Datum Labs Data & Analytics Services

1. Introduction to Datumlabs For public distribution

2. Introduction Founded in 2018, Datum Labs is a leading data strategy consultancy helping businesses unlock the full potential of their data. ? Headquartered in the USA & Pakistan, we serve clients across the USA, UK, and EU? ? Collaborating with top cloud and analytics platforms to drive data excellence? ? A self-funded company, consistently profitable since inception? ? We empower high-growth, data-driven businesses to: ? Define a clear data strategy aligned with business goals? ? Modernize and optimize their data infrastructure? ? Centralize and streamline reporting for accurate insights? ? Scale data analytics for long-term success.

3. Working with brands like yours

4. MARKETING ANALYTICS SERVICES Marketing Performance Marketing Performance Monitor Key Metrics: Track website traffic, social media engagement, and content performance to refine marketing strategies. Optimize Lead Generation: Measure form fills, lead scoring, and qualification rates to improve conversion paths. Analyze Revenue Impact: Assess trial sign-ups, demo requests, and closed deals to gauge marketing effectiveness. Enhance SEO Performance: Integrate organic and paid search data with click and conversion insights to maximize reach and impact.

5. Customer Segmentation & Targeting Identify High-Value Prospects: Pinpoint potential customers most likely to convert and drive revenue. Data-Driven Segmentation: Use online and offline data from CRM, ERP, and eCommerce platforms to group customers effectively. Optimize Campaign Performance: Build and refine audience segments, then integrate them with marketing platforms for more precise targeting and increased ROI.

6. AI & ML-Powered Data Intelligence  Uncover Hidden Insights: Use AI to analyze data, spot trends, and drive smarter decisions. Predict Outcomes: Use machine learning to forecast customer behavior and market trends. Automate & Optimize: Streamline processes and improve efficiency with AI-driven automation. Enhance Personalization: Deliver customized customer experiences with data-driven recommendations. Detect Risks & Anomalies: Identify fraud, errors, and potential risks before they impact your business.

7. Single Customer View Track Every Interaction: Capture customer activity across websites, apps, CRM systems, and offline purchases. Unify Customer Data: Combine behavioral, transactional, and demographic data for a clear, consistent view. Connect Across Devices: Identify customers accurately, no matter how they interact with your brand. Predict Customer Behavior: Identity stitching Profiling Scoring & ML Audiences Use insights to understand preferences and reduce churn risk. Improve Marketing Impact: Implement data-driven strategies to personalize campaigns and boost engagement.

8. Full-Stack Digital Marketing Analytics Services ? Ad Spend Analytic? ? Customer Segmentatio? ? Customer Data Platform? ? Marketing Attributio? ? Customer Lifetime Valu? Awareness Consideration Conversion Engagement ? Single Customer Vie? ? Customer Journey Analysi? ? Personalizatio? Lead Generation Lead Nuture Sales Activation ? Conversion Rate Optimizatio? ? Predictive Analytics & A? ? Data Strateg? ? Marketing Data Centralizatio? ? Data Integratio? Marketing Performance Customer Segmentation AI & ML Powered Data Intelligence Data Marketing Mix Optimization Predictive Analytics & AI Visualization ? Data Visualization & Reportin? ? AI & ML Powered Data Intelligence

9. EXPERIENCE & CAPABILITIES Read more about our work

10. Visit Our Website www.datumlabs.io

11. Typical client engagement timeline 90-Days Scaling Data Implementation Timeline Fast Time-to-Value using agile method and modern analytics workflow MONTH #1 MONTH #2 MONTH #3 Iterate to deliver more Content Go/No Go Decision Core KPIs Validated Business sign off Sprint #0 Sprint #1 Sprint #2 Sprint #3 Sprint #4 Sprint #5 Sprint #6 Discovery & Planning, Data Stack Evaluations Data Model Design, Infrastructure Build Create data pipeline and land raw data Transformation and data integration Deploy Deploy BI tool and semantic layer Enable users and data team warehouse cubes & dimensions Reverse thinking: start with the problem to be solve Design Sprints Build Sprints Enablement Sprints Continuous delivery of business value over short cycles

12. Our Data Analytics Process: From Raw Data to Actionable Insights Understanding Business Needs Data Architecture & Integration Data Cleaning & Preparation Advanced-Data Transformation Interactive Analytics Dashboards AI-Powered Insights & Predictive Analytics Ongoing Monitoring & Optimization

13. The Team Brains behind the magic Faizan Khan Zain Ul Abidin Hadiqa Malik Ayesha Musharaf Director/CEO Director/CEO Data Analyst Human Resource Manager Nidal Cheema Haris Sohail Tahir Muneer Huzaifa Naeem Data Engineer Data Engineer UI/UX Designer Data Analytics Engineer Asma Shahid Vinod Kumar Saqib Ashraf Salma Shahzadi Software Engineer Business Developer Software Engineer Project Manager

14. The Team Brains behind the magic Umar Ashraf Ahmad Majeed M Hamza Usman Ahmed Business Developer Data Engineer Data Engineer Associate Data Engineer Moiz Sarwar Wardah Awais Hassan Ahmed Muhammad Furqan Associate Data Analyst Technical Content Writer AI/ML Intern AI/ML Intern Aasma Aas Awais Ahmad Talha Ilyas Data Engineer Data Engineer Intern Data Engineer

15. February 2025 Thankyou