Valiotti Data

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Overview

$10,000+

Min Project Size

150+

Avg Hourly Rate

10 - 49

Employees

2019

Year Founded

ABOUT VALIOTTI DATA

Fractional Data Leadership, Post-Revenue Startups

Valiotti Data enhances the data capabilities of post-revenue companies. We act as a fractional data leadership team, collaborating with your business for 90 to 180 days to establish an effective modern data stack before transitioning ownership back to your team. **WHAT SETS US APART** Every project includes a documented success criterion and a plan for transitioning to your internal team. We will withdraw from consideration if it's not a suitable match. Our team works closely with the engineering teams we support, rather than alongside them. For instance, our fractional CDO at Sniffspot manages Jira tasks, coordinates Slack meetings, and approves revenue figures with the CEO, which is the standard we uphold. **WHO WE PARTNER WITH** We do not collaborate with pre-revenue startups, agencies that repurpose our work, or companies solely seeking personnel augmentation. **PROOF** Schedule a discovery call here: https://calendly.com/nick-valiotti/discovery-call-nick

Tech Stack

MongoDB

Languages Spoken

EnglishGreekTurkish

HIGHLIGHTS

$10,000+

Min Project Size

150+

Avg Hourly Rate

10 - 49

Employees

2019

Year Founded

Services

Focus

Industries

Clients

Services Provided

30% IT Staff Augmentation

70% BI & Big Data Consulting & SI

About the Team

OUR STORY

Valiotti Data, founded by Nick Valiotti, specializes in embedding senior data leaders into growing companies as integral team members. With over 17 years of expertise spanning data strategy, analytics engineering, and executive roles, Nick has built data functions for over 50 companies ranging from startups to enterprises across diverse sectors like SaaS, FinTech, and eCommerce. Holding a PhD in Computer Science and a Master's in Analytics, Nick transitioned from an in-house data leader to a Fractional Chief Data Officer, addressing the challenge of unreliable data in decision-making. The firm delivers personalized data leadership with a curated team of senior specialists, working closely within client environments to build trustworthy data infrastructure and ensure knowledge transfer. Serving over 50 engagements across eight

Portfolio

Guidance to Product Insights Monitoring

SkyCoach

**Objective**: SkyCoach aimed to enhance their services by developing Power BI reports to track metrics across different timeframes and games. With over 20 online games to manage and no dedicated in-house data analytics team, they sought a partner to establish the required analytical framework and provide post-project support. **Outcomes**: **Implementing Airbyte for Data Integration** The Valiotti team deployed Airbyte, a data integration tool, on a remote server to link two databases: - **Source**: The production database from which data is extracted. - **Destination**: The final database that houses tables for reporting. Our team analyzed the source database, chose relevant tables, crafted SQL queries, and scheduled updates based on SkyCoach's business requirements. **Creating Comprehensive Reports for Better Monitoring and Decision-Making** By assessing SkyCoach's needs, we outlined potential reports focusing on key data visualization types and analytical metrics. After refining these drafts, we produced Power BI reports for SkyCoach, which included: - **Active Pro Gamers**: A report detailing the number of active pro gamers over time and by game to gauge service demand. - **Pro-Player Selection Speed**: An analysis based on timespan and game to pinpoint and resolve issues. - **Ratings Overview**: A summary of ratings from managers, pro gamers, and users, including averages, to evaluate service quality by game. - **Auction Insights**: Information on the percentage of orders accepted on the first attempt, auction duration, and the number of orders in an auction setting. - **Dispute Analysis**: Percentages of disputes categorized by outcomes (lost, won, others), analyzed by game and timeframe to identify service bottlenecks. - **Refund Analysis**: The proportion of refunds by type (full and partial). Additionally, we supplied comprehensive documentation to empower SkyCoach’s team to handle analytical processes autonomously.

Improved Data Processing Time and Quality

betPawa

betPawa, a sports betting firm, was managing substantial OLTP data through a data warehouse (DWH) system that operated with continuous ETL processes. However, they encountered several problems, including slow support, absent OLTP data in their reports, and inflexibility regarding new business procedures. Sometimes, the ETL processes would run overnight but still produce untimely results, and reports were based on outdated DWH data, limiting thorough analysis. To tackle these issues, betPawa sought the expertise of Valiotti Analytics in business intelligence (BI) reporting, DWH, and ETL design. **Results: Flexible & Scalable DWH System** After evaluating betPawa's DWH system, data structure, and workflows, we revamped the setup to include: - **Extended DWH**: Added new fact tables for various data sources. - **Data Flow**: Transitioned to Kafka for real-time updates and utilized MaxWell’s Daemon for integrating MySQL. - **Data Quality**: Validated ETL records and monitored inconsistencies through ETL logs in Redash. **Data Transfer Methods** We assessed four methods for transferring OLTP data: 1. **Materialized MySQL**: Replicates MySQL tables into Clickhouse, but it's not compatible with the Percona Update tool. 2. **Full and Incremental Load**: Accesses MySQL data directly via Clickhouse SQL, suitable for small tables or indexed incremental loads. 3. **Kafka Topics**: Transfers corporate data to Kafka in Google’s Protocol Buffers format for Clickhouse’s Kafka Engine to extract. 4. **MySQL Transactions to Kafka Events**: Captures data from MySQL transaction logs (binlog), sending events to Kafka. **Improved Data Accuracy and Real-Time Insights** By employing Kafka and MaxWell’s Daemon tool, we established standardized processing and real-time updates. This improvement in managing fact and dimensional tables helped eliminate data duplication and enhance accuracy. **A New BI Tool – Redash** We evaluated, trained, and implemented Redash into production. Reports that were originally created in Tableau were successfully replicated in Redash. After thorough testing and debugging, the client was able to access enhanced data visualization and reporting features.

Data Visualization to Boost Conversions in EdTech

Refocus

**Objective:** The Client aimed to implement data-driven decision-making to improve their sales and product development but lacked the internal resources to establish a data analytics infrastructure, choose the appropriate tools, and set up necessary processes. Refocus sought a dependable partner with significant expertise and a focus on business objectives. Valiotti fulfilled these criteria and was engaged for the project. During the course of the project, we encountered a challenge when the Refocus team altered data sources without informing us, which created problems for our data analysts. We addressed this by asking Refocus to refrain from changing any data that might flow into the data pipeline. **Outcomes:** **Scalable Data Analytics Infrastructure** After assessing the Client's business objectives and data collection needs, we constructed a tech stack that comprised: - Python scripts - Hetzner server for data collection script storage - Airflow for managing workflows - Google BigQuery as the data warehouse - Tableau for data visualization Using Airflow and Python scripts, data is exported, processed, and stored in Google BigQuery through API integration. Airflow, running on a virtual machine, oversees workflow management, and all data is presented in Tableau reports. **Numerous Regularly Updated Dashboards for Actionable Insights** The Client can create both generic and specialized reports to facilitate data-driven decision-making. Key dashboards include: - **Overview Student Dashboard:** Displays student enrollment trends and other important metrics. - **Optimized Lead Allocation:** Analyzes lead funnels and reallocates resources to boost conversion rates, accelerating the transition from new deals to sales. - **Refund Analysis:** Identifies the primary reasons for refunds, enabling the Client to tackle issues and reduce refund requests. - **Performance Monitoring:** Dashboards that showcase student performance aid in tracking progress and pinpointing challenging tasks and lessons, offering insights for data-driven product development aimed at increasing course completion rates.

7 more projects

Projects & Clients

Project Size & Rate

Minimum Project Size

$10,000+

Average Hourly Rate

150+

Pricing Snapshot

Min Project Size

$10,000+

Avg Hourly Rate

150+

Cost Rating

N/A

What Clients Have Said

"Valiotti Data 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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IT Staff Augmentation

BI & Big Data Consulting & SI

Locations

Headquarters

Christou Samara, 14, 7

Paphos, Cyprus 8021

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