Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
216.73.216.35
{
  "geoplugin_status":429,
  "geoplugin_message": "Blacklisted due to sending too many requests to geoplugin.net. Consider whitelisting your IP or domain",
  "geoplugin_url": "https://www.geoplugin.com/premium/"

}
http://www.geoplugin.net/php.gp?ip=216.73.216.35
Array
(
    [success] => 
    [message] => You've hit the monthly limit
)
Array
(
    [status] => success
    [country] => United States
    [countryCode] => US
    [region] => OH
    [regionName] => Ohio
    [city] => Columbus
    [zip] => 43215
    [lat] => 39.9625
    [lon] => -83.0061
    [timezone] => America/New_York
    [isp] => Amazon.com
    [org] => Anthropic, PBC
    [as] => AS16509 Amazon.com, Inc.
    [query] => 216.73.216.35
)
How-to-Effectively-Use-Web-Scraping-for-Review-Monitoring-01

Introduction

In the current digital landscape, online reviews wield substantial influence over the reputation and prosperity of businesses. Whether concerning products, services, or brands, customer feedback stands as a crucial asset, offering profound insights into consumer sentiment, preferences, and areas ripe for enhancement. With the vast amount of data available online, manually monitoring reviews is impractical. This is where web scraping for review monitoring comes into play. By leveraging automated review data extraction, businesses can efficiently gather and analyze online reviews to stay ahead of the competition.

Why Monitoring Online Reviews with Web Scraping is Essential?

Why-Monitoring-Online-Reviews-with-Web-Scraping-is-Essential-01

Monitoring reviews with web scraping has become an indispensable tool for businesses aiming to maintain a positive reputation and gain a competitive edge. Here’s why you should integrate web scraping review monitoring into your business strategy:

Comprehensive Data Collection

Web scraping review monitoring allows businesses to collect vast amounts of data from various sources, including review websites, social media, and forums. This comprehensive data collection provides a holistic view of customer opinions and experiences, which is crucial for understanding market trends and customer preferences.

Real-Time Insights

With automated review data extraction, businesses can perform real-time review monitoring. This immediacy enables companies to quickly identify and respond to customer issues, enhancing customer satisfaction and loyalty. Real-time insights are particularly valuable for promptly addressing negative feedback and turning potential crises into opportunities.

Enhanced Customer Feedback

Web scraping for customer feedback offers deeper insights into what customers are saying about your products or services. This detailed feedback helps in identifying strengths, areas for improvement, and emerging trends that might not be apparent through traditional feedback channels.

Competitive Analysis

By using review scraping tools to gather data about competitors, businesses can conduct a competitive analysis using review data. Understanding competitors’ strengths and weaknesses through their customer reviews provides actionable insights for strategic planning and differentiation.

Efficient and Accurate Data Extraction

Web scraping solutions for review management ensure that the data extraction process is efficient and accurate. Automated review data extraction minimizes manual errors and ensures consistency in data collection, making the analysis process more reliable.

Sentiment Analysis

Review sentiment analysis scraping enables businesses to gauge the overall sentiment of customer reviews. This analysis helps in understanding the emotional tone behind customer feedback, which is critical for making informed business decisions.

Cost-Effective Solution

Data scraping for online reviews is a cost-effective solution for businesses. It reduces the need for manual monitoring and allows for large-scale data collection and analysis without significant resource investment.

Incorporating web scraping for review monitoring into your business strategy ensures you stay ahead of the competition, understand your customers better, and make data-driven decisions that foster growth and success.

Which Platforms Provide Valuable Data for Sentiment Analysis?

Which-Platforms-Provide-Valuable-Data-for-Sentiment-Analysis-01
Review Websites:
Yelp:

Yelp is a valuable platform for businesses looking to perform sentiment analysis through web scraping review monitoring. It offers structured data including ratings, reviews, and photos, essential for understanding customer sentiments and managing online reputation effectively. Businesses can leverage review scraping tools to automate data extraction, ensuring real-time review monitoring and competitive analysis.

TripAdvisor:

TripAdvisor provides extensive reviews and ratings for travel-related services, making it a prime source for sentiment analysis. Web scraping TripAdvisor allows businesses to extract customer feedback, analyze sentiment trends, and optimize service quality based on real-time insights. Automated review data extraction tools enable efficient data collection, supporting competitive analysis and customer feedback management.

Google Reviews:

Google Reviews integrated with Google Maps and Search offers businesses a comprehensive view of customer feedback. Monitoring reviews with web scraping on Google Reviews allows businesses to gather data for sentiment analysis, track customer satisfaction levels, and improve local SEO strategies. Real-time review monitoring using automated tools ensures businesses stay responsive to customer feedback and enhance review management practices.

Amazon Customer Reviews:

Amazon's vast e-commerce platform features detailed customer reviews and ratings for products across various categories. Web scraping for customer feedback on Amazon allows businesses to extract product-specific sentiments, perform competitive analysis, and optimize product listings based on customer preferences. Review sentiment analysis scraping tools automate data extraction, providing actionable insights for enhancing product offerings and customer satisfaction.

Social Media Platforms:
Social-Media-Platforms-01
Facebook:

Facebook's expansive user base makes it a significant source for monitoring reviews with web scraping. Businesses can track brand mentions, customer reviews, and comments to analyze sentiment and engagement levels. Web scraping solutions for review management on Facebook include automated tools for real-time review monitoring, enabling businesses to respond promptly to customer feedback and enhance social media reputation.

Twitter:

Twitter's real-time nature makes it ideal for monitoring reviews and sentiments through web scraping. Businesses can track hashtags, mentions, and tweets related to their brand to gather customer feedback and sentiment insights. Automated review data extraction tools on Twitter facilitate competitive analysis and sentiment trend monitoring, supporting effective social media engagement strategies.

Instagram:

Instagram's visual-centric platform provides opportunities for web scraping solutions for review management. Businesses can monitor tagged posts, comments, and hashtags to extract customer feedback and sentiment analysis data. Automated tools for real-time review monitoring on Instagram help businesses understand customer sentiments towards visual content, optimize engagement strategies, and enhance brand perception.

LinkedIn:

LinkedIn offers a professional networking platform where businesses can monitor reviews with web scraping for sentiment analysis. Companies can track company page comments, article engagements, and group discussions to gather insights into professional sentiments and perceptions. Web scraping solutions for review management on LinkedIn include analytics tools for data extraction, supporting targeted content strategies and industry-specific engagement.

E-commerce Sites:
E-commerce-Sites-
eBay

eBay's marketplace provides extensive customer reviews and ratings that are valuable for sentiment analysis through web scraping. Businesses can extract data to analyze product-specific sentiments, monitor seller feedback, and optimize sales strategies. Automated review data extraction tools on eBay support competitive analysis and customer feedback management, enhancing product visibility and customer satisfaction.

Alibaba

Alibaba's B2B e-commerce platform features product listings and supplier ratings essential for sentiment analysis. Web scraping Alibaba reviews allows businesses to assess supplier credibility, product quality, and customer satisfaction levels. Real-time review monitoring using automated tools enables efficient data extraction for competitive analysis and supply chain optimization strategies.

Walmart

Walmart's retail platform hosts customer reviews and ratings for products, providing insights into product performance and customer sentiments. Businesses can leverage web scraping for customer feedback on Walmart to gather data for sentiment analysis, optimize product listings, and improve customer experience strategies. Review sentiment analysis scraping tools automate data extraction, facilitating competitive analysis and customer engagement initiatives.

Flipkart

Flipkart, a prominent e-commerce platform in India, offers customer reviews and ratings across diverse product categories. Businesses can perform sentiment analysis through web scraping Flipkart reviews to understand customer preferences, monitor competitor products, and enhance sales strategies. Automated review data extraction tools support real-time review monitoring and competitive analysis, enabling businesses to stay responsive to market trends and customer feedback.

Forums and Blogs:
Forums-and-Blogs-01
Reddit

Reddit's community-driven forums provide authentic user-generated content valuable for sentiment analysis. Businesses can monitor subreddit discussions, comments, and posts through web scraping to gather insights into niche interests and sentiments. Automated tools for data scraping on Reddit facilitate competitive analysis and trend monitoring, supporting targeted marketing strategies and community engagement initiatives.

Quora

Quora's question-and-answer platform offers insights into customer concerns and opinions through web scraping for sentiment analysis. Businesses can track discussions, responses, and user interactions to gather valuable feedback and sentiment trends. Web scraping solutions for review management on Quora include automated tools for data extraction, enabling businesses to enhance customer engagement and address industry-specific queries effectively.

Niche-Specific Forums

Niche-specific forums cater to specialized communities discussing specific topics or industries. These forums provide detailed discussions and reviews that businesses can monitor through web scraping for sentiment analysis. Automated tools for data scraping on niche forums enable businesses to gather targeted insights, identify market trends, and engage with niche communities for strategic marketing and product development.

Industry Blogs

Industry-specific blogs publish articles and reviews relevant to specific sectors or topics, offering valuable insights for sentiment analysis through web scraping. Businesses can monitor blog comments, article feedback, and expert opinions to gather industry sentiments and perceptions. Web scraping solutions for review management on industry blogs include analytics tools for data extraction, supporting content strategy development and thought leadership initiatives.

By leveraging web scraping for review monitoring across these platforms, businesses can gain actionable insights into customer sentiments, improve decision-making processes, and enhance overall customer satisfaction and engagement strategies.

What Are the Obstacles Faced When Extracting Reviews for Sentiment Analysis?

What-Are-the-Obstacles-Faced-When-Extracting-Reviews-for-Sentiment-Analysis-01

While web scraping review data offers numerous benefits, it also comes with its set of challenges:

Data Quality and Consistency

Ensuring the quality and consistency of the scraped data is crucial for accurate analysis. Inconsistent data can lead to misleading insights and poor decision-making.

Legal and Ethical Considerations

Scraping data from websites must be done in compliance with legal and ethical standards. Violating a website’s terms of service or data privacy regulations can result in legal consequences.

Dynamic Website Structures

Websites frequently update their structures and layouts, which can disrupt scraping scripts. Maintaining and updating these scripts to adapt to changes can be challenging.

Large Volume of Data

Handling large volumes of data requires robust infrastructure and processing capabilities. Businesses need to ensure they have the necessary resources to store, process, and analyze the data efficiently.

Sentiment Analysis Complexity

Accurately analyzing the sentiment of reviews can be complex due to the nuances of human language, such as sarcasm, idioms, and context. Developing sophisticated algorithms to interpret this data accurately is essential.

Automated Travel Data Extraction

Automated travel data extraction involves using specialized tools and software to scrape data from various sources without manual intervention. This approach offers several advantages:

Scalability

Automated tools can handle large volumes of data, making it possible to scrape information from multiple sources simultaneously.

Accuracy

Automation reduces the risk of human errors and ensures that the data collected is accurate and consistent.

Speed

Automated scraping tools can gather data much faster than manual methods, providing businesses with timely insights.

Real-Time Travel Data Scraping

In the travel industry, timing is everything. Real-time travel data scraping allows businesses to monitor market conditions and make decisions based on the latest information. Here are some benefits of real-time data scraping:

Dynamic Pricing

Airlines, hotels, and travel agencies can use real-time data to adjust prices based on demand and availability, optimizing revenue.

Timely Offers

By monitoring real-time data, businesses can identify opportunities to offer special deals or promotions to attract customers.

Immediate Insights

Real-time data provides immediate insights into market trends, enabling businesses to respond quickly to changes.

Web Scraping Solutions for the Travel Industry

There are various web scraping solutions available for the travel industry, each offering unique features and capabilities. Here are some popular options:

Custom Web Scraping Tools

Businesses can develop custom web scraping tools tailored to their specific needs. These tools can be designed to scrape data from particular sources and provide customized reports.

Third-Party Services

Several third-party services offer web scraping solutions for the travel industry. These services provide pre-built tools and platforms that can be used to scrape data without the need for in-house development.

APIs

Some travel websites and platforms offer APIs that allow businesses to access data programmatically. While not technically web scraping, APIs provide a structured way to gather data.

Travel Data Mining Techniques

Data mining techniques play a crucial role in extracting valuable insights from travel data. Here are some common techniques used in the travel industry:

Clustering

Clustering involves grouping similar data points together. In the travel industry, this can be used to identify customer segments with similar preferences and behaviors.

Classification

Classification techniques are used to categorize data into predefined classes. For example, customer reviews can be classified as positive, negative, or neutral.

Association Rule Learning

This technique identifies relationships between different data points. In travel, it can be used to find patterns such as which destinations are often booked together.

Competitive Edge with Travel Data Scraping

Gaining a competitive edge is crucial for success in the travel industry. Travel data scraping provides businesses with the insights needed to outperform competitors. Here are some ways data scraping can be leveraged:

Identifying Trends

By analyzing data from various sources, businesses can identify emerging trends and capitalize on them before competitors do.

Optimizing Offerings

Travel data scraping helps businesses understand what customers are looking for and adjust their offerings accordingly. This can include tailoring travel packages, improving services, and offering personalized recommendations.

Benchmarking Performance

Comparing performance metrics with competitors is essential for identifying areas of improvement. Travel data scraping provides the data needed for effective benchmarking.

Challenges and Considerations

While web scraping offers numerous benefits, it also comes with challenges and considerations:

Legal and Ethical Issues

Businesses must ensure that their scraping activities comply with legal regulations and ethical guidelines. This includes respecting website terms of service and protecting user privacy.

Data Quality

Ensuring the quality and accuracy of scraped data is crucial. Businesses need to implement validation processes to filter out erroneous or outdated information.

Technical Complexity

Developing and maintaining web scraping tools can be technically challenging. Businesses may need to invest in technical expertise or third-party services to overcome these challenges.

Future of Web Scraping in the Travel Industry

The future of web scraping in the travel industry looks promising, with advancements in technology and growing demand for data-driven insights. Here are some trends to watch for in 2024 and beyond:

AI and Machine Learning

The integration of AI and machine learning with web scraping tools will enhance the ability to analyze and interpret data, providing deeper insights.

Increased Automation

Automation will continue to play a key role in streamlining data extraction processes, making it easier and faster to gather information.

Enhanced Data Privacy

As data privacy regulations become stricter, businesses will need to adopt more secure and compliant data scraping practices.

Conclusion

At Actowiz Solutions, web scraping travel data in 2024 is a powerful tool for gaining better market insights and staying competitive in the dynamic travel industry. By leveraging travel data extraction, businesses can make informed decisions, optimize revenue, and enhance customer experiences. The importance of data scraping in travel cannot be overstated. With the right tools and techniques, businesses can unlock valuable insights and drive growth. As the industry continues to evolve, staying ahead of the curve with advanced web scraping solutions will be crucial for success.

Discover how our travel market research scraping, automated travel data extraction, and real-time travel data scraping services can transform your business. Utilize our web scraping solutions for the travel industry, including sophisticated travel data mining techniques and comprehensive travel datasets, to gain a competitive edge.

Contact Actowiz Solutions today and elevate your travel business to new heights! You can also reach us for all your mobile app scraping, data collection, web scraping, and instant data scraper service requirements.

216.73.216.35
{
  "geoplugin_status":429,
  "geoplugin_message": "Blacklisted due to sending too many requests to geoplugin.net. Consider whitelisting your IP or domain",
  "geoplugin_url": "https://www.geoplugin.com/premium/"

}
http://www.geoplugin.net/php.gp?ip=216.73.216.35
Array
(
    [success] => 
    [message] => You've hit the monthly limit
)
Array
(
    [status] => success
    [country] => United States
    [countryCode] => US
    [region] => OH
    [regionName] => Ohio
    [city] => Columbus
    [zip] => 43215
    [lat] => 39.9625
    [lon] => -83.0061
    [timezone] => America/New_York
    [isp] => Amazon.com
    [org] => Anthropic, PBC
    [as] => AS16509 Amazon.com, Inc.
    [query] => 216.73.216.35
)

Start Your Project

US

Additional Trust Elements

✨ "1000+ Projects Delivered Globally"

⭐ "Rated 4.9/5 on Google & G2"

🔒 "Your data is secure with us. NDA available."

💬 "Average Response Time: Under 12 hours"

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape Structure Analyze Visualize

Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.

Find Insights Use AI to connect data points and uncover market changes. Meanwhile.

Move Forward Predict demand, price shifts, and future opportunities across geographies.

Industry:

Coffee / Beverage / D2C

Result

2x Faster

Smarter product targeting

★★★★★

“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”

Operations Manager, Beanly Coffee

✓ Competitive insights from multiple platforms

Industry:

Real Estate

Result

2x Faster

Real-time RERA insights for 20+ states

★★★★★

“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”

Data Analyst, Aditya Birla Group

✓ Boosted data acquisition speed by 3×

Industry:

Organic Grocery / FMCG

Result

Improved

competitive benchmarking

★★★★★

“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”

Product Manager, 24Mantra Organic

✓ Real-time SKU-level tracking

Industry:

Quick Commerce

Result

2x Faster

Inventory Decisions

★★★★★

“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”

Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

✓ Reduced OOS by 34% in 3 weeks

Industry:

Quick Commerce

Result

3x Faster

improvement in operational efficiency

★★★★★

“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”

Business Development Lead,Organic Tattva

✓ Weekly competitor pricing feeds

Industry:

Beverage / D2C

Result

Faster

Trend Detection

★★★★★

“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”

Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

★★★★★

“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”

Growth Analyst, TheBakersDozen.in

✓ Improved rank visibility of top products

Trusted by Industry Leaders Worldwide

Real results from real businesses using Actowiz Solutions

★★★★★
'Great value for the money. The expertise you get vs. what you pay makes this a no brainer"
Thomas Gallao
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
Product Image
2 min
★★★★★
“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”
Thomas Gallao
Iulen Ibanez
CEO / Datacy.es
Product Image
1 min
★★★★★
“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”
Thomas Gallao
Febbin Chacko
-Fin, Small Business Owner
Product Image
1 min

See Actowiz in Action – Real-Time Scraping Dashboard + Success Insights

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

Price Drop + 12 min
in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & palniring

Monitor Prices, Availability & Trends -Live Across Regions

Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.

✔ Scraped Data: Price inights Top-slling SKUs

Our Data Drives Impact - Real Client Stories

Blinkit | India (Relail Partner)

"Actow's helped us reduce out of ststack incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actow's helped us reduce out of ststack incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

Actowiz Insights Hub

Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place

All
Blog
Case Studies
Infographics
Report
July 30, 2025

Why WebMD Drug Information Scraping Is Essential for Extracting Accurate Pharmaceutical Data?

Discover why WebMD Drug Information Scraping is vital for extracting accurate pharmaceutical data, dosage details, side effects, and drug interactions.

thumb

How U.S. Startups Leveraged the Lazada Grocery Dataset for Smarter Delivery Operations & Faster Market Penetration

Discover how U.S. startups used the Lazada grocery dataset to enhance delivery operations and speed up market entry with real-time retail and logistics insights.

thumb

Raksha Bandhan & Independence Day 2025: Travel Price Surge or Discount Season?

Explore how Raksha Bandhan & Independence Day 2025 affect airfare & hotel rates using Actowiz Solutions' travel scraping tools. Data reveals price hikes or discounts.

thumb

Scraping Food Delivery Data for Smart Digital Menu Systems in India

Discover how scraping food delivery data powers Smart Digital Menu Systems in India with real-time pricing, trends, and customer preference insights.

July 30, 2025

Why WebMD Drug Information Scraping Is Essential for Extracting Accurate Pharmaceutical Data?

Discover why WebMD Drug Information Scraping is vital for extracting accurate pharmaceutical data, dosage details, side effects, and drug interactions.

July 30, 2025

Tata CLiQ Personal Care Product Data Scraping - How to Extract Actionable Insights Easily

Tata CLiQ Personal Care Product Data Scraping helps brands extract insights on pricing, reviews & trends to boost product strategies and online visibility.

July 30, 2025

Amazon Seller Competitor Review Analysis - The Secret to Outselling Your Rivals

Boost sales with Amazon Seller Competitor Review Analysis—uncover insights from rival reviews to improve product strategy and outperform competition.

thumb

How U.S. Startups Leveraged the Lazada Grocery Dataset for Smarter Delivery Operations & Faster Market Penetration

Discover how U.S. startups used the Lazada grocery dataset to enhance delivery operations and speed up market entry with real-time retail and logistics insights.

thumb

Raksha Bandhan & Independence Day 2025: Travel Price Surge or Discount Season?

Explore how Raksha Bandhan & Independence Day 2025 affect airfare & hotel rates using Actowiz Solutions' travel scraping tools. Data reveals price hikes or discounts.

thumb

Competitive Benchmarking Using Amazon eCommerce Datasets

Discover how Amazon eCommerce Datasets enable competitive benchmarking, offering deep insights into pricing, trends, and product performance analysis.

thumb

Scraping Food Delivery Data for Smart Digital Menu Systems in India

Discover how scraping food delivery data powers Smart Digital Menu Systems in India with real-time pricing, trends, and customer preference insights.

thumb

99acres and MagicBricks Data Extraction - Real Estate Market Trends in India

Explore MagicBricks data extraction and 99acres insights to analyze real estate market trends in India, from pricing shifts to demand patterns across cities.

thumb

Real-Time Used Car Dataset from Carfax for Accident-Vehicle Insights

Explore how a Real-Time Used Car Dataset from Carfax enables accident-vehicle tracking, helping dealers, insurers, and buyers make informed, data-driven decisions.