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DAMA Webinar: Turn Grand Designs into a Reality with Data Virtualization

Watch full webinar here: https://buff.ly/2HMdbUp What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics. Attend this session to learn: • What data virtualization really is, • How it differs from other enterprise data integration technologies • Real-world examples of data virtualization in action from companies such as Logitech, Autodesk and Festo.

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Google Analytics Products Overview 2020

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What are the differences between Google Analytics Products? - Universal Analytics has been the standard web analytics product since 2014. - Google is heavily investing in Firebase Analytics for growing mobile app businesses and has been a standard app analytics product since 2018. - App + Web was launched as a public beta in Aug. 2019. This is for business owners who provide app as well as web services.

This on-demand webinar presents real-world customer examples that illustrate the 4 key steps to close the gap between raw data, meaningful insights and real-time action, including: Collect and reconcile customer data about identities, profiles, purchase history, preferences, and transactions Transform and augment this data into a 360° view of the customer with context, intentions, relationships, and interactions Turn data into insights, with segments, scores, forecasts and recommendations Connect in real time to the customer touch-points and turn those insights into increased conversion rates and customer loyalty

Haroldo Gali: Google

Strider

Well Architected Framework - Data

Yellowfin 7.3 launch presentation slides

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Miss the Webinar launch of Yellowfin 7.3 – the latest version of our Business Intelligence (BI) and analytics platform? Don’t sweat it. We thoughtfully recorded the session for your on-demand viewing pleasure. Discover how to set your data free with Yellowfin 7.3: http://www.yellowfinbi.com/YFCommunityNews-Yellowfin-7-3-Launch-Webinar-Recording-and-Slides-245644 Yellowfin 7.3 will be generally available Friday 25 November. If you’d like to get your hands on a copy, or want a personalized demonstration of Yellowfin 7.3, simply contact sales@yellowfin.bi Why watch? Watch the launch of Yellowfin 7.3 and discover how to conduct deeper, faster data analysis and create more compelling BI content in less time. Be among the first to see how we’re adding Data Preparation, Set Analysis and new charting features to substantiate Yellowfin’s position as the broadest end-to-end modern BI and analytics platform on the market. Yellowfin 7.3 contains major additions and improvements, including: ¥ Data preparation: Quickly and independently prepare trustworthy data for reporting and analysis, without waiting for IT. Be empowered to integrate, access and act on more data sources in less time with Yellowfin’s new Data Preparation Module. ¥ Set Analysis: Enjoy the flexibility to answer complex business questions faster, and with greater ease. Build sophisticated charts, to create comparative analysis, in a few simple steps. ¥ New Content Creation Canvas: Create a culture of data-based decision-making and engage users throughout your organization with BI content built specifically for their particular needs. Experience the freedom and flexibility to quickly create customized analytic content and infographics to suit any user type or situation – no coding required. ¥ Connectors: See how Yellowfin’s latest range of connectors and pre-built dashboards for third-party Web applications are connecting people and their data.

5 important trends in big data cloud & big data services

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Advance Google Analytics Integration with Inventory Data

Principle America

Enhanced Ecommerce (EEC) Tracking is one of the “must-have” features of Google Analytics, especially for e-commerce sites. A marketer can get “Cart-to-Detail Rate” and “Buy-to-Detail Rate” for each product using EEC. These metrics represent how much each product is attractive to customers and how likely the product got into the customer’s cart. Products with high Cart-to-Detail Rate or Buy-to-Detail Rate can be appealing not only in e-commerce site but also in “brick and mortar” stores Placing these high converting products at Point of Purchase (e.g. for in-store that could be “Candy Rack”) could contribute to incremental sales. Using this dashboard, marketers could identify what products should be replenished quickly, and/or find incremental sales opportunity.

Data Virtualization at Logitech = #Winning

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Delivering data you can trust with Talend 2019

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How Cloud BI Powers Today's Agile Enterprise

GoodData

According to Forrester (http://www.forrester.com/Benchmark+Your+BI+Environment/fulltext/-/E-RES103661), ⅓ of organizations reap a triple-digit ROI on their BI investments. The problem for the other ⅔ is that the complexities of the BI landscape are prohibiting them from delivering the insights that their business users need, in a relevant and timely manner. Our guest Boris Evelson, a leading expert in BI at Forrester Research, joins GoodData to discuss how Cloud BI can improve the agility of your organization. In this 1-hour session they discuss: - Current state of the BI landscape - Complexities forcing change in the industry - How Cloud BI alleviates many of those challenges - Specific ROI stories and use cases

Harnessing the Power of Advanced Insurance Analytics Through Property Data

In commercial and residential underwriting, accurate and robust property data is essential to effectively doing business and performing analytics. Increasing availability of location-based data and the growing capabilities of AI/ML provide an optimal opportunity for companies to capitalize on location-based data science for a competitive edge. A Willis Towers Watson survey showed that 60% of companies are targeting AI/ML capabilities in 2021 to address IT and organizational bottlenecks, such as data infrastructure, to better analyze data when evaluating risk models and reducing manual input. However, across the board, companies are challenged with finding an effective strategy for organizing, consistently enriching, and analyzing data across the enterprise. Precisely gives your business the confidence to make better, faster decisions through trusted data with maximum accuracy, consistency, and context. Learn how clients are leveraging advanced analytics and property enrichment solutions to: - Improve loss ratio through more diversified risk and profitable underwriting - Improve the reliability of property evaluation using location data enrichment for every US property - Enrich properties with thousands of attributes for better, more accurate analytical models, such as AI and ML technologies - Enable real-time answers to complex analytics leveraging big data analytics platforms such as Databricks or cloud container systems such as Kubernetes

How media agencies solve the big data revolution

The_IPA

Fueling AI & Machine Learning: Legacy Data as a Competitive Advantage

The data fueling your AI or machine learning initiatives plays a critical role. Different data sources provide different outcomes. The most important thing a business can do to prepare for success with AI and machine learning is to understand and provide access to all of the data that you can possibly get to. In addition to newer data sources, like IoT and Social Media, what will set your results apart – and give your business a competitive advantage – is powering AI and machine learning with your historical and proprietary data: the data sitting in your mainframe, legacy, and other traditional systems. View this on-demand webcast with Wikibon Analyst James Kobielus as we discuss: • Using your historical customer data to train predictive AI/ML models for effective target marketing • Leveraging social, mobile, and IoT data to give your marketing an extra level of personalization • Making the most of your legacy and proprietary data while protecting customer privacy and ensuring regulatory compliance

How to ready your organization for Artificial Intelligence

[Webinar Deck] Google Data Studio for Mastering the Art of Data Visualizations

In this webinar, we will take you through the basics of Google Data Studio and enable you to unlock the true value of data when converted into insights. With Google Data Studio, you can turn your data into informative dashboards and monthly reports that are easy to read, easy to share and fully customizable. Successful data visualization designs are built by smart teams with varied skill sets using advanced visualization tools. This is not an easy combination to find, but we’ll help you get started.

Microsoft Next 2014 - Insights session 2 - Turning data into a business advan...

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Big Data LDN 2018: CONNECTING SILOS IN REAL-TIME WITH DATA VIRTUALIZATION

Matt Stubbs

Date: 14th November 2018 Location: Keynote Theatre Time: 13:50 - 14:20 Speaker: Becky Smith Organisation: Denodo About: How many users inside and outside of your organization access your organization’s data? Dozens? Hundreds is probably more like it, each with their own structure and content requirements as well as different access rights. As a result, many organizations have witnessed the formation of “data delivery mills,” in various shapes and sizes. How does one create order and reliability in this world of chaotic data streams? Quite easily, if it’s done with data virtualization. According to Gartner, "through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration.” Data virtualization enables organizations to gain data insights from multiple, distributed data sources without the time-consuming processes of data extraction and loading. This allows for faster insights and fact-based decisions, which help business realize value sooner. Join us to find out more about: • What data virtualization actually means and how it differs from traditional data integration approaches. • How you can connect and combine all your data in real-time, without compromising on scalability, security or governance. • The benefits of data virtualization and its most important use cases.

A Dynamic Data Catalog for Autonomy and Self-Service

Watch Daves' presentation on-demand from Fast Data Strategy Virtual Summit here: https://buff.ly/2Kj7muc Denodo’s new dynamic catalog is the new black. It combines the power of data delivery infrastructure with data catalog for contextual information and collective intelligence. Attend this session to discover: • What is unique about Dynamic Data Catalog? • How it empowers a community of analysts and decisions makers? • How it facilitates data curation and data stewardship in your organization?

Turning Big Data into Better Business Outcomes

Cisco Canada

The big data era is upon us as organizations are awash in social, mobile and machine-generated data. Opportunity abounds. But competition threatens. Further this high volume, data-at-the-edge environment challenges centralized data warehouse approaches typical with BI and Analytics today. Data virtualization provides a more agile, leave-the-data-where-it-lies way to fulfill BI and Analytic needs and achieve key business outcomes.

SPT 104 Unlock your big data with analytics and BI on Office 365

Brian Culver

SharePoint Fest Denver 2016 SPT 104 - Unlock your Big Data with Analytics and BI on Office 365 Brian Culver, MCM - Invited Speaker Companies have huge amounts of data waiting to be explored. With Azure HDInsights you can realize the value of your data. With Microsoft Excel 2013 and Office 365, you have a complete platform for BI solutions and services. Power BI allows companies to manipulate and study a variety of data points, gain actionable insights and share their insights. PowerPivot, Power View, Power Query, Power Map and Power BI Sites let users analyze and make decisions using structured and unstructured data. Attendee Takeaways: 1. Learn to setup and configure HDInsights on Microsoft Azure. 2. Understand how to use Excel for BI capabilities. 3. Build a BI Dashboard in Office365.

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4 Steps to Make Customer Data Actionable

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Haroldo Gali: Google

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Well Architected Framework - Data

Yellowfin 7.3 launch presentation slides

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5 important trends in big data cloud & big data services

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[Webinar] Interacting with BigQuery and Working with Advanced Queries

Advance Google Analytics Integration with Inventory Data

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Data Virtualization at Logitech = #Winning

3 Personalization Use Cases of Google Optimize 360

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Microsoft Next 2014 - Insights session 2 - Turning data into a business advan...

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Big Data LDN 2018: CONNECTING SILOS IN REAL-TIME WITH DATA VIRTUALIZATION

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A Dynamic Data Catalog for Autonomy and Self-Service

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SharePoint Saturday Utah has begun with a great crowd. I presented my session "Unlock your Big Data with Analytics and BI on Office 365" which is a Level 200 class. In my session I discuss how companies have huge amounts of data waiting to be explored. With Azure HDInsights (Microsoft's Hadoop cluster solution in partnership with Nortonworks) you can realize the value of your data. With Microsoft Excel 2013 and Office 365, you have a complete platform for BI solutions and services. PowerPivot, Power View, Power Query, Power Map and Power BI Sites empowers users analyze and make decisions using structured and unstructured data. Attendee Takeaways: 1. Learn to setup and configure HDInsights on Microsoft Azure. 2. Understand how to use Excel for BI capabilities. 3. Build a BI Dashboard in Office365.

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In this webinar, you’ll hear VoltDB CEO, Bruce Reading, outline 4 steps to expand your window of opportunity while avoiding risky options that can destroy your business. Technology innovator and CEO of Emagine International, David Peters, will also share key lessons learned from establishing his company’s ability to use fast data to crush competitors and execute on Emagine’s ability to open new markets. To view the webinar in its entirety, click here: http://learn.voltdb.com/WRExecSeries1.html

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The Briefing Room with Mark Madsen and WebAction Live Webcast Feb. 10, 2015 Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=fa83c6283de99dfb6f38b9d7199cb452 In our increasingly interconnected world, the windows of opportunity for meaningful action are shrinking. Where hours once sufficed, minutes are now the norm. For some transactions, seconds make all the difference, even sub-seconds. Meeting these demands requires a new approach to information architecture, one that embraces the many innovations that are fundamentally changing the data-driven economy. Register for this episode of The Briefing Room to hear veteran Analyst Mark Madsen of Third Nature as he explains how a confluence of advances are changing the nature of data management. He'll be briefed by Sami Akbay of WebAction, who will showcase his company's real-time data platform, designed from the ground up to meet the challenges of leveraging Big Data in concert with all manner of operational enterprise systems. Visit InsideAnalysis.com for more information.

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Big Data LDN 2018: FIGHTING DATA CHAOS: CONNECTING USERS TO DATA AT SCALE

Matt Stubbs

Date: 13th November 2018 Location: Self-Service Analytics Theatre Time: 12:30 - 13:00 Speaker: Joel McKelvey Organisation: Looker About: Companies that use data well are more efficient, effective, and profitable. Unfortunately, most organizations struggle to keep up with the changing supply of data — and the growing business demands for that data. The key is to connect data supply to data users in a way that scales, supports existing workflows, and serves as a foundation for the future. This session will explore how to bring data to users where and when they need it without sacrificing data governance or unified metrics. This session will also present proven ways to build a data foundation for your organisation that can support future changes in both data supply and data demand. Specifically, attendees will discover: • The key considerations to driving the most value from data, including: self-service, governance, custom interfaces, modeling, and connections to existing business systems. • How to provide users access to data in a way that naturally fits in their existing workflows and allows users to take immediate action. • How companies like Deliveroo and King extract critical business insights from growing data and deliver those insights to their business users.

Using Web Data to Drive Revenue and Reduce Costs

Connotate

This presentation is designed to help companies strengthen their competitive advantage by leveraging publicly available Web sources. Entrepreneurs, global industry leaders and enterprises of all sizes are turning Web data into lucrative opportunities – creating new revenue-generating products, reducing costs and re-engineering workflows to optimize pricing, streamline reporting, ensure compliance, engage interactively with clients and more. This presentation uses a variety of success stories to illustrate ways in which businesses can use Web data to drive revenue and streamline operations.

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DATAVERSITY

J.B. Hunt, one of the leading providers of transportation and logistics services in North America, recognizes the criticality of customer responsiveness, service quality, and operational efficiency for its success. However, with its data spread across multiple sources, including legacy mainframe systems, the organization was struggling to meet data requirements from multiple departments. They struggled to troubleshoot operational issues and respond to customers quickly. Join this webinar to hear about the optimized solution J. B. Hunt implemented, which automates real-time data pipelines for a reliable cloud data lake and provides multiple user groups an in-the-moment view of data without overwhelming internal operational systems. Discover how J.B. Hunt now leverages a modernized data environment to accelerate data delivery and drive various AI and analytics initiatives such as real-time service-pricing, competitive counterbidding, and improving their customer experience. Learn how you can: • Ingest data in real-time from legacy mainframe systems, enterprise applications, and more • Create a reliable cloud data lake to accelerate AI and Analytic Initiatives • Catalog, prepare, and provision data to empower data consumers • Drive operational efficiency and customer experience with AI-augmented insights

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Daniel Zivkovic

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Building Data Products with BigQuery for PPC and SEO (SMX 2022)

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In this data management session, Christopher describes how to build robust and reliable data products in BigQuery and dbt, for PPC and SEO use cases. After an introduction to the modern data stack, six principles of reliable data products are presented, followed by the following use cases: - Google Ads Conversion upload - SEO sitemap efficiency report - Google Shopping product rating sync - Large-Scale link checker with advertools - Inventory-based PPC campaigns with dbt Here is the referenced selection of gists on github: https://gist.github.com/ChrisGutknecht

Data Quality Success Stories

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Enabling a Bimodal IT Framework for Advanced Analytics with Data Virtualization