Application Services


Rich platform services that allow us to build enterprise class solutions faster. Key functionality includes service bus, search, caching, queuing, notifications, workflow, rules, and identity and access management services.


Application Services


This consists of rich platform services that allow us to build solutions faster. Key functionality includes service bus, search, caching, queuing, notifications, workflow, rules, and identity and access management services. This set of services provides us the fundamental platform to develop, run and manage applications without the complexity of acquiring, integrating, and maintaining unique infrastructure for each customer solution. By using these services we can create applications that meet enterprise scalability and security requirements and understand exactly how they will perform. We make sure the application services we use in our solutions work well together, so you don't have to find, customize, wire together and test an assortment of disparate components. We also ensure that the services we use provide you capabilities that users expect like robust search, notification, and complex workflow and rules functionality. This integrated set of services allows for the rapid creation of very sophisticated solutions bringing you value faster.



Analytics and Visualization


Includes responsive user interface technology to create applications that work anywhere, and modern interactive dashboards that allow users to discover and analyze data.


Analytics and Visualization


Includes responsive user interface technology, and modern interactive dashboards that allow users to discover and analyze data. Our visualization building block consists of a platform that simplifies preparing and blending any data and includes a spectrum of tools to easily analyze, visualize, explore, report and predict. We also provide big data analytics tools to extract, prepare and blend your data, plus the visualizations and analytics that will change the way you run your business. This modern, simplified and interactive approach empowers business users to access, discover and blend all types and sizes of data. With a spectrum of increasingly advanced analytics, from basic reports to predictive modeling, users can analyze and visualize data across multiple dimensions. At the same time, a true designed-for-mobile experience ensures users are productive no matter where they are.



Cognitive


Systems designed to extend what humans and machines can do on their own. These building blocks contain the capability for machines to seek out, identify, extract and update information from a wide variety of sources.


Cognitive

 

Kingland is re-shaping how data-intensive companies identify, extract, update, and take on the industry's most complex challenges around data.

Our machine learning solution navigates a sea of unstructured and structured data, reading various types of documents and selecting the data needed for our client's specific needs. 

As the engine powering The Platform, the machine learning component melds the comprehension and knowledge of the human brain with the speed and efficiency of machines. Clients get an automated solution that can quickly identify patterns and trends so your teams can take advantage of the massive amounts of structured and unstructured data in the organization. 

This is accomplished through means such as statistical pattern learning, text categorization, text clustering, concept/entity extraction, natural langauge processing, production of granular taxonomies, sentiment analysis, document summarization, and entity relation modeling. 

At Kingland, we're committed to creating automated solutions that are equipped to handle tomorrow's challenges and improve business processes and decision making. 

Application Services


This consists of rich platform services that allow us to build solutions faster. Key functionality includes service bus, search, caching, queuing, notifications, workflow, rules, and identity and access management services. This set of services provides us the fundamental platform to develop, run and manage applications without the complexity of acquiring, integrating, and maintaining unique infrastructure for each customer solution. By using these services we can create applications that meet enterprise scalability and security requirements and understand exactly how they will perform. We make sure the application services we use in our solutions work well together, so you don't have to find, customize, wire together and test an assortment of disparate components. We also ensure that the services we use provide you capabilities that users expect like robust search, notification, and complex workflow and rules functionality. This integrated set of services allows for the rapid creation of very sophisticated solutions bringing you value faster.

Analytics and Visualization


Includes responsive user interface technology, and modern interactive dashboards that allow users to discover and analyze data. Our visualization building block consists of a platform that simplifies preparing and blending any data and includes a spectrum of tools to easily analyze, visualize, explore, report and predict. We also provide big data analytics tools to extract, prepare and blend your data, plus the visualizations and analytics that will change the way you run your business. This modern, simplified and interactive approach empowers business users to access, discover and blend all types and sizes of data. With a spectrum of increasingly advanced analytics, from basic reports to predictive modeling, users can analyze and visualize data across multiple dimensions. At the same time, a true designed-for-mobile experience ensures users are productive no matter where they are.

Cognitive

 

Kingland is re-shaping how data-intensive companies identify, extract, update, and take on the industry's most complex challenges around data.

Our machine learning solution navigates a sea of unstructured and structured data, reading various types of documents and selecting the data needed for our client's specific needs. 

As the engine powering The Platform, the machine learning component melds the comprehension and knowledge of the human brain with the speed and efficiency of machines. Clients get an automated solution that can quickly identify patterns and trends so your teams can take advantage of the massive amounts of structured and unstructured data in the organization. 

This is accomplished through means such as statistical pattern learning, text categorization, text clustering, concept/entity extraction, natural langauge processing, production of granular taxonomies, sentiment analysis, document summarization, and entity relation modeling. 

At Kingland, we're committed to creating automated solutions that are equipped to handle tomorrow's challenges and improve business processes and decision making. 



Data Integration


Data must be moved to and from legacy upstream and downstream systems. This component contains the on and off ramps with extract, transform and load software optimized to handle all types and sizes of files and service layers.


Data Integration


Data must be moved to and from legacy upstream and downstream systems. This component contains the on and off ramps with extract, transform and load software optimized to handle all types and sizes of files and service layers. We have built hundreds of feed handlers to help you blend, enrich and refine any data source onto our solution platform. We also have a variety of methods for your enterprise systems to consume data - ranging from customized file-based solutions to services that allow you to use Open APIs such as Soap, Rest and Streaming. Our experience moving data to and from all the major financial services firms over the last 25 years has allowed us to build a very rich set of data integration services that we use to create solutions.



Data Governance


The critical building blocks to higher quality data. This includes master data management functionality with built-in data quality algorithms. Stewardship tooling that allows data stewards to monitor and adjudicate critical changes that are occurring in your reference data.


Data Governance


The critical building blocks to higher quality data. This is based on master data management functionality with built-in data quality algorithms including probabilistic and deterministic matching, record consolidation and quality metrics. Not just a single view of data, but an approach that allows data to be broken down into a series of practices. We view master data management (MDM) simply - integrate, master, distribute. This approach allows data to be broken down into a series of practices, allowing for data management, improved quality, and data governance implementation. We have also built in stewardship tooling that allows the creation of specific rules and workflow so that data stewards can efficiently adjudicate difficult or high-risk conflicts in the data and monitor and report on data quality trends. Our data governance MDM building block is optimized for financial securities master, contract and legal agreement, legal entity, and natural person data domains.



Application Deployment and Management


The ability to automatically build, deploy and manage software and operating environments. We provide a framework and experience running highly automated DevOps environments.


Application Deployment and Management


The ability to automatically build, deploy and manage the software to an operating environment. We provide a framework and experience in running a highly automated DevOps environment. This building block enables us to create applications that can utilize a unified hybrid cloud running on Kingland's private cloud, the major public cloud providers (Microsoft Azure, Amazon AWS and IBM Softlayer), your private cloud or any combination of these options. We utilize a software driven data center approach with a single pane of glass management, one-touch application and environment provisioning, continuous integration and deployment, and configuration management. Utilizing industry leading tools like Ansible and Puppet for configuration management, Gradle and Jenkins for automated build and code testing, and VMWare for the software defined data center, gives our solutions the ability for continues build, deploy and run anywhere flexibility.

Data Integration


Data must be moved to and from legacy upstream and downstream systems. This component contains the on and off ramps with extract, transform and load software optimized to handle all types and sizes of files and service layers. We have built hundreds of feed handlers to help you blend, enrich and refine any data source onto our solution platform. We also have a variety of methods for your enterprise systems to consume data - ranging from customized file-based solutions to services that allow you to use Open APIs such as Soap, Rest and Streaming. Our experience moving data to and from all the major financial services firms over the last 25 years has allowed us to build a very rich set of data integration services that we use to create solutions.

Data Governance


The critical building blocks to higher quality data. This is based on master data management functionality with built-in data quality algorithms including probabilistic and deterministic matching, record consolidation and quality metrics. Not just a single view of data, but an approach that allows data to be broken down into a series of practices. We view master data management (MDM) simply - integrate, master, distribute. This approach allows data to be broken down into a series of practices, allowing for data management, improved quality, and data governance implementation. We have also built in stewardship tooling that allows the creation of specific rules and workflow so that data stewards can efficiently adjudicate difficult or high-risk conflicts in the data and monitor and report on data quality trends. Our data governance MDM building block is optimized for financial securities master, contract and legal agreement, legal entity, and natural person data domains.

Application Deployment and Management


The ability to automatically build, deploy and manage the software to an operating environment. We provide a framework and experience in running a highly automated DevOps environment. This building block enables us to create applications that can utilize a unified hybrid cloud running on Kingland's private cloud, the major public cloud providers (Microsoft Azure, Amazon AWS and IBM Softlayer), your private cloud or any combination of these options. We utilize a software driven data center approach with a single pane of glass management, one-touch application and environment provisioning, continuous integration and deployment, and configuration management. Utilizing industry leading tools like Ansible and Puppet for configuration management, Gradle and Jenkins for automated build and code testing, and VMWare for the software defined data center, gives our solutions the ability for continues build, deploy and run anywhere flexibility.



Data


4 million+ global securities with 5.25 million unique identifiers and over 2 million legal entities with corporate hierarchies. A rich "regulatory grade" data set to prime a new solution or to improve your reference data set.


Data


We have been building and maintaining "regulatory grade" data sets for customers for over 15 years. These data sets are built upon Kingland's Master File data set of over 4 million global securities with 5.25 million unique identifiers and over 2 million legal entities with corporate hierarchies. We also operate the Legal Entity Identifer ("LEI") utility known as GMEI for DTCC and Swift which is the largest LEI utility in the world. This experience combined with our master data management and cognitive software building blocks allow us to build, deliver and maintain the most comprehensive data assets in the world to our clients that require "regulatory grade" data.

Data


We have been building and maintaining "regulatory grade" data sets for customers for over 15 years. These data sets are built upon Kingland's Master File data set of over 4 million global securities with 5.25 million unique identifiers and over 2 million legal entities with corporate hierarchies. We also operate the Legal Entity Identifer ("LEI") utility known as GMEI for DTCC and Swift which is the largest LEI utility in the world. This experience combined with our master data management and cognitive software building blocks allow us to build, deliver and maintain the most comprehensive data assets in the world to our clients that require "regulatory grade" data.

Analytics and Visualization


Includes responsive user interface technology, and modern interactive dashboards that allow users to discover and analyze data. Our visualization building block consists of a platform that simplifies preparing and blending any data and includes a spectrum of tools to easily analyze, visualize, explore, report and predict. We also provide big data analytics tools to extract, prepare and blend your data, plus the visualizations and analytics that will change the way you run your business. This modern, simplified and interactive approach empowers business users to access, discover and blend all types and sizes of data. With a spectrum of increasingly advanced analytics, from basic reports to predictive modeling, users can analyze and visualize data across multiple dimensions. At the same time, a true designed-for-mobile experience ensures users are productive no matter where they are.

Cognitive


Systems that we have designed to extend what humans and machines can do on their own. These building blocks contain the capability for machines to seek out, identify, extract and update information that is important to our clients working with humans or completely automatically. This is done by identifying and using patterns and trends through means such as statistical pattern learning, text categorization, text clustering, concept/entity extraction, production of granular taxonomies, sentiment analysis, document summarization, and entity relation modeling. From a function perspective, we can:

  • Extract or harvest data from many types of documents and sources.
  • Automatically classify entities.
  • Automate exception processing and data stewardship.
  • Look at more than 42,000 sources for reference data and events.