Datafiniti Company Profile

Background

Overview

Datafiniti is a data company that provides businesses with a wide variety of information on retail products, properties, and companies. Founded in 2011 and headquartered in Austin, Texas, Datafiniti specializes in transforming vast amounts of web data into structured, accessible formats for business applications.

Mission and Vision

Datafiniti's mission is to simplify the process of accessing and utilizing web data, enabling businesses to leverage this information for various applications such as lead generation, pricing intelligence, and competitive analysis. Their vision is to provide instant access to comprehensive web data, empowering businesses to make informed decisions and gain a competitive edge.

Primary Area of Focus

The company focuses on aggregating and structuring web data across multiple sectors, including retail products, real estate, and business information, to support data-driven decision-making processes.

Industry Significance

In an era where data-driven insights are crucial, Datafiniti plays a significant role by providing businesses with the tools and data necessary to harness the full potential of web information, thereby enhancing operational efficiency and strategic planning.

Key Strategic Focus

Core Objectives

Data Aggregation and Structuring: Collecting vast amounts of web data and organizing it into structured formats for easy access and analysis.

Data Accessibility: Providing businesses with seamless access to comprehensive datasets through user-friendly interfaces and APIs.

Support for Data-Driven Decisions: Enabling businesses to utilize data for applications such as lead generation, pricing intelligence, and competitive analysis.

Specific Areas of Specialization

Product Data: Offering extensive datasets on retail products, including detailed specifications and pricing information.

Property Data: Providing comprehensive real estate listings and property details.

Business Data: Supplying information on companies, including contact details and operational insights.

Key Technologies Utilized

Web Scraping and Data Extraction: Employing advanced web scraping techniques to collect data from various online sources.

Data Structuring and Normalization: Utilizing algorithms to clean, structure, and normalize raw web data into usable formats.

API Development: Developing robust APIs to facilitate seamless data access for clients.

Primary Markets or Conditions Targeted

E-commerce: Providing product data to enhance online retail platforms.

Real Estate: Supplying property data for real estate platforms and agencies.

Market Research: Offering business data to support competitive analysis and market research initiatives.

Financials and Funding

Funding History

As of the latest available information, Datafiniti has not publicly disclosed specific details regarding its funding history, total funds raised, or notable investors.

Intended Utilization of Capital

While specific details are not publicly disclosed, it is common for companies in this sector to utilize capital for:

Technology Development: Enhancing data collection, processing, and delivery technologies.

Market Expansion: Entering new markets and expanding the customer base.

Operational Scaling: Increasing operational capacity to handle larger datasets and more clients.

Pipeline Development

Key Pipeline Candidates

Datafiniti offers several datasets accessible through their web portal or API, including:

Product Data: Comprehensive information on retail products across various categories.

People Data: Contact records, primarily for new homeowners and real estate agents.

Business Data: Information on companies, including contact details and operational insights.

Stages of Development

These datasets are continually updated and refined to ensure accuracy and relevance, with ongoing development to expand coverage and improve data quality.

Target Conditions

The datasets are designed to support various business applications, including lead generation, pricing intelligence, competitive analysis, and market research.

Relevant Timelines for Anticipated Milestones

Specific timelines for updates and new dataset releases are not publicly disclosed.

Technological Platform and Innovation

Proprietary Technologies

Data Collection Algorithms: Custom algorithms designed to efficiently scrape and collect data from a wide range of web sources.

Data Normalization Processes: Techniques to clean and standardize data, ensuring consistency and usability.

Significant Scientific Methods

Data Matching and Deduplication: Employing advanced data matching techniques to identify and eliminate duplicate records, enhancing data quality.

API Integration: Developing APIs that allow clients to integrate Datafiniti's datasets into their systems seamlessly.

Leadership Team

Key Executives

Shion Deysarkar: CEO & Founder. Shion has a background in technology and entrepreneurship, having previously served as CEO of 80legs, a web crawling company.

Key Contributions

Shion Deysarkar: As CEO, Shion has been instrumental in establishing Datafiniti's vision and strategic direction, leveraging his experience in web data and technology to build a platform that simplifies data access for businesses.

Competitor Profile

Market Insights and Dynamics

The market for web data aggregation and structuring is highly competitive, with numerous companies offering similar services. Key competitors include:

ATTOM: Provides real estate data solutions.

RealScout: Offers real estate search and data services.

Melissa: Specializes in global contact data quality and identity verification solutions.

Competitor Analysis

ATTOM: Focuses on real estate data, offering property data solutions.

RealScout: Provides real estate search and data services, including property listings and market insights.

Melissa: Offers data quality and identity verification services across various sectors.

Strategic Collaborations and Partnerships

Specific details regarding Datafiniti's strategic collaborations and partnerships are not publicly disclosed.

Operational Insights

Datafiniti differentiates itself through its comprehensive data coverage, ease of access via web portals and APIs, and a focus on data quality and customization. These factors contribute to its competitive position in the market.

Strategic Opportunities and Future Directions

Datafiniti has opportunities to expand its dataset offerings, enhance data quality through advanced technologies, and explore new markets to further solidify its position in the data aggregation and structuring industry.