Objectivity
Overview
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HQ Location
United States
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Year Founded
1988
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Company Type
Private
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Revenue
< $10m
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Employees
51 - 200
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Website
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Twitter Handle
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Company Description
Objectivity, Inc. delivers massively scalable and highly performant graph analytics platforms that are proven to power mission-critical applications for the most demanding and complex datasets. With a rich history of serving Global 1000 customers and partners, Objectivity holds deep domain expertise in fusing vital information from massive volumes of data and sources to discover unknown connections at speed and scale.
IoT Snapshot
Objectivity is a provider of Industrial IoT infrastructure as a service (iaas), platform as a service (paas), application infrastructure and middleware, analytics and modeling, functional applications, and sensors technologies, and also active in the equipment and machinery, and finance and insurance industries.
Technologies
Use Cases
Functional Areas
Industries
Services
Technology Stack
Objectivity’s Technology Stack maps Objectivity’s participation in the infrastructure as a service (iaas), platform as a service (paas), application infrastructure and middleware, analytics and modeling, functional applications, and sensors IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
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Case Studies.
Case Study
Siemens Industry: Manufacturing, Process Control & Automation
Building control systems have traditionally managed heating, ventilation and air conditioning (HVAC) separately from other systems. Siemens Industry, Inc., envisioned a greater sophistication: Why not build a control system that would co-ordinate all these variables, as well as monitor building humidity, fire alarms, door locks, security, lighting and other building features, all while collecting historical data and storing network configuration information?
Case Study
Assessing an Innovative Data Warehouse Technology for EFL
Knowing the importance of flawless data architecture in the finance industry, EFL was considering multiple options to upgrade its data warehouse. This system lies at the center of their operations and plays a crucial role in allowing them to provide the highest quality services to their numerous customers. One of the possibilities they were investigating was a full migration to an innovative data warehouse solution — Snowflake. It was crucial for them to get an independent expert opinion and not rely purely on the data and materials provided by the vendor. Objectivity was selected as a result of successful collaboration between the two organizations on multiple occasions in the past.
Case Study
Enterprise Architecture Audit
The architecture owner had an urgent requirement to understand whether the existing enterprise architecture was fit for purpose, both in the short term and for the longer term.Tonik’s business and growth plans required an environment that was simple, easily expandable, clearly understood, maintainable and supportable.The environment was largely cloud-based, using modern development frameworks and technologies, however, there were some significant gaps in knowledge and documentation, and a lack of consistency in the service delivery and change management processes.
Case Study
Enhancing a Multi-site Paint Mixing System
The Client needed a reliable partner to provide baseline support and continuous improvements to this business-critical system.When approaching Objectivity, the Client was using a bespoke application delivered by a third-party vendor. In addition to maintaining and supporting the solution, the primary goal of the project was to make the system more user-friendly for non-technical users. The Client wanted to automate this process as well as reduce the solution’s technical debt, which was slowing down paint production. Moreover, the existing desktop app had compatibility issues with the new version of the Microsoft operating system.
Case Study
Digitally Transforming Paper-based Processes
The client is a major airline that provides services to millions of passengers and cooperates with numerous business partners. Their ground handling office processes over 10 000 invoices a month. The invoices are delivered by nearly 600 independent companies and contractors. Processing such an extensive number of varied documents is time-consuming and requires involving multiple people and teams. It also delays the analysis of the data and any actions that should be taken as a result, while rendering the entire process error-prone.The client wanted to explore the possibilities for optimizing this process.
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Neo4j is the graph company behind the #1 platform for connected data. The Neo4j graph platform helps organizations make sense of their data by revealing how people, processes and digital systems are interrelated. This connections-first approach powers intelligent applications tackling challenges such as Artificial Intelligence, fraud detection, real-time recommendations and master data. The company boasts the world's largest dedicated investment in native graph technology, has amassed more than ten million downloads, and has a huge developer community deploying graph applications around the globe. More than 250 commercial customers, including global enterprises like Walmart, Comcast, Cisco, eBay and UBS use Neo4j to create a competitive advantage from connections in their data. Neo4j is privately held and funded by Eight Roads Ventures (an investment arm of Fidelity International Limited), Sunstone Capital, Conor Venture Partners, Creandum, Dawn Capital and Greenbridge Investment Partners. Headquartered in San Mateo, Calif., Neo4j has regional offices in Sweden, Germany and the UK. For more information, please visit Neo4j.com and @Neo4j. All trademarks and registered trademarks, including Neo4j? are the property of their respective owners.
