Which role is closest to your current professional assignment?
SANJAY DESHMUKH
HEAD – GLOBAL PRESALES AND PARTNERSHIPS
Sanjay literally lives the term ‘Applying the power of AI’ when it comes to solving complex and consequential business challenges, which also forms a cornerstone of his digital transformation advocacy mantra, #FindabilitySolves!
As a highly experienced Fintech executive, Sanjay uses the predictive and prescriptive power of Findability.ai solutions to deliver significant financial ROI to global businesses.
-
1. Solutions
-
2. Services
- Churn Management
- Chatbot
- Propensity Prediction
- Forecasting for BFSI
- Price Prediction
- Summary
- Recommendations
Churn Management
- Develop targeted customer retention strategies by predicting the individual risk of churn.
- Leverage our multi-modeling propensity prediction technology to account for multiple factors such as profile details, satisfaction scores, engagement level, business volume, and industry trends.
- Our powerful, data-driven churn prediction provides the insights needed to re-engage customers based on their risk of churn, and keep them engaged with exact targeting, perfect timing, and redefined messaging.
Success Stories
THE PROBLEM
Canada’s leading provider of protection and wealth products/services wanted to improve its customer engagement strategy.
The company wanted to identify the customers at higher risk of attrition and predict overall customer satisfaction rating for key service parameters across three business units.
THE SOLUTION
A proprietary self-learning, multi-modeling automatic predictive technology from FIndability.AI was used to:
- Divide customer records into deciles based on likelihood to churn
- Predict customer satisfaction rating for three measures of customer service quality such as ease of doing business, proactive contact, and problem resolution
Success Stories
THE PROBLEM
In telecom industry, customer behavior is influenced by several external factors like new phone launch, festivals, time of the year etc. making it difficult to predict likelihood of retention.
THE SOLUTION
Findability.AI’s, proprietary self-learning, multi-modeling AI technology predicted customer churn based on CRM information, plan details, usage, and billing.
Findability.AI also analyzed unstructured content for chat bots and emails and accounted for reported malfunctions/defects while predicting churn.
Success Stories
THE PROBLEM
A global multimedia and creativity software company wanted to determine retention propensity for retail consumers who had contacted their call center with intention to cancel subscription.
THE SOLUTION
Customer tenure and product subscription history was analyzed using a self-learning, multi-modeling prediction technology from Findability.AI.
The proprietary algorithm ingested historical data to develop multiple prediction models to account for all possible scenarios in the dataset.
Chatbot
- Add interactive lead-generation touchpoints to your digital properties and enable 24X7 customer support with intelligent virtual agents powered by artificial intelligence.
- Our chatbots are capable of true NLP and NLU (Natural Language Processing & Understanding), allowing them to deliver engaging conversation experiences.
- Findability Sciences chatbots can automate up to 30% of query management by handling FAQs and other routine questions. They also process basic service requests and provide multilingual support for better end-customer experiences.
Success Stories
THE PROBLEM
One of the fastest growing insurance firms in India with 121 offices across the country.
The company was losing business opportunities due to growing number of queries and delays in response times.
THE SOLUTION
An interactive AI solution was developed using proprietary cognitive technology from Findability.AI and IBM Watson® Assistant APIs.
An AI powered chatbot ‘Alisha’ runs on natural language processing (NLP) based on conversational AI system.
Propensity Prediction
- Rank and order all the occurrences in a dataset for events such as lead conversion, customer churn, default, or fraud using the AI-powered propensity prediction technology from Findability Sciences.
- Multi-modeling technology accounts for multiple trends within the training datasets to produce highly accurate propensity ranking scores
Success Stories
Findability Sciences’ AI model helped Alliance One achieve a 40% ROI
Alliance one achieved 20-30% year-over-year uplift in collections consistently over a period of two years, resulting in a 40% financial ROI for 2021. Findability Sciences helped them formulate an AI-based propensity score model to prioritize and call the most likely payers first. This partnership resulted in increased revenue for Alliance One and measurable financial impact for their customers.
Success Stories
THE PROBLEM
A global debt collections agency wanted to improve payout rate of overdue invoices for its stores in the US.
The client wanted to improve upon the existing dues collection rate (24%) through a renewed debtor contact strategy.
THE SOLUTION
We proposed an operational strategy of ranking each invoice across a debt prioritization matrix based on the outstanding invoice amount and probability of payout.
A proprietary self-learning, multi-modeling automatic predictive technology from FIndability.AI was used for obtaining probability of payout.
Success Stories
THE PROBLEM
Global accounts receivable management company wanted to optimize the collection of overdue balance from loyalty program members.
Around 25000 customers accrue a cumulative debt between 40-45 million USD in overdue payments every year.
THE SOLUTION
A proprietary self-learning, multi-modeling automatic predictive technology from FIndability.AI was used to assign a ‘Propensity to Pay’ score to each record in the debt portfolio.
The debt portfolio was divided into 7 ‘age buckets’ defined by the debt collection partner.
Success Stories
THE PROBLEM
Due to increasing competition, it is necessary for telecom carriers to maximize dues recovery as well as expand their subscriber base.
A balance between soft action like sending reminders and hard action like discontinuing the service is important for collection teams.
THE SOLUTION
‘Propensity to Pay’ was calculated using a proprietary self-learning, multi-modeling automatic predictive technology from FIndability.AI.
Overdue accounts were divided into deciles based on the decreasing order of ‘Propensity to Pay’. The accounts were also monitored for inter-decile shifts and to detect steep changes in propensity to pay if any.
Success Stories
THE PROBLEM
Defaults in retail loans and resultant charge offs are an important cause of credit costs in banking.
Along with dealing with loan defaults at portfolio level, it is also important to identify the individual loans at higher risk of default to effectively target credit risk mitigation efforts.
THE SOLUTION
A proprietary self-learning, multi-modeling automatic predictive technology from FIndability.AI was used to divide the loan records into deciles based on their likelihood to default.
The proprietary algorithm ingested historical data to develop multiple prediction models to account for all possible scenarios in the dataset.
Forecasting for BFSI
Our AI-powered forecasting tools can greatly benefit financial services enterprises in managing risks associated with capital management, asset health, and liability pricing. By providing accurate forecasts with over 90% accuracy at the product level, these tools enable banks and other financial institutions to make smarter decisions and optimize their pricing strategies. This not only improves efficiency but also enhances profitability, making it an essential tool for financial services enterprises to better manage risk and stay ahead in the highly competitive industry.
Price Prediction
- Recommend price points that maximize the likelihood of transaction win rates to optimize revenue without compromising profit margins.
- Machine learning technology from Findability Sciences considers historical revenue, quantity and price points, deal win rates and forecasted demand to recommend ideal price points.
Summary
- Our proprietary, AI-powered summarization technology saves significant time and effort on information retrieval from research articles, reports, news, and book chapters.
- Key takeaways are identified by computing the ‘relevance score’ for each sentence based on its contextual relationship with the remaining text.
- Document parsing and keywords analysis are used to extract specific elements such as headers, tables, and diagrams.
- The AI-powered summaries ensure that your content is always accurate, consistent, and of the highest quality. Our technology can be integrated with enterprise software as well as firmware (such as scanners) to create productivity enhancement solutions.
Recommendations
- Increase upsell, cross-sell, and audience engagement with AI-powered recommender systems from Findability Sciences.
- Stay ahead of the competition by offering personalized customer experiences based on relevant suggestions.
- Leveraging data about past purchases, browsing history and preferences, to generate tailored recommendations which resonate with each customer, increasing the likelihood of a purchase.
- Develop targeted customer retention strategies by predicting the individual risk of churn.
- Leverage our multi-modeling propensity prediction technology to account for multiple factors such as profile details, satisfaction scores, engagement level, business volume, and industry trends.
- Our powerful, data-driven churn prediction provides the insights needed to re-engage customers based on their risk of churn, and keep them engaged with exact targeting, perfect timing, and redefined messaging.
Success Stories
THE PROBLEM
Canada’s leading provider of protection and wealth products/services wanted to improve its customer engagement strategy.
The company wanted to identify the customers at higher risk of attrition and predict overall customer satisfaction rating for key service parameters across three business units.
THE SOLUTION
A proprietary self-learning, multi-modeling automatic predictive technology from FIndability.AI was used to:
- Divide customer records into deciles based on likelihood to churn
- Predict customer satisfaction rating for three measures of customer service quality such as ease of doing business, proactive contact, and problem resolution
Success Stories
THE PROBLEM
In telecom industry, customer behavior is influenced by several external factors like new phone launch, festivals, time of the year etc. making it difficult to predict likelihood of retention.
THE SOLUTION
Findability.AI’s, proprietary self-learning, multi-modeling AI technology predicted customer churn based on CRM information, plan details, usage, and billing.
Findability.AI also analyzed unstructured content for chat bots and emails and accounted for reported malfunctions/defects while predicting churn.
Success Stories
THE PROBLEM
A global multimedia and creativity software company wanted to determine retention propensity for retail consumers who had contacted their call center with intention to cancel subscription.
THE SOLUTION
Customer tenure and product subscription history was analyzed using a self-learning, multi-modeling prediction technology from Findability.AI.
The proprietary algorithm ingested historical data to develop multiple prediction models to account for all possible scenarios in the dataset.
- Add interactive lead-generation touchpoints to your digital properties and enable 24X7 customer support with intelligent virtual agents powered by artificial intelligence.
- Our chatbots are capable of true NLP and NLU (Natural Language Processing & Understanding), allowing them to deliver engaging conversation experiences.
- Findability Sciences chatbots can automate up to 30% of query management by handling FAQs and other routine questions. They also process basic service requests and provide multilingual support for better end-customer experiences.
Success Stories
THE PROBLEM
One of the fastest growing insurance firms in India with 121 offices across the country.
The company was losing business opportunities due to growing number of queries and delays in response times.
THE SOLUTION
An interactive AI solution was developed using proprietary cognitive technology from Findability.AI and IBM Watson® Assistant APIs.
An AI powered chatbot ‘Alisha’ runs on natural language processing (NLP) based on conversational AI system.
- Rank and order all the occurrences in a dataset for events such as lead conversion, customer churn, default, or fraud using the AI-powered propensity prediction technology from Findability Sciences.
- Multi-modeling technology accounts for multiple trends within the training datasets to produce highly accurate propensity ranking scores
Success Stories
Findability Sciences’ AI model helped Alliance One achieve a 40% ROI
Alliance one achieved 20-30% year-over-year uplift in collections consistently over a period of two years, resulting in a 40% financial ROI for 2021. Findability Sciences helped them formulate an AI-based propensity score model to prioritize and call the most likely payers first. This partnership resulted in increased revenue for Alliance One and measurable financial impact for their customers.
Success Stories
THE PROBLEM
A global debt collections agency wanted to improve payout rate of overdue invoices for its stores in the US.
The client wanted to improve upon the existing dues collection rate (24%) through a renewed debtor contact strategy.
THE SOLUTION
We proposed an operational strategy of ranking each invoice across a debt prioritization matrix based on the outstanding invoice amount and probability of payout.
A proprietary self-learning, multi-modeling automatic predictive technology from FIndability.AI was used for obtaining probability of payout.
Success Stories
THE PROBLEM
Global accounts receivable management company wanted to optimize the collection of overdue balance from loyalty program members.
Around 25000 customers accrue a cumulative debt between 40-45 million USD in overdue payments every year.
THE SOLUTION
A proprietary self-learning, multi-modeling automatic predictive technology from FIndability.AI was used to assign a ‘Propensity to Pay’ score to each record in the debt portfolio.
The debt portfolio was divided into 7 ‘age buckets’ defined by the debt collection partner.
Success Stories
THE PROBLEM
Due to increasing competition, it is necessary for telecom carriers to maximize dues recovery as well as expand their subscriber base.
A balance between soft action like sending reminders and hard action like discontinuing the service is important for collection teams.
THE SOLUTION
‘Propensity to Pay’ was calculated using a proprietary self-learning, multi-modeling automatic predictive technology from FIndability.AI.
Overdue accounts were divided into deciles based on the decreasing order of ‘Propensity to Pay’. The accounts were also monitored for inter-decile shifts and to detect steep changes in propensity to pay if any.
Success Stories
THE PROBLEM
Defaults in retail loans and resultant charge offs are an important cause of credit costs in banking.
Along with dealing with loan defaults at portfolio level, it is also important to identify the individual loans at higher risk of default to effectively target credit risk mitigation efforts.
THE SOLUTION
A proprietary self-learning, multi-modeling automatic predictive technology from FIndability.AI was used to divide the loan records into deciles based on their likelihood to default.
The proprietary algorithm ingested historical data to develop multiple prediction models to account for all possible scenarios in the dataset.
Our AI-powered forecasting tools can greatly benefit financial services enterprises in managing risks associated with capital management, asset health, and liability pricing. By providing accurate forecasts with over 90% accuracy at the product level, these tools enable banks and other financial institutions to make smarter decisions and optimize their pricing strategies. This not only improves efficiency but also enhances profitability, making it an essential tool for financial services enterprises to better manage risk and stay ahead in the highly competitive industry.
- Recommend price points that maximize the likelihood of transaction win rates to optimize revenue without compromising profit margins.
- Machine learning technology from Findability Sciences considers historical revenue, quantity and price points, deal win rates and forecasted demand to recommend ideal price points.
- Our proprietary, AI-powered summarization technology saves significant time and effort on information retrieval from research articles, reports, news, and book chapters.
- Key takeaways are identified by computing the ‘relevance score’ for each sentence based on its contextual relationship with the remaining text.
- Document parsing and keywords analysis are used to extract specific elements such as headers, tables, and diagrams.
- The AI-powered summaries ensure that your content is always accurate, consistent, and of the highest quality. Our technology can be integrated with enterprise software as well as firmware (such as scanners) to create productivity enhancement solutions.
- Increase upsell, cross-sell, and audience engagement with AI-powered recommender systems from Findability Sciences.
- Stay ahead of the competition by offering personalized customer experiences based on relevant suggestions.
- Leveraging data about past purchases, browsing history and preferences, to generate tailored recommendations which resonate with each customer, increasing the likelihood of a purchase.
- Governance, Risk & Compliance
- Data Logistics
- Data Modernization
- SAP Focused Services
Governance, Risk & Compliance
Findability Sciences helps customers cut through the biggest challenges in GRC, namely poor quality of reporting data, lack of automation, absence of an aggregated view of risk and lack of skills and expertise for executing projects.
Key Offerings Outlined
- Findability Sciences helps clients optimize their use of GRC platforms such as IBM® OpenPages, Servicenow, and MetricStream by supplementing them with proprietary tools for NLP and Predictive AI (Findability.AI), and the trademarked CUPPTM
- Clients can maintain better quality of data by leveraging the Wide Data framework, resulting in better predictability of the risk and compliance reporting.
- Our skilled team of GRC experts are trained and certified in the use of third-party products such as IBM® OpenPages and Servicenow. Their strong background in data science, automation and analytics helps our clients implement and deliver GRC solutions on time and delivering measurable business Outcomes.
- Findability Sciences works both with pre-configured GRC systems and provide customized integration services for third-party applications.
- We help clients automate dashboards and reports in their GRC application of choice.
- Clients can also benefit from testing and performance monitoring services for their GRC installations. Our custom-built, conversational AI based regulatory reporting can simplify the reviewing of GRC data by leadership.
Success Stories
THE PROBLEM
• Multiple Data Sources which were mostly internal and not leveraging External Data Source
• Risk and compliance operations were managed via spreadsheets and manual reporting
• Lacked Timely Response both for internal Audits and Franchisee locations.
THE SOLUTION
• Implemented the Findability Sciences Wide Data to integrate Internal & External Data
• GRC tool for Audit and Compliance landscape that Automated the process.
• Hybrid Solution that had both Cloud and On Prem Access
Success Stories
THE PROBLEM
• Data definition and governance issues that have been impacting the availability of data for analysis and insight.
• Business Units and Data Generated in multiple continents with unique local governance and compliance needs
THE SOLUTION
• Implemented the FS CUPPTM Framework for Collection, Unification, Processing and Presentation of Data
• Integration of Data from large ERP & CRM Systems using FS ERP MAX
Success Stories
THE PROBLEM
• Culture of Risk not shared clearly among all the divisions and users.
• No clear Communication of Risks and Events across different stake holders.
• No real-time view of relationships between risks, controls and issues across the company
THE SOLUTION
• Built on IBM Open Pages modules used OpRisk, Policy & Compliance
• Integration of Data from internal 7 external sources using FS’s Wide Data concept
• On the Cloud
Success Stories
THE PROBLEM
• Current risk operations were managed via spreadsheets, with
reports created manually.
• Lack of timely response to the business and regulators, nor had a
total view of risk exposure across the enterprise.
THE SOLUTION
• Findability AI resolved compliance challenges with their OpenPages solution, featuring OpRisk and Policy & Compliance modules accessible on the cloud.
Data Logistics
Customizable services to ensure that the client’s data is well organized, secure, and seamlessly retrievable by key business and analytics applications.
Key Offerings Outlined
- ‘Wide Data’ is a framework for building comprehensive data foundation by collecting and unifying a large variety of structured and unstructured data from internal and external sources.
- Characterized by the 3 Vs – Variety, Velocity and Veracity – Wide Data serves as an effective starting point for a 360° analysis of leading indicators.
- By leveraging Wide Data, enterprises can account for external dependencies (macroeconomic factors, holiday calendar, weather phenomena, etc.) while training the AI/ML applications.
- Collecting wide data requires a variety of techniques, including but not limited to APIs, ETL, keywords extraction, speech-to-text, web scraping, and image annotation. Findability Sciences offers the necessary skills, methods, and tools to build robust pipelines for secure data collection.
- Wide Data delivers a distinct advantage in terms of identifying specific information and insights from individual data components.
- Findability Sciences delivers a unified and consistent view of enterprise data by contextually combining multiple sources.
- Unstructured content from documents, emails, audios, images, and videos is processed using NLP (natural language processing) and Computer Vision to obtain structured data for training AI/ML algorithms.
- Missing or ‘bad’ data is treated, multiple formats are reconciled, and an AI-ready dataset is produced after schema integration and entity resolution.
- Data Unification forms an integral part of CUPPTM – our proprietary framework for AI solution development. CUPPTM stands for Collection, Unification, Processing & Presentation.
- Enterprise customers rely on Findability Sciences to manage the key phases of their data pipeline, from collection to processing to storage to access.
- Our data census and information architecture services provide detailed views of the organization’s data-scape (internal, external & third party) and help design secure pathways for relaying data to-and-fro from AI, analytics, and business applications.
Data Modernization
A strategic initiative that brings to enterprise clients, the latest innovations in data architecture and database technologies.
Key Offerings Outlined
- Findability Sciences offers all the technology, skills, and expertise necessary for enabling enterprise migration to modern, cloud-based data storage solutions capable of supporting AI/ML operations.
- Seamless migration achieved through a comprehensive range of services: performance tuning, system health checks and monitoring, data backup & restoration, data purging policy implementation, data reclamation, workload management and user management.
- Our global team of certified ETL engineers and Data Scientists is proficient in Data Cloud technologies such as IBM® Integrated Analytics System (IIAS), EnterpriseDB, SAP® HANA, and Snowflake®
- We are currently offering an extended support service for all four models of Netezza/IBM PureData appliances, that have reached or are approaching EOS (end-of-support) dates. With our expert support, customers can continue to use their Netezza appliances without disruption.
- The ‘Data Lake’ is a modern form of storage where data is ingested and retained in the ‘native’ form to support speedy and complex analytics operations.
- Findability Sciences can help set up Data Lakes in Snowflake®, SAP® Hana, EnterpriseDB, Amazon Redshift, db2, Netezza® and IIAS, to organize highly voluminous and diverse data from multiple sources.
- Realize higher efficiencies and improve process throughput with AI-led automation solutions from Findability Sciences.
- Our proprietary multi-modeling prediction & forecasting technology is available as a plug-and-play workflow for Robotic Process Automation products.
- In-house automation experts and tools provide frameworks and implementation support for leading platforms such as Microsoft® Power Automate, Automation Anywhere, and SAP®. Our tools enable intelligent automation for key enterprise functions such as HR & Payroll Management, Audit Reporting, and Scheduling.
SAP Focused Services
This cost-effective game changer integrates all services with Findability’s AI tools to facilitate app modernization and transformation, into SAP’s S/4 HANA. This digitally empowers the enterprise to deliver actionable indicators such as better user experience, improved performance, and reduced total cost of ownership.
Key Offerings Outlined
At Findability Sciences, we understand the importance of optimizing SAP processes to ensure the long-term success of our clients’ businesses. Our approach to SAP services involves a comprehensive analysis of business requirements, the current SAP landscape, and the IT landscape to identify areas for improvement. We offer 24×7 support services, and provide SAP resources to work on-site and offshore. Additionally, we help establish a center of excellence for SAP to ensure the efficient management of SAP processes. Our goal is to facilitate a successful digital transformation of enterprise architecture by developing a roadmap that maximizes efficiency, reduces costs, and positions organizations for growth.
At Findability Sciences, we specialize in providing comprehensive SAP analysis and advisory services to help organizations achieve successful digital transformations. Our team of experts carefully assesses your business requirements, current SAP and IT landscapes, and identifies areas for improvement in existing processes and third-party applications. Our advisory and guidance service helps you develop and execute a roadmap for digital transformation, utilizing SAP technologies and other tools to streamline operations, reduce costs, and optimize growth potential. By partnering with Findability Sciences, you gain a clear understanding of your enterprise architecture and leverage expert guidance to achieve your long-term goals.
Findability Sciences offers comprehensive SAP-related services, including 24×7 support to ensure uninterrupted system functionality. Their team of SAP experts is available both on-site and offshore to provide resources for all SAP-related needs. Additionally, they can help businesses establish a centre of excellence for SAP, creating a standardized approach and providing the necessary training and documentation to enable businesses to get the most out of their SAP investments. Findability Sciences’ commitment to quality and reliability makes them an ideal partner for businesses looking to maximize the potential of their SAP systems.
Findability Sciences helps customers cut through the biggest challenges in GRC, namely poor quality of reporting data, lack of automation, absence of an aggregated view of risk and lack of skills and expertise for executing projects.
Key Offerings Outlined
- Findability Sciences helps clients optimize their use of GRC platforms such as IBM® OpenPages, Servicenow, and MetricStream by supplementing them with proprietary tools for NLP and Predictive AI (Findability.AI), and the trademarked CUPPTM
- Clients can maintain better quality of data by leveraging the Wide Data framework, resulting in better predictability of the risk and compliance reporting.
- Our skilled team of GRC experts are trained and certified in the use of third-party products such as IBM® OpenPages and Servicenow. Their strong background in data science, automation and analytics helps our clients implement and deliver GRC solutions on time and delivering measurable business Outcomes.
- Findability Sciences works both with pre-configured GRC systems and provide customized integration services for third-party applications.
- We help clients automate dashboards and reports in their GRC application of choice.
- Clients can also benefit from testing and performance monitoring services for their GRC installations. Our custom-built, conversational AI based regulatory reporting can simplify the reviewing of GRC data by leadership.
Success Stories
THE PROBLEM
• Multiple Data Sources which were mostly internal and not leveraging External Data Source
• Risk and compliance operations were managed via spreadsheets and manual reporting
• Lacked Timely Response both for internal Audits and Franchisee locations.
THE SOLUTION
• Implemented the Findability Sciences Wide Data to integrate Internal & External Data
• GRC tool for Audit and Compliance landscape that Automated the process.
• Hybrid Solution that had both Cloud and On Prem Access
Success Stories
THE PROBLEM
• Data definition and governance issues that have been impacting the availability of data for analysis and insight.
• Business Units and Data Generated in multiple continents with unique local governance and compliance needs
THE SOLUTION
• Implemented the FS CUPPTM Framework for Collection, Unification, Processing and Presentation of Data
• Integration of Data from large ERP & CRM Systems using FS ERP MAX
Success Stories
THE PROBLEM
• Culture of Risk not shared clearly among all the divisions and users.
• No clear Communication of Risks and Events across different stake holders.
• No real-time view of relationships between risks, controls and issues across the company
THE SOLUTION
• Built on IBM Open Pages modules used OpRisk, Policy & Compliance
• Integration of Data from internal 7 external sources using FS’s Wide Data concept
• On the Cloud
Success Stories
THE PROBLEM
• Current risk operations were managed via spreadsheets, with
reports created manually.
• Lack of timely response to the business and regulators, nor had a
total view of risk exposure across the enterprise.
THE SOLUTION
• Findability AI resolved compliance challenges with their OpenPages solution, featuring OpRisk and Policy & Compliance modules accessible on the cloud.
Customizable services to ensure that the client’s data is well organized, secure, and seamlessly retrievable by key business and analytics applications.
Key Offerings Outlined
- ‘Wide Data’ is a framework for building comprehensive data foundation by collecting and unifying a large variety of structured and unstructured data from internal and external sources.
- Characterized by the 3 Vs – Variety, Velocity and Veracity – Wide Data serves as an effective starting point for a 360° analysis of leading indicators.
- By leveraging Wide Data, enterprises can account for external dependencies (macroeconomic factors, holiday calendar, weather phenomena, etc.) while training the AI/ML applications.
- Collecting wide data requires a variety of techniques, including but not limited to APIs, ETL, keywords extraction, speech-to-text, web scraping, and image annotation. Findability Sciences offers the necessary skills, methods, and tools to build robust pipelines for secure data collection.
- Wide Data delivers a distinct advantage in terms of identifying specific information and insights from individual data components.
- Findability Sciences delivers a unified and consistent view of enterprise data by contextually combining multiple sources.
- Unstructured content from documents, emails, audios, images, and videos is processed using NLP (natural language processing) and Computer Vision to obtain structured data for training AI/ML algorithms.
- Missing or ‘bad’ data is treated, multiple formats are reconciled, and an AI-ready dataset is produced after schema integration and entity resolution.
- Data Unification forms an integral part of CUPPTM – our proprietary framework for AI solution development. CUPPTM stands for Collection, Unification, Processing & Presentation.
- Enterprise customers rely on Findability Sciences to manage the key phases of their data pipeline, from collection to processing to storage to access.
- Our data census and information architecture services provide detailed views of the organization’s data-scape (internal, external & third party) and help design secure pathways for relaying data to-and-fro from AI, analytics, and business applications.
A strategic initiative that brings to enterprise clients, the latest innovations in data architecture and database technologies.
Key Offerings Outlined
- Findability Sciences offers all the technology, skills, and expertise necessary for enabling enterprise migration to modern, cloud-based data storage solutions capable of supporting AI/ML operations.
- Seamless migration achieved through a comprehensive range of services: performance tuning, system health checks and monitoring, data backup & restoration, data purging policy implementation, data reclamation, workload management and user management.
- Our global team of certified ETL engineers and Data Scientists is proficient in Data Cloud technologies such as IBM® Integrated Analytics System (IIAS), EnterpriseDB, SAP® HANA, and Snowflake®
- We are currently offering an extended support service for all four models of Netezza/IBM PureData appliances, that have reached or are approaching EOS (end-of-support) dates. With our expert support, customers can continue to use their Netezza appliances without disruption.
- The ‘Data Lake’ is a modern form of storage where data is ingested and retained in the ‘native’ form to support speedy and complex analytics operations.
- Findability Sciences can help set up Data Lakes in Snowflake®, SAP® Hana, EnterpriseDB, Amazon Redshift, db2, Netezza® and IIAS, to organize highly voluminous and diverse data from multiple sources.
- Realize higher efficiencies and improve process throughput with AI-led automation solutions from Findability Sciences.
- Our proprietary multi-modeling prediction & forecasting technology is available as a plug-and-play workflow for Robotic Process Automation products.
- In-house automation experts and tools provide frameworks and implementation support for leading platforms such as Microsoft® Power Automate, Automation Anywhere, and SAP®. Our tools enable intelligent automation for key enterprise functions such as HR & Payroll Management, Audit Reporting, and Scheduling.
This cost-effective game changer integrates all services with Findability’s AI tools to facilitate app modernization and transformation, into SAP’s S/4 HANA. This digitally empowers the enterprise to deliver actionable indicators such as better user experience, improved performance, and reduced total cost of ownership.
Key Offerings Outlined
At Findability Sciences, we understand the importance of optimizing SAP processes to ensure the long-term success of our clients’ businesses. Our approach to SAP services involves a comprehensive analysis of business requirements, the current SAP landscape, and the IT landscape to identify areas for improvement. We offer 24×7 support services, and provide SAP resources to work on-site and offshore. Additionally, we help establish a center of excellence for SAP to ensure the efficient management of SAP processes. Our goal is to facilitate a successful digital transformation of enterprise architecture by developing a roadmap that maximizes efficiency, reduces costs, and positions organizations for growth.
At Findability Sciences, we specialize in providing comprehensive SAP analysis and advisory services to help organizations achieve successful digital transformations. Our team of experts carefully assesses your business requirements, current SAP and IT landscapes, and identifies areas for improvement in existing processes and third-party applications. Our advisory and guidance service helps you develop and execute a roadmap for digital transformation, utilizing SAP technologies and other tools to streamline operations, reduce costs, and optimize growth potential. By partnering with Findability Sciences, you gain a clear understanding of your enterprise architecture and leverage expert guidance to achieve your long-term goals.
Findability Sciences offers comprehensive SAP-related services, including 24×7 support to ensure uninterrupted system functionality. Their team of SAP experts is available both on-site and offshore to provide resources for all SAP-related needs. Additionally, they can help businesses establish a centre of excellence for SAP, creating a standardized approach and providing the necessary training and documentation to enable businesses to get the most out of their SAP investments. Findability Sciences’ commitment to quality and reliability makes them an ideal partner for businesses looking to maximize the potential of their SAP systems.