Complere Infosystem

Building a data pipeline for bulk Data Migration to Salesforce

Building a Data Pipeline For Bulk Data Migration to Salesforce

PROJECT OBJECTIVE

CHALLENGE

Siloed Data: The company had data scattered across different departments, making it hard to access and share.

ETL Complexity: Managing Extract, Transform, Load (ETL) processes was complex, as the company lacks in-house expertise in handling these processes.

Maintainence & Monitering: ETL pipelines and data integrations required ongoing maintenance and monitoring t ensure they keep working smoothly. 

Resource Constraints: The company had limited resources, including skilled staff and technical infrastructure, which made it challenging to manage the onboarding and meeting timelines effectively. 

SCOPE Of the ProJECT

Complere create a metric for self-evaluation of team members. For example, we created a scripted email with giving metrics below:
By asking these questions to their team members, each member can analyze daily targets and work progress. After sending feedback, all data is directly sent to the owner. This automated email system built a strong connection between employer and employee to keep track of team members’ performance, goals, and productivity.

The Scope of the engagement included the following initiative.

Complere Solution benefited in many ways:

Metrics

Complere builds an easy but effective automated system for team members to self-evaluate and send complete reports to the owner to track the performance and productivity. When team members do a self-evaluation and share the work performance with the owner, it results in high productivity. This automated system helps clients track the performance of their team members and increase the team’s productivity. We’ve built this system, so it is easy for clients to send a scripted SMS with given metrics to the team members and their feedback directly forwarded to the owner to track the daily targets, performance, goals, and productivity in work.

CHALLENGE

Have a Question?

Puneet Taneja
CPO (Chief Planning Officer)

15+

years on market

Billions

of handled transactions

~200

markets served

Location:

Germany, Cologne

Industry:

Partnership period:

April 2018 - present

Technologies:

Machine Learning models

implementation

Serverless

workflow

MLOps best practices

as part of the development process

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