Who We Are

At BDIPlus we are driven by a single purpose:  empower the technology transformation!  Our industry expertise and desire to  bring innovation  fuels every decision we make. In the era of rapidly growing technologies and constantly changing consumer demands – BDIPlus is your solution to be ahead. 

We are Passionate about creating

Foundational Technology Platforms 

for enterprise data and information management. 

BDIPlus Core Values

We are committed to build efficient enterprise solutions

BDIPlus services a variety of businesses, commitment to each client is essential to success

We work as a team

Our company is a fun and friendly place where teamwork rules

We like to have Fun

We believe fun should be part of everything we do

We work hard. And we reward hard work.

Sometimes the hours can get long, but hard work at BDIPlus never stays unnoticed

We devoted to innovate

We encourage innovation and always encourage flow of ideas

We own it

We hold ourselves accountable for outcomes, good and bad. We don’t pass the buck..

We are committed to build efficient enterprise solutions

BDIPlus services a variety of businesses, commitment to each client is essential to success

We work as a team

Our company is a fun and friendly place where teamwork rules

We like to have Fun

We believe fun should be part of everything we do

We work hard. And we reward hard work.

Sometimes the hours can get long, but hard work at BDIPlus never stays unnoticed

We devoted to innovate

We encourage innovation and always encourage flow of ideas

We own it

We hold ourselves accountable for outcomes, good and bad. We don’t pass the buck..

Case Studies

   

Client:

Fortune-100 credit card

issuer in USA

Purpose:

Optimizing data to improve  targeted marketing.

Their Challenges

Click to Sell’ marketing campaigns often irrelevant to customers due to data inconsistencies ​

Data management system required to:​

  • Process and analyze over 2 years of data with over 4 billion records/day
  • Identify targeted products for over 30 million customers​
  • Distribute data to decision-making platforms

Purpose:

Improving lead targeting times and costs.

Their Challenges

Time lag between lead generation and lead targeting took an average of 90 mins.

Lead targeting costs too high along with production delays.

Time to market is 6 to 9 months .

Serving data real-time from a batch and big data store is volatile.

Our Impact

Data ingestion process automated to refresh daily and real-time, ingesting feedback data, using Data Fabric 

Data Democratization enabled across multiple personas 

Reduced turnaround time for modeling from 4-5 months to 1-2 days 

Enabled data consumption from high latency to a low latency store for caching

Our Impact

Using Data Fabric, the APIs reduced the lead generation and matching to less than 5 seconds. 

Replaced monolithic API service to a scalable Data Fabric with minimal to no code change for all existing consumers.

Reduced the Data Engineering and management asset costs by 60% through code-less APIs​.

Purpose:

Democratizing Data Access in-house and third party partners

Their Challenges

Lack of enterprise wide data catalog​.

Assets (Data/ workflows) access among employees was not streamlined​.

Data management system required too many user interventions for governance and standardizations

Purpose:

Integrating hybrid technology connections for ingestion, transformation and information routing

Their Challenges

Siloed connectivity across hybrid data stores​.

Data movement across clouds resulted in data redundancy.

Unjust technology and personnel cost in custom integrations of fast and slow data​.

Our Impact

Automated Data Quality checks and transformation  across batch and real-time data streams

Data Dictionary enablement through extensive meta capture

In-Built automated Data Governance for approval communications and quality control 

Time to market for new data products decreased from approx. one year to 90 days.

Our Impact

Data ingestion process automated to refresh daily and real-time, ingesting feedback data, using Data Fabric 

Data Democratization enabled across multiple personas 

Reduced turnaround time for modeling from 4-5 months to 1-2 days 

Enabled data consumption from high latency to a low latency store for caching

   

Client:

Leading Financial Services

Company

Case Studies

For a Fortune 100 top credit card issuer in USA. 

Purpose: 
Optimizing data to improve targeted marketing

Their Challenges

Click to Sell’ marketing campaigns often irrelevant to customers due to data inconsistencies 

Data management system required to:

  • Process and analyze over 2 years of data with over 4 billion records/day
  • Identify targeted products for over 30 million customers
  • Distribute data to decision-making platforms

Our Impact

Data ingestion process automated to refresh daily and real-time, ingesting feedback data, using Data Fabric 

Data Democratization enabled across multiple personas 

Reduced turnaround time for modeling from 4-5 months to 1-2 days 

Enabled data consumption from high latency to a low latency store for caching

Purpose: 

Improving lead targeting timing and costs

Their Challenges

Time lag between lead generation and lead targeting took an average of 90 mins.

Lead targeting costs too high along with production delays.

Time to market is 6 to 9 months .

Serving data real-time from a batch and big data store is volatile.

Our Impact

Using Data Fabric, the APIs reduced the lead generation and matching to less than 5 seconds. 

Replaced monolithic API service to a scalable Data Fabric with minimal to no code change for all existing consumers.

Reduced the Data Engineering and management asset costs by 60% through code-less APIs​.

For a Leading Financial Services company. 

Purpose: 

Democratizing Data Access in house and third-party partners

Their Challenges

Lack of enterprise wide data catalog

Assets (Data/ workflows) access among employees was not streamlined​.

Data management system required too many user interventions for governance and standardizations

Our Impact

Automated Data Quality checks and transformation  across batch and real-time data streams

Data Dictionary enablement through extensive meta capture

In-Built automated Data Governance for approval communications and quality control 

Time to market for new data products decreased from approx. one year to 90 days.

Purpose: 

Integrating hybrid technology connections for ingestion, transformation and information routing

Their Challenges

Siloed connectivity across hybrid data stores​.

Data movement across clouds resulted in data redundancy.

Unjust technology and personnel cost in custom integrations of fast and slow data​.

Our Impact

Data ingestion process automated to refresh daily and real-time, ingesting feedback data, using Data Fabric 

Data Democratization enabled across multiple personas 

Reduced turnaround time for modeling from 4-5 months to 1-2 days 

Enabled data consumption from high latency to a low latency store for caching