SUCCESS STORIES

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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.
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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

 

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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
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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
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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
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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
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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%
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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
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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
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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
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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
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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.
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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
https://nucleusteq.com/wp-content/uploads/2020/03/data-modernization.jpg

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

 

https://nucleusteq.com/wp-content/uploads/2020/03/end-to-end.jpg

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

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