Zdata Inc. Company Profile

Background

Overview

Zdata Inc. is a technology solutions company specializing in big data consulting and services. Founded in 2012, the company is headquartered in Purchase, New York, United States. In early 2017, Zdata was acquired by Atos SE, a global leader in digital transformation, to enhance its big data capabilities.

Mission and Vision

Zdata's mission is to enable organizations to perform complex analyses of vast data sets efficiently, thereby accelerating and improving business decision-making processes. The company envisions empowering enterprises to leverage big data technologies to drive innovation and maintain a competitive edge in their respective industries.

Primary Area of Focus

Zdata focuses on providing comprehensive big data solutions, including consulting, implementation, and management services. Their expertise encompasses data architecture, cloud-to-edge solutions, data analytics, and artificial intelligence (AI) integration.

Industry Significance

As a subsidiary of Atos, Zdata contributes significantly to the digital transformation initiatives of various enterprises, offering specialized big data services that are crucial for organizations aiming to harness the full potential of their data assets.

Key Strategic Focus

Core Objectives

Digital Transformation: Assist organizations in transitioning to data-driven operations by implementing advanced big data solutions.

Big Data Architecture: Design and deploy scalable and efficient data architectures tailored to client needs.

Cloud-to-Edge Solutions: Provide end-to-end solutions that integrate cloud computing with edge technologies to optimize data processing and storage.

Data Analytics and AI Integration: Enable businesses to derive actionable insights from data through advanced analytics and AI capabilities.

Specific Areas of Specialization

DataOps and MLOps: Implement practices that streamline data operations and machine learning workflows, ensuring agility and scalability.

Cloud Platforms: Utilize major cloud services such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure to deliver flexible and secure solutions.

Data Analytics and AI at the Edge: Deploy analytics and AI models closer to data sources to reduce latency and improve real-time decision-making.

Key Technologies Utilized

Big Data Frameworks: Apache Hadoop, Apache Spark, and Apache Solr for processing and analyzing large datasets.

Cloud Services: AWS, GCP, and Azure for scalable and reliable cloud infrastructure.

Data Analytics Tools: Integration of various analytics platforms to provide comprehensive insights.

AI and Machine Learning: Implementation of AI models and machine learning algorithms to extract value from data.

Primary Markets Targeted

Zdata primarily serves large enterprises across various industries, including finance, healthcare, manufacturing, and retail, assisting them in leveraging big data technologies to drive business growth and innovation.

Financials and Funding

Funding History

Zdata was acquired by Atos SE in early 2017, which provided the company with substantial resources to expand its big data capabilities. Prior to the acquisition, Zdata had secured initial funding to establish and grow its operations.

Total Funds Raised

Specific details regarding the total funds raised by Zdata before its acquisition are not publicly disclosed.

Notable Investors

As a privately held company, Zdata's investor information is limited. The acquisition by Atos SE in 2017 was a significant event, providing the company with enhanced financial backing and resources.

Utilization of Capital

Post-acquisition, the capital has been utilized to integrate Zdata's big data solutions with Atos's global digital transformation services, expand service offerings, and enhance technological capabilities to better serve enterprise clients.

Pipeline Development

Key Pipeline Candidates

Zdata's pipeline includes the development and deployment of advanced big data solutions, focusing on:

Data Architecture: Designing scalable and efficient data infrastructures tailored to client needs.

Cloud Integration: Implementing seamless integration of cloud services to enhance data accessibility and security.

AI and Machine Learning Models: Developing and deploying AI models to provide actionable insights from complex datasets.

Stages of Development

Zdata's solutions are typically in various stages, from conceptualization and design to implementation and optimization, depending on client requirements and project scope.

Target Conditions

The company's solutions are designed to address challenges such as data scalability, real-time analytics, and the integration of disparate data sources.

Anticipated Milestones

Key milestones include the successful deployment of integrated big data solutions, achievement of performance benchmarks, and the realization of client-specific business outcomes through data-driven strategies.

Technological Platform and Innovation

Proprietary Technologies

Zdata leverages proprietary technologies developed in collaboration with Atos, focusing on:

Big Data Processing: Utilizing advanced frameworks for efficient data processing and analysis.

Cloud Integration: Developing tools for seamless integration of cloud services to enhance data accessibility and security.

AI and Machine Learning: Implementing AI models and machine learning algorithms to extract value from data.

Significant Scientific Methods

DataOps and MLOps: Implementing practices that streamline data operations and machine learning workflows, ensuring agility and scalability.

Cloud-to-Edge Solutions: Providing end-to-end solutions that integrate cloud computing with edge technologies to optimize data processing and storage.

Leadership Team

Key Executives

Daniel Feldhusen: President & CEO of Zdata Inc., leading the company's strategic direction and operations.

Shawn Hall: Vice President of Machine Learning, DataOps, and Managed Services, overseeing the integration of AI and data operations.

Tony Wasson: Vice President of Human Resources and Recruiting, responsible for talent acquisition and organizational development.

Amy Schaecher: Vice President of Finance, managing financial operations and strategic financial planning.

Matt Neglay: Vice President of Engineering, leading the engineering team in developing and implementing technical solutions.

Christopher Toll: Senior Director of Sales and Delivery, overseeing sales strategies and client delivery.

Competitor Profile

Market Insights and Dynamics

The big data and analytics market is experiencing rapid growth, driven by the increasing need for organizations to leverage data for strategic decision-making. Enterprises are investing heavily in data infrastructure, analytics platforms, and AI technologies to gain competitive advantages.

Competitor Analysis

Zdata's primary competitors include:

Nvent: Specializes in data processing services and has a significant presence in the market.

SequenceIQ: Focuses on open-source big data solutions and has a growing client base.

Spry, Inc.: Provides technology hardware and data services, catering to various industries.

Strategic Collaborations and Partnerships

The acquisition by Atos SE has enabled Zdata to leverage Atos's global reach and resources, enhancing its ability to deliver comprehensive big data solutions to enterprise clients.

Operational Insights

Zdata differentiates itself through its specialized focus on big data consulting and services, offering tailored solutions that address specific client needs in data architecture, cloud integration, and AI implementation.

Strategic Opportunities and Future Directions

Zdata is well-positioned to expand its offerings in the growing big data market by leveraging Atos's global presence and resources. Future opportunities include enhancing AI capabilities, expanding cloud service integrations, and developing innovative data solutions to meet evolving client demands.