Uniquesdata

Client Introduction

• The client has a software company with a platform for users to evaluate and compare pay structures and policies of different multinational companies (MNCs).
• Their goal is to provide valuable insights to users by analyzing executive compensation data from annual reports.

Requirements & Specifications

• The client requires research and analysis of MNCs’ management/executive pay structures.
• Data points include annual compensation, plan-based awards, outstanding awards, pension details, pay ratios, and awards policies.

Solutions

• We collected data from MNCs’ annual reports, focusing on executive compensation.
• Excel file data was uploaded in the backend for further analysis.

Process

Data Collection:

• Extracted relevant information from annual reports.
• Organized data into a structured format.

Categorization and Comparison:

• Categorized data by company, incentive type, and award classification.
• Comparison of pay structures across companies.

Visual Representation:

• Created charts and graphs to represent pay components.
• Used tables for detailed comparisons.

Challenges Faced & Solved

Data Complexity:

• Some data points were intricate (e.g., vesting schedules, performance indicators).
• Solution: Developed clear definitions and explanations for each data category.

Data Consistency:

• Different reporting formats across MNCs.
• Solution: Standardized and structured data for accurate comparisons.

Work Volume, Quality, Accuracy, and Turnaround

Work Volume:

• Analyzed data from multiple MNCs.
• Ensured comprehensive coverage.

Quality and Accuracy:

• Rigorous validation and cross-checking.
• Minimized errors.

Turnaround Time:

• Efficient data processing.
• Met project deadlines.

Conclusion

• Our research provides valuable insights into MNCs’ executive pay structures.
• Users can now evaluate and compare compensation policies effectively.
• The software platform enhances transparency and informed decision-making.

Client Introduction

Our client aim is to provide valuable insights to shareholders or investors by analyzing proxy statements.

Requirements & Specifications

• The client requires data collection and organization related to proxy disclosures.
• Key areas of interest:
  • Annual General Meetings
  • Proposals
  • Voting Results

Solutions

We developed a systematic approach to handle proxy disclosures:

• Data Collection:
  • Gathered proxy statements from various companies.
  • Extracted relevant information related to Voting.
• Data Organization:
  • Organized and structured the data into a centralized database.
  • Created categories for easy reference.

Process

Data Collection and Extraction:

• Extracted relevant sections from proxy statements.
• Focused on accuracy and completeness.

Categorization and Analysis:

• Categorized data by company, year, and disclosure type.
• Analyzed trends in shareholder voting patterns.

Challenges Faced & Solved:

• Different formats and disclosure practices.
• Solution: Standardized data fields for consistency.

Quality Assurance and Accuracy:

• Rigorous validation checks.
• Ensured accurate representation of proxy data.

Work Volume, Quality, Accuracy, and Turnaround

Work Volume:

• Analyzed proxy statements from a diverse set of companies.
• Covered multiple years.

Quality and Accuracy:

• High-quality data ensured reliable insights.
• Regular audits-maintained accuracy.

Turnaround Time:

• Efficient data processing.
• Met reporting deadlines.

Conclusion

• Our Proxy Disclosure Analysis project provides valuable information to investors/shareholders, enabling informed decision-making.
• Users can easily evaluate corporate governance practices.
• The software platform enhances transparency and accountability.

Client Introduction

• Our client has a financial research firm specializing in equity market analysis.
• They seek to understand beneficial ownership patterns within companies.

Requirements & Specifications

• The client’s goal is to collect data related to stock ownership.
• Key areas of interest:
  • Beneficial ownership details
  • Stock types (common, preferred, etc.)

Solutions

We devised a systematic approach to address the client’s requirements:

• Data Collection:
  • Gathered information from company filings, shareholder reports, and regulatory filings.
  • Focused on beneficial owners and their holdings.
• Data Categorization:
  • Organized data by company, stock type, and ownership percentage.

Process

Data Collection and Extraction:

• Extracted relevant sections related to stock ownership.
• Ensured accuracy and completeness.

Categorization and Analysis:

• Categorized data into structured and preferred stock.
• Calculated ownership percentages for each beneficial owner.
• Identified major shareholders and institutional investors.

Challenges Faced & Solved:

• Data Variability:
  • Different reporting formats across companies.
  • Solution: Developed standardized and uniform templates for consistent data extraction.
• Ownership Complexity:
  • Multiple classes of stock (common, preferred, etc.).
  • Solution: Clearly defined stock type categories.

Quality Assurance and Accuracy:

• Rigorous validation checks.
• Verified data against official filings.

Work Volume, Quality, Accuracy, and Turnaround

Work Volume:

• Analyzed equity patterns across various companies.
• Covered multiple reporting periods.

Quality and Accuracy:

• High-quality data ensured reliable insights.
• Regular audits-maintained accuracy.

Turnaround Time:

• Efficient data processing.
• Met project deadlines.

Conclusion

• Our Equity Pattern Analysis provides valuable information for investors, regulators, and corporate governance.
• Users can now assess stock ownership distribution and make informed decisions.
• Transparency in equity patterns enhances market understanding.

Client Introduction

The client is a well-known news portal in India, established by alumni of IIT, IIM and Ivy League Institutions. Being the leading news portal of the country, it aims to provide crisp, concise and interesting news that appeals to everyone who reads it.

Requirements & Specifications

The client needed Product data uploading services for 3000 products on their platform. The client requested auto-filling through a designated URL with the validation of 70¸ data while 30¸ of data was required to be searched from the product site and added/edited on their portal. The client was looking for a
data outsourcing partner who can understand that,

• Accuracy of information is paramount
• Agility in uploading of data is expected

Solutions

Keeping the client requirement in mind, we assigned the most experienced 7 product data uploading experts to the project along with 5 quality control analysts, a team leader and a project coordinator. The team was equipped with eCommerce experts who were capable of handling massive work volumes. Following the guidelines given by the client, the team began searching and carefully inputting the data into the client’s data dashboard.

Process

• Our experts log into the client s online portal using the provided credentials
• The experts searched for the given products on both the official product website and other verified websites that offer comprehensive and up-to-date product information
• The experts compare the data on both websites and start the product data uploading procedure of each product with multiple requirements
• While the data about other product features can be found from the official websites, the product price search is conducted independently by the eCommerce experts. Once verified the price gets filled into the data dashboard
• As the product uploading procedures gets concluded, the quality analysts check each entry for flawless output

Challenges faced & solved

• Sometimes it is difficult to find all the details of the product on the client mentioned on the website
• Our experts also did a bit of data mining to get all the information right and lived up to the client’s expectations

Work volume, quality, accuracy and turnaround

To provide an accurate outcome as quickly as expected, we provided the client with the 3000 products within the decided timeframe. With proper quality checks, we were able to maintain a 100 accuracy level.

Conclusion

• The client got a secured and updated dataset they always wanted
• The data delivered by us supported the content development engine that powered the content creation through AI
• An extremely happy and satisfied client is now in talks with us to give two more product data uploading projects

Client Introduction

Based in England, the client is an online business information provider helping various organisations, multinationals and establishments to search & find the key company details they need.

Requirements and Specifications

The client needed to populate and constantly update the portal with the listings of the private limited companies in England, Wales, Scotland or Northern Ireland. The data had to be searched, verified from the web sources & required to be entered into the client portal. Details about the companies, having more than 10 years of working history, need to be filled into the portal. The client also required data cleansing and the complete removal of non-relevant or inactive companies. While looking for an offshore data management partner, the client put forth the following requisites.

• Cost-effectiveness
• Complete accuracy
• Strict adherence to deadlines
• Ability to handle a massive work volume

Teams assigned

There was a fundamental need for professionals adept at entering company details as there was no room for errors and inefficiency. We assigned 3 research experts, one business data entry expert, one quality control analyst, and a project coordinator to work on this project full-time, with a delivery output (both post codes and business data entry) of 5,000 per day.

Process

• We receive the list of postcodes and a list of company names in the form of CSV file which we convert into excel format
• From the given postcodes list, our experts begin the search for company address, company location, town, county and country
• From a link provided by the client, we gather the data of directors (contact details, company joining & exiting details etc) along with the total number of employees
• The experts carefully compile all the data and logs into the client s online portal using the provided credentials
• The experts then upload the data (Company location, company address, company directors, directors contact details, number of employees, SIC description, SIC code, incorporation date, company registration number, town, county, country) of each business in the client portal, which was supervised by a quality control analyst
• We maintained the agreed-upon deadline in both postcode search and business data entry procedures. The daily volume of postcode search was 5000+ every day by each expert (three in total) and the daily volume of business data entry was 5000+ every day by one designated expert
• We communicated with the client every day with a precise project status to keep them informed about the delivery status and progress

Challenges Faced

• The client expected us to complete the humongous work volume quickly while maintaining 99% accuracy
• To complete the project on time, the team extended the working hours to meet the client deadlines as promised

Work volume, Quality, Accuracy & Turnaround

Each expert was responsible for delivering 5000 entries in a day. With 3 agile and experienced professionals working on the project, we were able to submit 15,000 entries in a day. Eventually, we accomplished the target of 15,00,000 entries. We maintained 99% accuracy as expected by the client.

Conclusion

The client was extremely delighted to have the expected and satisfying output as required and has also outsourced their data management projects to us. Work quality, accuracy, strict adherence to the timelines, and cost-effectiveness were the factors that amazed our client the most.

Client Introduction

The client provides forensic genealogy search services to legal and trust professionals to meet their fiduciary responsibilities in matters of state, trust, notice, and property. The client provides legal solutions to some of the largest probate and estate planning law firms, financial institutions, private companies and governmental agencies in North America.

Requirements & Specifications

The client depends majorly on their sales team to reach out to the target market. The team can do the job more effectively if they have an online database on hand. The data has to be properly gathered, verified and entered into CRM software. Hence client needed an offshore data management partner who can provide data collection services and lead generation services.

Teams assigned

Seeing the intricacy of the project, we made sure we train our resources to provide a satisfying outcome. We trained and assigned 5 data experts along with one project coordinator for the project.

Process

Long Notice Generation

• The experts access the client provided link and begin a keyword search to find and download the required legal notices that provides complete details of the lawyers.
• Using the keyword, the experts begin to locate the attorney on the CRM software. If the keyword is unable to find the required details, then the search begins by the attorney name.
• After finding the lawyer details, the details are checked and verified.
• After verification, the lead generation begins. Verified attorney details are added to the software.

Generation of Notice with Lead

• From the link provided by the client, the experts get access to all the legal notices.
• A specific search is conducted using keywords such as Probate, Estate of, and Notice to Creditor.
• Using the keyword Estate of, the experts perform attorney research in the CRM software
• If the experts find the attorney in the software, then lead generation is not required. However, if the details aren t found then the experts begin the lead generation process.
• For lead generation, the experts begin web research using the lawyer s name. Once the lawyer is located and the details are verified, the experts begin to fill in the details such as name, suffix, professional position (working for a company or an independent lawyer), contact details and address. The experts verify the details in the software.
• There isn’t a mention of quality checks as the client was able to check the details and project development online.

Work volume, Quality, Accuracy & Turnaround

With a daily output of 800+ records, we have delivered 11,00,000 records and 1,00,000+ leads while maintaining 100% accuracy.

Conclusion

Our goal was to provide the best, most cost effective and accurate solutions while maintaining the highest quality level. We did just that and as a result, we developed a long term relationship with the client.

Client Introduction

The client is an innovative and cutting edge staffing software company having a unique platform that’s powering businesses in over 14 countries with over 42,000 users. Aiming to be an IT tech partner for the entire staffing industry, the client primarily focuses on staffing, secondment and facilities.

Requirements & Specifications

Due to the nature of the platform, having an updated online database of the entire recruitment sector was crucial for the client. From LinkedIn, they needed a thorough data mining of the staffing or recruitment services organisations in UK. The requirements are

• Comprehensive data mining for highly skilled senior management positions such as CEO, CTO, CFO, COO, president, operations head and so on.
• Types of employment permanent, temporary, contract basis or executive search
• Listings of the companies with more than or equal to 50 employees

Team assigned

We assigned 3 data mining experts, with a project coordinator to work on this project.

Process

• The client sends us the raw company data of different European countries.
• the company data gets added to the CRM software using a LinkedIn integration tool.
• The companies are checked whether they meet client requirements (number of employees, types of employment5. If a company lacks any of the required details, it doesn t get added to the software.
• Once the company data is added to the CRM software, we find the vacancy pages along with their potential users in the CRM software using a particular string given by the client.
• After adding the details, the search begins on LinkedIn and CRM software using a LinkedIn integration tool. The search commences for highly skilled senior management positions such as CEO, CTO, CFO, COO, president, and operations head.
• Using a data enrichment tool, the experts search and find at least 3 contacts & their details for each company.
• The tools that were used in the process were purchased by the client and the team were given access to it.

Challenges Faced

• Searching for a company was a challenge as the company presence would be there on LinkedIn but, not on the web. So, we did an extensive google search to find the company presence on third party portals. This process would lead us to find different companies having a similar name. Due to such complications, the experts spent at least half & an hour finding the right company.
• Some of the company websites wouldn’t have a vacancy page. At this point, the client was informed promptly and depending on the client s response, the experts add or remove the company from CRM software.
• Not all the contact details are available on LinkedIn. Sometimes details on LinkedIn and website contradicts. So, we suggested a solution If we are unable to have the contact details of senior level management, we try to find the contact details of middle level management. (If the company president s Number-Email ID isn’t found then we search for the contact details of the CEO/operations head5. Using that data, the client gets access to the contact details of senior level management.
• While the client asked for 3 contacts per company, we provided at least 12 to 14 contacts per company.

Points worth citing

You might have noticed no mention of quality checks as that was done by the client. The client was able to see the daily project progress online. He checked each detail and was extremely happy with the outcome. So, as per the client, the accuracy level was 100%.

Work volume, Quality, Accuracy & Turnaround-

From 5184 companies, we have successfully added 2199 contacts of 733 companies to the CRM software. We are pleased to say that we maintained a supreme global level quality adhering to the deadlines set by the client.

Conclusion

• The client was overwhelmed with happiness seeing our quality, accuracy and cost effectiveness.
• The client didn’t just extend the project with us but we are now entrusted with even more responsibilities than before.
• Initially, the project remained limited to one country. After the success of the first project, today, it got extended to, adding company details of 16 countries namely, Belgium, Germany, Austria, Switzerland, Netherlands, Sweden, France, Ireland, Poland, Spain, Norway, Luxemburg, Italy and Denmark (till December5. The client also added USA and Finland to the list recently.

Client Introduction

Aiming to shape a better-informed world, the client is a news and text analytics firm that helps global finance professionals to monitor large portfolios and spot warning signs that might pose a potential risk or present opportunities that facilitate their investment decisions. Tapping into more than 3M global internet sources across 12 languages, the client creates actionable insights for asset managers, banks, pension funds, payments service providers, and corporate globally.

Requirements & Specifications

The client required Data Analysis and Categorization of various news articles. For this, they wanted data analysis outsourcing partner that can quickly do article data analysis and provide an accurate outcome as quickly as possible.

News Articles and Company Information Articles Analysis & Categorization

The client required Data Analysis and Categorization of various news articles. For this, they wanted data analysis outsourcing partner that can quickly do article data analysis and provide an accurate outcome as quickly as possible.

Teams assigned

Since the client was quite particular about the work accuracy and fast delivery, we formed a team of 9 analysis and categorization experts, along with a team leader and project coordinator.

Process

• The client shares the list of companies and news articles links through a google spreadsheet.
• Using the article link, the experts give the articles a thorough read for proper analysis and categorization.
• The articles are authenticated and corrected regarding headquarters corporate links, Wikipedia page, alternative names, abbreviation, disambiguation (if theres a
• same company under similar name). If the articles aren t relevant, then the google spreadsheet is updated accordingly.
• The google spreadsheet was supervised by a quality analyst and the client simultaneously. If client spots an error or suggest a change, it is rectified on the spot.

Challenges

• We had a team of adaptable experts who could handle pressure along with massive workvolume and extremely shorter turnaround times. The team extended working hours, worked on weekends to provide the satisfying outcome.
• Often the number of articles ranged from 1000 to 5000 articles and the client will request the categorisation to be done within a really short turnaround time. we have also delivered 10 to 12,000 articles categorisation within 72 hours.
• The categorisation was bit of a challenge as the one article could be categorised under various categories which made it difficult to list it under one single category.

Work volume, Quality, Accuracy,flexibility & Turnaround

The experts have delivered the categorisation of 24,000 articles (News articles) and 3,000 articles (Company information) so far. Our estimated accuracy level was 98%. We ve submitted the work within client determined deadlines.

Conclusion

The project demonstrated our skill in executing intense and complex project requests. We were also able to showcase the skills in handling large volume assignments within a quick turnaround time. We secured another partnership with a valued client and was happy to showcase our data analysis skills on a unique project.

Client Introduction

Our client is the professor of the Economics Department of a prestigious university based in Sweden. Having command over the topics like Political Economics, Public Finance, Law and Economics, the client has been an assistant professor and a visiting scholar at top-ranking universities across the globe.

Requirements & Specifications

The client needed the proper digitisation of age-old criminal record images from 1915 to 1940. About 200.000 documents (images) were supposed to convert into excel format, each with multiple data entry requirements. The client was looking for a data outsourcing partner who could work carefully and skilfully on faded old images.

Solutions,Teams & the Project Beginning

• 7 image data entry experts were assigned to the project along with 4 quality control leads, a team leader and a project coordinator. The team owned excellent image data entry skills and is capable of handling large volumes.
• The team began carefully inputting the data into excel format exactly as the client preferred.
• However, manual data input in a complex excel sheet slowed down the daily data entry and subsequently quality check procedures.
• To remove this block and to provide quick output to the client, we suggested using specially designed and developed software for a perfect data entry process.
• Happily agreeing to this, the client recommended a few changes which we incorporated into the software. The software made the entire process easier, quicker and more accurate than we anticipated.

Process

• Through a secured FTP transfer, we receive the image files from a client in JPEG format. The files are uploaded into the software.
• Using the software, Experts input the data from the image in rows and columns as specified.
• The data entry occurs twice by two experts and then sent to the quality analysts to ensure complete accuracy.
• The final output gets converted to excel format (exactly as the client needs) and handed over to the client.

Challenges faced & solved

• The documents were in the Swedish language. Our experts carefully understood the instructions given by the client to provide a flawless output.
• The documents (images) were really old. Some of them were faded, torn and unclear. The experts followed the client s template and input the data in a spreadsheet.

Work volume, quality, accuracy and turnaround

Aiming for a satisfactory and helpful outcome, we provided image data entry services for 2,05,917 images as expected by the client. With proper quality checks, we maintained a 98-99% accuracy level.

Conclusion

The client was thoroughly satisfied with the outcome delivered by us. The digitised data is now easily available and will be used in a project that evaluates reforms within the police and judicial authorities.
Seeing the exceptional involvement of the team with accuracy and quick delivery, the client has not just continued the project with us but also has decided to outsource various other projects in future.

Client Introduction

Based in Paris, our client is a well-known global IT startup. With 110 employees, our client digitalis’s retail execution and merchandising for manufacturers and retailers globally. Their AIbased solutions are helping many multinationals across the globe. The client needed Image Annotation (Product recognition services) to support their Artificial Intelligence-based solutions.

Requirements & Specifications

As the client aims to digitalise retail performance and merchandising, they required accurate and customised image annotation services (product recognition services) that can instantly analyze and recognize millions of products and provide quick useful retail insights for efficient retail management of various supermarkets, stores and malls. The client needed a five steps image annotation/product recognition process that included actions like facing, labelling, recopy, pricing, rearranging and verification of each image. For this, the client required a data entry outsourcing partner who could provide Image annotation services (product recognition services) for a massive image volume accurately, without sacrificing quality.

Solutions

After the completion of formalities such as SLA & NDAs- the work began as the client anticipated. We developed a training module in which our in-house
trainer guided our image annotation/ product recognition experts regarding specific client requirements to ensure smooth and successful project execution.

Teams, project Coordinators, Team Leaders, QC Experts Assigned and the Project Begins

A team of 125 image annotation (product recognition) experts were assigned to the project along with five team leaders, one project coordinator and one quality control lead. The team owned excellent image annotation (product recognition) skills and was capable of handling large volumes of projects.

Process

• We began by accessing the image database in the client portal.
• Each image was recognized and boxes were created around the images.
• Every product was properly annotated (with tags and keywords)
• Quality checks were conducted on all images. As the output match the quality standards, it was handed over to the client.

Challenges faced by us

• The complete process of facing, labelling, recopy, pricing, rearranging and verification of each image must be concluded within 5 minutes.
• Given the strict deadline, conducting the procedure on 15,000 to 20,000 images required accurate quality checks, long working hours and strict time management.
• The project required significant attention to detail. However, we ensured that we lived up to the client’s expectations and provided them with accurate data.

Work volume, quality, accuracy & turnaround from our end

Aiming for a satisfactory and useful outcome, we accommodated the client’s requirements by extending our working hours. Daily we provided Image annotation (Product recognition services) of 15,000 to 20,000 images as expected by the client. With proper quality checks, we maintained a 99% accuracy level.

Conclusion

Complete client satisfaction, leading to the establishment of a long-term relationship: the initial 3-month contract has now been extended to a continuous working relationship and outsourcing of more projects. A happy client is our true gain here. The project went on to become a long-term relationship. The initial 3-month contract extended to steady working relationships, outsourcing of more projects and on boarding of more than 100 experts.

Client Introduction

Our client is a global investment management firm specializing in direct investments for private investors. Based in Geneva and having a presence in London, Hong Kong, New York, and Cairo, the client helps the investors to create customized investment programs that meet specific criteria and objectives, adjusting to the investor needs.

Requirements & Specifications

Having presence in the major global cities, and yet expanding the base quickly across the globe, the client aims to maintain the status quo for a foreseeable future. The company wanted to evaluate its current top leadership through accurate employee appraisal. After having the various assessment forms filled up by the team, the client needed a detailed, accurate and well presented data analysis reports for more effective operational processes and sound business growth. For this, they wanted a data management partner that can quickly do employee data analysis and provide annual statistics and particulars as quickly as possible.

Team assigned

For the project, we assigned 2 experienced data analysts along with a project coordinator.

Process

• We receive individual and corporate assessment forms from the client. For the proper data analysis, the data gets converted into a clear word file.
• The assessment forms have different types of questions. A few of them required written responses and, multiple choice tables required the candidate to choose one answer from the given options.
• The experts properly edit, correct and format the written responses while multiple choice tables were transformed into a bubble chart.
• In the multiple choice tables, each answer was given a particular rating. After receiving the client approval on the ratings, the excel formulas (based on the ratings) were manually created by the experts. The formulas help the experts to generate a bubble chart of the answers. In the bubble chart, the data points are replaced with bubbles, and an additional dimension of the data is represented in the size of the bubbles.
• The data is then sent to the quality analysts to ensure a satisfying quality and complete accuracy.
• The final output was emailed in the client preferred format. (Word or a PDF).

Work volume, quality, accuracy & turnaround

Our experts delivered an employee appraisal analysis of 40 employees within 3 days. We were able to maintain a 100% accuracy level.

Challenges faced

• Providing the best, most precise & satisfactory outcome within a very strict deadline put pressure on the team.
• The assessment forms were based on factors including employee views on company culture, recommendations on training, tools, technology, their likes dislikes, accomplishments, preferences, skill utilisation, factors that can encourage a better working environment, teamwork, job satisfaction and so on.
• Thoroughly analysing each of those factors and providing a detailed report of 40 employees within 3 days was a challenge. However, it gives us satisfaction to say that we were able to accomplish the task within the given deadline.

Conclusion

• The client was satisfied with our ability to provide detailed data analysis within the deadline without jeopardising the quality.
• Our data analysis solutions helped the client to identify the factors that were improving the business growth and the ones delaying it.

Client Introduction

The client is a leading data management firm based in Korea, providing records management solutions to various industries across the globe.

Requirements & Specifications

The client was looking for a reliable OCR services provider who could help them with the conversion of old, blurry and unclear newspaper clippings into properly readable and searchable PDFs. Since there was a huge file volume that had to be converted, the client was looking for an efficient yet cost-effective data outsourcing partner.

Solutions, teams & project beginning

For the project, we formed a team of 50 data conversion experts along with 15 quality control analysts, a team leader and a project coordinator. As there was a huge volume of news clippings required to be transformed into readable and searchable PDFs, we made sure that the team was equipped with fast, experienced and skilled data conversion experts, capable of managing immense work volumes.

Process

• Through a secured FTP transfer, we receive the scanned newspaper clippings from the client in PDF format.
• Each copy is then moved into an OCR Software.
• Using the software, the experts check, edit & correct each file for grammatical errors, text placements, paragraph positioning and any other imperfections.
• The prepared file is handed over to the quality control analysts for quality checks. Once approved the final copy is turned into a PDF file.
• Once the conversion is completed for all the files, the final PDF files are sent to the client through a secured FTP server.

Challenges faced

Since the newspapers clippings were old, a lot of them were blurry and unclear. Carefully correcting and editing all of them was a bit of a challenge for the team.

Work volume, quality, accuracy and turnaround

As fast as expected, our experts delivered 1,33,845 PDF files to the client within two months. With proper quality checks, we were able to maintain a 99% accuracy level.

Conclusion

Regardless of the work volume, not a single delivery timeline was missed from our end. The client was satisfied by the work quality and the proper communication from us throughout the project.

Project Summary

Uniquesdata was hired by a commercial property company to reformat a poorly-formatted commercial lease contract. They provided a service that sorted out the contract's formatting and made it easily operable.

The Challenge

• Reformat a poorly formatted contract.

Describe the scope of work in detail.

We had a commercial lease that needed amendment, but the formatting was very poor and made amendment difficult or impossible. Uniquesdata, through their eDataMine service, did an excellent job—in just a couple of hours—of sorting out the formatting so as to make it easily operable. Highly recommended!

The Outcome

• What were the measurable outcomes from the project that demonstrate progress or success?

The reformatted document was easy to amend without the formatting going out.

• Describe their project management. Did they deliver items on time? How did they respond to your needs?

They were extremely timely.

• What was your primary form of communication with Uniquesdata?

Virtual Meeting

• What did you find most impressive or unique about this company?

Their timeliness and courtesy were appreciated.

• Are there any areas for improvement or something Uniquesdata could have done differently?

None I am aware of

Conclusion

Uniquesdata delivered a reformatted document that was easy to amend, meeting expectations. Hey, worked efficiently to ensure a productive workflow. Above all, the client praised the team's quick turnaround time, courtesy, and professionalism.

Project Summary:
A software company hired Uniquesdata to handle data analysis, market research, and CRM management, including running marketing campaigns and managing their CRM system.

The Challenge:

• Data Analysis
• CRM Management

Scope of Work:
Uniquesdata provided top-notch data analysis, CRM management, and market research services at cost-effective prices.

The Outcome:

• Measurable Outcomes: Over two years, Uniquesdata significantly aided in running marketing campaigns and managing the CRM system, helping the client gain new business and expand their customer base. The client highly recommends Uniquesdata for reliable data entry and CRM management services.
• Project Management: Uniquesdata's project management is excellent. They deliver on time, meet deadlines, and communicate regularly, updating the client on progress. They respond promptly and efficiently, displaying flexibility and professionalism.
• Communication:
  • Virtual Meetings
  • Email or Messaging Apps

Impressive Aspects:
Uniquesdata's ability to handle large volumes of data entry and CRM management with high accuracy and speed is impressive. They use advanced tools to ensure data quality and security, offering customized solutions that suit specific needs and budgets. Their responsiveness and exceptional results make them a true partner in success.

Areas for Improvement:
The client found no major areas for improvement. Uniquesdata was professional, efficient, and exceeded expectations. They were transparent, honest, and accommodating of feedback, making them a pleasure to work with.

Conclusion:
Uniquesdata helped the client gain new business and grow their customer base. As a reliable partner, they consistently meet deadlines, communicate clearly, and provide frequent updates. Their proactivity, professionalism, and adaptability stand out.

Project Summary:

Uniquesdata provided staff augmentation services to a branding agency, supplying a designer and a developer. They assisted with graphic design, branding, and web and WordPress development.

The Challenge:

• Dedicated Developer
• Dedicated Designer

Scope of Work:

Uniquesdata worked on multiple projects simultaneously, including branding, graphic design, web development, WordPress, and website management.

The Outcome:

• Measurable Outcomes: Success was measured by the completion of projects, websites, and designs, all receiving internal and client approvals.
• Project Management: Project management was excellent. The team at Uniquesdata consistently checked in, performed tasks, and provided detailed reports upon completion.
• Communication:
  • Virtual Meetings
  • Email or Messaging Apps

Impressive Aspects:

Working with Uniquesdata was delightful. From concept to execution, their expertise and dedication were evident. The team excelled in custom tool development and dedicated development services. Their communication and professionalism were outstanding, making them a valuable partner. Future plans include utilizing their design services and virtual assistants.

Areas for Improvement:

While always room for improvement in design, the ongoing collaboration is expected to enhance design quality further.

Conclusion:

Thanks to Uniquesdata, the client consistently completed projects with internal and client approvals. Uniquesdata's exceptional project management, detailed reporting, expertise, dedication, and professionalism were highly commendable.