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The Challenge
- Identify the sentiment & Change the way customers perceive the airline, both in domestic and international sectors.
- Sentiments captured from Facebook, Twitter, Email Support, Call Center Support, Website, Travel Booking sites, etc.
- Connect all together to derive relevance w.r.t. passenger, travel dates, times, sectors, planes, staff etc.
NucleusTeq Solution
- Performed aspect-based sentiment analysis and identified potential areas of improvement
- Worked on linkage with other datasets to identify the root causes of the problem and suggest system improvement changes
- Provide high level recommendations based on past actions taken
Benefits Realized
- More than 80% accuracy in identifying the relevant sentiments that impacted the customer’s satisfaction.
- Effectively provide recommendations to provide recommended action for specific cases.
About the customer – Customer is one of the largest Oil & Gas company in the world
The Challenge
- Fragmented functions lead to significant delays and less than optimal recommendations
- The company did not have a unified digital strategy leading to significant delay in execution
- Insights were not leading to effective actions
NucleusTeq Solution
- Defined & Implemented Azure based cloud platform strategy leveraging Industry Gen 4 reference Architecture
- Implemented 10+ Insights that would lead to smart decisions such as operations optimization, Real-time Monitoring etc.
- IoT streaming & real-time analytics for predictive failures
Benefits Realized
- 15% more yield through advanced Machine Learning recommendations
- 10% faster time to market while leveraging the cloud based digital platform.
- 12-15% reduction in failures & incidents through predictive monitoring
About the customer – Customer is one of the major telecommunications companies in USA
The Challenge
- Detect router issues, tower failure & call drops in real-time
- Identify and route the traffic to another (working) infrastructure.
- Improve customer experience
- Feedback loop to customer and link it with marketing
NucleusTeq Solution
- NucleusTeq created an end-to-end pipeline where the network data is ingested, transformed and dynamically analyzed via Machine Learning Algorithms to identify anomalies and sent to appropriate channel for further action
- Real-time routing and monitoring of the network.
Benefits Realized
- Unsupervised algorithm dynamically updates itself and identifies anomalies. Thus, it always considers the latest dynamics of the environment
- Real-time monitoring & optimization of the infrastructure
- Enhanced customer experience
Customer Challenge
- Teradata was the only platform that was catering to the enterprise reporting, This added to significant annual costs for the customer
- Data was in silos and each BU had its own process to exchange data with other Bus, This added significant delays in developing products that required enterprise-level data.
- Lack of self-service of the enterprise data leading to higher time to market, costs & redundancies.
NucleusTeq Solution Approach
- Centralized, Standardized & Certified Data for Consistency
- Democratize Data through self-service API’s while eliminating redundancy
- Ensuring compliance to Enterprise data security guidelines
- Maximize application/data Reusability & Globalization
Outcomes Delivered
- Comprehensive Metadata Management, Security Data Quality & Governance
- Single source of truth
- Data integrity & quality with financial B&C
- Eliminated redundancy by 47%
- Reduced Attribute SORs by 72%
- 4 Petabyte data migrated
- 18 Months total delivery time
- 35+ M in operations savings per year
Customer Challenge
- Lack of centralization, standardization and self-service of the enterprise data leading to higher time to market, costs & redundancies
- Point to Point Integrations leading to significant cost, lack of governance, data quality & missing single version of “truth”.
NucleusTeq Solution Approach
- Centralized, Standardized & Certified Data for Consistency
- Democratize Data through self-service API’s while eliminating redundancy
- Ensuring compliance to Enterprise data security guidelines
- Maximize application/data Reusability & Globalization
Outcomes Delivered
- Data Lake on Azure
- Comprehensive Metadata Management, Security & Governance
- Self Service Data Management Portal
- Single source of truth
- Data integrity & quality with financial B&C
- Eliminated redundancy by 40%
- Reduced IT Infra Cost by 52%
- Reduced project cost by 45%
- Expedited project delivery by 20% by leveraging Offshore
- 16 SORs
- 100 TB Data migrated
- Customer & Services BUs
- 3+ M in operations savings
per year
- 50% more customer retention & repeat business expected
- 12-15% increase in Offers based sales
About the customer – One of the largest manufactures & distributors of prescription pharmaceuticals in several therapeutic areas, including cancer, HIV/AIDS, cardiovascular disease, diabetes, hepatitis, rheumatoid arthritis and psychiatric disorders.
Customer Challenge
- An unmanaged on-prem data lake running the risk of becoming a data swamp, needed to be optimized & migrated to cloud
- Unusable insights & recommendations for the enterprise users
- Unable to efficiently utilize the provisioned cluster
- Enable An organized data lake supported by a curated semantic layer reducing redundancy and confusion.
- Breakdown silos and enable a consolidated reporting platform powered by Hadoop
NucleusTeq Solution
- Partnered with the customers stakeholders across IT and business to develop a comprehensive roadmap and strategy to optimize and migrate to the cloud
- Defined a multi-year phased cloud migration plan for success and execution
- Enabled and trained internal teams to get cloud and big data-enabled at the end-user level
- Put in execution an initiative migrating EDW workloads to Hadoop on cloud
- Put in execution optimization, data harmonization and migration to the cloud
- Converged siloed analytics into a uniform converged platform expanding access for easy discovery and multi-faceted analysis.
Outcomes Delivered
- Business users are able to perform wider analysis across multiple channels unhindered by silos
- A flexible and elastic data platform in the cloud capable of catering to the diverse and dynamic needs of the enterprise for a significantly smaller budget footprint
- Cost savings and effort reduction enabled by dynamic AWS native apps
- One stop metrics repository for senior management review and chargebacks
About the customer – Customer is one of the top 3 B2B broker in the world
Customer Challenge
- Create a unified risk-based model for real-time underwriting & presentment of Insurance to a Business customer
- Lack of centralization, standardization and self-service of the enterprise data leading to higher time to market, costs & redundancies
- Point to Point Integrations leading to significant cost, lack of governance, data quality & missing single version of “truth”.
NucleusTeq Solution Approach
- Centralized, Standardized & Certified Data for Consistency
- Democratize Data through self-service API’s while eliminating redundancy
- Ensuring compliance to Enterprise data security guidelines
- Created a data model that accounted for various parameters such as IOT sensor data of the field worker, probability of injury, pattern analysis etc.
Outcomes Delivered
- Data Lake on Azure for unified data management & single source of truth
- Data integrity & quality with financial B&C
- Real-time (100 TPS) system for Insurance underwriting & premium processing
- Eliminated system redundancy by 40%
About the customer – Customer is one of the top 3 largest credit card & payments companies in the world.
Customer Challenge
- Teradata was the only platform that was catering to the enterprise reporting, This added to significant annual costs for the customer
- Data was in silos and each BU had their own process to exchange data with other Bus, This added significant delays in developing products that required enterprise level data.
- Lack of self-service of the enterprise data leading to higher time to market, costs & redundancies.
NucleusTeq Solution Approach
- Centralized, Standardized & Certified Data for Consistency
- Democratize Data through self-service API’s while eliminating redundancy
- Ensuring compliance to Enterprise data security guidelines
- Maximize application/data Reusability & Globalization
Outcomes Delivered
- Comprehensive Metadata Management, Security Data Quality & Governance
- Single source of truth
- Data integrity & quality with financial B&C
- Eliminated redundancy by 47%
- Reduced Attribute SORs by 72%
- 8 Petabyte data migrated
- 18 Months total delivery time
- 35+ M in operations savings per year
About the customer – Customer is one of the top 10 largest banks in the world.
Customer Challenge
- Bank lost billions of dollars in penalties and trading losses
- Challenge posed was to detect the intent to commit fraud proactively by monitoring communications in order to avoid penalties and damage to reputation
- Large team of ~30 people were dedicated to ensure compliance using keyword search but face too many false positives
NucleusTeq Solution Approach
- Delivered a semi-supervised learning-based NLP solution to aid in detecting fraudulent activity
- Coordinated multiple rounds of reviews to improve solution accuracy across 10 categories
- Attained expected precision in SLA within 2 months
- Implemented solution on Stanford NLP, Spark and Tachyon
Outcomes Delivered
- Delivered expected accuracy to detect email messages with scores for fraud categories
- Elimination of a large part of the data via identification of non-relevant messages using learning algorithms
- Defined templates unique to each type of fraud based on presence of different entities (persons, places etc)
- Created an approach to profile all the users in the data by means of graph analytics algorithms
Customer Challenge
- Mandate to Increase revenues & customer retention
- Reduce customer support costs
- Mandate to Improve customer experience
NucleusTeq Solution Approach
Use Cases fully automated:
- Billing Inquiry Analysis
- Insurance Quote Lookup
- Knowledge Push
- Automated Documentation
- Agent Groups: Customer Service, Sales, Underwriting, Processing
Outcomes Delivered
- 72% Manual Effort Automated
- 6 million in annual savings
- 2 weeks CSR training time reduction
- 20% AHT reduction
- 6 months implementation
Back Office RPA Solution for American Multinational investment bank and financial services company, also Big 4 Bank with around 10.73% of American bank deposits
Customer Challenge
- Higher waiting time for Mortgage Processing
- Mandate to reduce errors and paper work in the process
- Highly manual process, with redundant and repetitive steps
- Mandate to Improve Customer Satisfaction Rating
NucleusTeq Solution Approach
- Through RPA, the manual & repetitive entries in application processing were automated
- The paper work was digitized through OCR, easier online application & verification, faster underwriting and escalation processing; and reduced process time to a competitive 1 minute from 2 hours approvals
- Process Transformation through Digitization and Process Improvement efforts led to reduced errors
Outcomes Delivered
- AHT improved by a record 35%
- Errors reduced to 0.005%
- Increased loan origination revenue by $12 Million
- AHT reductions and over 25% increased online applications in 2018
- Strongest consumer score in the bank’s history
About the customer – Customer is one of the top 3 pet retailers in the world
Customer Challenge
- Lack of centralization, standardization and self-service of the enterprise data leading to higher time to market, costs & redundancies
- Projects based development as opposed to “Platform / Products” thinking leading to significant cost & redundancy.
NucleusTeq Solution Approach
- Defined & Created core platform components on the Azure environment to support Scheduling, Ingestion, Metadata Management, Data quality etc.
- Created end-to-end monitoring & operations management platform to ensure optimal use of the platform
- Created Continuous Integration, Continuous Deployment, Automated testing capabilities for all federated applications. Extensive use of enterprise Jenkins.
- Created data consumption layer through microservices architecture using Azure Kubernetes Services.
Outcomes Delivered
- Unified single version of truth data lake for the enterprise
- 5X faster time to market for new reports & data capabilities
- 40% reduction in operating expenses through cloud adoption & management.
About the customer – Customer is one of the top federal housing finance company
Customer Challenge
- Enterprise Data Warehouse (EDW) on Netezza to be migrated to AWS Cloud.
- Design and deliver a comprehensive solution implementing best practice recommendations in line with the enterprise data lake goals.
- Replicate the current Netezza snapshotting process in the EDW environment into the AWS environment
- Provide best practice recommendations in the areas of metadata capture, lineage & audit
NucleusTeq Solution Approach
- Migrated the snapshotting process from Netezza to AWS based environment
- Migrated base tables in 3NF from IDS (Integrated Data Store) to S3 and update them on an ongoing basis with incremental updates
- Implemented identified data migration patterns in a way that it can be reused for tables conforming to similar patterns
- Identified and migrated major percentage of the EDW users and their associated queries that qualify as long-running workloads to S3
- Comprehensive architecture on AWS addressing the enterprise data lake goals with best practice recommendations in the areas of metadata capture, lineage, storage & audit
Outcomes Delivered
- Offload of the major percentage of Netezza based EDW (data and workloads) to AWS based environment
- Free the EDW from snapshotting process by migrating the process to AWS
- Use of cloud offering elasticity to the process for future scaling
Customer Challenge
- Teradata was the only platform that was catering to the enterprise reporting, This added to significant annual costs for the customer
- Data was in silos and each BU had their own process to exchange data with other Bus, This added significant delays in developing products that required enterprise-level data.
- Lack of self-service of the enterprise data leading to higher time to market, costs & redundancies.
NucleusTeq Solution Approach
- Centralized, Standardized & Certified Data for Consistency
- Democratize Data through self-service API’s while eliminating redundancy
- Ensuring compliance to Enterprise data security guidelines
- Maximize application/data Reusability & Globalization
Solution Architecture

Outcomes Delivered
- Comprehensive Metadata Management, Security Data Quality & Governance
- Single source of truth
- Data integrity & quality with financial B&C
- Eliminated redundancy by 47%
- Reduced Attribute SORs by 72%
- 8 Petabyte data migrated
- 18 Months total delivery time
- 35+ M in operations savings per year
Customer Challenge
- Lack of centralization, standardization and self-service of the enterprise data leading to higher time to market, costs & redundancies
- Point to Point Integrations leading to significant cost, lack of governance, data quality & missing single version of “truth”
NucleusTeq Solution Approach
- Centralized, Standardized & Certified Data for Consistency
- Democratize Data through self-service API’s while eliminating redundancy
- Ensuring compliance to Enterprise data security guidelines
- Maximize application/data Reusability & Globalization
Solution Architecture

Outcomes Delivered
- Data Lake on Azure
- Comprehensive Metadata Management , Security & Governance
- Self Service Data Management Portal
- Single source of truth
- Data integrity & quality with financial B&C
- Eliminated redundancy by 40%
- Reduced IT Infra Cost by 52%
- Reduced project cost by 45%
- Expedited project delivery by 20% by leveraging Offshore
- 16 SORs
- 100 TB Data migrated
- Customer & Services BUs
- 3+ M in operations savings per year
- 50% more customer retention & repeat business expected
- 12-15% increase in Offers based sales