Welcome!

Related Topics: Containers Expo Blog, Microservices Expo

Containers Expo Blog: Article

Why Energy Companies Like Data Virtualization

Integrated data powers business success

Discovering new upstream sources, smoothly delivering products through downstream distribution channels, and complying with extensive regulations are keys to success in the energy business.  And information is the fuel that enables these successes.

Unfortunately prior IT investments have resulted in numerous data silos and significant complexity that is making it harder than ever to turn information into business success.

Four of the top five global energy companies rely on data virtualization to provide the diverse information required across a range of strategic initiatives and business-critical IT projects.

Here is how.

Data Virtualization at Work in Energy Companies
Data virtualization use
by energy companies is extensive.  Here are but a few of the use cases these innovative IT organizations have deployed:

  • Well Maintenance and Repair - Keeping wells up and pumping drives revenue. When wells go down, getting the right repair rigs and teams on site fast is critical. To allocate these scarce resources optimally, requires dispatchers and triage teams have real-time access to repair rig status, staffing availability, best practice procedures, maintenance records, flow rates, and more. Data virtualization accesses and combines this diverse data so the oil and gas keep flowing.
  • Regulatory Reporting - The energy industry is one of the most highly regulated industries today. EPA, OSHA, DOT, and many other federal and state agencies require hundreds of compliance reports. Because internal systems have been optimized for operations, not compliance, integrating the data needed from across these systems is often the biggest component in your compliance reporting costs. Data virtualization quickly and easily federates diverse data from across operational systems, while leaving operating data in place to avoid the extra costs that result from unnecessary data replication.
  • Research and Development - Effective R&D pipeline management is the key to expanding energy sources, enhancing recovery and yield, and reducing costs in the energy business. Currently, most research project information resides is multiple systems. Managers have to access these separate systems to extract, compile, and assemble reports from multiple laboratory operations in order to keep up. Data virtualization offers easier access and visibility across the entire R&D process.
  • Human Resource Management - The shortage of skilled petroleum engineers, roustabouts, geologists, and others continues to worsen. Attracting, developing and retaining a highly skilled professional workforce has become a top priority. Information is critical including skills development, legal and regulatory mandates, and demographic shifts in workforce composition. Data virtualization easily integrates all this data to maximize the work force.
  • Sales Management - Sales managers need up-to-the-minute information at their fingertips to increase revenue and drive sales productivity. The costs associated with lost opportunities or problems left unresolved are significant. Answers to questions such as am I tracking to make my numbers this month, what are the hot products, how is my customer satisfaction, where can I get additional sales, and more are constantly being asked each day. While this information resides in multiple silos, you need what you need, no matter where it resides. Data virtualization can bring that information to sales leaders so they can hit revenue objectives.

Data Virtualization Pays Off!
Data virtualization is a more agile, lower cost data integration approach that successfully addresses complex upstream and downstream data silos and delivers significant business benefits including:

  • Increase Revenues - Maximize output from wells and refineries
  • Improve Productivity - Ensure engineers, analysts and manager have all the information they require
  • Reduce Costs - Avoid long data integration development cycles and excess data replication
  • Decrease Risk - Improve visibility across upstream, downstream and back-office operations
  • Ensure Compliance - Meet DOE, EPA, DOT, OSHA and EU compliance data requirements faster, for less

More Stories By Robert Eve

Robert Eve is the EVP of Marketing at Composite Software, the data virtualization gold standard and co-author of Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility. Bob's experience includes executive level roles at leading enterprise software companies such as Mercury Interactive, PeopleSoft, and Oracle. Bob holds a Masters of Science from the Massachusetts Institute of Technology and a Bachelor of Science from the University of California at Berkeley.

Latest Stories
"Space Monkey by Vivent Smart Home is a product that is a distributed cloud-based edge storage network. Vivent Smart Home, our parent company, is a smart home provider that places a lot of hard drives across homes in North America," explained JT Olds, Director of Engineering, and Brandon Crowfeather, Product Manager, at Vivint Smart Home, in this SYS-CON.tv interview at @ThingsExpo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
SYS-CON Events announced today that Conference Guru has been named “Media Sponsor” of the 22nd International Cloud Expo, which will take place on June 5-7, 2018, at the Javits Center in New York, NY. A valuable conference experience generates new contacts, sales leads, potential strategic partners and potential investors; helps gather competitive intelligence and even provides inspiration for new products and services. Conference Guru works with conference organizers to pass great deals to gre...
DevOps is under attack because developers don’t want to mess with infrastructure. They will happily own their code into production, but want to use platforms instead of raw automation. That’s changing the landscape that we understand as DevOps with both architecture concepts (CloudNative) and process redefinition (SRE). Rob Hirschfeld’s recent work in Kubernetes operations has led to the conclusion that containers and related platforms have changed the way we should be thinking about DevOps and...
The Internet of Things will challenge the status quo of how IT and development organizations operate. Or will it? Certainly the fog layer of IoT requires special insights about data ontology, security and transactional integrity. But the developmental challenges are the same: People, Process and Platform. In his session at @ThingsExpo, Craig Sproule, CEO of Metavine, demonstrated how to move beyond today's coding paradigm and shared the must-have mindsets for removing complexity from the develop...
In his Opening Keynote at 21st Cloud Expo, John Considine, General Manager of IBM Cloud Infrastructure, led attendees through the exciting evolution of the cloud. He looked at this major disruption from the perspective of technology, business models, and what this means for enterprises of all sizes. John Considine is General Manager of Cloud Infrastructure Services at IBM. In that role he is responsible for leading IBM’s public cloud infrastructure including strategy, development, and offering m...
The next XaaS is CICDaaS. Why? Because CICD saves developers a huge amount of time. CD is an especially great option for projects that require multiple and frequent contributions to be integrated. But… securing CICD best practices is an emerging, essential, yet little understood practice for DevOps teams and their Cloud Service Providers. The only way to get CICD to work in a highly secure environment takes collaboration, patience and persistence. Building CICD in the cloud requires rigorous ar...
Companies are harnessing data in ways we once associated with science fiction. Analysts have access to a plethora of visualization and reporting tools, but considering the vast amount of data businesses collect and limitations of CPUs, end users are forced to design their structures and systems with limitations. Until now. As the cloud toolkit to analyze data has evolved, GPUs have stepped in to massively parallel SQL, visualization and machine learning.
"Evatronix provides design services to companies that need to integrate the IoT technology in their products but they don't necessarily have the expertise, knowledge and design team to do so," explained Adam Morawiec, VP of Business Development at Evatronix, in this SYS-CON.tv interview at @ThingsExpo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
To get the most out of their data, successful companies are not focusing on queries and data lakes, they are actively integrating analytics into their operations with a data-first application development approach. Real-time adjustments to improve revenues, reduce costs, or mitigate risk rely on applications that minimize latency on a variety of data sources. In his session at @BigDataExpo, Jack Norris, Senior Vice President, Data and Applications at MapR Technologies, reviewed best practices to ...
Widespread fragmentation is stalling the growth of the IIoT and making it difficult for partners to work together. The number of software platforms, apps, hardware and connectivity standards is creating paralysis among businesses that are afraid of being locked into a solution. EdgeX Foundry is unifying the community around a common IoT edge framework and an ecosystem of interoperable components.
"ZeroStack is a startup in Silicon Valley. We're solving a very interesting problem around bringing public cloud convenience with private cloud control for enterprises and mid-size companies," explained Kamesh Pemmaraju, VP of Product Management at ZeroStack, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
Large industrial manufacturing organizations are adopting the agile principles of cloud software companies. The industrial manufacturing development process has not scaled over time. Now that design CAD teams are geographically distributed, centralizing their work is key. With large multi-gigabyte projects, outdated tools have stifled industrial team agility, time-to-market milestones, and impacted P&L stakeholders.
"Akvelon is a software development company and we also provide consultancy services to folks who are looking to scale or accelerate their engineering roadmaps," explained Jeremiah Mothersell, Marketing Manager at Akvelon, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
Enterprises are adopting Kubernetes to accelerate the development and the delivery of cloud-native applications. However, sharing a Kubernetes cluster between members of the same team can be challenging. And, sharing clusters across multiple teams is even harder. Kubernetes offers several constructs to help implement segmentation and isolation. However, these primitives can be complex to understand and apply. As a result, it’s becoming common for enterprises to end up with several clusters. Thi...
"Infoblox does DNS, DHCP and IP address management for not only enterprise networks but cloud networks as well. Customers are looking for a single platform that can extend not only in their private enterprise environment but private cloud, public cloud, tracking all the IP space and everything that is going on in that environment," explained Steve Salo, Principal Systems Engineer at Infoblox, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Conventio...