Aimleap - Outsource Bigdata

BACKGROUNDA leading energy product data service provider company has beenworking with AIMLEAP for over 7 years in different data collection, dataenrichment, and data enhancement projects. AIMLEAP was workingmore on their back-end data processing part.Their existing vendor for automation and further analytics solution wasslightly expensive. Hence, energy data services company with a broadvision for automation and analytics turns to AIMLEAP to reduce cost &increase efficiency.APPROACH TO SOLUTIONAIMLEAP - Outsource Big Data developed a proof-of-concept forautomation based on Robotic Process Automation. POC was wellaccepted and automation implemented in the end-to-end project. Also,AIMLEAP deployed analytics professionals to replace the currentanalytics – 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% Read More

BACKGROUNDA major real estate service provider company wanted to streamline itsinefficient real estate agent-servicing process. The existing processrequired multiple data analysts, with help from the in-house IT supportteam, to manually collect data from 20+ different data sources. Datareceived from 20+ sources was the indifferent quality, format and hadmultiple other challenges. The internal IT support system was not robust andit further slowed the entire process.Also, as it was a manual process - analysts were able to process only aa limited number of records, based on priority, creating backlog andstruggled to serve their existing and new set of customers. The companyapproached AIMLEAP – Outsource Big Data help in streamlining itsprocesses and providing end-to-end solutions.APPROACH TO SOLUTIONWe quickly developed a proof-of-concept for suggested a solutionbased on Robotic Process Automation to replace the company’smanual processes for collecting data from 20+ sources integrated to abase 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 Read More

BACKGROUNDAn 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 SOLUTIONAIMLEAP - 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 Read More

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 substantiallyHIGHLIGHTS• Above 98% data quality consistently• An approximate 75% cost saving• Quick turnaround Read More

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 collectionAPPROACH 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 Read More

BACKGROUNDA leading management consulting company based out of US wanted todevelop an employee management application which includes:- Employee data management- Timesheet management- Salary processing- Invoice generationAlso, the consulting company was looking for a cost-effective enhancement,maintenance, administration, support for application on a regular basis.APPROACH TO SOLUTION AIMLEAP - Digital IT Team built a web application which 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 generationHIGHLIGHTS• Cost-saving – annual FTE reduction ~ 3 • Increased process efficiency 60% •Increased employee engagement Read More

BACKGROUNDAn AI solution focussed start-up company based out of the UK wanted to develop an employee management application that includes:The customer wanted 250 million specious images to be mined.The customer had a list of 2.5 Million species scientific and generic names.The customer was particular to collect 2.5 million species all in 10 HD (High Definition) images and sources suggested were Flickr/Instagram/Google.The customer was looking for an optimized solution for image data collection and streamline the end-to-end process for the AI solution.Also, the start-up was looking for a cost-effective solution that can further periodically add to the AI system.APPROACH TO SOLUTIONAIMLEAP - Outsource Bigdata Team automated the image sourcing process by buildingA 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.The team performed semi-automated image data validation andensured that images are of expected quality.Also, an automated process established to feed the final set of qualified images to push to the customer database at a regular intervalHIGHLIGHTS90 % cost savingAbove 95% quality assuredQuick Turn Around – delivered 250 million images in 60businesd days Read More

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 Read More