Itmgmt500 S Smith Informative V3
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The document provides an overview of web analytics and the Omniture SiteCatalyst product. It defines web analytics as the study and measurement of user behavior on websites. The history of the field is traced back to WebTrends in the 1990s. Omniture is introduced as a leader in web analytics products since 1996. SiteCatalyst is highlighted as Omniture's tool that allows users to measure, analyze, and automate customer interactions to optimize business performance through real-time data and dashboards. Examples of Excel and Omniture dashboards are presented.
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http://www.insideanalysis.com
With all the innovations in compute power these days, one of the hardest hurdles to overcome is the tendency to think in old ways. By and large, the processing constraints of yesterday no longer apply. The new constraints revolve around the strategic management of data, and the effective use of business analytics. How can your organization take the helm in this new era of analysis?
Register for this episode of The Briefing Room to find out! Veteran Analyst Wayne Eckerson of The BI Leadership Forum, will explain how a handful of key innovations has significantly changed the game for data processing and analytics. He'll be briefed by John Santaferraro of Actian, who will tout his company's unique position in "scale-up and scale-out" for analyzing data.
Module 1 introduction to web analytics
This document provides an introduction to web analytics. It begins with explaining why web analytics is needed by discussing how offline marketing lacks accountability and measurability. It then defines web analytics as the measurement, collection, analysis and reporting of internet data to understand and optimize web usage. The document outlines different types of web analytics including on-site and off-site. It also discusses the history and context of web analytics within decision support systems and business intelligence. Finally, it covers the main website data collection methods of server log file analysis and page tagging.
Module 1 introduction to web analytics
This document provides an introduction to web analytics. It discusses why web analytics is needed to measure the success of digital marketing efforts. Web analytics involves measuring, collecting, analyzing and reporting internet data to understand and optimize web usage. There are two main methods for collecting web analytics data: server log file analysis and page tagging. Server log files record information from a website's server, while page tagging involves including tracking code on website pages that collects user interaction data. The document outlines the advantages and considerations of each data collection method.
Magneto implementation by synoptek
Synoptek helped two clients by developing custom integrations between their systems. For a luxury retailer, Synoptek integrated their Magento e-commerce system with their Dynamics AX ERP system, allowing real-time synchronization of data between the systems. This improved operations, reduced costs, and provided error-free customer experiences. For a skincare company, Synoptek implemented a recommendations feature in Magento that uses a questionnaire and backend rules to provide personalized product recommendations to customers based on their skin type and needs. Both integrations helped the clients improve their online customer experience and business operations.
Sakshay Web Technologies Pvt Ltd
Sakshay is a leading open source solutions company in India established in 2004. They specialize in web content management, ecommerce, web applications, mobile apps, and digital marketing. They have an experienced team of 100 professionals and follow a methodology of discovery, design, development, deployment, and delivery. They have developed solutions for clients in various industries including Biz2Credit and Asiana Mag.
RESEARCH CHALLENGES IN WEB ANALYTICS – A STUDY
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.
Google Analytics Training - full 2017
This document provides an agenda for a Google Analytics training session. The agenda includes topics such as getting started with Google Analytics, navigating the interface, audience, acquisition, behavior, and conversion reports. It also covers account administration, advanced tracking implementations, measuring content, importing and extracting data, and common applications of Google Analytics. The training emphasizes using Google Analytics for analysis rather than just reporting, and how to tell data-driven stories to different audiences. It provides best practices for setting up views and segments, understanding users, tracking campaigns and visitor engagement, and setting up conversion goals.
Google Analytics 101 Webinar
Google Analytics 101 provides an overview of web analytics and how to use Google Analytics. It discusses the difference between web metrics and web analytics, how Google Analytics works and its key features. It also covers setting up an account, activating tracking, and navigating the reporting interface to analyze metrics and optimize a website. The webinar demonstrates how to implement tracking code and shows examples of reports.
AI Solutions for Industries (short)
Empowering Industries with Artificial Intelligence Solutions. At byteLAKE, we harness cutting-edge technology to provide advanced quality inspection and data insights tailored for the Manufacturing, Automotive, Paper, Chemical, and Energy sectors. Additionally, we offer self-checkout stations for Restaurants and object recognition solutions for Retail businesses.
Explore our featured products:
► byteLAKE's CFD Suite: Accelerate your Computational Fluid Dynamics (CFD) simulations by leveraging the speed and efficiency of artificial intelligence. Slash simulation times, minimize trial-and-error costs, and supercharge decision-making for heightened productivity. Learn more at www.byteLAKE.com/en/CFDSuite.
► byteLAKE's Cognitive Services: Unlock the full potential of Industry 4.0 with our comprehensive suite of AI solutions.
• Manufacturing: Employ image analytics for precise visual inspection of processes, parts, components, and products, ensuring impeccable quality control and minimizing errors. Learn more at www.byteLAKE.com/en/manufacturing.
• Automotive: Harness sound analytics to assess and analyze the quality of car engines, enabling proactive maintenance and preventing potential issues. Discover more at www.byteLAKE.com/en/automotive.
• Paper Industry: Implement advanced cameras to continuously monitor the papermaking process, accurately detecting and analyzing the wet line. Optimize production, reduce waste, and enhance efficiency. Explore further at www.byteLAKE.com/en/paper.
• Data Insights: Leverage our AI module for advanced predictive maintenance, detecting risky situations and triggering alarms. Seamlessly turn data from various sources (IoT sensors, documents, online weather forecasts, etc.) into actionable information for better decisions. Learn more at: www.byteLAKE.com/en/DataInsights.
• Restaurants / Retail: Simplify and expedite the checkout process with our solution for self-checkout stations. Our AI module can recognize meals and groceries effortlessly, sending the list directly to the cashier's machine for efficient self-checkout. Shorten queues and wait times, elevating customer satisfaction. Learn more at www.byteLAKE.com/en/AI4Restaurants.
Experience the future of AI-driven excellence. Discover more about byteLAKE's Cognitive Services at www.byteLAKE.com/en/CognitiveServices.
► Custom AI Software Development: Choose from our range of AI services, including AI Workshops with inspiring case studies and insights, Edge AI for real-time analytics on images, videos, sounds, and time-series data, Cognitive Automation for the automation of complex tasks with software robots, and HPC for algorithm optimization across various CPU, GPU, and FPGA architectures.
► Incubation: Explore our innovative product brainello, an AI-powered document processing software that works without templates, and Ewa Guard, AI for Drones enabling large area visual analytics.
Thought leadership Oct2015 selfserve
Ron Krzoska discusses building a self-serve analytics ecosystem at Motorola to drive data-driven decisions. The ecosystem gathers data from devices and applications, stores it in a big data repository, and provides business teams self-serve access through SQL and reporting tools. Over time, the ecosystem grew to nearly 1000 monthly users across the business, demonstrating that a thoughtful self-serve solution can effectively promote a data-driven culture in a large organization.
Don't take your data for granted.
The document discusses the importance of data quality in analytics and proposes having separate business analytics and technical analytics teams. It notes that analytics is growing quickly but also that the pressure and workload on analysts is increasing as tracking becomes more complex. It recommends that technical analytics focus on implementation, support, monitoring and maintaining the analytics platform to ensure high quality data and mitigate risks. This would allow business analytics to focus on strategy, analysis and using analytics to make business decisions.
Taking The Guesswork Out Of Website Optimisation
A practical approach to evaluating website performance, focusing on:
1. How to isolate usability issues and identify conversion rate improvements
2. Website testing methodologies (A/B & MVT) and how to start an in-house testing program
3. Some Conversion Rate Optimisation tips
Analytics update - Sean Burton
Sean Burton is passionate about using data, technology and psychology to improve customer experience and business value. He has 15 years of experience across various roles including web analytics, customer feedback, and data visualization. He works with both large companies and startups across various industries. Sean offers services including setting up Google Analytics, implementing surveys, creating dashboards, and bringing all customer data together to provide insights.
UiPath Insights
This document discusses UiPath Insights, an analytics solution for measuring the performance and impact of automation strategies. It provides an overview of UiPath Insights' key features such as powerful embedded analytics, customizable dashboards, machine learning-powered forecasting, and smart alerts. The document also includes an agenda, descriptions of current challenges in measuring RPA operations, and a demo of UiPath Insights' features for notifications, reports, and forecasting. It concludes with resources for getting started with UiPath Insights.
Web analyticsandbigdata techweek2011
The document discusses how Orbitz Worldwide uses Hadoop and big data to drive web analytics. It faces challenges with processing massive amounts of log data from millions of searches. Orbitz implemented a Hadoop infrastructure to provide long-term storage, access for developers and analysts, and rapid deployment of reporting applications. This allows Orbitz to aggregate data, run analysis jobs like traffic source mapping in minutes rather than hours, and generate over 25 million records per month. The implementation helps Orbitz shift analytics from innovation to mainstream use across business units.
AI Planning Workshop overview
This Workshop Teaches Business Leaders How To Implement AI Technologies To Serve Customers Better Than Anybody Else.
AGENDA
Introduction to Artificial Intelligence
Extracting Value & Delivering Value
Predictive & Preventive maintenance
Marine market, Jet engines
How to prepare & implement AI Playbook
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