Maana customers can achieve their digital transformation goals within two years. Below are examples of digital transformation initiatives implemented by Maana customers.

oil-corrosion

This global Fortune 10 company wanted to reduce risks from equipment failures (such as unplanned downtime) by capturing and analyzing the expertise of corrosion engineers about the downstream process of refining crude oil.

Using the Maana Knowledge Platform to create a custom application for corrosion engineers, the company reduced maintenance costs and unplanned equipment downtime. Now engineers can easily search for a particular crude and discover all relevant information, including lessons learned and risk mitigation strategies.

The Health and Safety group at a global Fortune 100 oil and gas company wanted to mitigate risks associated with day-to-day operations at worksites to reduce on-site accidents and unplanned project costs.

They used the Maana Knowledge Platform to combine, index, and make key knowledge accessible through a unified application. Now workers can just enter a task to instantly view the most likely job codes, along with all known risks and mitigations by probability. These insights help workers avoid unplanned risks and related accidents and costs.

oil-corrosion

This global Fortune 10 company wanted to reduce risks from equipment failures (such as unplanned downtime) by capturing and analyzing the expertise of corrosion engineers about the downstream process of refining crude oil.

Using the Maana Knowledge Platform to create a custom application for corrosion engineers, the company reduced maintenance costs and unplanned equipment downtime. Now engineers can easily search for a particular crude and discover all relevant information, including lessons learned and risk mitigation strategies.

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The Health and Safety group at a global Fortune 100 oil and gas company wanted to mitigate risks associated with day-to-day operations at worksites to reduce on-site accidents and unplanned project costs.

They used the Maana Knowledge Platform to combine, index, and make key knowledge accessible through a unified application. Now workers can just enter a task to instantly view the most likely job codes, along with all known risks and mitigations by probability. These insights help workers avoid unplanned risks and related accidents and costs.

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For a leading shipping company, each port omission decisions were costing several hundreds of thousands of dollars. Management wanted to make better decisions based on all available information – and in the shortest time.

Using the Maana Knowledge Platform, they provided key decision makers with an application that instantly simulates the most optimized re-routing options for a given port. Now decision makers can make highly accurate re-routing decisions faster – in 60 seconds instead of 6 hours.

oil-corrosion

A multibillion-dollar division of a Fortune 100 company wanted to improve field service efficiencies by reducing unnecessary parts ordered by field engineers. Unnecessary parts ordered were tying up cash to the tune of $30 million per year.

The Maana Knowledge Platform gathered inputs from the service inventory management and demand planning software. These inputs were used to create an application used by sales engineers that reduced unnecessary parts ordered by 67%.

For a leading shipping company, each port omission decisions were costing several hundreds of thousands of dollars. Management wanted to make better decisions based on all available information – and in the shortest time.

Using the Maana Knowledge Platform, they provided key decision makers with an application that instantly simulates the most optimized re-routing options for a given port. Now decision makers can make highly accurate re-routing decisions faster – in 60 seconds instead of 6 hours.

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oil-corrosion

A multibillion-dollar division of a Fortune 100 company wanted to improve field service efficiencies by reducing unnecessary parts ordered by field engineers. Unnecessary parts ordered were tying up cash to the tune of $30 million per year.

The Maana Knowledge Platform gathered inputs from the service inventory management and demand planning software. These inputs were used to create an application used by sales engineers that reduced unnecessary parts ordered by 67%.

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A division of an industrial Fortune 50 company wanted to improve its working capital and reduce outstanding invoices totaling over $800 million.

By using Maana to predict the likelihood of late payments before the invoice due date, the company was able to take steps that improved accounts receivable collections by 65% over the prior year, increasing working capital by $520M per year.

Minimizing Insurance Policy Risk

Technical underwriters at a Fortune 50 insurance company often make early decisions on policies, but they are generally forced to do so without all the information needed to make accurate decisions.

Using the Maana Knowledge Platform, underwriters can now leverage all required information to automate key segments of the underwriting process.  This has resulted in optimum underwriting decisions delivered five days sooner than before.

A division of an industrial Fortune 50 company wanted to improve its working capital and reduce outstanding invoices totaling over $800 million.

By using Maana to predict the likelihood of late payments before the invoice due date, the company was able to take steps that improved accounts receivable collections by 65% over the prior year, increasing working capital by $520M per year.

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Minimizing Insurance Policy Risk

Technical underwriters at a Fortune 50 insurance company often make early decisions on policies, but they are generally forced to do so without all the information needed to make accurate decisions.

Using the Maana Knowledge Platform, underwriters can now leverage all required information to automate key segments of the underwriting process.  This has resulted in optimum underwriting decisions delivered five days sooner than before.

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This Fortune 500 company wanted the ability to anticipate the types of events and failures likely to occur with new wells.

The Maana Knowledge Platform was deployed to collect asset data and predict the likelihood of equipment failures. Subject-matter experts used it to crawl and index multiple data sources, bring them together, and interactively explore the data. This allowed them to validate various hypotheses related to failures and their causes. Thanks to the platform’s machine-assisted human discovery, these experts gained a holistic view that allowed them to predict which pumps were at risk for failure.

This Fortune 100 company sought to connect various data sources to provide drilling engineers with a more comprehensive and improved view of offset data for well planning.

The Maana Knowledge Platform crawled data from multiple technical data sources, including WellView, rig sensor files, downhole log files, technical documents, and well problem databases. Using the platform’s Natural Language Processing and Machine Learning capabilities, the subject-matter expert was able to discover the types of data in these disparate data sources, make pertinent connections between the datasets, run analytics, and render the data searchable and relevant.

This Fortune 500 company wanted the ability to anticipate the types of events and failures likely to occur with new wells.

The Maana Knowledge Platform was deployed to collect asset data and predict the likelihood of equipment failures. Subject-matter experts used it to crawl and index multiple data sources, bring them together, and interactively explore the data. This allowed them to validate various hypotheses related to failures and their causes. Thanks to the platform’s machine-assisted human discovery, these experts gained a holistic view that allowed them to predict which pumps were at risk for failure.

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This Fortune 100 company sought to connect various data sources to provide drilling engineers with a more comprehensive and improved view of offset data for well planning.

The Maana Knowledge Platform crawled data from multiple technical data sources, including WellView, rig sensor files, downhole log files, technical documents, and well problem databases. Using the platform’s Natural Language Processing and Machine Learning capabilities, the subject-matter expert was able to discover the types of data in these disparate data sources, make pertinent connections between the datasets, run analytics, and render the data searchable and relevant.

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This Fortune 100 company sought to determine the accuracy of past predictions of project risk and improve future risk assessments by including quantitative information.

The Maana Knowledge Platform enabled the risk assessment team to quickly access data from a variety of systems and data sources, as well as analyze the data for key insights. These new insights provided answers to questions related to planned and unplanned risks. The team now has a more comprehensive view of each project relating to planned, unplanned, and potential risks.

This Fortune 100 company wanted to give their cyber security analysts the ability to quickly detect “exploratory” phishing attempts, identify patterns of suspicious behavior by analyzing data traffic patterns, and manually investigate these occurrences.

The Maana Knowledge Platform was deployed to identify potential phishing attempts in an online/streaming mode. The subject-matter experts used the platform to research, analyze, investigate, and ultimately define the conditions under which email is considered to be a phishing attempt. This allowed the company’s cyber security analysts to quickly identify phishing attempts and further investigate potential threats.

This Fortune 100 company sought to determine the accuracy of past predictions of project risk and improve future risk assessments by including quantitative information.

The Maana Knowledge Platform enabled the risk assessment team to quickly access data from a variety of systems and data sources, as well as analyze the data for key insights. These new insights provided answers to questions related to planned and unplanned risks. The team now has a more comprehensive view of each project relating to planned, unplanned, and potential risks.

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This Fortune 100 company wanted to give their cyber security analysts the ability to quickly detect “exploratory” phishing attempts, identify patterns of suspicious behavior by analyzing data traffic patterns, and manually investigate these occurrences.

The Maana Knowledge Platform was deployed to identify potential phishing attempts in an online/streaming mode. The subject-matter experts used the platform to research, analyze, investigate, and ultimately define the conditions under which email is considered to be a phishing attempt. This allowed the company’s cyber security analysts to quickly identify phishing attempts and further investigate potential threats.

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This Fortune 50 company sought to improve how they measured drilling performance. Instead of relying on the typical speed and cost metrics normally associated with drilling, this company wanted to understand the reliability of their wells, which is a more holistic way to measure well performance.

The Maana Knowledge Platform helped this oil and gas company better understand the history of infant mortality associated with wells in order to reduce future infant mortality. With Maana, this company combined historical drilling data such as WellView, with a variety of production data, such as energy components, on a regional and global basis. This provided relevant and accurate insight into the reliability of this company’s multi-million dollar wells. The information was then correlated to the number of well failures, failure rate, and infant mortality.

This Fortune 50 company sought to improve how they measured drilling performance. Instead of relying on the typical speed and cost metrics normally associated with drilling, this company wanted to understand the reliability of their wells, which is a more holistic way to measure well performance.

The Maana Knowledge Platform helped this oil and gas company better understand the history of infant mortality associated with wells in order to reduce future infant mortality. With Maana, this company combined historical drilling data such as WellView, with a variety of production data, such as energy components, on a regional and global basis. This provided relevant and accurate insight into the reliability of this company’s multi-million dollar wells. The information was then correlated to the number of well failures, failure rate, and infant mortality.

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Accelerating Digital Transformation with Enterprise Knowledge Technology

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How Maana’s Knowledge Platform Helps Fortune 500 Companies Accelerate Digital Transformation

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