How do you collect accurate data on construction projects without interrupting the flow of work in the field? 📊 Without data, it's difficult to prove the value of improvements or spot trends that could reduce risk or save money on future projects. The secret to success? Passive data capture. Allow trades to interact organically and automatically capture information as they plan their daily activities. No admin work, just continuous improvement! ✅
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Preventing Data Loss in GIS Troubleshooting: A UFDC Approach At Utility Field Data Collections, LLC, we recognize that protecting GIS data is critical for successful fielding and inspection projects. To keep our data secure and our operations running smoothly, we rely on three key strategies: -Regular, Automated Backups We schedule automatic backups across all our data platforms, so no matter what challenges arise, we have a recent, reliable copy to work from. This proactive step helps us keep downtime minimal and safeguard our insights for ongoing and future projects. -Strict Data Management Protocols Our team follows a set of protocols to ensure data updates are well-documented and carefully managed, reducing risks of accidental deletions or overwrites. By maintaining organized datasets, we create a reliable framework that helps everyone stay in sync, even during complex troubleshooting. -Team Training on Data Security & Recovery At UFDC, we prioritize training on best practices for data security and recovery. Our teams are equipped with the knowledge to respond quickly and effectively to any data issues, keeping project timelines on track and ensuring data integrity for our clients. By combining these steps, we at UFDC are not only protecting our data but also enhancing the reliability and quality of our fielding services, reinforcing our commitment to precision and excellence.
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You can go buy a piece of pipe at Home Depot, load it onto a truck, and drive off—no problem. You can do this every day, over and over, without any issues. But when you need casing out in the field for 20,000-foot wells on a multi-well pad, it’s a whole different ballgame. Now you’re dealing with the logistics of delivering massive amounts of casing to a remote location, coordinating with suppliers, ensuring precise timing, and managing the complexity of running casing for multiple wells simultaneously. And if anything goes wrong, the downtime costs start racking up fast, impacting both your schedule and bottom line. 𝘛𝘩𝘦 𝘴𝘢𝘮𝘦 𝘱𝘳𝘪𝘯𝘤𝘪𝘱𝘭𝘦 𝘢𝘱𝘱𝘭𝘪𝘦𝘴 𝘵𝘰 𝘴𝘰𝘧𝘵𝘸𝘢𝘳𝘦 𝘥𝘦𝘷𝘦𝘭𝘰𝘱𝘮𝘦𝘯𝘵 𝘢𝘯𝘥 𝘥𝘢𝘵𝘢 𝘮𝘢𝘯𝘢𝘨𝘦𝘮𝘦𝘯𝘵 𝘪𝘯 𝘵𝘩𝘦 𝘖𝘪𝘭 & 𝘎𝘢𝘴 𝘪𝘯𝘥𝘶𝘴𝘵𝘳𝘺. Handling a small project might seem straightforward—basic coding, simple data processing, and clear outputs. But when you’re scaling up to manage large datasets, integrating complex systems, and ensuring everything runs in real-time, the complexity grows exponentially. It requires advanced strategies, robust technologies, and meticulous execution. At PetroIQ, we understand that scaling operations - whether it’s managing the logistics of running casing for deep wells or handling large-scale data operations - demands more than just doing the same thing on a larger scale. It requires expertise, strategic planning, and the right tools to get the job done. And when delays occur, we know how quickly downtime costs can add up. When the stakes are high, the challenges are complex, and downtime isn’t an option, you need a partner who gets it done. That’s PetroIQ.
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Support Analyst Providing insightful analysis and support to drive informed decision-making. This involves: Troubleshooting: Identifying and resolving technical issues promptly to minimize downtime. Problem-Solving: Analyzing problems to find effective and efficient solutions. Operational Efficiency: Implementing processes to enhance performance and productivity.
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Capability and capacity analysis is a process used to assess an organization's or individual's ability to perform certain tasks or achieve specific goals. It involves evaluating both the existing capabilities and capacities and identifying any gaps or areas for improvement. Here's a breakdown of the key elements involved in capability and capacity analysis: 1. Capability: Capability refers to the skills, knowledge, expertise, resources, and infrastructure that an organization or individual possesses. It focuses on assessing the ability to perform specific functions or activities effectively. Capability analysis involves evaluating factors such as: - Skills and expertise of personnel: This includes assessing the qualifications, experience, and training of individuals within the organization or individual's skill set. - Resources and infrastructure: This involves evaluating the availability and adequacy of physical resources, such as equipment, technology, facilities, and financial resources. - Processes and systems: Examining the efficiency and effectiveness of existing processes, workflows, and systems in place to support the desired activities or functions. - Organizational structure: Analyzing the structure, hierarchy, and coordination mechanisms within an organization and how they impact the capability to perform tasks. 2. Capacity: Capacity refers to the ability to handle a certain workload, volume, or demand. It focuses on assessing the ability to meet specific quantitative targets or requirements. Capacity analysis involves evaluating factors such as: - Production or service delivery capacity: Assessing the ability to produce goods or deliver services within a given timeframe. - Financial capacity: Evaluating the availability of financial resources to support operations, investments, or growth plans. - Physical capacity: Examining the physical limitations or constraints in terms of space, equipment, or infrastructure that may impact the ability to meet demand. - Human resources capacity: Assessing the availability and adequacy of personnel to handle workload or demand, including factors such as staffing levels, training, and workload management. During a capability and capacity analysis, organizations or individuals identify areas of strength and weakness. This analysis helps in making informed decisions, such as resource allocation, capacity planning, process improvements, or skill development initiatives. It is an ongoing process that should be regularly revisited to adapt to changing circumstances, goals, or requirements.
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From my perspective, the whole purpose of developing business software is to be in control information and know what it is means through data mining and data/statistical analysis. This knowledge provides business insight enabling the business to better navigate toward business goals and fulfill the Mission Statement. Sometimes however, the astute system or business analyst must first help business clients to discover their Mission Statement and write it is as a firm document. From there, create a strategic plan that allows the business to define mission and business goals. It must be documented as a blueprint, for that is what it is, and allows the business to maintain control. Integrity and friendship are essential.
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🏗 Poor data management in the construction industry significantly impacts rework and productivity. 🖥 The industry is plagued by bad data, characterized as inaccurate, incomplete, inconsistent, or untimely. This issue is widespread, with nearly 30% of firms reporting that over half of their project data is bad. 🚧 Bad data has severe ramifications. An Autodesk and FMI study highlighted that poor project data and miscommunication account for 48% of all rework in the United States. 🌐 Globally, the cost of rework was estimated to be 5% of all construction spending in 2020, translating to $625 billion. Rework caused by bad data alone contributed to a staggering $88.69 billion, or 14% of the total rework costs. 📆 This indicates that decisions made using inaccurate data have a significant financial impact, wasting resources that could be utilized for productive activities. 👷♀️ Moreover, the prevalence of bad data leads to poor decision-making. One-third of poor decisions in the industry are attributed to bad data, which further exacerbates inefficiencies and rework. These poor decisions hinder project timelines, leading to delays and cost overruns. What's the remedy? 🎯 You should devise your data strategy. It outlines how your organization collects, manages, and uses data to achieve business goals. ✅ It involves several key components, like data collection, quality assurance, integration, access and sharing, and governance. Data storage and management, analysis for insights, and implementation and training should also be considered. Security is a critical issue that has to be included. 🌀 And don't forget to review and update the strategy regularly! #contech #data #strategy #aecbusiness
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Update on the 3D Enterprise System Platform Testing I am pleased to report a recent achievement in testing the 3D Enterprise System Platform using the PPDM data model (www.ppdm.org). The PPDM model, which includes more than 2000 tables encompassing oil and gas data, provides an excellent test due to the complexity of the data, its temporal nature, and the extensive data sharing requirements among oil companies, their suppliers, and government entities. This test demonstrates how oil and gas data can be securely shared between an oil company operating a well and its partners. Key Outcomes: Efficient Setup: We established the integration in less than a day, demonstrating the platform's ability to facilitate rapid configurations. Complex Data Management: The test involved complex data structures, with exchanges impacting 150 tables across seven levels of data depth, including child and grandchild relationships. Ongoing Updates: The test confirms that any changes in the well data hierarchy are automatically broadcast to the partners. Please visit the 3D Enterprise System platform at www.3d-ess.com for more information. Thank you for your attention.
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MSPs: Are you struggling to sell backup solutions to your customers? Listen closely... Yesterday, I held a training session for my team to help our MSP community sell continuity solutions more effectively. Here’s what I found out... 🚨Did you know that one in three small businesses that lose their data will shut down within 6 months? It’s a shocking statistic, but it’s driven by three key factors: 1️⃣ Customer Data: Without access to orders, contact information, or sales history, it’s nearly impossible to maintain relationships, fulfill orders, or track ongoing sales. 2️⃣ Financial Records: Loss of accounting data can lead to missed payments, tax filing issues, and serious cash flow disruptions. 3️⃣ Inventory & Supply Chain Data: Without this, businesses risk struggling to manage inventory or fulfill orders, which can lead to major operational setbacks. So, some questions to ask yourself? 👉 Do you know how your clients are safeguarding their data? 👉 How are you positioning continuity solutions as an essential part of their business strategy? MSPs in my network please reach out, I'd be interested to learn: 🔹 Have you faced challenges in selling backup and continuity solutions to your clients? 🔹 What objections do you hear most often when it comes to data protection? 🔹 How are you educating your clients on the importance of backup solutions? ♻ Repost if you found this valuable. Mostyn Thomas NCSC CCP Priyanka Chatterjee Daisy Pike Marius Poskus
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Temporary work is not safe. For safety, we must be very careful in the output of the work and the results of the actions. It is necessary to have a team work spirit along with a strong specialized group. Data analysis requires specialized tools related to data, statistical classification and simulation and visualization of outputs to properly analyze the information obtained from the identified relationships between data. In addition to having the necessary information in the implementation of each of the above requirements, we must also have relevant experts in the group for the accurate and correct implementation of the requirements in order to achieve more effective results. Therefore, data analysis is a very specialized group work, and in this way, you can get other valid contracts by presenting the correct work
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Client Success Story: How We Transformed an Engineering Firm’s I.T. for Better Data Safety In engineering, precision and reliability are important. Plus, the security and accessibility of data can make or break a project. Data security was a growing concern for a multi-state licensed civil, structural, and land planning consulting services firm. The Challenge: Despite their experience in projects ranging from school buildings to seismic studies, the firm faced uncertainty regarding their data backup and recovery plans. They had crucial questions unanswered: What data was being backed up? Where were these backups stored? Were the backups reliable for emergency situations? Our Solution: We stepped in to demystify their I.T. dilemmas. After thoroughly analyzing the firm's technology and policies, it became clear that its backup strategy was undefined. Our experts laid out all possible solutions, eventually implementing a high-reliability backup system that assured onsite and offsite data rotation. Additionally, we secured individual user data with User Folder redirection to OneDrive and cloud backups for their Office 365 data. The Outcome: Today, the firm operates with unmatched peace of mind. They're equipped with a clear, documented backup and recovery plan that protects their valuable data and outlines precise recovery steps in an emergency. Want to ensure your data is protected with a clear and efficient backup and recovery plan? Let’s discuss how our I.T. solutions can secure your peace of mind. Contact us today! #casestudy #datasecurity #engineeringfirm #ITtransformation #backupsolutions #AttentusTech
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