Smart Engine analytics allows you to analyze large volumes of data over extended periods of time, utilizing algorithms to determine precise data from Web traffic and feeding this data to the reporting components. With its industry-leading algorithms, the key benefit of Wavecrest’s Smart Engine is providing the manager-ready, actionable reporting that nontechnical personnel in the company needs.
Glossary of tools available for the field of Analytics. Research done on Google, hence no claims on accuracy. Please use this as a directional insights into the tools available for Analytics. Also the research is about a year old, and there have been many wonderful new tools in the market today, so please do your own research to get updated info.
Big data analytics is becoming important to process unimaginably large amounts of information and data in many applications. The typical big data analytics is Hadoop, an open-source software framework that supports data-intensive distributed applications, and the running of applications on large clusters of commodity hardware. Hadoop, that is based on the architectural framework MapReduce, collects both structured data and unstructured data, processes the collected data set in a distributed network cluster in parallel, and extracts valuable information from the processed data set within a short time. Followings illustrate some examples of patents that provide current status of the big data analytics applications.
The document provides information on Appsian360 software for monitoring ERP systems like SAP and PeopleSoft. It summarizes key features as real-time monitoring of data access and usage, with dashboards providing insights on users, locations, devices and more. It also describes monitoring user activity and productivity, threat detection and incident response, and business risk management.
Best Practices - Mission-Critical SystemsJoe Guido
The document discusses best practices for mission-critical systems, including ensuring accuracy of data through rigorous data validation rules, providing transparency of processes by electronically recording all user actions, and achieving fiscal accountability by validating and controlling the movement of data. It also covers sustainability through streamlining processes into electronic workflows, and the use of event management to electronically capture all data movements for tracking, analysis and transparency.
ŠVOČ: Design and architecture of a web applications for interactive display o...Martin Puškáč
My ŠVOČ (Študentská vedecká činnosť) based on my Bachelor thesis with title "Design and architecture of a web applications for interactive display of criminal statistical data".
This document discusses how business analytics can help improve the Indian power sector. It explains that business analytics can help better manage the power sector to make it more financially viable and promote competition, in line with objectives of the Indian Electricity Act of 2003. The document outlines the role of integrating business analytics with big data in the power sector. It also discusses software requirements and attributes needed for business analytics in power generation, transmission and distribution utilities. Finally, it provides examples of how business analytics can help analyze customer data, transmission losses, revenue realization, plant efficiencies, load forecasting, and support faster decision making.
IRJET- Event Compass - An Event Management ApplicationIRJET Journal
This document describes an event management mobile application called Event Compass. The application aims to simplify event planning and management by automating tasks and providing a centralized platform. It allows users to browse vendors, compare rates, select services, and receive estimates. The application was created to reduce paperwork, improve organization, and make event coordination easier for individuals and groups. It integrates registration, scheduling, invitations, and communication features in one mobile application. The document discusses the technical feasibility, operational feasibility, and financial feasibility of the application.
The document outlines a new data project plan for DERAK, an analytical support team for a young credit card company. It describes the company background and goals of consolidating various data sources. A SWOT analysis is presented identifying strengths, weaknesses, opportunities and threats. Key issues of understanding customers, credit risk, and fraud are discussed. Plans are outlined for acquiring, storing, maintaining, and accessing data from various sources like customer databases, social media, and mobile phones. Issues around data integration, storage, governance and access are addressed.
Glossary of tools available for the field of Analytics. Research done on Google, hence no claims on accuracy. Please use this as a directional insights into the tools available for Analytics. Also the research is about a year old, and there have been many wonderful new tools in the market today, so please do your own research to get updated info.
Big data analytics is becoming important to process unimaginably large amounts of information and data in many applications. The typical big data analytics is Hadoop, an open-source software framework that supports data-intensive distributed applications, and the running of applications on large clusters of commodity hardware. Hadoop, that is based on the architectural framework MapReduce, collects both structured data and unstructured data, processes the collected data set in a distributed network cluster in parallel, and extracts valuable information from the processed data set within a short time. Followings illustrate some examples of patents that provide current status of the big data analytics applications.
The document provides information on Appsian360 software for monitoring ERP systems like SAP and PeopleSoft. It summarizes key features as real-time monitoring of data access and usage, with dashboards providing insights on users, locations, devices and more. It also describes monitoring user activity and productivity, threat detection and incident response, and business risk management.
Best Practices - Mission-Critical SystemsJoe Guido
The document discusses best practices for mission-critical systems, including ensuring accuracy of data through rigorous data validation rules, providing transparency of processes by electronically recording all user actions, and achieving fiscal accountability by validating and controlling the movement of data. It also covers sustainability through streamlining processes into electronic workflows, and the use of event management to electronically capture all data movements for tracking, analysis and transparency.
ŠVOČ: Design and architecture of a web applications for interactive display o...Martin Puškáč
My ŠVOČ (Študentská vedecká činnosť) based on my Bachelor thesis with title "Design and architecture of a web applications for interactive display of criminal statistical data".
This document discusses how business analytics can help improve the Indian power sector. It explains that business analytics can help better manage the power sector to make it more financially viable and promote competition, in line with objectives of the Indian Electricity Act of 2003. The document outlines the role of integrating business analytics with big data in the power sector. It also discusses software requirements and attributes needed for business analytics in power generation, transmission and distribution utilities. Finally, it provides examples of how business analytics can help analyze customer data, transmission losses, revenue realization, plant efficiencies, load forecasting, and support faster decision making.
IRJET- Event Compass - An Event Management ApplicationIRJET Journal
This document describes an event management mobile application called Event Compass. The application aims to simplify event planning and management by automating tasks and providing a centralized platform. It allows users to browse vendors, compare rates, select services, and receive estimates. The application was created to reduce paperwork, improve organization, and make event coordination easier for individuals and groups. It integrates registration, scheduling, invitations, and communication features in one mobile application. The document discusses the technical feasibility, operational feasibility, and financial feasibility of the application.
The document outlines a new data project plan for DERAK, an analytical support team for a young credit card company. It describes the company background and goals of consolidating various data sources. A SWOT analysis is presented identifying strengths, weaknesses, opportunities and threats. Key issues of understanding customers, credit risk, and fraud are discussed. Plans are outlined for acquiring, storing, maintaining, and accessing data from various sources like customer databases, social media, and mobile phones. Issues around data integration, storage, governance and access are addressed.
Information systems can support the order fulfillment process in several ways:
1. Sales can generate and submit orders using portable computers connected to corporate databases, allowing instant access to information.
2. Accounting verifies customer credit and generates invoices, notifying warehouses of new orders via integrated systems like Oracle Enterprise.
3. Manufacturing uses warehouse management software, scanners, and wireless networks to streamline order assembly and shipping.
This document discusses considerations for evaluating controls over the use of spreadsheets as part of complying with Section 404 of the Sarbanes-Oxley Act. It notes that many companies rely heavily on spreadsheets for financial reporting and operations. The document provides a 5-step process for evaluating spreadsheet controls which includes inventorying spreadsheets, evaluating their use and complexity, determining necessary controls, evaluating existing controls, and developing plans to remediate any deficiencies. It also discusses potential risks with spreadsheets, categories of spreadsheet use and complexity, and examples of controls that should be considered.
White Paper-1-AnalytiX Mapping Manager-Governance And Architecture In Data In...AnalytixDataServices
The document discusses starting a data governance program in an agile way using AnalytiXTM Mapping ManagerTM. It describes AnalytiXTM Mapping ManagerTM as a tool that can help address metadata management gaps, document data mappings and rules, and establish data stewardship to enable regulatory compliance. Implementing AnalytiXTM Mapping ManagerTM allows jumping starting a data governance program by providing standardized metadata management, version control, and data lineage tracing across data integration projects.
Governance and Architecture in Data IntegrationAnalytiX DS
This document discusses starting a data governance program in an agile way using AnalytiXTM Mapping ManagerTM. It describes AnalytiXTM Mapping ManagerTM as an enterprise mapping tool that can manage all metadata related to data integration projects, including documenting mappings, business rules, and providing traceability and auditability of data. Implementing AnalytiXTM Mapping ManagerTM can help satisfy regulatory compliance needs like those in the Sarbanes-Oxley Act by providing a centralized metadata repository and standardizing processes. Starting a data governance program with AnalytiXTM Mapping ManagerTM can help address metadata management gaps and jumpstart governance in a flexible manner.
This document provides an overview of Intelligent Process Automation (IPA). IPA combines process automation, robotic process automation (RPA), and machine learning (ML) to advance businesses. It allows organizations to automate processes involving unstructured content like text and images without large training data. IPA encompasses RPA, smart workflow, machine learning, natural language generation, and cognitive agents. RPA automates routine tasks through user interfaces like software robots. Smart workflow integrates tasks performed by humans and machines. Machine learning uses algorithms to identify patterns in structured data through supervised and unsupervised learning. IPA has benefits such as improved efficiency, reduced costs, and new insights from data analytics.
Computer Assisted Audit Techniques (CAATS) - IS AUDITShahzeb Pirzada
This document discusses computer assisted audit techniques (CAATS) which are tools used by auditors to analyze large amounts of client data. It describes two categories of CAATs - audit software, which can extract samples, check ratios, and perform other procedures; and test data, which involves submitting test transactions to check for errors. The benefits of CAATs include independent data access, testing of IT controls, and more efficient audits. Potential disadvantages include costs, client cooperation, and requiring specialized IT skills.
In this talk, Ashrith will be introducing you to the idea of using machine learning for detecting money laundering. The idea behind using ML for detecting money laundering is that the current rules-based engine have limited visibility into money movement. And as models learn the nuances of money movement, especially illegal, much better money laundering detection is possible.
Bio: Ashrith Barthur is a Security Scientist at H2O currently working on algorithms that detect anomalous behaviour in user activities, network traffic, attacks, financial fraud and global money movement. He has a PhD from Purdue University in the field of information security, specialized in Anomalous behaviour in DNS protocol.
https://www.linkedin.com/in/abarthur/
RESEARCH CHALLENGES IN WEB ANALYTICS – A STUDYIRJET Journal
This document discusses research challenges in web analytics. It begins with an introduction to web analytics and its uses and features such as improving user experience, enhancing e-commerce, and tracking marketing campaigns. Some common web analytics tools are then described such as Google Analytics, Excel, and Tableau. The web analytics process involves defining goals, collecting and analyzing data, reporting results, developing online strategies, and testing improvements. Key research challenges discussed include data privacy issues, evaluating e-commerce sites using tools like Google Analytics, and using analytics to improve access to archival resources online.
Detection of Behavior using Machine LearningIRJET Journal
This document discusses using machine learning algorithms to analyze user behavior and predict future behavior based on browsing history data. The researchers collected browsing history data from 20 computers in a lab over various time periods. They extracted features from the data like URL, title, time of visit, and categorized browsing into types like social media, academic, shopping etc. They then trained machine learning models like SVM on 80% of the data and tested it on the remaining 20% to classify users and predict their future behavior. The goal is to develop personalized services and detect anomalies in behavior.
This document describes a website health checker system that monitors websites and sends alert messages if issues are detected. It discusses the need for website monitoring to ensure high performance and availability. The proposed system uses a cron job to continuously send ICMP requests to monitored websites and triggers alerts via email or SMS if response times exceed thresholds. It is implemented using the Flask web framework with a user interface to add domains and view monitoring results. The system aims to rapidly detect and correct problems before users are impacted through real-time alerts.
driving_business_value_from_real_time_streaming_analyticsJane Roberts
Real-time streaming analytics processes data as it is generated to identify patterns and insights without disrupting existing systems. This allows businesses to act with certainty on the latest data and make complex decisions more easily. The document discusses use cases like predictive maintenance, customer behavior analytics, and internet of things analytics. It also introduces StreamAnalytix, a streaming analytics platform that can build applications across industries using a visual interface and integration with Hadoop.
This document discusses eight criteria for choosing a self-service analytics platform: 1) Usability - The interface should be intuitive for both power users and non-technical users. 2) Scalability - The platform should be able to support a growing user base without increasing costs. 3) Security - The platform must have strong data security to safely share information with external users. 4) Data services and integration - The platform should integrate data from various sources and enable access for users. 5) Functionality - The platform should have a broad range of capabilities in a single system to meet different user needs. Real-world examples are provided to illustrate how companies have benefited from self-service analytics.
Cyfin is an employee web monitoring and analytics solution that provides managers with reports on employee internet usage. It offers interactive dashboards and over 25 report templates that provide high-level summaries and detailed forensic reports. Reports can be scheduled for automatic delivery. Cyfin categorizes websites into over 70 standard categories to help analyze employee web use and productivity. It aims to give managers visibility into internet activity without IT assistance to address issues like lost productivity and legal liability from inappropriate use.
The document proposes a finger gesture-based rating system using computer vision and cloud computing. The system would allow customers to provide ratings for products and services by holding up a corresponding number of fingers, from 1 to 5. Computer vision techniques would recognize the gesture and record the rating in a collective database in the cloud. This universal database could then provide aggregated rating data across multiple companies for improved analytics. The system aims to provide a more efficient and engaging way for customers to submit feedback compared to traditional rating methods.
Web analytics involves analyzing data from websites and web pages. It can identify areas of risk, fraud, or ineffectiveness and influence business decisions. Web 2.0 analytics analyzes quantitative and qualitative data from websites to improve customers' online experiences and achieve expected results. Metrics like bounce rate, traffic sources, and abandonment rate are important to analyze. Popular web analytics tools include Google Analytics, True Social Metrics, and Kissmetrics. Mobile analytics differs from web analytics due to differences in how users interact with mobile apps versus websites.
Web analytics involves analyzing data from websites and web pages. It can identify areas of risk, fraud, or ineffectiveness and influence business decisions. Web 2.0 analytics analyzes quantitative and qualitative data from websites to improve customers' online experiences and achieve expected results. Metrics like bounce rate, traffic sources, and abandonment rate are important to analyze. Popular web analytics tools include Google Analytics, True Social Metrics, and Kissmetrics. Mobile analytics differs from web analytics due to differences in how users interact with mobile apps versus websites.
This document discusses a study on tracking user navigation and analyzing user behavior on single page applications. The researchers developed an approach to track user clicks and activities on an application interface. This navigation tracking could be useful for organizations to monitor employee activities and analyze their performance on platforms like ERP systems. The tracked clickstream data would be stored in a database and analyzed using techniques like data mining. Reports of the analysis would be generated and shown to administrators in graphical formats like bar graphs and pie charts on a monthly, daily, or hourly basis. This navigation tracking and analysis could help organizations with future decision making and predicting if employees are engaging in improper or fraudulent activities.
This document provides summaries of trends in IT, including cloud computing, business analytics, artificial intelligence and machine learning, and database management systems. It discusses how cloud computing allows users to access computing resources over the internet rather than owning hardware. It also explains how business analytics uses data and modeling to help businesses make decisions, and how artificial intelligence and machine learning use algorithms to enable machines to learn from data and mimic human behavior. Finally, it defines a database management system as software that interfaces with databases and allows users to organize, access, and manage data.
The document discusses several MCA projects including:
1) A medical information integration model using cloud computing to provide storage and computing capacity for medical data analysis.
2) A customer relationship and warehouse management system to optimize revenue and customer satisfaction.
3) An issue tracking, managing, monitoring and reporting system for an IT department.
The document discusses several MCA projects including:
1) A medical information integration model using cloud computing to provide storage and computing capacity for medical data analysis.
2) A customer relationship and warehouse management system to optimize revenue and customer satisfaction.
3) An issue tracking, managing, monitoring and reporting system for an IT department.
The document discusses several MCA projects including:
1) A medical information integration model using cloud computing to provide storage and computing capacity for medical data analysis.
2) A customer relationship and warehouse management system to optimize revenue and customer satisfaction.
3) An issue tracking, managing, monitoring and reporting system for an IT department.
Information systems can support the order fulfillment process in several ways:
1. Sales can generate and submit orders using portable computers connected to corporate databases, allowing instant access to information.
2. Accounting verifies customer credit and generates invoices, notifying warehouses of new orders via integrated systems like Oracle Enterprise.
3. Manufacturing uses warehouse management software, scanners, and wireless networks to streamline order assembly and shipping.
This document discusses considerations for evaluating controls over the use of spreadsheets as part of complying with Section 404 of the Sarbanes-Oxley Act. It notes that many companies rely heavily on spreadsheets for financial reporting and operations. The document provides a 5-step process for evaluating spreadsheet controls which includes inventorying spreadsheets, evaluating their use and complexity, determining necessary controls, evaluating existing controls, and developing plans to remediate any deficiencies. It also discusses potential risks with spreadsheets, categories of spreadsheet use and complexity, and examples of controls that should be considered.
White Paper-1-AnalytiX Mapping Manager-Governance And Architecture In Data In...AnalytixDataServices
The document discusses starting a data governance program in an agile way using AnalytiXTM Mapping ManagerTM. It describes AnalytiXTM Mapping ManagerTM as a tool that can help address metadata management gaps, document data mappings and rules, and establish data stewardship to enable regulatory compliance. Implementing AnalytiXTM Mapping ManagerTM allows jumping starting a data governance program by providing standardized metadata management, version control, and data lineage tracing across data integration projects.
Governance and Architecture in Data IntegrationAnalytiX DS
This document discusses starting a data governance program in an agile way using AnalytiXTM Mapping ManagerTM. It describes AnalytiXTM Mapping ManagerTM as an enterprise mapping tool that can manage all metadata related to data integration projects, including documenting mappings, business rules, and providing traceability and auditability of data. Implementing AnalytiXTM Mapping ManagerTM can help satisfy regulatory compliance needs like those in the Sarbanes-Oxley Act by providing a centralized metadata repository and standardizing processes. Starting a data governance program with AnalytiXTM Mapping ManagerTM can help address metadata management gaps and jumpstart governance in a flexible manner.
This document provides an overview of Intelligent Process Automation (IPA). IPA combines process automation, robotic process automation (RPA), and machine learning (ML) to advance businesses. It allows organizations to automate processes involving unstructured content like text and images without large training data. IPA encompasses RPA, smart workflow, machine learning, natural language generation, and cognitive agents. RPA automates routine tasks through user interfaces like software robots. Smart workflow integrates tasks performed by humans and machines. Machine learning uses algorithms to identify patterns in structured data through supervised and unsupervised learning. IPA has benefits such as improved efficiency, reduced costs, and new insights from data analytics.
Computer Assisted Audit Techniques (CAATS) - IS AUDITShahzeb Pirzada
This document discusses computer assisted audit techniques (CAATS) which are tools used by auditors to analyze large amounts of client data. It describes two categories of CAATs - audit software, which can extract samples, check ratios, and perform other procedures; and test data, which involves submitting test transactions to check for errors. The benefits of CAATs include independent data access, testing of IT controls, and more efficient audits. Potential disadvantages include costs, client cooperation, and requiring specialized IT skills.
In this talk, Ashrith will be introducing you to the idea of using machine learning for detecting money laundering. The idea behind using ML for detecting money laundering is that the current rules-based engine have limited visibility into money movement. And as models learn the nuances of money movement, especially illegal, much better money laundering detection is possible.
Bio: Ashrith Barthur is a Security Scientist at H2O currently working on algorithms that detect anomalous behaviour in user activities, network traffic, attacks, financial fraud and global money movement. He has a PhD from Purdue University in the field of information security, specialized in Anomalous behaviour in DNS protocol.
https://www.linkedin.com/in/abarthur/
RESEARCH CHALLENGES IN WEB ANALYTICS – A STUDYIRJET Journal
This document discusses research challenges in web analytics. It begins with an introduction to web analytics and its uses and features such as improving user experience, enhancing e-commerce, and tracking marketing campaigns. Some common web analytics tools are then described such as Google Analytics, Excel, and Tableau. The web analytics process involves defining goals, collecting and analyzing data, reporting results, developing online strategies, and testing improvements. Key research challenges discussed include data privacy issues, evaluating e-commerce sites using tools like Google Analytics, and using analytics to improve access to archival resources online.
Detection of Behavior using Machine LearningIRJET Journal
This document discusses using machine learning algorithms to analyze user behavior and predict future behavior based on browsing history data. The researchers collected browsing history data from 20 computers in a lab over various time periods. They extracted features from the data like URL, title, time of visit, and categorized browsing into types like social media, academic, shopping etc. They then trained machine learning models like SVM on 80% of the data and tested it on the remaining 20% to classify users and predict their future behavior. The goal is to develop personalized services and detect anomalies in behavior.
This document describes a website health checker system that monitors websites and sends alert messages if issues are detected. It discusses the need for website monitoring to ensure high performance and availability. The proposed system uses a cron job to continuously send ICMP requests to monitored websites and triggers alerts via email or SMS if response times exceed thresholds. It is implemented using the Flask web framework with a user interface to add domains and view monitoring results. The system aims to rapidly detect and correct problems before users are impacted through real-time alerts.
driving_business_value_from_real_time_streaming_analyticsJane Roberts
Real-time streaming analytics processes data as it is generated to identify patterns and insights without disrupting existing systems. This allows businesses to act with certainty on the latest data and make complex decisions more easily. The document discusses use cases like predictive maintenance, customer behavior analytics, and internet of things analytics. It also introduces StreamAnalytix, a streaming analytics platform that can build applications across industries using a visual interface and integration with Hadoop.
This document discusses eight criteria for choosing a self-service analytics platform: 1) Usability - The interface should be intuitive for both power users and non-technical users. 2) Scalability - The platform should be able to support a growing user base without increasing costs. 3) Security - The platform must have strong data security to safely share information with external users. 4) Data services and integration - The platform should integrate data from various sources and enable access for users. 5) Functionality - The platform should have a broad range of capabilities in a single system to meet different user needs. Real-world examples are provided to illustrate how companies have benefited from self-service analytics.
Cyfin is an employee web monitoring and analytics solution that provides managers with reports on employee internet usage. It offers interactive dashboards and over 25 report templates that provide high-level summaries and detailed forensic reports. Reports can be scheduled for automatic delivery. Cyfin categorizes websites into over 70 standard categories to help analyze employee web use and productivity. It aims to give managers visibility into internet activity without IT assistance to address issues like lost productivity and legal liability from inappropriate use.
The document proposes a finger gesture-based rating system using computer vision and cloud computing. The system would allow customers to provide ratings for products and services by holding up a corresponding number of fingers, from 1 to 5. Computer vision techniques would recognize the gesture and record the rating in a collective database in the cloud. This universal database could then provide aggregated rating data across multiple companies for improved analytics. The system aims to provide a more efficient and engaging way for customers to submit feedback compared to traditional rating methods.
Web analytics involves analyzing data from websites and web pages. It can identify areas of risk, fraud, or ineffectiveness and influence business decisions. Web 2.0 analytics analyzes quantitative and qualitative data from websites to improve customers' online experiences and achieve expected results. Metrics like bounce rate, traffic sources, and abandonment rate are important to analyze. Popular web analytics tools include Google Analytics, True Social Metrics, and Kissmetrics. Mobile analytics differs from web analytics due to differences in how users interact with mobile apps versus websites.
Web analytics involves analyzing data from websites and web pages. It can identify areas of risk, fraud, or ineffectiveness and influence business decisions. Web 2.0 analytics analyzes quantitative and qualitative data from websites to improve customers' online experiences and achieve expected results. Metrics like bounce rate, traffic sources, and abandonment rate are important to analyze. Popular web analytics tools include Google Analytics, True Social Metrics, and Kissmetrics. Mobile analytics differs from web analytics due to differences in how users interact with mobile apps versus websites.
This document discusses a study on tracking user navigation and analyzing user behavior on single page applications. The researchers developed an approach to track user clicks and activities on an application interface. This navigation tracking could be useful for organizations to monitor employee activities and analyze their performance on platforms like ERP systems. The tracked clickstream data would be stored in a database and analyzed using techniques like data mining. Reports of the analysis would be generated and shown to administrators in graphical formats like bar graphs and pie charts on a monthly, daily, or hourly basis. This navigation tracking and analysis could help organizations with future decision making and predicting if employees are engaging in improper or fraudulent activities.
This document provides summaries of trends in IT, including cloud computing, business analytics, artificial intelligence and machine learning, and database management systems. It discusses how cloud computing allows users to access computing resources over the internet rather than owning hardware. It also explains how business analytics uses data and modeling to help businesses make decisions, and how artificial intelligence and machine learning use algorithms to enable machines to learn from data and mimic human behavior. Finally, it defines a database management system as software that interfaces with databases and allows users to organize, access, and manage data.
The document discusses several MCA projects including:
1) A medical information integration model using cloud computing to provide storage and computing capacity for medical data analysis.
2) A customer relationship and warehouse management system to optimize revenue and customer satisfaction.
3) An issue tracking, managing, monitoring and reporting system for an IT department.
The document discusses several MCA projects including:
1) A medical information integration model using cloud computing to provide storage and computing capacity for medical data analysis.
2) A customer relationship and warehouse management system to optimize revenue and customer satisfaction.
3) An issue tracking, managing, monitoring and reporting system for an IT department.
The document discusses several MCA projects including:
1) A medical information integration model using cloud computing to provide storage and computing capacity for medical data analysis.
2) A customer relationship and warehouse management system to optimize revenue and customer satisfaction.
3) An issue tracking, managing, monitoring and reporting system for an IT department.
The document discusses several MCA projects including:
1) A medical information integration model using cloud computing to provide storage and computing capacity for medical data analysis.
2) A customer relationship and warehouse management system to optimize revenue and customer satisfaction.
3) An issue tracking, managing, monitoring and reporting system for an IT department.
The document discusses several MCA projects including:
1) A medical information integration model using cloud computing to provide storage and computing capacity for medical data analysis.
2) A customer relationship and warehouse management system to optimize revenue and customer satisfaction.
3) An issue tracking, managing, monitoring and reporting system for an IT department.
The document discusses several MCA projects including:
1. A medical information integration model using cloud computing to provide data storage and analysis for medical departments and workers.
2. A customer relationship and warehouse management system to optimize revenue, customer satisfaction and understanding.
3. An issue tracking, managing, monitoring and reporting system for IT departments to access shared data and history.
The document discusses several MCA projects including:
1) A medical information integration model using cloud computing to provide storage and computing capacity for medical data analysis.
2) A customer relationship and warehouse management system to optimize revenue and customer satisfaction.
3) An issue tracking, managing, monitoring and reporting system for an IT department.
The document discusses several MCA projects including:
1) A medical information integration model using cloud computing to provide storage and computing capacity for medical data analysis.
2) A customer relationship and warehouse management system to optimize revenue and customer satisfaction.
3) An issue tracking, managing, monitoring and reporting system for an IT department.
The document discusses several MCA projects including:
1) A medical information integration model using cloud computing to provide storage and computing capacity for medical data analysis.
2) A customer relationship and warehouse management system to optimize revenue and customer satisfaction.
3) An issue tracking, managing, monitoring and reporting system for an IT department.
Similar to Reporting Types and Smart Engine Analytics (20)
Cyfin supports your Web-use reporting needs with customized reporting capabilities to supply different audiences in the
company with information specific to their needs, increasing efficiency and productivity. With the availability of reporting
tools, such as dashboard charts, reliable metrics, detailed audit reports, and Smart Engine analytics, the right information
gets to the right people to drive decisions and actions.
Due to increasing security concerns across different industries, such as law enforcement, defense, banking, health care, information technology, and education, the market for computer or digital forensics is witnessing substantial growth. Wavecrest has over 20 years of proven history addressing forensic requirements across various industries. Cyfin is a court-cited, forensic investigation solution capable of significantly reducing case investigative times by allowing you to gather and analyze pertinent evidence in a rapid, cost-effective manner.
Whether you are a large organization with an internal Investigations department or an independent Forensics Investigator, you will experience a significant increase in productivity which equates to decreased cost per investigation. In addition to identifying evidence faster with Cyfin, pinpoint supporting relevant activity that may be of value and have more time to focus on the actual investigation.
Since 1996, Wavecrest Computing has provided business and government clients with reliable, accurate employee Web-access security, employee Webuse monitoring and analytics, and Cloud Access Security Broker (CASB) solutions. IT specialists, HR professionals, and business managers trust Wavecrest’s Cyfin® and CyBlock® products to manage employee Internet usage with today’s distributed workforce in mind–reducing liability risks, improving productivity, managing cloud services, saving bandwidth, and controlling costs.
CyBlock Software provides the maximum flexibility of and control over product installation, that is, it can be installed on a wide variety of hardware and can make use of existing servers. It can be deployed as a stand-alone program that runs on a physical server, run on a virtual machine (VM) that can be set up on any host platform, or installed in an array configuration where multiple installations are managed from one primary location.
CyBlock secure Web gateway appliances have flexible production options to support a multitude of business needs and sizes, including inline installation as well as the option to set your gateway to act as a proxy. Available in mini and fullsize appliances, paired or deployed individually, both offer a vendor-configured and optimized solution, turnkey hardware installation, and minimum entry cost.
CyBlock Hybrid provides a flexible Web security solution, combining a local CyBlock Web gateway installation with a CyBlock Cloud service. The local Web gateway implementation could be CyBlock Software, CyBlock Appliance, or CyBlock Mini Appliance. The hybrid deployment uses CyBlock Cloud to extend Web security to off-premises employees, for example, those at hotels and airports.
CyBlock Cloud for MSPs provides ConnectWise integration for MSP Partners to easily manage licenses, analyze data, and protect customers from Web-borne threats. Increase your new and recurring revenue streams and deliver high-value customer satisfaction, all in a deployment requiring no hardware or software to buy and install, and no maintenance.
Our MSP Partner Program is built with your MSP challenges
and goals in mind. As a Wavecrest valued partner, you
will provide the key to your customers’ Web-access
security needs while achieving high profitability, growth,
and competitive advantage. You will see high customer
satisfaction, translating into predictable, recurring revenue,
referrals, and a larger customer footprint.
Identify potential insider threat behavior, flag possible legal liability issues, and observe behavioral patterns for lost productivity with report metrics.
A captive portal offers an easy setup and may be a viable solution to support your organization. It works well for users who want to access your network with devices, such as laptops, tablets, and smartphones.
Our expert panelists will discuss ways to stay ahead of the insidi-ous attacks of hackers and cyber thieves. Dennis McCabe, Wavecrest Computing, will round out the dis-cussion with how most intrusions occur and ways to reduce the risk and protect your company.
Celebrating 20 years in business, Wavecrest Computing, headquartered in historic downtown Melbourne, FL, has provided commercial business and government clients with reliable, accurate Web-use management and Cloud Access Security Broker products since 1996. Managed Service Providers, IT specialists, HR professionals, and business managers trust Wavecrest’s Cyfin and CyBlock products to manage employee Internet usage — managing cloud services, reducing liability risks, improving productivity, saving bandwidth, and controlling costs. Wavecrest has clients worldwide, including General Electric, Lockheed Martin, Florida Department of Health, Siemens, Department of Homeland Security, and a growing list of global enterprises and government agencies. We are a proud long-term GSA contract holder. For more information on the company, products, and partners, visit http://www.wavecrest.net.
Detect, Analyze, and Manage Cloud Services in the EnterpriseWavecrest Computing
According to a recent cloud adoption report, the average company uses 162 collaboration services, 51 development services, 49 file sharing services, 42 content sharing services, & so on. As cloud adoption continues to grow, organizations need a way to enable cloud apps & services for employees to remain productive, while ensuring data security & compliance. You can find crucial visibility into the cloud apps and services that your employees are using. Detect, Analyze, and Manage Cloud Services in the Enterprise.
The CyBlock App from Wavecrest enables companies to easily manage and enforce acceptable use policies on employee iOS devices through web filtering and threat protection. The app monitors web traffic and blocks categories defined in the company's blocking policy. It provides affordable mobile security while balancing security needs with low cost. The app is configured through Wavecrest's CyBlock Cloud service.
The document discusses how CyBlock Directory Agent can synchronize a company's Active Directory with its CyBlock Cloud service. It provides an overview of how the Directory Agent works, including installing it on a computer with access to Active Directory and the cloud service. It then pairs the Agent with the cloud account and imports users and groups from Active Directory to synchronize them with the cloud service. This allows companies to leverage their existing on-premises Active Directory user accounts within CyBlock Cloud without needing to manage separate user directories.
SSL inspection allows CyBlock to analyze encrypted HTTPS traffic and help organizations better identify security threats. It works by decrypting, analyzing, and recategorizing traffic before forwarding non-threatening requests. Companies can choose to inspect all traffic, no traffic, or selectively inspect certain users and categories. Selective inspection provides flexibility while still protecting sensitive destinations. SSL inspection improves security but may introduce latency, so companies typically exempt trusted sites.
Prioritize network traffic and increase network QoS with CyBlock Bandwidth Ma...Wavecrest Computing
In the current Internet-connected enterprise, constant and rapid changes require IT to have proactive control over the organization’s bandwidth. Many organizations now allow the use of tools such as DropBox, social media, and streaming, as well as BYOD use for, and during, business operations. The idea is to use these tools for business productivity. But then combine this with any personal use of these tools, or other services, and you have a bandwidth drain on the company network. For an IT administrator, this holds many more challenges in how to make sure priorities are set for bandwidth. With CyBlock’s Bandwidth Management feature, we can help you battle bandwidth hogs, improving your network QoS and keeping your mission-critical operations running smoothly!
CyBlock Hybrid offers a flexible web security solution that allows organizations to manage internet access policies for both on-premises and remote employees from a single interface. The Hybrid deployment extends CyBlock's web filtering and monitoring capabilities to off-premises employees using CyBlock Cloud. Remote employee web traffic is routed through the CyBlock Cloud server where the synchronized policies from the on-premises CyBlock installation are applied. This allows organizations to secure remote and mobile users without routing their traffic back to the main office.
CyBlock Client provides the ability to administratively lock down and control users’ access to the Internet. Ensures that your Internet users are going through CyBlock.
• No need to configure browser settings on each user’s
computer.
• Devices seamlessly transition between on-site and
remote.
• Works with CyBlock Appliance, Software, and Cloud.
• Uses Thin Client technology.
• Easy to set up and manage.
• Autodetects network changes.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
2. Wavecrest Computing Reporting Types and Smart Engine Analytics page 2
Introduction
In order to keep enterprise networks secure and operating efficiently, organizations need to have
clear visibility into the Internet traffic traversing their networks. IT personnel need access to real-time
information related to employee Web use and the health or performance of the network. Managers and
HR personnel are more concerned with human behavior in the workplace and want data related to high
Internet activity as well as the details of and patterns in employee Web use. They and other users, such
as forensic investigators, may need more analytical, precise information related to visited sites, user
names, time spent online, and content categories, spanning a long period of time.
One issue that organizations face is that the right information is not getting to the right people in the
right format. That is to say, managers who may want to address productivity issues with employees,
based on their Internet use or abuse, do not have the information in an easy-to-read and actionable
format. They may not even have reporting access to their department’s Web activity whether through
data visualizations such as charts, e-mailed reports, or a manager portal. Another issue is that if there is
reporting on Web traffic in the organization, it may be inadequate in showing relevant human behavior in
the workplace. Without knowing the human behavior in the organization, management is unable to define
what is normal and flag anomalies that may indicate insider threats, that is, human actions, whether
unintentional mistakes or malicious acts, that threaten data security. They are also unable to detect trends
in workforce productivity or determine whether an employee is in compliance with corporate policy.
Reporting dashboards and reporting engines provide several benefits for IT staff, administrators,
managers, HR personnel, and other users. They can provide specific information to a specific audience
in the company, increasing efficiency and productivity. These reporting tools can be used for analysis of
human behavior and system health which allows companies to manage and control employee Internet
use as well as network performance and security. They can be customized to offer different types of
analyses for different users and therefore serve different purposes. They comprise different reporting
types such as Operational, Strategic, and Analytical reporting. Reporting engines, also called Smart
Engines, feed the data to these tools and provide the analytics necessary for accurate, actionable
reporting. Reporting types and Smart Engines are discussed below.
Reporting Types and Smart Engines
Operational reporting shows activity that is happening now and is based on real-time data. With this
reporting type, IT can monitor current employee Web activity and system performance, and the data is
updated frequently. Operational reporting components are designed to be viewed multiple times during
the day.
Strategic reporting provides information at set time frames, and its individual visualizations, such
as dashboard charts, are updated on a recurring basis at less frequent intervals. In relation to key
performance indicators or metrics, Strategic reporting can show a snapshot of top consumer Web activity
with interactive visualizations providing the details.
Analytical reporting shows patterns of activity over time as well as comparisons of Web traffic occurring
in specific time frames. Its data visualizations may consist of trend and comparison charts as well as
detailed audit reports, allowing you to analyze large volumes of Web activity data for long-term audits and
forensic investigations.
Reporting engines provide the analytics for all reporting types, ensuring that companies have adequate
information to manage and control employee Web use. Smart Engine analytics affords detailed analysis,
3. Wavecrest Computing Reporting Types and Smart Engine Analytics page 3
permitting the investigation of trends, policy violation, Internet misuse, and ultimately, human behavior.
For companies struggling to address the human factor of cybersecurity, the Smart Engine is a necessity to
get the best possible insight into the security issues affecting the IT environment and the human behavior
occurring in the workplace.
To support your Web-use reporting needs, Wavecrest provides customized reporting capabilities to
supply different audiences in the company with information specific to their needs. The organization can
then observe normal human behavior and detect anomalies with the availability of dashboard charts,
metrics, reports, and Smart Engine analytics. The company also saves time and money by serving
dashboards, reports, and metrics from an easy-to-use portal. Most importantly, with Smart Engine
analytics, the Smart Engine catches what you might miss with large volumes of data and allows you to
identify issues faster.
Wavecrest’s Reporting Capabilities
While one audience may have specific Web-use data needs, there will be overlap in the types of Web-
use reporting tools best suited for that audience. The important thing is that that audience’s questions are
being answered by the reporting tools to drive decisions and actions, that is, the right information is getting
to the right people.
Operational
Operational reporting covers two areas: real-time employee Web-use metrics and real-time system
metrics--pertinent information for IT personnel. With real-time employee Web-use metrics, IT can monitor
Web activity in real time by user, URL, and content category. IT personnel can also monitor the employee
bandwidth consumption in the enterprise. Based on an established threshold, bandwidth can be
throttled using a content category control policy or a group control policy. Alerts are triggered and e-mail
notifications are sent when thresholds are reached. Real-time employee Web-use metrics give a real-
time running display of the browsing behavior of employees, that is, current user activity, and identifies
bandwidth hogs in real time.
Real-Time Employee Web-Use Metrics
With real-time system metrics, IT personnel can monitor the health status of different aspects of the
system. These include the overall status of the application server, system information such as memory,
disk utilization, and number of threads, the validity of all log file data, the success of imported log files, jobs
queued for processing, and product event errors and messages on various processes such as scheduling
reports and importing data.
4. Wavecrest Computing Reporting Types and Smart Engine Analytics page 4
Strategic
Strategic reporting summarizes performance over set time frames, for example, last week or last month.
This data may be of interest to managers and HR personnel as well as IT staff. Dashboard Top charts
depict Web use for the top users, groups, categories, classifications, and sites in the enterprise. With
these interactive visualizations, management can quickly discover and track which users, categories,
or sites had the most activity, how much time users are spending online, and so on. With drill-down
capability, these charts can provide the details of user Web activity for audits and investigations.
Top Users Chart
Analytical
Analytical reporting shows trends in data over time as well as comparisons of Web activity. This data may
be of interest to managers and HR personnel. Dashboard Trend charts depict Web activity for a selected
user, group, category, or classification, or traffic data in hourly or daily increments for a predefined date
range, such as Yesterday, Previous 24 Hours, and Last 7 Days. Data can also be viewed for custom date
ranges. Trend charts also allow you to compare the Web traffic for a set date range with that of a previous
period to detect any anomalies in Web activity.
5. Wavecrest Computing Reporting Types and Smart Engine Analytics page 5
Top Categories Trend Chart
Also included as part of Analytical reporting are categorized audit reports that deliver a comprehensive
analysis of user activity including their visits, search terms, and inappropriate sites. These low-level audit
reports allow you to get a detailed analysis of a single user’s visits including the site’s category and full
URL, view search terms that a user entered on popular search sites such as Google, and see specific
URLs to which a user was denied. They can be quickly run as ad hoc reports saving you time in your audit
or investigation.
Smart Engine Analytics
Smart Engine analytics provide the data for Wavecrest reporting. With its precise algorithms, the Smart
Engine is used by charts and reports to present accurate and up-to-date Web-use data. The Smart
Engine utilizes algorithms that perform functions such as determining visits, user names, and time online
from Web traffic, and categorizing URLs into logical groups based on content. Without the Smart Engine
and its analytics, the reporting components could not provide the adequate information that your company
needs to manage employee Web use. The Smart Engine makes technical data usable and manager-
ready. Examples of its algorithms are discussed below.
The differentiation between Web traffic hits and visits is of paramount importance for companies that
want to manage the human factor. True visits are actual user clicks that do not include multimedia URLs,
such as graphics, audio Web pages, advertisements, or Web pages that were requested as part of a visit,
that is, unsolicited. By identifying the content of each URL, the Wavecrest Visit algorithm distinguishes
between these user clicks and the unsolicited traffic, i.e., hits. The organization can then get a true,
meaningful picture of the level and type of Web activity occurring in the network.
When Web filtering and reporting products do not include user names in Web traffic records, user
Web activity is lost and unaccounted for. The company may not even know that this is occurring. The
Wavecrest User Name Caching algorithm uses the cache user name if available, versus the IP address,
allowing you to capture all activity of the user and get more detailed data in reporting.
When users are online, that is, on the Internet, they could be reading a Web page, performing another
task in a different application with the browser open, or possibly away from the computer entirely with
6. Wavecrest Computing Reporting Types and Smart Engine Analytics page 6
the browser open. The Wavecrest Time Online algorithm uses a highly accurate priority method for
calculating users’ time online. Managers and IT administrators can quickly see which users, categories,
sites, and so on had the most volume of activity and address any potential issues, such as productivity
loss, bandwidth slowdowns, and policy noncompliance.
The Wavecrest Categorization algorithm is designed to report on all Web activity. With a number of
standard and cloud service categories and an unlimited number of custom categories, the Categorization
algorithm categorizes the organization’s Web activity so that managers can analyze their employees’ Web
usage. Custom categories allow additional monitoring where you can create a white list for more tailored
reports so that custom URLs are included in or excluded from reporting. Wavecrest URL categorization
detects and identifies a broad range and a high percentage of total Web activity.
Conclusion
With a variety of audiences or users requiring very specific Web-use data, organizations seek and
require different types of Web-use reporting capabilities that will meet their needs. Operational, Strategic,
and Analytical reporting provide benefits for IT personnel, administrators, managers, HR staff, and
other users, and can be customized to meet the needs of the business. Operational reporting monitors
employee Web activity and network performance in real time. Strategic reporting provides snapshots
of Web activity with drill-down capability, identifying top Internet consumers. Analytical reporting shows
trends and comparisons in Web activity as well as detailed data.
Smart Engine analytics allows you to analyze large volumes of data over extended periods of time,
utilizing algorithms to determine precise data from Web traffic and feeding this data to the reporting
components. With its industry-leading algorithms, the key benefit of Wavecrest’s Smart Engine is
providing the manager-ready, actionable reporting that nontechnical personnel in the company needs.
Backed by its 20-plus years in monitoring and reporting on Web traffic, Wavecrest offers customized
reporting capabilities for all users in the organization to effectively manage and control employee Web use
as well as network performance.