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epctex

Data & analytics

Data Harvesting

Collect data from many sources and turn it into insight on products, pricing and customers. We automate the whole harvesting process for you.

Delivery
Any format
First data
About 1 week
Engagement
Fully managed
Pricing
Quoted per project

How engagements work · delivery formats, timelines, pricing and compliance.

Overview

Businesses that harness data well gain a significant competitive edge. Data harvesting is the process of collecting data from a variety of sources. That data can then be used to improve business processes, make better decisions, target marketing efforts, understand customer behavior, and gain a competitive edge, for businesses of every size.

Benefits of data harvesting

Data harvesting saves time and money by reducing the need for manual data entry and analysis. It provides insights that would otherwise be unavailable, which leads to better-informed decisions, and it helps you understand what your customers want and need.

How data harvesting works

Data can be harvested manually, through surveys and interviews, or automatically, through methods such as web scraping.

Manual methods collect rich, detailed data but are slow and expensive. Automated methods are much faster and more cost-effective. Once the data is collected, it can be analyzed using statistical methods, data visualization, and machine learning.

How epctex helps

Data harvesting helps companies decide what products to sell, how to price them, and where to advertise them, but collecting and analyzing all that data is a challenge. We automate the data harvesting processes you need to make smart, data-driven decisions and get ahead of the competition.

Proof

Data Harvesting in practice.

Real projects, real numbers. Here is how clients used this service.

All case studies

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How we work

From first call to data on schedule.

We handle the technicalities of data acquisition and automation, so you can focus on growing your business.

  1. 1$ scope

    Define project goals

    In a first consultation, we discuss your specific data needs and desired outcomes to make sure the project succeeds.

  2. 2$ sample

    Build a custom extraction

    We set up automated extractions tailored to your use case and send you a sample dataset before any full-scale collection.

  3. 3$ deliver

    Collect and deliver

    Once you approve the sample, we collect data at scale and deliver it within the agreed timeframe.

  4. 4$ monitor

    Maintain and manage

    Our team keeps every subsequent run healthy and makes sure your data arrives on schedule, with minimal disruption.