AIMLEAP - Outsource Bigdata

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 in different quality, format and had multiple other challenges. 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 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 solution.

Properties are made available in near real time after they appear on the source websites and detects inactive listing faster.

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 to a base IT support system.

Increased data handling capacity by 60%
Average data processing time reduced by 85%Increased ability to access data in real-time

BACKGROUND

A leading energy product data service provider company has been working with AIMLEAP for above 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 projects. Also, AIMLEAP deployed analytics professionals to replace the current analytics – model monitoring and support activity.

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%

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.

Saved $40000 per year
Increased data handling capacity by 60%

Average data processing time reduced by 85%

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 in order to save cost and increase efficiency.

Web data scraping automation, data warehousing system and Google map based self-serving dashboard with intuitive user interface

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.

Automation saved overall cost about $60000 per year
Reduced data processing time by about 60%

Increased service levels improve customer experience & revenue.

BACKGROUND

• The customer was looking for an integrated data solution by building a database of 1.2 million – laboratory equipments 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

• The customer wanted all products and related images to be downloaded and zipped into a single file, along with the link of image in output .csv file

• The customer was looking for an optimized solution for data collection

1.2 Million lab equipment’s data integration saved $25000 per year & Increased operational efficiency.

APPROACH TO SOLUTION

• AIMLEAP – Outsource Big Data Team developed web data scraping automation system and connected to internal data sources

• The semi-automated processes helped the company to increase its operational scalability, time to market and increased customer experience.

Automation saved overall about $25000 per year
About 50% efficiency gains

Scalable and robust solution

Process automation & web data mining - reduced substantial time & cost.

Background:

• A leading management consulting company based out of the USA wanted to collect US County-level legal cases data on a monthly basis.
• It was manually mining data from multiple court websites and was looking for an optimized solution.
• For mining a single case, customers had to visit multiple web pages and tabs. Approximately nine tabs for each case and each tab had its own unique complexities and formats.
• The expected output was – a ready-to-upload excel file that supports to create of 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

Above 98% data quality consistently
An approximate 75% cost saving
Quick turnaround

AI-driven automation helps fintech start-up to save go-to-market time & saves substantial cost

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

APPROACH TO SOLUTION

• AIMLEAP Automation Team leveraged an 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 the expected quality
• Also, an automated process established to feed the final set of data to push to the customer database at a regular interval

60% cost saving
99% data quality
Faster Go-To-Market

BACKGROUND

A leading management consulting company based out of the US wanted to

develop an employee management application which includes:

• Employee data management

• Timesheet management

• Salary processing

• Invoice generation

Semi-Automated web application increases employee experience reduces attrition and saves substantial cost

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

Cost-saving – annual FTE reduction ~ 3, increased process efficiency 60%, increased employee engagement