AIMLEAP - Outsource Bigdata
About AIMLEAP - Outsource Bigdata
AIMLEAP - Outsource Bigdata is an ISO 9001:2015 and ISO/IEC 27001:2013 certified global technology consulting and service provider offering Digital IT, AI Augmented Data Solutions, Automation and Research & Analytics Services.
With automation-first approach, our services include end-to-end IT application management, Mobile app Development, Data Management, Data Mining Services, Web Data Scraping, Self-serving BI reporting solutions, Digital Marketing, and Analytics solutions.
We started in 2012 and successfully delivered projects in IT & digital transformation, automation driven data solution and digital marketing for more than 700 fast-growing companies in the USA, Europe, New Zealand, Australia, Canada; and more.
- An ISO 9001:2015 and ISO/IEC 27001:2013 certified
- Served 700+ customers
- 10+ Years of industry experience
- 98% Client Retention
- Global Delivery Centers in the USA, Canada, India & Australia
Email: [email protected]
USA: 1-30235 14656 | Canada: +1 902 279 1797 | India: +91 810 527 1615 | Australia: +61 402 576 615
AIMLEAP - Outsource Bigdata is an ISO 9001:2015 and ISO/IEC 27001:2013 certified global technology consulting and service provider offering Digital IT, AI Augmented Data Solutions, Automation and Research & Analytics Services.
With automation-first approach, our services include end-to-end IT application management, Mobile app Development, Data Management, Data Mining Services, Web Data Scraping, Self-serving BI reporting solutions, Digital Marketing, and Analytics solutions.
We started in 2012 and successfully delivered projects in IT & digital transformation, automation driven data solution and digital marketing for more than 700 fast-growing companies in the USA, Europe, New Zealand, Australia, Canada; and more.
- An ISO 9001:2015 and ISO/IEC 27001:2013 certified
- Served 700+ customers
- 10+ Years of industry experience
- 98% Client Retention
- Global Delivery Centers in the USA, Canada, India & Australia
Email: [email protected]
USA: 1-30235 14656 | Canada: +1 902 279 1797 | India: +91 810 527 1615 | Australia: +61 402 576 615
Key Insights
Services & Focus
Industry Focus
Portfolio
Web Scraping BOTS & Automated Data Processing Increases Efficiency & Saves Cost
BACKGROUND
A leading realty aggregator company has been working with a US-based start-up company for their data solutions for about three years. The aggregator was in search of a new provider for their data solutions to save cost and increase efficiency and one of our clients referred the aggregator to AIMLEAP Outsource Big Data Automation.
APPROACH TO SOLUTION
AIMLEAP - Outsource Big Data built custom BOTS for web data scraping from 35 web sources in US and Canada. Automated the end-to-end process for the real estate aggregator company to synchronize s and harmonize its development and support processes towards the pursuit of operational, quality and governance excellence. The automated data processes helped the company to meet its operational scalability, time to market and increased customer experience.
HIGHLIGHTS
? Saved $60000 per year
? Reduced end-to-end data processing time by about 60%
? Set a process to scale up operations by 80%
Automation Trimmed Cost & Increased Operational Efficiency
BACKGROUND
A leading energy product data service provider company has been working with AIMLEAP for over 7 years in different data collection, data enrichment, and data enhancement projects. AIMLEAP was working more on their back-end data processing part. Their existing vendor for automation and further analytics solution was slightly expensive. Hence, an energy data services company with a broad vision for automation and analytics turns to AIMLEAP to reduce cost & increase efficiency.
APPROACH TO SOLUTION
AIMLEAP - Outsource Big Data developed a proof-of-concept for automation based on Robotic Process Automation. POC was well accepted and automation implemented to end-to-end project. Also, AIMLEAP deployed analytics professionals to replace the current analytics – model monitoring and support activity.
HIGHLIGHTS
? Saved $70000 per year
? Reduced end-to-end data processing time by 40%
? Increased ability to scale up the process for market expansion by 60%
Automation Lead New Process Lowers Operating Costs, Increases Efficiency & Data Quality, And Improves Speed To Market
BACKGROUND
A major real estate service provider company wanted to streamline its inefficient real estate agent-servicing process. The existing process required multiple data analysts, with help from the in-house IT support team, to manually collect data from 20+ different data sources. Data received from 20+ sources was the indifferent quality, format and had multiple other challenges. The internal IT support system was not robust and it further slowed the entire process.
Also, as it was a manual process - analysts were able to process only a limited number of records, based on priority, creating a backlog and struggled to serve their existing and new set of customers. The company approached AIMLEAP – Outsource Big Data help in streamlining its processes and providing end-to-end solutions.
APPROACH TO SOLUTION
We quickly developed a proof-of-concept for suggested a solution based on Robotic Process Automation to replace the company’s manual processes for collecting data from 20+ sources integrated into a base IT support system.
HIGHLIGHTS
? Saved $40000 per year.
? Increased data handling capacity by 60%
? Average data processing time reduced by 85%
? Increased ability to access data in real-time
Automated Web Data Scraping & Self- Serving Dashboard Trimmed Cost
BACKGROUND
An Equipment Leasing & Financing Company in Canada approached AIMLEAP for their end-to-end web data scraping, cleansing, formatting, and related IT solutions. The Company was in search of a competitive provider who has capability in automation and IT side to save cost and increase efficiency.
APPROACH TO SOLUTION
AIMLEAP - Outsource Big Data Team developed web data scraping automation system, data warehousing system, and Google map-based dashboarding with the intuitive user interface. Leveraging multiple components to process this data using UI Path, Google BigQuery, Google CloudBucket, Google Data Studio, Google Map API, and an HTML5 website to display results. The semi-automated processes helped the company to meet its operational scalability, time to market, and increased customer experience.
HIGHLIGHTS
? Automation saved overall cost about $60000 per year
? Reduced data processing time by about 60%
? Increased service levels improve customer experience & revenue
Legal Case Data Mining From Multiple Sources & Process Automation.
BACKGROUND
• A leading management consulting company based out of the USA wanted to collect US County-level legal cases data every month.
• It was manually mining data from multiple court websites and was looking for an optimized solution.
• For mining a single case, the customer had to visit multiple web pages and tabs. Approximately nine tabs for each case and each tab had its unique complexities and formats.
• Expected output was - a ready-to-upload excel file that supports creating their in-house database.
APPROACH TO SOLUTION
• AIMLEAP - Outsource Big Data Team built custom BOTS for web data scraping from multiple sources
• Only US IP (Internet Protocol) was able to load case data from the web source, hence we deployed US IP to access the data
• Scheduled monthly scraping process to scrap new cases added to the court websites
• Custom built web crawler was able to mine the legal case data in almost close to the template format provided by the customer and this reduced manual intervention substantially
HIGHLIGHTS
• Above 98% data quality consistently
• An approximate 75% cost saving
• Quick turnaround
Automated Data Integration Saved Cost & Increased Operational Scalability.
BACKGROUND
• Customer was looking for an integrated data solution by building a database of 1.2 million - laboratory equipment data from online and offline sources
• The multiple sources data did not have a uniform structure
• The lab products having a different format with 1.2 million rows and 900+ columns
• Customer wanted all products and related images to be downloaded and zipped into a single file, along with the link of the image in the output .csv file
• Customer was looking for an optimized solution for data collection
APPROACH TO SOLUTION
• AIMLEAP - Outsource Big Data Team developed web data scraping automation system and connected to internal data sources
• Custom web crawler was able to mine desired data points – instead of all dump data -- in the desired template by the customer. This reduced manual intervention substantially
• The semi-automated processes helped the company to increase its operational scalability, time to market, and increased customer experience.
HIGHLIGHTS
? Automation saved overall about $25000 per year
? About 50% efficiency gains
? Scalable and robust solution
Semi Automated IT Application Increases Employee Engagement
BACKGROUND
A leading management consulting company based out of the US wanted to develop an employee management application that includes:
• Employee data management
• Timesheet management
• Salary processing
• Invoice generation
Also, the consulting company was looking for a cost-effective enhancement, maintenance, administration, application support regularly.
APPROACH TO SOLUTION AIMLEAP -
Digital IT Team built a web application that manages
• Automated template-driven employee data management
• Time Sheet: One-click solution for entering daily timesheet • Salary data management: Automated salary data calculation and processing
• Invoice generation: Semi-automated invoice generation
HIGHLIGHTS
• Cost-saving – annual FTE reduction ~ 3
• Increased process efficiency 60%
• Increased employee engagement
Semi-Automated Image Data Processing & Process Streamlining
BACKGROUND
An AI solution focussed start-up company based out of UK wanted to develop an employee management application which includes:
Customer wanted 250 million specious images to be mined.
Customer had a list of 2.5 Million species scientific and generic names.
Customer was particular to collect 2.5 million species all in 10 HD (High Definition) images and sources suggested were Flickr/Instagram/Google.
Customer was looking for an optimized solution for image data collection and streamline the end-to-end process for the AI solution.
Also, start-up was looking for a cost-effective solution which can further periodically add to the AI system.
APPROACH TO SOLUTION
AIMLEAP Team automated the image sourcing process by building
A custom set of web crawlers built including paid Google API to mine image data.
The crawler that was able to mine required image data with minimal manual intervention.
Team performed semi-automated image data validation and
ensured that images are of expected quality.
Also, an automated process established to feed the final set of qualified images to push to customer database on a regular interval
HIGHLIGHTS
90 % cost saving
Above 95% quality assured
Quick Turn Around – delivered 250 million images in 60businesd days
AI-Augmented Data Processing Saves Cost, Increases Accuracy & Operational Efficiency
BACKGROUND
A US-based fintech start-up wanted to build a big data analytics
solution; and was looking for a suitable partner.
Start-up was looking for an optimized solution to source 10-year
financial data for 500 companies
The data expected in a custom grid format to feed the analytics
engine
AIMLEAP APPROACH TO SOLUTION
AIMLEAP - Outsourcebigdata Automation Team leveraged AI-driven data solution to
build a semi-automated process to convert source data
AI solution was trained to identify data points that needed
manual intervention
The AI solution was able to source and convert financial data with
minimal manual intervention
Automated data validation process assured that all data points are
of expected quality
Also, an automated process established to feed the final set of
data to push to customer database on a regular interval
HIGHLIGHTS
60% cost saving
99% data quality
Quick turnaround helped faster Go-To-Market
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3023514656