AI Coding with AI For Dummies Cheat Sheet Cheat Sheet / Updated 03-19-2024 Generative AI coding tools can improve your productivity as a coder, remind you about syntax, and even help you with testing, debugging, refactoring, and documentation, but it's up to you to know how to use them correctly. Get ten prompt engineering tips that can make the difference between AI spitting out garbage spaghetti code and crafting elegant code that works. AI coding tools present unique challenges and hazards for software development teams, so check out some simple rules to make sure that generative AI doesn't tank your project. Then see what happened when ChatGPT was asked to list the top things human coders do that AI can never replace. View Cheat Sheet

Cybersecurity Nine Ways to Protect Against Advanced Email Threats Article / Updated 03-12-2024 Advanced email threats use a wide range of methods to attack company security, including sophisticated technology and an in-depth understanding of the weak points in the way that email recipients and senders communicate. To fight them, companies need to use tools including threat detection, threat hunting, and extended detection and response (XDR) technology. Here are ten things you can use to protect against advanced email threats. Use secure email threat defense Use a comprehensive email security solution to detect quickly and respond effectively. Look for an email defense system that automatically and reliably does many of the things that you might wish users would do consistently, such as: Assess the sender’s reputation Asses the reputation of the email’s source URL Scan content for concerning words and phrases Scan file attachments and analyze their reputation and content Spot and block spam Optimize your defenses against major email threats You can scan the horizon for current threats and note what threats are being blocked — or causing breaches — at your organization. You can then respond by working with your vendor; working with your email provider; training your security personnel and end users; educating upper management; and many more steps. Use AI to understand and categorize threats You can use AI to identify patterns that serve as indicators of an attack. These patterns are often so subtle that attackers aren’t aware of the breadcrumbs they’re leaving as they put together attempts at exploits. AI can spot these patterns before the bad actors do. Use threat data to inform and expedite your response Before a threat arrives, you can know: What the recent patterns of threats look like The signatures left by different kinds of threats What attacks are leading to successful breaches The best response to each different kind of breach By using threat data, you help yourself at every step of the “funnel” of security breaches: reducing the number of attacks that reach user inboxes, reducing the impact when a malicious email is opened or a toxic file attachment is downloaded, and responding quickly and effectively to the remaining breaches that do occur. Act quickly to ensure maximum protection against threats By acting automatically against many threats, and by providing alerts and information about the threats that do appear, the best email security solutions give you a precious gift in responding to any remaining breaches: time. With a solution in place, your best people are empowered to respond quickly and effectively to the breaches that do occur, while directing their focus to strategic efforts such as studying the breach, understanding how it occurred, and taking the steps needed to prevent a recurrence. Unify visibility across control points Look for a security provider that helps you unify visibility across multiple control points so you can, for instance, tie the damage that’s occurring from a successful breach to the original gaps in your defenses that allowed it to occur. You can then “mind the gap” and prevent the problem from recurring in the future. Embrace automated tools to maximize resources Automated tools save your people’s time and focus for the largest potential threats. These tools also allow your team to find a solution and then “set it and forget it,” using the automated tools to prevent the same problem from happening again. Detect sooner, respond faster You can’t solve a problem you don’t know you have — and most cybersecurity breaches get worse the longer it takes you to respond. Effective security solutions buy you time, removing some threats and giving you early notice of others. Getting started Visit Cisco.com and download your free copy of Advanced Email Threats For Dummies to learn more about advanced email threats. View Article

Cybersecurity Takeaways about Extended Detection and Response (XDR) Article / Updated 03-11-2024 What is XDR? It’s a recent addition to the swarm of acronyms bouncing around the business technology space. XDR platforms include tools for incident response, threat hunting, automation, threat detection, visualization, threat management, and more. What brings it all together is a centralized viewpoint of your entire security infrastructure. Here are ten things you need to know about XDR including some key features to look for when shopping for an XDR solution. Reduce time to detect and respond At the end of the day, XDR platforms aim to reduce detection and response times. More data and more tools don’t mean faster security teams. They often mean overwhelmed security teams. XDR focuses on providing actionable information through machine learning-supported analytics and a centralized dashboard. On the response side, orchestration and automation features streamline the response process by providing easy-to-use and customizable tools for security staff. Visualize integrated security data XDR takes in a lot of information and must organize it to reduce alert fatigue, false positives, and general security operations hassle. Central dashboards are customizable information hubs for security teams to organize their data to fit the organization’s needs. Visualization tools such as incident maps should help identify threat sources and trace potentially new attack points. Precise monitoring Because XDR platforms usually come with machine learning-based analytics, and rely on secondary security tools for data collection, security teams should have a clear view of an organization’s ecosystem. Providing good information, rather than lots of information, cleans up what staff actually see, making it easier to focus on legitimate security concerns. Contextualize alerts and reduce false positives XDR’s centralized dashboard features provide context to security situations. Alerts coming in are more reliable because the XDR system has the relevant threat intelligence required to make decisions about what is concerning, abnormal behavior and what isn’t. False positives are a waste of resources, and XDR’s comprehensive view of the IT infrastructure helps reduce their frequency. Automated responses Automation features have been around in the security space for some time, but XDR’s broad reach enables its automation tools to benefit from some fine-tuning. Many XDR products offer machine learning-supported automation that can take care of rote security tasks, so security staff can work on the harder jobs that need human intervention. Keep it open XDR isn’t a lone wolf and needs the support of specialized security tools. XDR platforms offer a lot of integration options, both with existing security tools and ones that may be added in the future. Endpoint detection and response (EDR) and network detection and response (NDR) in particular are two tools to think about including when building out your security infrastructure. Store and analyze logs at scale Because of the powerful analytics tools XDR brings in, these platforms are able to process large amounts of security data. XDR solutions are easily scalable so your organization can grow over time, without worrying how your security analytics will have to change. Address compliance requirements The large amount of data that can be processed by XDR also means compliance and industry regulation requirements can be confidently met. Organizations involved in healthcare or finance are especially in need of extensive logging and analysis tools. Siloed solutions are partial solutions Security infrastructure has become so vast that siloing systems has become common. Enterprise-level IT infrastructure can’t rely on this separation of systems, as attackers expand and develop their attack strategies. Incomplete security information can lead to false positives and alert fatigue, because monitoring tools won’t have the full context of suspicious activity. Remember the human factors The security personnel managing these tools are the most important part of any successful IT security environment. Inefficient security solutions overwork security staff by burdening them with false positive threats, unnecessary alerts that lead to alert fatigue, and lackluster identification and response tools that slow them down. Getting started Visit Cisco.com and download your free copy of Extended Detection and Response (XDR) For Dummies, 2nd Cisco Special Edition to learn more about topic. View Article

Cybersecurity Risk-Based Cybersecurity with Managed Detection and Response (MDR) Article / Updated 02-15-2024 What is MDR? Managed detection and response (MDR) is more a security service than it is a security tool. The words “detection and response” sound like the most important part of the acronym, and those are the meat and potatoes of any good security infrastructure, but what sets MDR apart is how the solution is managed. MDR service providers offer businesses access to in-house security experts who monitor, alert, investigate, create response plans, and more. MDR providers’ detection and response tools are integrated into an existing IT infrastructure so the security pros can detect and respond to security threats. MDR solutions are for small to midsize organizations that can’t support a full staff of security operations employees and larger organizations that wish to supplement their existing security solutions. MDR is a strong option for many organizations, but it’s important to remember that not all MDRs are created equal. At their core, MDR solutions offer integrated security tools monitored and managed by the provider’s security professionals, but there can be key differences among solutions. For instance, it’s wise to select a vendor that uses the latest technologies, partners with you, and provides consulting and technical support, such as digital forensics and incident response (DFIR) services. A risk-based approach to cybersecurity A risk-based approach to cybersecurity is a key differentiator in the MDR market. Companies that use risk-based cybersecurity stop three times more attacks, find more than 50 percent of incidents within one day, and see impactful breaches reduced from 76 to 28 percent, according to an Accenture cybersecurity report. To make these security options more accessible to small and midsize companies, a true risk-based, consultative approach to cybersecurity is recommended. A partnership between the client and the MDR vendor allows smaller organizations to protect themselves from the onslaught of cyberattacks, vulnerabilities, and risks without hiring an internal security team. A risk-based approach enables clients to tap into end-to-end solutions with a team of skilled, innovative professionals enabled by technology, automation, and advanced analytics to meet individual client organization needs. Humans are the key Just as humans are the driving force behind today’s security threats, they’re also behind the best security solutions for combating them. This humans-first approach to MDR integrates human intervention and problem-solving into almost every step of the threat response life cycle. A truly successful MDR service must combine the intelligence and creativity of human minds with powerful security technology. An example of this philosophy in action is the thousands of alerts that security information and event management (SIEM) systems can produce. Security experts must sift through them so alert fatigue and false negatives don’t impact security operations. Accessibility to analysts for questions and updates is important because two-way conversations and real relationships build a strong cybersecurity program. Consultative approach A consultative approach to security provides access to experienced security practitioners. Look for an MDR that is with you throughout your journey to partner with you and design a program that focuses on your specific cybersecurity and compliance needs today, with the built-in capability to evolve your program as the cybersecurity landscape changes and as your needs and priorities change. Access to security professionals provided by MDR services helps overcome security challenges. A select few MDR service providers offer risk assessments and penetration testing and have teams of people who know how to navigate compliance and regulation issues. Look for an MDR partner whose business is built on the risk-based consultative approach for clients, enabling them to provide end-to-end solutions with a team of skilled, innovative professionals enabled by technology, automation, and advanced analytics to meet individual client organization needs. Getting started Visit Pondurance.com and download your free copy of Managed Detection & Response (MDR) For Dummies to learn more about MDR. View Article

Cloud Computing Your Business Performance Can Soar with Enterprise Automation Article / Updated 01-26-2024 In this article you will learn: What enterprise automation is Why you should implement enterprise automation How enterprise automation will impact businesses in the future What is enterprise automation? Enterprise automation increases efficiency by replacing repetitive, manual, and error-prone business processes with intelligent, automated, and more reliable workflows. Enterprise automation is an ongoing and strategic driver of the digital business landscape that seamlessly connects data, applications, and services with people and their organizations. With enterprise automation, companies remove bottlenecks, improve and accelerate the flow of data, empower IT resources with better productivity, and give non-IT business groups the ability to easily self-serve their data needs – across their enterprise. Why enterprise automation? Think about the IT and organizational challenges you face today. You’re experiencing poor agility in certain areas. Meanwhile, the rapid pace of business requires digitalization, cloud adoption, and quick responsiveness. This situation is exactly what you want to aspire to; however, your business processes are sluggish and suffering where data silos persist. Collaboration between teams is more difficult than it should be. Not only is business moving quickly, but the pace of innovation is increasing as well. Your project leaders, your customers, your internal business partners, and your employee expectations are ever increasing. This forces your organization to be more innovative and try new things as you seek to become faster and more efficient. Competitors in your landscape aren’t sitting still. You need to leverage and exploit all the data you can across your enterprise — operational systems, functional applications, and multiple channels of data. All must be harnessed to survive, thrive, and excel in a competitive landscape and to take corporate intelligence to the next level. You recognize that to be agile and responsive, and to achieve these aspirations, you need solutions to be agile and responsive and capable of connecting your entire enterprise, end-to-end. That is what enterprise automation is all about and the inspiration behind Enterprise Automation For Dummies, sponsored by SnapLogic. The future is enterprise automation Enterprise automation done well uniquely combines data integration, app-to-app integration, and API development and management for API-led integrations and delivery of data services. And, it doesn’t have to be complicated. Easy-to-use, event-driven platforms, augmented with graphical (low-code and no-code) user interfaces and AI-assistance, enables you to get up and running sooner to remove manual burdens and automate business processes. To learn more, download Enterprise Automation For Dummies to gain knowledge of integration principles and pick up insights on how to automate and orchestrate data across your enterprise and empower people. Enterprise Automation For Dummies includes case studies with summaries and achieved success metrics. Download Enterprise Automation For Dummies today and chart your future. View Article

WordPress WordPress All-in-One For Dummies Cheat Sheet Cheat Sheet / Updated 01-18-2024 Tailor your blog with WordPress software, whether you're writing, editing, or publishing WordPress site content. An understanding of WordPress's dashboard controls and of the types of content available to you helps you get the most out of your website. Also, when all else fails, it's good to know where you can turn to for help with WordPress. View Cheat Sheet

Cybersecurity Data Security Posture Management (DSPM) For Dummies Article / Updated 01-16-2024 In this article you will learn: what DSPM is why you need DSPM what you can do with DSPM ten must-have capabilities to look for in a DSPM solution how to get started with DSPM Data is the lifeblood of modern business and data security in the cloud is top of mind for organizations everywhere. Data security posture management (DSPM) solutions address the need for an automated, scalable, and agile system across the full data security lifecycle — from discovery, classification, cataloging, and risk prioritization to access control, policy enforcement, remediation, and real-time monitoring. This helps organizations reduce risks and costs associated with cloud data security while improving their overall cybersecurity posture. What is DSPM? Data security posture management empowers organizations to implement a data-centric security strategy by first providing an accurate inventory of their sensitive data and identifying where it violates data security policies, thereby enhancing overall data security posture. A data-centric security strategy emphasizes the importance of protecting your valuable data rather than focusing on systems and infrastructure. Key capabilities in a DSPM solution include the following: Global data visibility provides organizations with a comprehensive view of their sensitive data. This involves identifying the location and type of sensitive data to ensure proper protection measures are in place. All clouds — including infrastructure-as-a-service (IaaS), platform-as-service (PaaS), and software-as-a-service (SaaS) resources — need to be covered. The appropriate data owners must also be identified, to facilitate efficient communication of any data-related security or privacy issues. Data hygiene is about keeping your data clean and healthy. It encompasses various actions that help organizations maintain clean and organized data in accordance with their data governance framework. This includes addressing and remediating misplaced, redundant, and obsolete data to streamline maintenance, optimize storage resources, and reduce potential security risks. Purging outdated or irrelevant data is another essential part of good data hygiene, resulting in the retention of only accurate and useful data. Data security risk control involves immediately detecting and proactively remediating data risk factors to prevent data breaches. This capability detects and addresses three key data postures: Overexposed data, such as public read access, or permissive access rights, which should be identified and mitigated to reduce the likelihood of unauthorized access or data breaches Underprotected data, where there are missing controls like encryption, masking, or proper retention policies Misplaced data, such as cardholder data subject to the Payment Card Industry Data Security Standards (PCI DSS) in an unauthorized environment or PII data in a development environment Data access governance manages and controls access to sensitive data. This involves: Identifying all internal and external users, roles, and resources with access to sensitive data Monitoring and controlling access patterns based on their roles and responsibilities Ensuring that only authorized users have access to sensitive assets Regularly reviewing and updating access permissions based on actual usage Privacy and compliance ensure that organizations adhere to data privacy regulations and industry standards, and make audits more manageable (and perhaps a little less painful and costly). Providing objective evidence for audits can be challenging, but having reporting from DSPM that shows you know where your data is and understand that its security posture can significantly ease compliance. Why do you need DSPM? For modern enterprises, data is fuel for innovation. These companies understand that data is a key asset and a source of competitive differentiation. They democratize data to unleash its full potential and make it accessible for application developers, data scientists, and business users. However, as data proliferates, security doesn’t travel with it — and adding the pace of change to the sprawl of cloud technology means that data security teams just can’t keep up. Malicious actors constantly target this new threat vector — the “innovation attack surface” — which has emerged as a result of several key trends: Cloud transformation and data democratization: The cloud has enabled widespread data democratization, enabling easy access to data for developers, data scientists, and business users to support their innovation efforts. However, this freedom to access and use data without oversight creates unknown, unmanaged, and unprotected cloud data sources. Technology sprawl and complexity: In the public cloud, each cloud service is configured and used differently, and each introduces new and unique risks. The ever-changing architectures are confusing and complex, and if you’re not careful, this can lead to some costly and even devastating mistakes with sensitive data stored in the cloud. Cloud data proliferation: Nearly half of all data (48 percent) is stored in the public cloud today, and it’s only increasing, according to the Flexera 2022 State of the Cloud Report. Unfortunately, traditional data security controls are unable to keep up with the dynamic movement of data, so they must be configured from scratch every time data is created, copied, shared, or moved. Death of the traditional perimeter: One of the many benefits of the cloud is that it is accessible from anywhere. Thus, the notion of a network perimeter — an on-premises data center protected by a firewall — has all but disappeared. The lack of a single choke point (a firewall) means sensitive data is exposed by design because anyone can access it from anywhere with the proper credentials (whether authorized or stolen). Faster rate of change: Release cycles now happen in weeks, days, and hours rather than months and years. Unfortunately, security teams are usually not on that same quick schedule and still rely on slower manual approaches. The changing role of security: In cloud computing, data security teams must evolve to securely enable the business rather than just slowing everyone down or letting risk grow exponentially. Data security in cloud computing must focus on protecting data from breaches and compromises while also empowering users to be productive. What can you do with DSPM? Data security, governance, and privacy teams can use DSPM to help keep their organization secure and compliant. Some common use cases for DSPM include the following: Automating data discovery and classification: DSPM helps organizations automatically and continuously discover, classify, and categorize all of their known and unknown data — including sensitive, proprietary, regulated, abandoned, and shadow data — across multicloud environments, such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Snowflake, Microsoft 365, and more. Enforcing data security policies automatically: DPSM automatically enforces data security policies at scale for all of your data as it travels through the cloud. DSPM converts data policies into specific technical configurations and shows where data security policies are violated. It also prioritizes issues for resolution and helps you fix those issues with clear, specific technical remediation instructions. Controlling data exposure: As data rapidly proliferates in the cloud, security does not follow that data, often leading to crucial business data being exposed. DSPM pinpoints all of your exposed sensitive data that can lead to data breaches, ransomware attacks, and noncompliance penalties — whether it’s misplaced data (for example, sensitive data mistakenly stored in public buckets), misconfigured controls (for example, third-party access granted to sensitive data), or overly permissive access. Controlling datacentric environment segmentation: DSPM helps you segment your cloud environments and apply location controls to comply with security and regulatory requirements. You can detect and receive alerts when sensitive or regulated data is placed in untrusted and/or unauthorized environments, review violations, and take action to remove the data or authorize the new environment. Complying with data privacy and compliance frameworks: DSPM streamlines evidence collection for internal and external privacy and governance stakeholders through autonomous data discovery and classification of your sensitive and regulated data. A DSPM data policy engine continuously enforces regulatory compliance and standards requirements for data, regardless of the underlying technology or location. Ten must-have capabilities to look for in a DSPM solution When considering a DSPM solution for your organization, be sure to select one with the following important capabilities and features: Autonomous: Automatically discover unknown, new, and modified data stores across all of your clouds — without needing credentials or manual configuration. Continuous: Change is constant — especially in the public cloud — so your DSPM solution must be able to continuously monitor your environment for changes and automatically scan new cloud accounts, new data stores, and new data added to existing data stores. Secure by design: Look for a solution that doesn’t extract data from your environment. Your DSPM should use the cloud service provider’s (CSP) application programming interface (API) and ephemeral serverless functions in your cloud account to scan your data. Breadth and depth of coverage: Whether you’re using Amazon Web Services (AWS), Azure, Google Cloud Platform (GCP), Snowflake, Microsoft 365, or practically any combination of various cloud database, storage services, or software as a service (SaaS) apps, you need a single and consistent view of your data across clouds, geographies, and organizational boundaries to evaluate the risk to your data across all clouds. Intelligent classification: Look for a solution that utilizes multistep contextual analysis to automatically identify sensitive data with low false positive (FP) and false negative (FN) rates. The solution should also include hundreds of predefined classification rules, data validators, and classification algorithms that extract the data insights you need without having to locate the data owner. Extensive set of built-in datacentric policies: Look for a solution that provides out-of-the-box datacentric policies for common use cases like data security, proper governance, and privacy. Customization features: You need a solution with robust customization features that are flexible and powerful enough to match your data taxonomy and address any unique requirements your organization may have such as sensitivity levels/definitions, data types, and custom industry policies. Guided remediation: Look for a solution that provides a full analysis of why a security or compliance violation exists, evidence of its existence, and technical recommendations on how to fix it based on policy and environment. Simple and quick deployment process: Your DSPM solution should be agentless and connectorless to simplify and accelerate the deployment process. Look for a solution that can be deployed in minutes and delivers time-to-value in a few days. Easy integration with your ecosystem: Look for a DSPM solution with extensive integrations that include third-party systems such as IT service management (ITSM), security information and event management (SIEM), cloud security posture management (CSPM), extended detection and response (XDR), and data catalogs. Getting started Visit laminarsecurity.com to learn more. Download your free copy of Data Security Posture Management For Dummies to learn more about how DSPM enables organizations to harness the power of cloud data securely and efficiently. View Article

General Programming & Web Design Web Coding and Development All-in-One For Dummies Cheat Sheet Cheat Sheet / Updated 01-05-2024 One of the handiest features of web coding and development is that once you’ve learned a few basics, you can apply those basics to any project. A good example is the underlying structure of a page, which uses the same set of standard HTML tags, no matter how large or small the project. It’s also worth your time to learn how selectors work, because you use them to save you time both when you’re writing CSS rules and when you’re writing JavaScript code. Errors, too, are a fact of web coding life, so understanding the most common errors can help you debug your code faster and get back to more creative pursuits. View Cheat Sheet

General AI Five Ways Machine Health Delivers Real Business Value Article / Updated 12-05-2023 We depend on machines to produce everyday essentials — such as power, food, and medicine — and to support nearly every aspect of society. Thus, machine health is vital to overall manufacturing and business health. Machine health transforms reliability, maintenance, operations, and asset performance management by using artificial intelligence (AI) and Internet of Things (IoT) technologies to improve performance, reduce downtime, and help manufacturers reach Industry 4.0 standards. Transform the way you work In an era of labor shortages and technology innovation, manufacturing needs to move faster toward digitization. Using AI in manufacturing, companies can eliminate repetitive tasks, reduce inefficiencies, and strengthen data-driven decision making. With insights into the real-time condition of their machines, workers can break away from traditional maintenance schedules and manual tasks. This means more time for proactive work and collaboration with other departments, which leads to stronger cross-functional teams. It also leads to further innovations, such as process optimization. When employees have insights into the health of their machines, they can predict their workdays and own their schedules, opening up new opportunities for innovation and engagement. Learn more about transforming the way you work with machine health at www.augury.com/use-cases/business-goal/transform-the-way-you-work. Eliminate unnecessary downtime Unplanned downtime can be expensive. There’s the cost of the repairs themselves, lost production and sales, and reputational damage. Maintenance and reliability teams often have to scramble to diagnose and fix the problem as quickly as possible — often resulting in overtime pay and expedited shipping costs for emergency spare parts. Sudden and catastrophic machine failures can also harm worker morale and jeopardize worker safety. Thus, reducing unnecessary downtime has a significant impact on both your top and bottom lines. Learn more about eliminating unnecessary downtime with machine health at www.augury.com/use-cases/business-goal/eliminate-unnecessary-downtime. Reduce loss, waste, and emissions Reducing waste to improve sustainability has become a top priority for manufacturers for cost-cutting/efficiency purposes, as well as to promote a healthier planet. Healthy machines can run at capacity and with less downtime, leading to less waste and more efficient energy use. An industry study by the Electric Power Research Institute (EPRI) found that optimizing the performance of rotating assets — which account for approximately 54 percent of U.S. industrial electricity consumption — can reduce energy consumption by 12 to 15 percent. Learn more about reducing loss, waste, and emissions with machine health at www.augury.com/use-cases/business-goal/reduce-loss-waste-and-emissions. Maximize yield and capacity Real-time machine health insights allow maintenance teams to adjust shutdown schedules based on the current condition of the machine, its history, and the recommendations of experts. In the longer-term, machine health minimizes unplanned downtime by improving the health of your machines, reduces planned downtime by deferring nonessential maintenance activities, and can increase output on production lines with healthier machines running optimally. Learn more about maximizing yield and capacity with machine health at www.augury.com/use-cases/business-goal/maximize-yield-and-capacity. Optimize asset care When it comes to asset care — from acquiring and storing parts to managing maintenance resources — manufacturers have traditionally taken a more preventive than predictive approach: Machines are serviced on fixed schedules, regardless of whether or not they need maintenance. Many manufacturers keep spare parts for critical machine assets in inventory because calendar-based maintenance dictates when parts should be replaced — whether or not replacement is needed. The alternative is overspending to get parts on short notice and expensive downtime while you wait for the parts to arrive. Whether hoarding parts or paying more for last-minute parts, both methods are inefficient and costly. Machine health empowers you to control how you spend time and money based on the real-time condition of your machine assets. Learn more about optimizing asset care with machine health at www.augury.com/use-cases/business-goal/optimize-asset-care. Start building a winning machine health culture Machine health can transform operations for every manufacturer. Get your free copy of Machine Health For Dummies at //www.augury.com/machinehealthfordummies/. How much will you save with Augury Machine Health? Use the ROI calculator at www.augury.com/value-calculator/ to see how much time and money you can save with Augury’s Machine Health. View Article

Analytics Adobe Analytics For Dummies Cheat Sheet Cheat Sheet / Updated 12-03-2023 Adobe Analytics is the most powerful tool available for analyzing digital consumer data, but it’s easier to grasp if you know where to start. Master the most basic and widely applicable features in the easiest way. Get details on two standard calculated metrics in the analytics industry that focus on analyzing engagement on your site, app, or other digital property. Discover several tips to improve your productivity in Analysis Workspace. View Cheat Sheet