Grepsr

Joined September 2021

13 stories

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We are a team of tech-enthusiasts on a mission to ease the data needs of businesses around the world.

If you need clean and up-to-date data for your business, you need not look any further!

Stories (13)

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Win the Coveted Buy Box on Amazon with Data
One of the reasons Amazon stays on top of the E-Commerce food chain is the leadership’s undivided attention to the needs of the customer. Owing to this fact, sellers are encouraged to bring their A-game to the platform.
By Grepsr 4 years ago in Geeks
Enabling Market Expansion: Data Refinement at Grepsr
Any data is only as good as the insights derived from it. However, before we begin the analysis, the data must be put through adequate pre-processing techniques that standardize, aggregate, and categorize the dataset.
By Grepsr 4 years ago in Journal
Why Data Refinement is Important for Your Business
Did you know most analysts spend 50 to 80 percent of their time refining their data than any other function in the data lifecycle? Even when we include other steps like data extraction, data analysis, and data visualization?
By Grepsr 4 years ago in 01
Significance of Big Data in the Tourism Industry
According to the UN's World Tourism Organization, tourism accounts for 10% of the world GDP. It also shares a similar statistic in the overall job market, creating one in every 11 jobs.
By Grepsr 4 years ago in Geeks
Grepsr's 2021 — A Year in Review
As another year comes to a close, and life goes back to some kind of normalcy around the world, everyone at Grepsr would like to wish our readers the very best of health, success and happiness in 2022!
By Grepsr 4 years ago in Journal
The Importance of Data in Journalism
Since 2021 has come to a close, we thought it apt to look back at the year one last time and reveal some of the biggest data facts it had to offer.
By Grepsr 4 years ago in Journal
Significance of Data in the Shipping Industry
Before the pandemic, the global supply chain relied on predictable inventory flows. There was high schedule reliability, which meant the carriers usually followed the same schedules. This ensured the arrival of inventory in time, replenishment of stores, and constant operation of the factories.
By Grepsr 4 years ago in Journal
Applications of POI (Point of Interest) Data in Business
In the Paleolithic age, when mankind still relied on caves for housing requirements, and the best way to make a living was with a crude ax made out of bones, the ability to locate key Points of Interest or geographic locations was nothing short of a matter of life and death.
By Grepsr 4 years ago in Journal
Think Strategically: Five Steps to Superior Data Analysis
This is one piece of a three-part series that looks at the various methods, techniques, and essential steps to ensure superior data analysis.
By Grepsr 4 years ago in 01
Qualitative and Quantitative Data Analysis Methods
This is one piece of a three-part series that looks at the various methods, techniques, and essential steps to ensure superior data analysis.
By Grepsr 4 years ago in Geeks
Data Analysis: Most Used Techniques
This is one piece of a three-part series that looks at the various methods, techniques, and best industry practices associated with data analysis.
By Grepsr 4 years ago in 01
Applications of Data Normalization in Retail & Ecommerce
Whether you’re in retail, hospitality or housing, it’s fair to say that any modern company deals with large volumes of data on a daily basis. This data could be anything from inventory product attributes, to customer information.
By Grepsr 4 years ago in 01

Grepsr

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Filter by community

Win the Coveted Buy Box on Amazon with Data

Enabling Market Expansion: Data Refinement at Grepsr

Why Data Refinement is Important for Your Business

Significance of Big Data in the Tourism Industry

Grepsr's 2021 — A Year in Review

The Importance of Data in Journalism

Significance of Data in the Shipping Industry

Applications of POI (Point of Interest) Data in Business

Think Strategically: Five Steps to Superior Data Analysis

Qualitative and Quantitative Data Analysis Methods

Data Analysis: Most Used Techniques

Applications of Data Normalization in Retail & Ecommerce

Stories (13)