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Boosting Business Intelligence with Managed Data Extraction

Did you know that Lotte, a South Korean conglomerate increased their sales up to $10 million thanks to Business Intelligence?

Business Intelligence with Managed Data Extraction

Business Intelligence is the process of collecting, analyzing, and presenting raw data that is transformed into meaningful insights. It involves methodologies that ultimately aid the business in making strategic and actionable data-driven decisions.

For a clearer understanding of Business Intelligence, you can divide it into two parts. First, it includes the strategies, techniques, and tools for collecting data. The next part is the reporting and insights from the data itself. Now these insights are significant for the business to make a variety of informed decisions. 

A comprehensive BI software system is designed to facilitate and streamline the BI process, encompassing data storage, processing, analysis, reporting, and data visualization, including the creation of dashboards.

Here is a Real-World Case Scenario: 

There is a leading corporation called Lotte in South Korea which consists of over 90 business units as of today. 

They faced the problem that customers would abandon their carts despite having a million visitors on their websites each day. 

Now as a solution, the general manager set up South Korea’s first online customer experience analytics system. With it, they could analyze the behavior, implement targeted marketing campaigns, and even update their website as needed. 

The outcome from the insights of this Business Intelligence system resulted in an increase in Customer Loyalty as well as $10 million in Sales. 

From this, you can certainly reckon how powerful Business Intelligence actually is. 

As the company’s cornerstone for transitioning from daily operations to making critical decisions, data plays a pivotal role. Exquisite data accuracy, however, is not a walk in the park. 

Therefore, from this blog, you can understand how legitimate data extraction service providers, like Grepsr, can enhance your business intelligence. 

Importance of Big Data in Business Intelligence

Let’s learn a few reasons why BI is vital to drive business success. 

Together, Big data and business intelligence can lead a company to gain a competitive advantage in their industry. They can unlock valuable insights from the competitor’s performance and customer behavior to make better-informed decisions. 

  • Data scientists and analysts leverage business intelligence (BI) along with powerful analytics tools to identify improvement opportunities and make strategic recommendations for company leadership.
  • By combining financial data with operations, marketing, and sales data, leaders can gain findings from which they can derive moves as well as recognize factors that influence profit and loss.
  • For marketing, BI can enable real-time campaign tracking, measure the performance of each effort, and plan KPIs for the next projects.
  • Big Data in BI can help manufacturing organizations enhance processes for production and increase assurance of quality while lowering costs.
  • Given its possession of global data, BI can perform faster analysis, reporting, and planning. 
  • Reports are highly customizable, and KPIs can be trackable using several data sources. Real-time generated dashboards provide pertinent data. 
  • This form of data visualization enables corporations and their employees to interpret data from metrics which is more clear-sighted. 

Thus, these reports offer information, accessibility, accuracy, and relevancy that help in making better decisions.

Challenges

However, it is quite challenging to extract data manually as the amount of data that is generated is skyrocketing each day.

Even a German market research firm Statista estimates the volume of data created worldwide by 2024 to reach 149 zettabytes.

Furthermore, it is a known fact that having false and inaccurate data is worse than having no data. There are higher chances of dealing with errors and getting botched results from analysis when you have false data. 

Now, here comes the role of external data providers to whom you can state your data requirements. Afterward, they enable you to gain insights from those hundreds of data sources that are relevant to your business industry.

Big-Data-In-BI
Representing the use cases of Big Data in Business Intelligence.

Managed Data Extraction Services for Business Intelligence

As we already stated, Big Data contains large volumes of diverse datasets that are utilized in business intelligence in many different ways. 

With the help of it, you can understand the market trend, and customer sentiments and improve customer service with a more personalized experience. 

Also, it is essential for the product development process, targeted marketing efforts, competitor analysis, and improved efficiency of business operations. 

Features

Web Scraping is the process of automating data extraction from a certain website. A web scraping service extracts specific data from a variety of sources by writing scripts, or using specialized software to navigate web pages. Then, it is provided to the client in a structured format such as XLs, CSV, or JSON. 

Now you may wonder, if it is that simple to get access to quality data by just writing scripts of codes or using a tool in-house then why would you need to outsource the process? 

The main reason is that with automated tools, dealing with the IP Blocks, CAPTCHA, and Dynamic contents is challenging. Since it is a tool, it will read and extract even the unnecessary variables on the web page which will be an inefficient and redundant task. 

Similarly, manual extraction and hand-coding to build a crawler elevate the possibility of errors. Furthermore, the necessity of entering, amending, and re-entering massive volumes of data wreaks havoc on data integrity.

Therefore, structured datasets provided by the service companies are validated in quality to get through the process of analysis. With this, business executives are able to make informed decisions that are backed by data. 

Being backed by data means that the decision you came up with is not just guesswork but is based on research, evidence, statistics, and reports from data analysis that assure its credibility. 

For business intelligence, a managed data extraction service provider like Grepsr can be handy as it is recognized for its best feature which is the quality-assured, reliable data acquisition perfected at scale. 

Data to make or break your business
Get high-priority web data for your business, when you want it.

How Managed Data Extraction Services Enhance Business Intelligence 

Building on from our earlier point, employing a credible web data extraction service like Grepsr, will help you enjoy the following privileges to enhance your Business intelligence:

A. Improved Data Quality

As highlighted before, we are known for our exceptional quality of data. 

You can now clearly understand that Business intelligence (BI) is a technology-driven process for evaluating data and offering actionable insights that assist leaders, managers, and employees in making informed decisions for their business. 

Data quality is important for analyzing, querying, and creating visualizations like BI dashboards.

As a trusted web scraping partner, we thoroughly test the millions of data records with the proficiency of our Quality Assurance team. Partner with Grepsr so you can elevate your operational decision-making and strategic planning. 

B. Timely Data Acquisition

In the ever-evolving realm of technology, we have emphasized much on the importance of data. Suppose you’re particularly a customer-oriented B2C business, such as online retail for electric devices. In that case, you need real-time, reliable, and frequent data to keep up with the market trends and customer sentiments. 

Similar to the case of Lotte, you must be efficient in building interpersonal relationships by updating your business intelligence system. For that, you need timely data from a trusted data partner, for new information regarding the preferences of customers. 

This will undoubtedly fuel the growth of your business. Only if you are able to understand your target audience, you can successfully lead in your specific industry. 

C. Cost-Effective Data Collection

Every business’s ultimate goal is to induce profitable growth with the lowest cost possible. As a business that needs data at scale, you can benefit greatly from an external data partner, rather than hiring an employee for data acquisition. 

After collecting data, businesses need to analyze, visualize, and use the insights to make informed decisions. 

Hiring data scientists for both data collection and analysis couldn’t be worse than having no data.

The reason is that it is neither cost-effective nor time-efficient. As we already discussed above, web scraping by a single person even by running scrips or using tools in-house causes issues due to anti-bot mechanisms. 

Therefore, joining forces with a data extraction service is proven to be way more cost-effective and hassle-free for you to enhance your BI system. We can meet your specific requirements with lightning-fast delivery.

D. Scalability and Flexibility

Data is required in a huge volume for proper analysis. However, that volume of data is not easy to obtain by in-house efforts. 

Grepsr is capable of handling even the increasing data loads without harming the performance and quality of your data requirements. 

In addition, we can also adapt to the changing needs of our clients for each process, and provide them their specific dataset. 

For instance, a loyal client of ours had been asking for data for Dell laptops and their prices from all the retailers on the platform Amazon. They suddenly changed their data requirement to include the product model and its sub-category along with its price. Experienced web scraping service providers can integrate data seamlessly to develop your Business Intelligence, despite the challenge. 

Thus, scalability and flexibility are the factors that make outsourcing the best option. 

Enhancing BI with Data Extraction
Data extraction services can optimize your BI system for better insights and decision-making.

End Note

In summary, Business Intelligence (BI) is the cornerstone of informed decision-making in today’s data-driven world. 

Successful businesses stand out by effectively collecting, analyzing, and deriving valuable insights from large data sets.

With Grepsr, you can harness the power of quality data at scale to enhance your Business Intelligence and secure your competitive edge. The benefits are clear:

  • Improved Data Quality: Elevate your decision-making with thoroughly validated data.
  • Timely Data Acquisition: Stay ahead in your industry with real-time and reliable data.
  • Cost-Effective Data Collection: Achieve profitable growth while minimizing costs.
  • Scalability and Flexibility: Adapt to changing data requirements seamlessly.

Don’t let data challenges hold your business back. With Grepsr, supercharge your BI efforts and stay at the forefront of your industry today.

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legality of web scraping

Legality of Web Scraping in 2024 — An Overview

Ever since the invention of the World Wide Web, web scraping has been one of its most integral facets. It is how search engines are able to gather and display hundreds of thousands of results instantaneously. And also how companies build databases, develop marketing strategies, generate leads, and so on. While its potentials are immense, […]

image scraping

Image Scraping — What is It & How is It Done?

From retail and real estate to tourism and hospitality, images play a vital role in influencing customer decisions. Hence, it is important for brands to see what kinds of photos are turning prospects into customers. On the other side, customers go through numerous products and images before settling on a final choice. Similarly, analysts browse […]

data from alternate sources

Data Scraping from Alternate Sources — PDF, XML & JSON

An unconventional format — PDF, XML or JSON — is just as important a data source as a web page.

QA protocols at Grepsr

QA at Grepsr — How We Ensure Highest Quality Data

Ever since our founding, Grepsr has strived to become the go-to solution for the highest quality service in the data extraction business. At Grepsr, quality is ensured by continuous monitoring of data through a robust QA infrastructure for accuracy and reliability. In addition to the highly responsive and easy-to-communicate customer service, we pride ourselves in […]

benefits of high quality data

Benefits of High Quality Data to Any Data-Driven Business

From increased revenue to better customer relations, high quality data is key to your organization’s growth.

quality data

Five Primary Characteristics of High-Quality Data

Big data is at the foundation of all the megatrends that are happening today. Chris Lynch, American writer More businesses worldwide in recent years are charting their course based on what data is telling them. With such reliance, it is imperative that the data you’re working with is of the highest quality. Grepsr provides data […]

11 Most Common Myths About Data Scraping Debunked

Data scraping is the technological process of extracting available web data in a structured format. More businesses globally are realizing the usefulness and potential of big data, and migrating towards data-driven decision-making. As a result, there’s been a huge rise in demand in recent years for tools and services offering data for businesses via Data […]

amazon scraping challenges

Common Challenges During Amazon Data Collection

Over the last twenty years, Amazon has established itself as the world’s largest ecommerce platform having started out as a humble online bookstore. With its presence and influence increasing in more countries, there’s huge demands for its inventory data from various industry verticals. Almost all of the time, this data is acquired via web scraping […]

amazon data extraction

Customer Review Insights: Analyzing Buyer Sentiments of Amazon Products

Actionable insights from Amazon reviews for better decision-making

web scraping with python

Track Changes in Your CSV Data Using Python and Pandas

So you’ve set up your online shop with your vendors’ data obtained via Grepsr’s extension, and you’re receiving their inventory listings as a CSV file regularly. Now you need to periodically monitor the data for changes on the vendors’ side — new additions, removals, price changes, etc. While your website automatically updates all this information when you […]

A Look Back at Grepsr’s 2020

A brief look at Grepsr's achievements in data extraction and industry reach in 2020, and a glimpse into 2021 plans.

Our Newly Redesigned Website is Live!

We’ve redesigned our website to make it easier for you to find what you’re looking for

data mining during covid

Role of Data Mining During the COVID-19 Outbreak

How web scraping and data mining can help predict, track and contain current and future disease outbreaks

Grepsr’s 2019 — A Year (and Decade) in Review

Time flies when you’re having fun

Introducing Grepsr’s New Slack-like Support

Making our data acquisition specialists more accessible to busy professionals

Introducing Grepsr’s Data Quality Report

Quality assured data to help you make the best business decisions

Report History/Activity on the Grepsr App

A walk-through detailing your report history and how to access (and download) your report’s data from historic crawl runs

Data Retention in Grepsr

New policy announcement

Automate Future Crawls Using Scheduler

Configure and enable schedules to automate future crawls

Data Delivery via FTP

Have your Grepsr files synced automatically to your FTP/SFTP server

Data Delivery via Webhooks

Get notified as soon as your Grepsr data is ready

Data Delivery via Google Drive

Have your Grepsr files synced automatically to your Google Drive

Data Delivery via Amazon S3

Have your Grepsr files synced automatically to your Amazon S3 bucket

Data Delivery via Box

Have your Grepsr files synced automatically to your Box account

Data Delivery via File Feed

Under File Feed, there are two URLs — marked ‘Latest’ and ‘All’. Here’s a brief demo:

Customized Data Extraction via Grepsr Concierge

Although Grepsr for Chrome is a powerful tool in itself, it sometimes lacks the capability to extract data from some websites that are poorly structured, where data fields are hidden, and so on. Here we give you a simple demonstration on how you can get data from these complex websites via our custom platform — Grepsr Concierge. […]

Common Issues and Tips to Get the Best out of Grepsr

We know how annoying it is when you’ve spent time setting up Grepsr for Chrome to collect your data fields, and then you get back partial or no data at all.

Feeds & Endpoint API for Your Data in Grepsr

In our last post, we showed you how to automate your data delivery process in the Grepsr app. This time let’s have a quick look at data feeds and endpoints[*]. Your scraped data’s Endpoint API is the final stop it makes in its journey— starting from the host website, then to your Grepsr account via our crawler, and […]

Automate Your Data Delivery on the Grepsr App

I’m sure you’ve already got the hang of Grepsr for Chrome by now. If you’re like some of our users who are inquiring about data delivery on the app, then this blog is for you! Once you’ve set up your project and the app starts to extract your data, depending on the volume of data requested, it might […]

Kick-Start Your E-commerce Venture with Grepsr

400+ million entrepreneurs worldwide are attempting to start 300+ million companies, according to the Global Entrepreneurship Monitor. Approximately a hundred million new businesses start every year around the world, while a similar number also fold. What sets successful firms apart are the innovations and resources they utilize that help them stay healthy and relevant. Grepsr […]

How to Use Grepsr Browser Tool to Scrape the Web for Free

A beginner’s guide to your favorite DIY web scraping tool Just over a year ago, we introduced the all new Grepsr along with a beta launch of Chrome extension to fill the gap that Kimono Labs, a widely popular scraping tool, left since it’s closure. Now after a year of iteration on both the UI and UX along with shipping […]

Importance of Web Scraping in the Age of Big Data

Big Data has become an internet buzz lately. Not a day goes by without a mention of Big Data in many articles published by media or tech companies around the world.

FIVE Essential Questions for Assessing your Big Data Deployment Readiness

Big Data isn’t just a big buzzword. Nor is it merely a business ritual. Ask yourself these 5 essential questions to know if you business is ready for data-driven transformation in the Big Data era

Five Major Impacts of Location Data on Marketing

It’s not merely a coincidence that today almost all of the major business enterprises run online store locator services to their customers. They want their stores and services to be easily found and accessed. Moreover, they are extensively using location data to pursue their customers where they are and to persuade them to buy their […]

Data Extraction for BI: Picking the Right Services is Crucial

Finding the appropriate data warehousing and Business Intelligence (BI) platforms that can understand and address your business concerns, priorities, and needs is a daunting task. Specifically, the ones that can have cohesive approaches in generating and deploying your data

Seven Key Areas Where Big Data has Brought Big Transformations

As the volume, variety, and velocity of Big Data increases, so does its value and application. Today, there is a widespread use of Big Data, and the whole fabric of life has become increasingly data driven. Here is a brief review of 7 major areas which have gone through massive transformations driven by data: Business Business enterprises […]

Data Mining for Developing Business Intelligence

The growing use of digital technologies in every sphere of life has resulted in the rapid escalation of digital data. While digitization of the facilities of everyday use has given rise to datafication, the process of datafication has produced a byproduct known as big data, which is regarded as a new oil of the digital […]

How Grepsr Works: A Brief Introduction

Web crawling and data extraction services at Grepsr are simple, quick, hassle free and intuitive. We focus on providing top–quality services to our customers in the highly competitive rates. Our strong base–with cutting-edge technologies and advanced infrastructure–in Kathmandu and our maturing technical expertise in the area have helped us to compete with the top tire […]

11 Interesting Quotes about Data

These days, almost everybody—be it a casual technophile or a trailblazing technocrat—has something to say about the usefulness of data. Apparently, there is no area of human interest where you cannot achieve agility, efficiency, and better outcome by deploying data science. Business, astronomy, neuroscience and you name it. Data had never been generated with such […]

Data Analytics for Better Business Intelligence

Advanced information technology has brought a massive paradigm shift in every aspect of human life We spend more and more of our working hours on the digital screens, either generating or aggregating digital data. Internet, what would have seemed something unimaginable only a few decades ago, has become an essential part of our daily businesses. […]

Big Data is Redefining News & Journalism

If digital data were something physical, it would have massively altered the shape of our world, probably, with new data mountains rising every hour. Whether you browse the web or flip pages of print media, you are sure to stumble upon some news about big data, all the while feeding the web with your digital […]

Location Analytics: ‘Where’ is the Knowledge of Data

Digital Technology and Rediscovery of Geography A substantial amount of data that Grepsr processes and provides to its business partners worldwide contains location-specific information. According to IDC, an American data research firm, 80% of data collected by organizations has location element, and according to ABI Research, location analytics market will rise up to $9 billion by […]

Data Mining: How Can Businesses Capitalize on Big Data?

In the recent years, data mining has become a prickly issue. The big controversies and clamors it has gathered in the political and business arenas suggest its importance in our time. No wonder, it is used as a household name in the business world. Data mining, in fact, is an inevitable consequence of all the technological innovations […]

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