets using natural language processing to identify negative sentiment or unresolved critical issues. - Champion Movement (30% weight): Monitoring if the main account holder updated their LinkedIn profile to indicate a job change (manual input from CSMs tracked in Salesforce). **The Execution** We utilized Fivetran to consolidate data from Mixpanel, Zendesk, and Salesforce into a BigQuery data warehouse. A Python script, hosted on Google Cloud Functions, was scheduled to run nightly to compute the health score for each account. The results were then transferred back to Salesforce (Reverse ETL) to be displayed on the account page. Additionally, we created a PowerBI Executive Dashboard for the VP of Customer Success to monitor churn trends by cohort and region. **The Impact** - $200k in annual revenue saved in the first year - 30 days earlier warning signals for at-risk accounts - Achieved 110% net revenue retention (NRR)

Automated Financial Reporting for Manufacturing

Unknown

**The Challenge** A $120 million revenue manufacturer operating four plants in the Midwest struggled with profitability visibility. Although their ERP system (Microsoft Dynamics) managed costs, their sales information was stored in Salesforce. To determine the margin for a particular product line, their team of three analysts dedicated the first three days of each month to downloading data into Excel, matching SKUs with VLOOKUPs, and manually distributing labor costs. By the time the monthly report was finalized, it was already the 5th of the following month, making it too late to address any production problems. They required daily profitability insights. **The Solution** An automated data pipeline was developed using the Azure stack, aligning with their Microsoft systems. Azure Data Factory facilitated nightly data retrieval from Dynamics AX through an on-premise gateway and from Salesforce. We employed PowerBI Premium with "Incremental Refresh" to manage millions of transaction rows without impairing dashboard performance. Additionally, a SQL logic layer was created to automatically distribute overhead costs based on machine hours, providing a "True COGS" (Cost of Goods Sold) for each produced unit. **The Impact** Saved 60 analyst hours per month, shifted to daily reporting instead of monthly, and reduced the scrap rate by 15% due to enhanced visibility. "Within two days of launching the new dashboard, we identified a production line that was incurring excessive energy costs and addressed it immediately. The return on investment for this project was achieved in less than a month." — VP of Operations

1 more project

Projects & Clients

Project Size & Rate

Minimum Project Size

$5,000+

Average Hourly Rate

$50 - $99/hr

Pricing Snapshot

Min Project Size

$5,000+

Avg Hourly Rate

$50 - $99/hr

Cost Rating

N/A

What Clients Have Said

"Lole Works delivers quality projects within budget and timeline expectations based on verified client feedback."

Based on verified reviews and internal benchmark data

PROJECT BUDGETS

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Select a service

BI & Big Data Consulting & SI

Cloud Consulting & SI

ERP Consulting and SI

Unified Communications Consulting & SI

Locations

Headquarters

mun. Chişinău, sec. Botanica, str. Decebal bd., 6, ap.(of.) et.4

Chisinau, Chisinau, Moldova MD2001

+37369163838

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