Datum Labs LLC

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Overview

$5,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

10 - 49

Employees

2022

Year Founded

ABOUT DATUM LABS LLC

Full Stack Data Consultancy

At Datum Labs, we focus on providing innovative data solutions that help businesses gain actionable insights and accelerate growth. Our skilled team merges extensive expertise in data strategy, infrastructure, and advanced analytics to assist organizations in optimizing their data for a competitive advantage. **Our Key Offerings** We provide a wide range of data-centric services: - **Data Strategy:** Tailored strategies that align with your business goals to maximize data utility and ensure lasting success. - **Insightful Data Analysis:** We excel at converting complex datasets into straightforward, actionable insights. - **Data Infrastructure:** We create scalable, secure data architectures that enhance operations and improve data access. - **Analytics & AI:** Utilizing machine learning, AI, and predictive analytics to reveal hidden patterns and anticipate future trends. - **Data Visualization:** We design intuitive dashboards and reports that turn complex data into actionable insights. **What Makes Us Unique?** Datum Labs prioritizes a client-centered approach, working closely with your team to provide tailored, high-impact solutions. Our proficiency covers data engineering, advanced analytics, and AI integration, ensuring you maximize your data's potential. We implement the latest technologies to create secure, scalable systems that are ready for the future. Our adaptable engagement models, which include team augmentation and comprehensive solutions, enable us to seamlessly fit into your existing processes, guaranteeing project success. From strategy development to execution, we support you at every stage of your data journey. **Why Work with Us?** - **Expertise:** Our team consists of highly skilled professionals in data engineering, analytics, and AI. - **Customization:** Solutions specifically designed to cater to your individual business requirements. - **Innovation:** We harness current trends and technologies to foster business growth. Get in touch with us today to turn your data into a vital asset for achieving business success!

Tech Stack

AzureAWSMongoDBOraclePower BITerradataMicrosoftTIBCOAI

Languages Spoken

English

HIGHLIGHTS

$5,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

10 - 49

Employees

2022

Year Founded

Services

Focus

Industries

Clients

Services Provided

3% Other IT Consulting and SI

4% Cloud Consulting & SI

6% Generative AI

7% AI Strategy & Roadmap Consulting

5% BI & Big Data Consulting & SI

25% IT Compliance & Governance

25% Operational Process Consulting

25% Digital Strategy

About the Team

OUR STORY

Our Narrative At Datum Labs, we believe that data engineering and analytics are interconnected. We create contemporary, scalable data infrastructures and enhance them with practical analytics that facilitate informed decision-making. With over 150 projects completed for both startups and large enterprises, we emphasize reliability, performance, and tangible outcomes. We collaborate closely with teams to establish secure data pipelines, dependable metrics, and insights that foster growth, efficiency, and lasting impact. Our solutions are designed for scalability, governance, and transparency throughout every phase.

TEAM PHOTOS

Portfolio

Chesapeake Fine Food Group’s Data Transformation

CFFG-Chesapeake Fine Food Group

Chesapeake Fine Food Group (CFFG) is a high-end gourmet brand comprising three main divisions—Mackenzie Limited, Chesapeake Bay Crab Cakes & More, and Impromptu Gourmet—serving clients through online channels and direct sales. As CFFG grew, the presence of fragmented data and manual reporting hampered operations, which negatively impacted sales performance and customer service efficiency. The obstacles CFFG faced included: - Dispersed Sales Insights: Revenue data was located across various platforms. - Ineffective Agent Oversight: The lack of tracking hindered customer service. - Limited Trend Awareness: Staffing shortages and repeated customer interactions were challenging to analyze. - Delayed Reporting: Outdated methods slowed down the decision-making process. The solutions we provided were: ✅ Centralized Data Warehouse (PostgreSQL): Consolidated sales, customer service, and operational data. ✅ Automated Pipelines (Airflow): Integrated real-time data from Netsuite, Five9, and Iadvize for better accuracy. ✅ Advanced Power BI Dashboards: Provided interactive reports on sales trends and customer service performance. ✅ Optimized Agent Monitoring: Assessed calls per hour, agent sales, and error rates to enhance productivity. ✅ Predictive Trend Analysis: Detected call patterns, staffing inefficiencies, and marketing effectiveness. Key Performance Indicators Achieved: - Improved Sales Performance: Daily monitoring across brands and channels. - Enhanced Customer Service: Boosted agent efficiency with real-time tracking. - Quicker Decision-Making: Automated reporting removed delays. - Targeted Marketing & Sales: Insights facilitated focused campaigns. - Operational Excellence: Predictive analytics improved staffing and workload management. From Complexity to Growth: CFFG's transformation highlights the effectiveness of a strategic data approach. By incorporating real-time analytics, automation, and predictive insights, Datum Labs helped CFFG optimize operations, increase sales, and enhance customer service.

Unifying Global Analytics for CGIAR

CGIAR

CGIAR, a worldwide research organization dedicated to agriculture, sustainability, and food systems, aimed to enhance the accessibility and reporting of performance data throughout its global network. Insights were spread across various platforms, including Google Analytics 4, Google Search Console, Sprout Social, SplashThat, Meltwater, and Campaign Studio, leading to fragmented and labor-intensive reporting processes. The challenges CGIAR encountered included: - Disparate Data Sources: Performance metrics were scattered across six different platforms. - Lack of Unified Performance View: Comparing data across platforms was inconsistent and time-consuming. - Manual Reporting Processes: Obtaining executive insights required collaboration among multiple teams. - Variability in KPI Definitions: The absence of standardization hindered reporting clarity and trust. Our Solution for Centralized Enterprise Analytics Datum Labs designed and implemented a centralized analytics platform utilizing Microsoft Fabric and Power BI to establish a structured, scalable foundation for reporting. We provided: - Automated API integrations for all core platforms - A centralized, standardized data model for consistent KPIs - A managed semantic layer for reusable reporting logic - Executive and operational dashboards in Power BI - A scalable architecture for future growth Results Achieved: - Centralized Reporting Environment - Accelerated Reporting Cycles - Enhanced Executive Visibility - Stronger Collaboration Across Centers - Future-Ready Infrastructure As a result, CGIAR now benefits from a structured and automated enterprise analytics system that fosters confident, data-informed decision-making across its global organization.

Transformed AML Foods with Scalable Data Warehouse

AML Foods

AML Foods, a prominent retail and food services provider in the Bahamas, aimed to upgrade to a modern, high-performance data warehouse to improve its analytics and business intelligence capabilities. Previously reliant on a highly normalized Sybase database, the company sought to move past its ZAP BI platform to access advanced analytics such as RFM analysis, market basket insights, and tracking customer behavior. The challenges they faced included limited scalability with Sybase for large data volumes, a lack of support for advanced analytics, and inefficient manual data synchronization processes. To address these issues, Datum Labs developed a robust PostgreSQL-based data warehouse, allowing AML Foods to enhance its analytics capabilities with real-time data access. Key improvements included: - Migrating to PostgreSQL for a scalable and efficient data infrastructure. - Implementing automated pipelines with Airflow for real-time data synchronization, eliminating manual delays. - Developing advanced analytics models using dbt for RFM analysis and market insights. - Creating interactive Power BI dashboards for real-time reporting across teams. - Setting up automated monitoring to maintain data integrity with minimal oversight. As a result of Datum Labs' support, AML Foods successfully transitioned to an automated, scalable data warehouse that facilitated data-driven decision-making, improved operational efficiency, and spurred business growth.

2 more projects

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

"Datum Labs LLC 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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Other IT Consulting and SI

Cloud Consulting & SI

Generative AI

AI Strategy & Roadmap Consulting

BI & Big Data Consulting & SI

IT Compliance & Governance

Operational Process Consulting

Digital Strategy

Industry Recognitions

Clutch Awards

View source

Recognition 2

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Recognition 3

View source

Locations

Headquarters

52-F Johar Town

Lahore, Punjab, Pakistan 54000

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