Make your trains run on time. World-class operations efficiency through revolutionary data science.

Operations

The operations function looks different for every industry, but one factor is universal: the goal of efficiency. Ultra-efficient data science can elevate operations performance to new heights.

Solutions for...

  • Acquisition and sales support
  • Post-sale support
  • Loyalty and retention

Market Challenges & Opportunities

Customer support operations are on the front line of shaping the customer experience. Agents play a vital role in catalyzing purchases and providing post-purchase support, and their scope extends even further. They can also enhance loyalty and inspire advocacy, transforming customers into brand evangelists. Big Data analytics can help optimize the various factors that can deliver high performance, but most advanced analytics solutions lack the efficiency, speed, scalability, and tight integration with business processes to sustain performance.

Solution IPC Can Help

With Signal Hub from Solution IPC, customer support operations become a true strategic capability for the business. Signal Hub uses advanced data science and machine learning techniques to drive and sustain high performance. Businesses can proactively tailor interactions to appeal to individual customer segments, successfully rebalance support channels to self-service, improve assisted service, and drive sales — not just once but as an ongoing capability.

 

Solution Overview

Improve Customer Care

Make every interaction an opportunity to drive value​.

Signal Hub helps customer service and support organizations drive customer and employee actions that elevate customer satisfaction, improve financial results, and increase customer lifetime value.

How it delivers value:

  • Defines and validates customer personas and associated needs at a deeply granular level of detail, enabling micro-segmentation, precisely tailored treatment, and preemptive actions based on value profile and an understanding of where they are in the customer journey
  • Helps deliver a positive customer experience at every stage of the lifecycle
  • Identifies opportunities to reduce call volume (call abatement)
  • Increases self-service utilization, migrating customers from live interactions (via phone, e-mail, and in-person) to low- or no-touch digital interactions (pure online, chatbot, live chat)
  • Improves assisted service, enabling live agents to shape the customer experience throughout the customer journey
  • Empowers agents to implement service recovery strategies based on enhanced intelligence
  • Proactively seeks opportunities to drive sales and expand customer lifetime value (CLV)
Prioritize Collections

Turn your accounts receivable into accounts received.

Signal Hub helps finance organizations accelerate and recover receivables by using data science to enable a more sophisticated approach to collections.

How it delivers value:

  • Applies advanced data science to finance operations, revealing root causes of payment delinquency by customer segment and providing early indicators of delinquency risk with specific customers
  • Allows finance organizations to systematically analyze all customer accounts, identifying factors that can increase collection likelihood in delinquency situations
  • Quantifies delinquency risk by customer segment and micro-segment, allowing sales organizations to change contract terms or avoid sales to those customers that are least likely to pay or pay on time
  • Shapes and improves contact strategy (right timing, channel, frequency, message) to minimize delinquencies
  • Optimizes treatment strategies and account prioritization based on more precise segmentation and targeting
  • Aligns treatment offers over different stages of the collections process to minimize credit losses
  • Enables continuous improvement in sales, billing, and collections processes via machine learning techniques, helping the business systematically reduce write-offs and maintain liquidity over time
Make More for Less

Redefine world-class manufacturing operations. 

Signal Hub redefines “world-class” for manufacturing operations, optimizing end-to-end activities with the power of data science and machine learning.
 

How it delivers value:

  • Breaks down manufacturing processes into granular segments and micro-segments, facilitating precise examination, understanding, and action
  • Applies advanced data science techniques to reveal variability in processes, manufacturing equipment performance, worker performance, materials quality, and product quality
  • Enables early intervention to remediate issues upstream in the manufacturing process, before they manifest themselves as defects and drive rework or scrap
  • Optimizes throughput to align with downstream capacity limitations (e.g., manual assembly, quality inspections, inventory storage) and market demand
  • Promotes continuous improvement that reduces the cost-of-quality, inventory carrying cost, labor costs, and materials costs on a sustained basis
  • Delivers faster time-to-results than competing analytics solutions due to a proprietary technology architecture that applies data science in a fundamentally different way
Accelerate R&D

Smarter innovation. Simpler creation. Faster time-to-launch.

Signal Hub applies data science to R&D in a revolutionary way, helping R&D teams do more of what they do best — better and faster.
 
 
 

How it delivers value:

  • Infuses advanced data science into R&D in an intuitive, user-friendly manner, allowing R&D teams to identify and exploit development opportunities that were difficult, impractical, or impossible to discern previously
  • Allows research teams to generate and evaluate substantially more concepts, technologies, and designs than is possible with traditional research processes
  • Facilitates rapid prototyping and performance assessments, helping engineering teams analyze requirements, study design feasibility, and create capable designs faster and with substantially lower error rates
  • Defines and validates market hypotheses, customer personas, and associated customer needs at a deeply granular level, enabling micro-segmentation, more conclusive field trials, more effective market trials, and more successful product launches
  • Applies machine learning techniques to data at the concept, design, and go-to-market phases of R&D, enabling continuous improvement in research, engineering, and product development activities and more effective collaboration within and across teams
More...

Attain world-class Operations with smarter analytics.

Operational excellence is hard to achieve and harder to maintain. Signal Hub uses Big Data analytics in a unique way to make Operations smarter, drive continuous improvement, and help the seemingly ordinary become extraordinary.

  • Facilities Management
  • Field Service Schedule Optimization
  • Fleet Route Optimization
  • Liquidity and Margin Optimization
  • Real-time Service Actions
  • Real Estate Optimization
  • Staffing Optimization
  • Real-time Service Actions
  • Transportation Network Throughput Enhancement

Solutions for...

  • Accounts payable
  • Accounts receivable
  • Liquidity and capital management

Market Challenges & Opportunities

Finance operations balance cash inflows and outflows, providing funds in the right place at the right time. Optimizing working capital requires a structured, data-driven approach to managing receivables, payables, and funds flowing from financing activity. Even with the right processes in place, meeting goals requires intense process discipline. Big Data analytics can help optimize processes and drive efficiency, but analytics solutions must do so sustainably and with scalability that supports dynamic market conditions.


Solution IPC Can Help

Signal Hub from Solution IPC helps finance organizations orchestrate cash flows with precision, aligning inflows and outflows with the cadence of the business and anticipating future needs so that the business can prepare rather than merely react. Advanced data science strengthens existing financial analysis capabilities while machine learning techniques enable continuous improvement in financial controls and operating efficiency over time. Signal Hub delivers efficiency and enables a proactive orientation that minimizes volatility and surprises.

Solution Overview

Improve Customer Care

Make every interaction an opportunity to drive value​.

Signal Hub helps customer service and support organizations drive customer and employee actions that elevate customer satisfaction, improve financial results, and increase customer lifetime value.

How it delivers value:

  • Defines and validates customer personas and associated needs at a deeply granular level of detail, enabling micro-segmentation, precisely tailored treatment, and preemptive actions based on value profile and an understanding of where they are in the customer journey
  • Helps deliver a positive customer experience at every stage of the lifecycle
  • Identifies opportunities to reduce call volume (call abatement)
  • Increases self-service utilization, migrating customers from live interactions (via phone, e-mail, and in-person) to low- or no-touch digital interactions (pure online, chatbot, live chat)
  • Improves assisted service, enabling live agents to shape the customer experience throughout the customer journey
  • Empowers agents to implement service recovery strategies based on enhanced intelligence
  • Proactively seeks opportunities to drive sales and expand customer lifetime value (CLV)
Prioritize Collections

Turn your accounts receivable into accounts received.

Signal Hub helps finance organizations accelerate and recover receivables by using data science to enable a more sophisticated approach to collections.

How it delivers value:

  • Applies advanced data science to finance operations, revealing root causes of payment delinquency by customer segment and providing early indicators of delinquency risk with specific customers
  • Allows finance organizations to systematically analyze all customer accounts, identifying factors that can increase collection likelihood in delinquency situations
  • Quantifies delinquency risk by customer segment and micro-segment, allowing sales organizations to change contract terms or avoid sales to those customers that are least likely to pay or pay on time
  • Shapes and improves contact strategy (right timing, channel, frequency, message) to minimize delinquencies
  • Optimizes treatment strategies and account prioritization based on more precise segmentation and targeting
  • Aligns treatment offers over different stages of the collections process to minimize credit losses
  • Enables continuous improvement in sales, billing, and collections processes via machine learning techniques, helping the business systematically reduce write-offs and maintain liquidity over time
Make More for Less

Redefine world-class manufacturing operations. 

Signal Hub redefines “world-class” for manufacturing operations, optimizing end-to-end activities with the power of data science and machine learning.
 

How it delivers value:

  • Breaks down manufacturing processes into granular segments and micro-segments, facilitating precise examination, understanding, and action
  • Applies advanced data science techniques to reveal variability in processes, manufacturing equipment performance, worker performance, materials quality, and product quality
  • Enables early intervention to remediate issues upstream in the manufacturing process, before they manifest themselves as defects and drive rework or scrap
  • Optimizes throughput to align with downstream capacity limitations (e.g., manual assembly, quality inspections, inventory storage) and market demand
  • Promotes continuous improvement that reduces the cost-of-quality, inventory carrying cost, labor costs, and materials costs on a sustained basis
  • Delivers faster time-to-results than competing analytics solutions due to a proprietary technology architecture that applies data science in a fundamentally different way
Accelerate R&D

Smarter innovation. Simpler creation. Faster time-to-launch.

Signal Hub applies data science to R&D in a revolutionary way, helping R&D teams do more of what they do best — better and faster.
 
 
 

How it delivers value:

  • Infuses advanced data science into R&D in an intuitive, user-friendly manner, allowing R&D teams to identify and exploit development opportunities that were difficult, impractical, or impossible to discern previously
  • Allows research teams to generate and evaluate substantially more concepts, technologies, and designs than is possible with traditional research processes
  • Facilitates rapid prototyping and performance assessments, helping engineering teams analyze requirements, study design feasibility, and create capable designs faster and with substantially lower error rates
  • Defines and validates market hypotheses, customer personas, and associated customer needs at a deeply granular level, enabling micro-segmentation, more conclusive field trials, more effective market trials, and more successful product launches
  • Applies machine learning techniques to data at the concept, design, and go-to-market phases of R&D, enabling continuous improvement in research, engineering, and product development activities and more effective collaboration within and across teams
More...

Attain world-class Operations with smarter analytics.

Operational excellence is hard to achieve and harder to maintain. Signal Hub uses Big Data analytics in a unique way to make Operations smarter, drive continuous improvement, and help the seemingly ordinary become extraordinary.

  • Facilities Management
  • Field Service Schedule Optimization
  • Fleet Route Optimization
  • Liquidity and Margin Optimization
  • Real-time Service Actions
  • Real Estate Optimization
  • Staffing Optimization
  • Real-time Service Actions
  • Transportation Network Throughput Enhancement

Solutions for...

  • Research
  • Engineering
  • Product development

Market Challenges & Opportunities

Big Data is playing an increasing role in shaping the journey of a product from concept to reality. In fast-paced industries, market pressures have intensified demands on technical and product professionals to ideate, create, validate, and enable new products, components, and technologies within an extremely compressed time frame. Not only must their work operate flawlessly, it also must differentiate the company in the marketplace. With limited time and small margin for error, R&D teams need Big Data analytics solutions that accelerate cycle time, maximize throughput, and support agile operations.

Solution IPC Can Help

Signal Hub from Solution IPC lets R&D teams dramatically expand the volume and quality of their work, accelerating the pace of innovation and delivering profitable growth. Advanced data science techniques, prebuilt analytics workflows, revolutionary architecture for managing extracted insights, and machine learning enable an extremely agile product development cycle. With Signal Hub, R&D teams bring successful products to market faster, helping the business strengthen its competitive edge.

Solution Overview

Improve Customer Care

Make every interaction an opportunity to drive value​.

Signal Hub helps customer service and support organizations drive customer and employee actions that elevate customer satisfaction, improve financial results, and increase customer lifetime value.

How it delivers value:

  • Defines and validates customer personas and associated needs at a deeply granular level of detail, enabling micro-segmentation, precisely tailored treatment, and preemptive actions based on value profile and an understanding of where they are in the customer journey
  • Helps deliver a positive customer experience at every stage of the lifecycle
  • Identifies opportunities to reduce call volume (call abatement)
  • Increases self-service utilization, migrating customers from live interactions (via phone, e-mail, and in-person) to low- or no-touch digital interactions (pure online, chatbot, live chat)
  • Improves assisted service, enabling live agents to shape the customer experience throughout the customer journey
  • Empowers agents to implement service recovery strategies based on enhanced intelligence
  • Proactively seeks opportunities to drive sales and expand customer lifetime value (CLV)
Prioritize Collections

Turn your accounts receivable into accounts received.

Signal Hub helps finance organizations accelerate and recover receivables by using data science to enable a more sophisticated approach to collections.

How it delivers value:

  • Applies advanced data science to finance operations, revealing root causes of payment delinquency by customer segment and providing early indicators of delinquency risk with specific customers
  • Allows finance organizations to systematically analyze all customer accounts, identifying factors that can increase collection likelihood in delinquency situations
  • Quantifies delinquency risk by customer segment and micro-segment, allowing sales organizations to change contract terms or avoid sales to those customers that are least likely to pay or pay on time
  • Shapes and improves contact strategy (right timing, channel, frequency, message) to minimize delinquencies
  • Optimizes treatment strategies and account prioritization based on more precise segmentation and targeting
  • Aligns treatment offers over different stages of the collections process to minimize credit losses
  • Enables continuous improvement in sales, billing, and collections processes via machine learning techniques, helping the business systematically reduce write-offs and maintain liquidity over time
Make More for Less

Redefine world-class manufacturing operations. 

Signal Hub redefines “world-class” for manufacturing operations, optimizing end-to-end activities with the power of data science and machine learning.
 

How it delivers value:

  • Breaks down manufacturing processes into granular segments and micro-segments, facilitating precise examination, understanding, and action
  • Applies advanced data science techniques to reveal variability in processes, manufacturing equipment performance, worker performance, materials quality, and product quality
  • Enables early intervention to remediate issues upstream in the manufacturing process, before they manifest themselves as defects and drive rework or scrap
  • Optimizes throughput to align with downstream capacity limitations (e.g., manual assembly, quality inspections, inventory storage) and market demand
  • Promotes continuous improvement that reduces the cost-of-quality, inventory carrying cost, labor costs, and materials costs on a sustained basis
  • Delivers faster time-to-results than competing analytics solutions due to a proprietary technology architecture that applies data science in a fundamentally different way
Accelerate R&D

Smarter innovation. Simpler creation. Faster time-to-launch.

Signal Hub applies data science to R&D in a revolutionary way, helping R&D teams do more of what they do best — better and faster.
 
 
 

How it delivers value:

  • Infuses advanced data science into R&D in an intuitive, user-friendly manner, allowing R&D teams to identify and exploit development opportunities that were difficult, impractical, or impossible to discern previously
  • Allows research teams to generate and evaluate substantially more concepts, technologies, and designs than is possible with traditional research processes
  • Facilitates rapid prototyping and performance assessments, helping engineering teams analyze requirements, study design feasibility, and create capable designs faster and with substantially lower error rates
  • Defines and validates market hypotheses, customer personas, and associated customer needs at a deeply granular level, enabling micro-segmentation, more conclusive field trials, more effective market trials, and more successful product launches
  • Applies machine learning techniques to data at the concept, design, and go-to-market phases of R&D, enabling continuous improvement in research, engineering, and product development activities and more effective collaboration within and across teams
More...

Attain world-class Operations with smarter analytics.

Operational excellence is hard to achieve and harder to maintain. Signal Hub uses Big Data analytics in a unique way to make Operations smarter, drive continuous improvement, and help the seemingly ordinary become extraordinary.

  • Facilities Management
  • Field Service Schedule Optimization
  • Fleet Route Optimization
  • Liquidity and Margin Optimization
  • Real-time Service Actions
  • Real Estate Optimization
  • Staffing Optimization
  • Real-time Service Actions
  • Transportation Network Throughput Enhancement

Solutions for...

  • Facilities management
  • Fleet management
  • Real estate management

Market Challenges & Opportunities

Operations takes many forms across industries. Even within the same industry, different companies approach it differently. Whatever factors distinguish Operations, all businesses strive for efficiency. Businesses that view their Big Data repositories as information assets can infuse advanced data science into their operations, leading to increased scale economies, lower waste, more differentiated products, and a strengthened ability to outflank competitors through speed, quality, and performance.

Solution IPC Can Help

Signal Hub from Solution IPC helps companies optimize Operations, turning it into a powerful source of competitive advantage. Its advanced data science and machine learning technology turns a company’s Big Data into a source of insight, informed decisions, timely action, and continuous improvement. Signal Hub delivers lower cost structures, faster time-to-market, first-mover advantage, and competitive differentiation, transforming Operations into an engine of profitable growth.

Solution Overview

Improve Customer Care

Make every interaction an opportunity to drive value​.

Signal Hub helps customer service and support organizations drive customer and employee actions that elevate customer satisfaction, improve financial results, and increase customer lifetime value.

How it delivers value:

  • Defines and validates customer personas and associated needs at a deeply granular level of detail, enabling micro-segmentation, precisely tailored treatment, and preemptive actions based on value profile and an understanding of where they are in the customer journey
  • Helps deliver a positive customer experience at every stage of the lifecycle
  • Identifies opportunities to reduce call volume (call abatement)
  • Increases self-service utilization, migrating customers from live interactions (via phone, e-mail, and in-person) to low- or no-touch digital interactions (pure online, chatbot, live chat)
  • Improves assisted service, enabling live agents to shape the customer experience throughout the customer journey
  • Empowers agents to implement service recovery strategies based on enhanced intelligence
  • Proactively seeks opportunities to drive sales and expand customer lifetime value (CLV)
Prioritize Collections

Turn your accounts receivable into accounts received.

Signal Hub helps finance organizations accelerate and recover receivables by using data science to enable a more sophisticated approach to collections.

How it delivers value:

  • Applies advanced data science to finance operations, revealing root causes of payment delinquency by customer segment and providing early indicators of delinquency risk with specific customers
  • Allows finance organizations to systematically analyze all customer accounts, identifying factors that can increase collection likelihood in delinquency situations
  • Quantifies delinquency risk by customer segment and micro-segment, allowing sales organizations to change contract terms or avoid sales to those customers that are least likely to pay or pay on time
  • Shapes and improves contact strategy (right timing, channel, frequency, message) to minimize delinquencies
  • Optimizes treatment strategies and account prioritization based on more precise segmentation and targeting
  • Aligns treatment offers over different stages of the collections process to minimize credit losses
  • Enables continuous improvement in sales, billing, and collections processes via machine learning techniques, helping the business systematically reduce write-offs and maintain liquidity over time
Make More for Less

Redefine world-class manufacturing operations. 

Signal Hub redefines “world-class” for manufacturing operations, optimizing end-to-end activities with the power of data science and machine learning.
 

How it delivers value:

  • Breaks down manufacturing processes into granular segments and micro-segments, facilitating precise examination, understanding, and action
  • Applies advanced data science techniques to reveal variability in processes, manufacturing equipment performance, worker performance, materials quality, and product quality
  • Enables early intervention to remediate issues upstream in the manufacturing process, before they manifest themselves as defects and drive rework or scrap
  • Optimizes throughput to align with downstream capacity limitations (e.g., manual assembly, quality inspections, inventory storage) and market demand
  • Promotes continuous improvement that reduces the cost-of-quality, inventory carrying cost, labor costs, and materials costs on a sustained basis
  • Delivers faster time-to-results than competing analytics solutions due to a proprietary technology architecture that applies data science in a fundamentally different way
Accelerate R&D

Smarter innovation. Simpler creation. Faster time-to-launch.

Signal Hub applies data science to R&D in a revolutionary way, helping R&D teams do more of what they do best — better and faster.
 
 
 

How it delivers value:

  • Infuses advanced data science into R&D in an intuitive, user-friendly manner, allowing R&D teams to identify and exploit development opportunities that were difficult, impractical, or impossible to discern previously
  • Allows research teams to generate and evaluate substantially more concepts, technologies, and designs than is possible with traditional research processes
  • Facilitates rapid prototyping and performance assessments, helping engineering teams analyze requirements, study design feasibility, and create capable designs faster and with substantially lower error rates
  • Defines and validates market hypotheses, customer personas, and associated customer needs at a deeply granular level, enabling micro-segmentation, more conclusive field trials, more effective market trials, and more successful product launches
  • Applies machine learning techniques to data at the concept, design, and go-to-market phases of R&D, enabling continuous improvement in research, engineering, and product development activities and more effective collaboration within and across teams
More...

Attain world-class Operations with smarter analytics.

Operational excellence is hard to achieve and harder to maintain. Signal Hub uses Big Data analytics in a unique way to make Operations smarter, drive continuous improvement, and help the seemingly ordinary become extraordinary.

  • Facilities Management
  • Field Service Schedule Optimization
  • Fleet Route Optimization
  • Liquidity and Margin Optimization
  • Real-time Service Actions
  • Real Estate Optimization
  • Staffing Optimization
  • Real-time Service Actions
  • Transportation Network Throughput Enhancement

What the Market Is Saying

"Opera has allowed us to take control of over $2B in annual spend from multiple ERPs and payment channels."

—VP Procurement, Top-5 Financial Services Firm

“Signal Hub's impact was greater than that of our current model, even when Signal Hub targeted only one-third of the customers.”

—Marketing Director, Top-5 US Telecom Services Provider

"We had Signal Hub up and running in less than four months."

—Director of Operations, Top-10 Global Airline

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