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Diya Infotech Data & Analytics agency logo

Diya Infotech

Data & Analytics Ahmedabad, India
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Diya Infotech is a web scraping and data extraction service provider. It specializes in enterprise-level data extraction, validation, cleaning, and standardization. The agency delivers analytics-ready data for dashboards like Power BI and Tableau.

Diya Infotech is a web scraping and data extraction agency founded in 2000, headquartered in Ahmedabad, India, with an additional office in Jackson Township, New Jersey. The agency employs 50 to 99 professionals and is led by CEO Timir Patel, who has over 16 years of experience delivering advanced data solutions for global enterprises. Diya Infotech maintains a 4.8 Google rating from 19 reviews, with clients praising the work atmosphere and cooperative staff.

The agency offers a range of big data and market research services, including data engineering, data mining, data science, data strategy, data warehousing, and IBM Business Intelligence. It also provides business operations consulting and market research expertise such as AI market research, data analysis, data reporting, and market analysis. Diya Infotech specializes in extracting raw data from websites and applications, then validating, cleaning, and standardizing it for use in analytics dashboards like Power BI and Tableau.

Diya Infotech serves clients across multiple industries, including eCommerce, finance, food and beverage, insurance, health care, electronics, travel, entertainment, HR, and government. The agency works with startups, small businesses, medium businesses, and enterprise or corporate clients. Its client portfolio includes projects in the travel, eCommerce, and food and beverage sectors.

Google reviews reflect a positive sentiment, with comments such as "Good," "Very good work atmosphere in office. Co-operative staff," and "A Place which Inspires us Every Day." The agency's data extraction process includes two steps of quality checks and compliance with data regulations, ensuring go-to-market ready data. Diya Infotech's industry experts follow current trends to automate extraction and deliver structured datasets for business intelligence.

Services

  • Big Data Consulting
  • Data Engineering
  • Data Migration
  • Data Mining
  • Data Science
  • Data Strategy
  • Data Warehousing
  • IBM Business Intelligence
  • Business Operations Consulting
  • AI Market Research
  • Data Analysis
  • Data Reporting
  • Market Analysis

Industries Served

eCommerce Finance Food and Beverage Insurance Health Care Electronics Travel Entertainment HR Government

Team Size

50 - 99

Pros

  • Specializes in enterprise-level data extraction
  • Implements two-step quality checks before delivery
  • Follows data compliance standards
  • Has industry experts who follow current trends

Client Review Analysis

Positive reviews highlight good work atmosphere, cooperative staff, and inspiring environment.

Frequently Asked Questions

Diya Infotech provides web scraping, data extraction, data validation, cleaning, standardization, and analytics-ready data delivery for dashboards like Power BI and Tableau.
The agency has 50 to 99 employees, with a CEO who has over 16 years of experience in data solutions.
Its headquarters is in Ahmedabad, India, with an additional office in Jackson Township, New Jersey, United States.
Minimum project budgets range from $1,000 to $10,000, with an average hourly rate of $20.
The agency works with eCommerce, finance, food and beverage, insurance, health care, electronics, travel, entertainment, HR, and government sectors.
It serves startups, small businesses, medium businesses, and enterprise or corporate clients.
The agency uses a two-step quality check process and follows data compliance standards to deliver go-to-market ready data.
The agency has a 4.8 rating based on 19 Google reviews.
Yes, it specializes in enterprise-level data extraction from multiple industries including eCommerce, travel, and food aggregators.
Diya Infotech focuses on web scraping and data extraction with industry-specific expertise and compliance, making it suitable for clients needing structured, analytics-ready datasets.
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