Introduction

Below is the summary of customer reviews for Zlatko Matić (i.e. Matasoft) fuzzy data matching services, being offered via Fiverr and Upwork freelancing platforms.

This summary is generated by Perplexity AI.

Customer Reviews Summary, by Perplexity AI

Zlatko Matić (Matasoft) Data Matching Services: A Review of Customer Feedback

Zlatko Matić, operating under the name Matasoft, offers specialized data matching, cleansing, and merging services on freelance platforms like Fiverr and Upwork. This review focuses on the customer feedback available on these platforms to provide a comprehensive overview of his services.

Customer Reviews

Fiverr Reviews

On Fiverr, Zlatko Matić has garnered a strong reputation with a 5-star rating out of 5, based on 44 reviews.

Here are some highlights from customer feedback:

  • Efficiency and Quality: Many clients praise Matić's quick turnaround times and high-quality work. For example, one reviewer noted, "Zlatko is a master of data matching. He delivered high-quality work in a very short time frame."
  • Professional Communication: Clients appreciate his professional and clear communication. A reviewer commented, "Zlatko was very responsive and kept me updated throughout the project."
  • Technical Expertise: His technical skills in data manipulation are frequently mentioned. A client stated, "He has a deep understanding of data matching techniques and was able to solve a complex problem for us."
  • Reliability and Consistency: Clients highlight his reliability and consistency in delivering quality work. A reviewer noted, "Zlatko is reliable and consistently delivers high-quality work. We have used him multiple times."
  • Problem-Solving Skills: His ability to tackle complex data challenges is praised. A client commented, "He was able to solve a difficult data matching problem that others couldn't."
  • Customer Service: His customer service skills are also commended. A reviewer stated, "Zlatko provided excellent customer service and was very patient with our requests."

Upwork Reviews

On Upwork, Zlatko Matić also maintains a high rating, with a 4.8-star rating out of 5, based on 25 reviews.

Key points from customer feedback include:

  • Technical Skills: Clients appreciate his technical expertise in data manipulation and visualization. A reviewer noted, "Zlatko is highly skilled in data manipulation and visualization. He completed our project ahead of schedule."
  • Professional Communication: His clear and professional communication is highlighted. A client commented, "He communicated clearly and was very professional throughout the process."
  • Quality of Work: The quality of his work is consistently praised. A reviewer stated, "The quality of his work was exceptional, and he helped us make sense of our complex data sets."
  • Problem-Solving Skills: His ability to tackle complex problems is also noted. A client appreciated his "ability to tackle complex problems and provide insightful guidance."

Key Themes

Based on the customer reviews, several key themes emerge:

  1. Efficiency: Quick turnaround times and high-quality work are consistently mentioned.
  2. Communication: Professional and clear communication is highly valued by clients.
  3. Technical Expertise: Deep understanding of data matching techniques and high technical skills are frequently praised.
  4. Problem-Solving: Ability to solve complex data matching problems is a recurring theme.
  5. Customer Service: Excellent customer service and patience with client requests are highlighted.

Conclusion

Zlatko Matić's services on Fiverr and Upwork are highly regarded by his clients, who appreciate his technical expertise, efficiency, professional communication, problem-solving skills, and excellent customer service. His ability to deliver high-quality data matching and cleansing services has earned him a strong reputation on both platforms. Businesses seeking reliable and skilled data services can consider Matasoft as a viable option.

Customer Reviews Source

Customer satisfaction is imperative to us. Check what our customers say about this fuzzy data matching services with QDeFuZZiner!

On Fiverr (preferred platform): https://www.fiverr.com/fuzzyzlatko

On Upwork: https://www.upwork.com/en-gb/freelancers/~0178c4462577eaf60d

The Importance of Data Cleansing and Matching: How Matasoft Can Help

In today's data-driven world, the quality and accuracy of your data are crucial for making informed business decisions. However, maintaining clean and reliable data can be a daunting task, especially when dealing with large datasets from multiple sources. This is where data cleansing and matching services come into play, and Matasoft, led by Zlatko Matić, is at the forefront of providing these essential services.

The Benefits of Data Cleansing

Data cleansing is the process of identifying and correcting errors, inconsistencies, and inaccuracies in your data. This process is vital for several reasons:

Improved Efficiency: Clean data means more efficient and effective marketing campaigns and higher customer acquisition rates. It is reported that conversion rates are roughly 25% higher for organizations with clean data between the inquiry and marketing-qualified lead stages.

Better Decision-Making: Accurate data supports better analytics and business intelligence, leading to better decisions and overall success of your business.

Insight into Your Customer and Market: Clean data provides valuable insights into who your customers are, allowing you to improve your product or service offerings, marketing methods, and customer service processes.

Increased Productivity: A clean and properly maintained database helps increase overall productivity by reducing the time wasted on understanding and correcting data errors.

Revenue Boost: 66% of organizations with clean data report a boost in revenue, underscoring the financial benefits of data cleansing.

The Role of Data Matching

Data matching, particularly fuzzy data matching, is a critical component of data cleansing. It involves identifying and linking similar records that may have slight variations or errors. Matasoft specializes in fuzzy data matching, merging, and deduplication services, ensuring that your data is accurate, consistent, and reliable.

How Matasoft Can Help

Matasoft offers a range of services tailored to meet your data needs:

Fuzzy Data Matching: Identifying and linking similar records based on approximate string similarity.

Data Merging: Combining multiple datasets into a unified, coherent format.

Data Deduplication: Removing duplicate entries to ensure data consistency.

Data Cleansing: Correcting errors, inconsistencies, and inaccuracies in your data.

These services are designed to help businesses improve the quality and reliability of their data, making it easier to make informed decisions and drive success.

Consolidate Your Data To Improve Your Business

In a world where data quality can make or break a business, Matasoft's data cleansing and matching services are invaluable. By leveraging these services, you can ensure that your data is accurate, consistent, and reliable, paving the way for better decision-making, improved efficiency, and increased revenue. Whether you're dealing with customer databases, product catalogs, or other datasets, Matasoft is here to help you unlock the full potential of your data.

Contact

Be free to contact us with your business case and ask for our free analysis and consultancy, prior ordering our fuzzy data matching services.

Sales Contact

Order your FUZZY data matching services (offered on Fiverr) here: https://www.fiverr.com/share/L47poA

Order your EXACT data matching services (offered on Fiverr) here: https://www.fiverr.com/share/xqRV31

If for any reason you prefer Upwork over Fiver, here is the alternative link: https://www.upwork.com/services/product/development-it-fuzzy-data-matching-cleansing-and-merging-of-spreadsheets-1314573433433919488?ref=fl_profile

Further Reading

Data Matching Service

Introduction To Fuzzy Data Matching

Data Matching Flow

Why to Choose QDeFuZZiner?

Managing QDeFuZZiner Projects
Importing Input Datasets into QDeFuZZiner
Managing QDeFuZZiner Solutions
Demo Fuzzy Match Projects

Get QDeFuZZiner Software

Purchase QDeFuZZiner License

 

Unlock the Power of Clean, Consolidated Data with Our Advanced Matching Solutions!

Are you frustrated when trying to match and merge two messy datasets? Are your customer lists cluttered with duplicates? Product catalogs inconsistent across systems? Real estate records fragmented and unreliable?

It's time to take control of your data with our cutting-edge fuzzy matching and entity resolution services!

Introducing our comprehensive suite of data management tools and services:

• Fuzzy Data Matching: Identify similar records even with typos, abbreviations, or formatting differences
• Data Merging: Consolidate information from multiple sources into a single, accurate dataset
• Entity Resolution: Link and deduplicate records to create a unified view of each unique entity
• Data Deduplication: Eliminate redundant entries while preserving critical information

Perfect for:
✓ Customer contact lists
✓ Real estate databases
✓ Product catalogs

Why choose our solutions?
• Advanced algorithms for unparalleled accuracy
• Customizable matching rules to fit your unique business needs
• Scalable from small datasets to big data applications
• User-friendly interface for easy implementation

Don't let messy data hold your business back. Streamline your operations, enhance decision-making, and unlock new insights with our powerful data matching and consolidation tool and services.

Ready to transform your data management? Contact us today for a free consultation!

#FuzzyMatching #RecordLinkage #DataDeduplication #DataManagement #DataMatching #Merge #Consolidate #DataCleansing #ETL #MDM #BigData #EntityResolution

Visit https://matasoft.hr/QTrendControl/index.php/data-matching-services

Further Reading

Data Matching Service

Introduction To Fuzzy Data Matching

Data Matching Flow

Why to Choose QDeFuZZiner?

Managing QDeFuZZiner Projects
Importing Input Datasets into QDeFuZZiner
Managing QDeFuZZiner Solutions
Demo Fuzzy Match Projects

Get QDeFuZZiner Software

Purchase QDeFuZZiner License

 

Fuzzy Data Matching Services

Do you need to link and merge two product catalogs,  real estate property lists, de-duplicate customer database or identify same companies accross two different data sources, but there is no unique identifier to distinguish entities unambigously?

We perform data matching, merging, cleansing, deduplication, consolidation and other data processing tasks on your business data, such as customer contact, real estate or product lists.

Introduction

Availability of a reliable master data for a supply chain can be crucial for success of a company. Supply chain performance is dependent on consistent definitions of customers, products, items, locations, and other master data objects. When data is poorly governed and inconsistent, supply chains become less competitive. Good data leads to efficient supply chains, allowing resources to be spent on innovation rather than on coping with problems.

However, business data is often messy, containing duplicate entries of same entities, missing information, having misspellings and various other errors. In many cases, there is no unique identifier which can be used to unambiguously identify an entity. When such data sources need to be linked or deduplicated solely based on string similarity, it is called fuzzy data matching.

Our fuzzy data matching services can help you to consolidate your product and customer master data, by identifying duplicate or linked records, even if lacking unique key identifier.

Our Data Matching Services

We perform record linkage & duplicate records identification in your datasets, based on approximate string similarity, i.e. fuzzy data matching. There are many business cases where record linkage has to be performed. Some typical examples are: merging or deduplication of product price lists, partner lists, book and movie catalogs, customer loyalty databases, medical records etc.

Our primary tool for entity resolution is in-house developed QDeFuZZiner software (QDeFuZZiner - Data Matching Software), which is capable to execute complex data matching and deduplication tasks, with various merging and consolidation options. It supports both exact and fuzzy data matching and is able to process huge files. Our data matching software quickly identifies duplicates from your datasets by finding similarities between data elements, such as names and addresses, enabling effective data cleansing. Our powerful fuzzy matching engine identifies linked or similar records that contain keyboard errors, missing words, extra words, nicknames, changed surnames, or multicultural name variations. 

Record Linkage - Link and merge related records

Record linkage is the process of bringing together two or more records relating to the same entity (e.g. person, company, product, movie, book, family, event, community, business, hospital, or geographical area).

We can identify and link together same entities, such as same customers or products, from two different datasets.

We can help you to merge and consolidate product and customer lists, from multiple sources.

Duplicate Records Identification - Identify duplicate records and deduplicate/consolidate your datasets

We can identify whether you have the same persons, companies or products registered multiple times in your datasets. 

We can help you to consolidate your product lists, customer lists or any other messy datasets, by identifying duplicate records and performin deduplication, with merging and consolidation of duplicate records.

Data Cleansing - Clean your messy datasets

We can perform data cleaning of your messy datasets, by reformatting columns, splitting, merging, enriching, merging, consolidating and deduplicating your data.

Entity Resolution - Consolidate your customers data

Within the financial, education, healthcare, government, retail, and marketing industries, customer data is vital to business success.
We can minimize duplicate customer data and accurately link each data record to one customer identity. 

Consolidation of Business Leads

You have purchased business leads or acquired leads list by performing web scraping, but now you have realized that there are many duplicate rows containing information about same persons.

Don't worry, we can de-duplicate your prospects and consolidate contact information coming from duplicate rows. Not only that your prospecting list will now contain only unique contacts, but we will enrich data by merging sparse information originating from duplicate rows!

You need to exclude contacts already present in your suppression list? No problem, we can do it to!

Large Datasets

Are you strugling with de-duplicating or matching & merging large files together?

We can de-duplicate, match, merge and combine large datasets, even if they are huge. By huge we mean big, really big datasets... We mean millions of rows!

Customer Reviews

Customer satisfaction is imperative to us. Check what our customers say about this fuzzy data matching services with QDeFuZZiner!

On Fiverr (preferred platform): https://www.fiverr.com/fuzzyzlatko

On Upwork: https://www.upwork.com/en-gb/freelancers/~0178c4462577eaf60d

Customers Review Summary (by Perplexity AI)

You can find summary of customer review, prepared by Perplexity AI, here:
Customer Reviews Summary

Contact

Be free to contact us with your business case and ask for our free analysis and consultancy, prior ordering our fuzzy data matching services.

Sales Contact

Order your FUZZY data matching services (offered on Fiverr) here: https://www.fiverr.com/share/L47poA

Order your EXACT data matching services (offered on Fiverr) here: https://www.fiverr.com/share/xqRV31

If for any reason you prefer Upwork over Fiver, here is the alternative link: https://www.upwork.com/services/product/development-it-fuzzy-data-matching-cleansing-and-merging-of-spreadsheets-1314573433433919488?ref=fl_profile

Further Reading

Introduction To Fuzzy Data Matching

Data Matching Flow

Why to Choose QDeFuZZiner?

Managing QDeFuZZiner Projects
Importing Input Datasets into QDeFuZZiner
Managing QDeFuZZiner Solutions
Demo Fuzzy Match Projects

Get QDeFuZZiner Software

Purchase QDeFuZZiner License