Smart Innovators: Industrial Data Management Solutions
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Executive Summary
Data represents reality, but is not reality itself. It consists of symbols and numbers used to convey information, but is not the information itself. As a human-made construct, data is often manipulated and transformed to serve a specific purpose, which can compromise its authenticity or accuracy. Without proper processes in place to manage access, track transformations and provide context to human operators, the unstoppable universal truth of increasing entropy will begin to introduce bias and error into the data, further distorting its representation of reality. To aid customers in navigating the complex and rapidly evolving field of industrial data management, this report examines the capabilities of 20 vendors offering industry-specific DataOps, data hub and data analytics solutions. In addition, it highlights the data management priorities of industrial firms, considering what software capabilities exist to address real-world needs and how these can be combined to provide a best-fit solution. C-Suite executives, enterprise data science teams and operations managers should consider the solutions discussed in this report to support industrial data strategy.
Table of contents
Data Is Most Valuable When In-Formation, And Information Is An Unnatural StateIndustrial Operations Are More Data-Driven Than Ever
Data Management Is An Increasing Priority For Industrial Firms
Introducing The Industrial Data Management Solutions Market
Solutions For Industrial Data Management Comprise Three Segments
Industrial Data Management Solutions Enable Scalable, Secure, Inter-Asset Data Flow
Industrial Data Management Solutions Have 10 Key Capabilities
Customers Must Develop Vision And Strategy Before Beginning Their Data Management Journey
Vendors Should Expand Data Acquisition Towards Varied, External Sources
Table of figures
Figure 1. Data Management Priorities For 2023Figure 2. Industry Coverage For Industrial Data Management Solutions Providers
Figure 3. The Landscape Of Data Hubs, DataOps Platforms And Data Analytics Software
Figure 4. Industrial DataOps Platforms Orchestrate People, Assets, Processes And Technology
Figure 5. Capabilities Criteria For Industrial Data Management Solutions
Figure 6. Vendor Capabilities: Industrial Data Management Solutions
Organisations mentioned
3d Signals, Accenture, AccuRounds, Allen-Bradley, Arkema, AspenTech, Augury, AVEVA, BASF, C3 AI, Celanese, Chevron Phillips Chemical, Cognite, Colonial Pipeline, DataProphet, deepset, Element Analytics, Etalab, Google, HENN, HighByte, Hitachi Vantara, Honeywell, IBM, inmation, MachineMetrics, Mars, Microsoft, Morgan Stanley, OpenAI, Pacific Gas & Electric (PG&E), Palantir, PTC, Seeq, Siemens, Skkynet, SLB (formerly Schlumberger), Software AG, SparkCognition, SymphonyAI Industrial, Teel Plastics, TEPSYS, Trendminer, Uptake, US Securities and Exchange Commission (SEC), Viewport.ai, Yokogawa RAP, YuzeDataAbout the authors
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