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Business Intelligence and Analytics

  • Avito – Big Data Warehouse Best Practice with HPE Vertica Avito – Big Data Warehouse Best Practice with HPE Vertica Nikolay Golov, Data Warehouse Architect, Avito and Carlo Arioli, Big Data Marketing Manager, HPE Recorded: Feb 21 2017 45 mins
    Avito, based in Moscow, is Russia’s fastest growing e-commerce site and portal. It uses Big Data technology to monitor and improve the placement of advertisements, and to better understand how their users are adapting to online business.

    In this webinar, Nikolay Golov, Data Warehouse Architect at Avito, who has over 10 years’ experience for banks, retail and e-commerce, will share the lessons they have learned when implementing and expanding their HPE Vertica-based analytics infrastructure over the past 4 years.

    This will include identifying the risks and demonstrating how those risks can be efficiently and effectively overcome with the right technology stack: HPE Vertica, which processes data from dozens of heterogeneous data sources and monetizes it through Machine Learning.

    Join this webinar to learn more.
  • Accelerating Big Data Collection for Azure Cloud Accelerating Big Data Collection for Azure Cloud Ned Shawa, Hortonworks & Ben Sadeghi, Microsoft Recorded: Feb 21 2017 58 mins
    In the latest Forrester Wave report for Big Data Hadoop Cloud Solutions, Microsoft Azure came on top beating some very esteemed vendors. Learn how to complete your big data solution and join Microsoft and Hortonworks as we showcase Hortonworks DataFlow and how it complements Azure HDInsight enabling users to easily move their data to the cloud for production, disaster recovery or development uses.

    Powered by Apache NiFi, Kafka and Storm, HDF collects, curates, audits and delivers real-time data using a simple end-user interface unblocking customers from analysing their big data in Microsoft Azure.
    During this webinar we will show:

    How to ingest a variety of data sources from a selection of source systems using HDF
    How to feed the data to HDInsight cluster on Azure
    How to easily display and interrogate those datasources once they have been ingested
  • Predictive Analysis for Modern BI Architecture Predictive Analysis for Modern BI Architecture Jaime D’anna, Head of Global Product & Channel Marketing & Arshad Khan, Head of Customer Success, Modemetric Recorded: Feb 16 2017 45 mins
    Predictive Analysis has become a game-changing component for today’s forward-looking organizations seeking to gain a competitive advantage. This functionality has grown to be an essential feature-set for any modern BI architecture; as important as advanced visualization or data integration to complement the other features one would associate with Traditional BI.

    For organizations to get the full benefit of predictive analytics, the BI solution they deploy must provide both simplified “native” or “out-of-the-box” modeling capabilities, such as trending and forecasting, as well as the ability to construct, test and visualize analytic formulae. In this Webinar, specifically targeted towards BI professionals, you will learn how to:

    · Easily connect multiple data sources to get a unified reporting view
    · Utilize a self-service approach to BI for business users without sacrificing governance for IT
    · Benefit from a simplified interface for predictive analysis


    Arshad Khan is the Head of Customer Success at Modemetric US. He is a versatile BI and SAP professional, with over 30 years of experience, who has provided consulting services to the Fortune 100 companies as well as the Big 4 consulting companies. Since 1995, he has led or participated in numerous SAP and BI implementations ranging in size up to $100 million
  • Logistics Analytics: Predicting Supply-Chain Disruptions Logistics Analytics: Predicting Supply-Chain Disruptions Dmitri Adler, Chief Data Scientist, Data Society Recorded: Feb 16 2017 47 mins
    If a volcano erupts in Iceland, why is Hong Kong your first supply chain casualty? And how do you figure out the most efficient route for bike share replacements?

    In this presentation, Chief Data Scientist Dmitri Adler will walk you through some of the most successful use cases of supply-chain management, the best practices for evaluating your supply chain, and how you can implement these strategies in your business.
  • From Node to Node: How to Optimize Cassandra Database Performance From Node to Node: How to Optimize Cassandra Database Performance Mike Kelly, CTO, SelectStar Recorded: Feb 16 2017 30 mins
    Because of its high performance, availability and scalability, Apache Casssandra has quickly become a preferred NoSQL open-source database of choice. Even though it’s highly reliable, there are some issues that can arise and cause major issues to your environment – such as running out of node space or dealing with latency issues. Gaining visibility into key metrics with the option to drill-down to root-cause issues can offer the visibility that you need to keep Cassandra operating at peak performance.

    In this 30-minute webinar, SelectStar’s Mike Kelly will highlight:
    · How you can optimize the performance of your nodes
    · Key metrics to track within your Cassandra environment
    · Top methods to optimize your Cassandra database performance
  • The Role of the Project Manager in an Agile Business The Role of the Project Manager in an Agile Business Ann Konkler, CA Technologies Agile Consultant and PMI-ACP Recorded: Feb 16 2017 57 mins
    More and more organizations are adopting agile methods to help manage complex work and improve project delivery. If you’re a Project Manager, you may be wondering: Is an agile approach right for my organization? Do I have a role on an agile team, and if so, what is it? How do I make agile methods work in my context?

    Join Ann Konkler, Agile Consultant at CA Technologies, on Thursday, February 16, 2017, 10am PT / 1pm ET, to better understand the role of the Project Manager in an agile business. During this webinar, you’ll learn:

    • How Project Managers can have a meaningful role
    • Which agile framework is right for you
    • How to coordinate across teams when some are applying agile methods and others are not

    We want to help you better understand your role as a Project Manager in an agile business. Join us to learn more and bring your questions to this engaging webinar.
  • What Are Your Analytics Vital Signs? Charting a Course to Digital Transformation What Are Your Analytics Vital Signs? Charting a Course to Digital Transformation Jack Phillips, CEO of International Institute for Analytics and Dr. Graham Hughes, CEO of Sutherland Healthcare Solutions Recorded: Feb 16 2017 61 mins
    The digital era is disrupting every industry and healthcare is no exception. Emerging technologies will introduce challenges and opportunities to transform operations and raise the bar of consumer experience. Success in this new era requires a new way of thinking, new skills, and new technologies to help your organization embrace digital health. In this webinar, we’ll demonstrate how to measure your organization's analytics maturity and design a strategy to digital transformation.
     
    This webinar will discuss the requirements to transform your business operations and show you how an organization's analytics maturity can be measured and used to create a competitive advantage.
     
    Join us to gain insight on the digital trends transforming healthcare and learn how to:
    •Leverage transformational design thinking methodologies to discover new opportunities, optimize existing operations, and improve experiences.
    •Measure and compare their organization's analytics maturity.
    •Develop a strategy for leveraging analytics and design thinking as a competitive differentiator
  • Unlock real-time predictive insights from the Internet of Things Unlock real-time predictive insights from the Internet of Things Sam Chandrashekar, Program Manager, Microsoft Recorded: Feb 16 2017 60 mins
    Continuous streams of data are generated in every industry from sensors, IoT devices, business transactions, social media, network devices, clickstream logs etc. Within these streams of data lie insights that are waiting to be unlocked.

    This session with several live demonstrations will detail the build out of an end-to-end solution for the Internet of Things to transform data into insight, prediction, and action using cloud services. These cloud services enable you to quickly and easily build solutions to unlock insights, predict future trends, and take actions in near real-time.

    Samartha (Sam) Chandrashekar is a Program Manager at Microsoft. He works on cloud services to enable machine learning and advanced analytics on streaming data.
  • The Download: Tech Talks by the HPCC Systems Community, Episode 2 The Download: Tech Talks by the HPCC Systems Community, Episode 2 HPCC Systems Community Recorded: Feb 16 2017 91 mins
    This series of workshops are specifically designed for the community by the community with the goal to share knowledge, spark innovation and further build and link the relationships within our HPCC Systems community.

    Episode 2 will include 15 minute Tech Talks featuring:

    Fujio Turner, Architect, Couchbase
    Jacob Pellock, Sr Director Software Engineering, LexisNexis Risk Solutions
    Roger Dev, Sr Architect, LexisNexis Risk Solutions
    Richard Taylor, Chief Trainer, HPCC Systems.
  • Machine Learning towards Precision Medicine Machine Learning towards Precision Medicine Paul Hellwig Director, Research & Development, at Elsevier Health Analytics Recorded: Feb 16 2017 47 mins
    Medicine is complex. Correlations between diseases, medications, symptoms, lab data and genomics are of a complexity that cannot be fully comprehended by humans anymore. Machine learning methods are required that help mining these correlations. But a pure technological or algorithm-driven approach will not suffice. We need to get physicians and other domain experts on board, we need to gain their trust in the predictive models we develop.

    Elsevier Health Analytics has developed a first version of the Medical Knowledge Graph, which identifies correlations (ideally: causations) between diseases, and between diseases and treatments. On a dataset comprising 6 million patient lives we have calculated 2000+ models predicting the development of diseases. Every model adjusts for ~3000 covariates. Models are based on linear algorithms. This allows a graphical visualization of correlations that medical personnel can work with.
  • Delivering a Flexible IT Infrastructure for Analytics on IBM Power Systems Delivering a Flexible IT Infrastructure for Analytics on IBM Power Systems Christophe Menichetti, IBM; Dave Russell, Hortonworks Recorded: Feb 16 2017 51 mins
    Customers are preparing themselves to analyze and manage an increasing quantity of structured and unstructured data. Business leaders introduce new analytical workloads faster than what IT departments can handle. Legacy IT infrastructure needs to evolve to deliver operational improvements and cost containment, while increasing flexibility to meet future requirements. By providing HDP on IBM Power Systems, Hortonworks and IBM are giving customers have more choice in selecting the appropriate architectural platform that is right for them. In this webinar, we’ll discuss some of the challenges with deploying big data platforms, and how choosing solutions built with HDP on IBM Power Systems can offer tangible benefits and flexibility to accommodate changing needs.
  • Enterprise BI: The Advent of Self-Service Analytics Enterprise BI: The Advent of Self-Service Analytics Omri Kohl, Co-founder and CEO, Pyramid Analytics Recorded: Feb 15 2017 31 mins
    Over the last decade the business landscape has changed as more companies and users – spanning business and IT – have grown dependent on analytics to drive better decision-making. With so much riding on it, are you treating your Business Intelligence solution like a Tier 1 application? If not, it’s time for you to rethink your strategy and approach to business analytics.

    During this session Omri Kohl, Co-founder and CEO, Pyramid Analytics will cover:

    • Why BI became a Tier 1 application
    • What enterprises should look for in a Tier 1 BI solution
    • How a Tier 1 BI solution can be implemented with a low TCO without compromise
  • Evolving the Industrial IoT Into Strategic Advantage Evolving the Industrial IoT Into Strategic Advantage Bill Roberts, Director, Global IoT Practice, SAS; Ted Connell, Director, Solution Architect Group, Intel Recorded: Feb 15 2017 56 mins
    Heavy industry was first to arrive at the IoT party, quickly recognizing the potential to augment existing processes and establish new protocols. As a result, organizations that embraced the industrial internet of things (IIoT) have been at the forefront of fine-tuning applications and establishing best practices. And while many of those practices have turned out to be impactful, it’s becoming increasingly apparent that the opportunity is much bigger with predictive analytics.

    We’ve entered a perfect storm where the falling costs of capturing, processing and analyzing data coincide with the explosion of data streams generated by millions of pieces of connected equipment, devices and systems. And the same technology that created the perfect storm has empowered customers with near-instant data and instantaneous engagement with each other and also with your organization. So the opportunities extend beyond tactical process improvements and have become both strategic and enterprise-wide.

    Recognizing and capitalizing on the opportunities requires an evolution of skills and mindset, made possible with key technology relationships. The Industrial IoT collaboration between SAS and Intel enables organizations to capture, process and analyze data. The end result is the ability to evolve their strategic advantage and realize the full value of their IIoT data.

    Tune in to this webinar to gain insights and best practices for evolving the industrial IoT into strategic advantage for your organization.
  • Bridging the Data Silos Bridging the Data Silos Merav Yuravlivker, Chief Executive Officer, Data Society Recorded: Feb 15 2017 48 mins
    If a database is filled automatically, but it's not analyzed, can it make an impact? And how do you combine disparate data sources to give you a real-time look at your environment?

    Chief Executive Officer Merav Yuravlivker discusses how companies are missing out on some of their biggest profits (and how some companies are making billions) by aggregating disparate data sources. You'll learn about data sources available to you, how you can start automating this data collection, and the many insights that are at your fingertips.
  • Getting Beyond the Hype: Why Hadoop is not a Panacea for All Things Big Data Getting Beyond the Hype: Why Hadoop is not a Panacea for All Things Big Data Bill Theisinger, YP and Ben Smith, HPE Mar 2 2017 6:00 pm UTC 60 mins
    You can’t talk about big data today without hearing about Hadoop. For many people, Hadoop is synonymous with big data, but it’s not necessarily the best tool for every use case and every project. Before committing to it, businesses need to ignore the hype, look at their needs, and determine if and where Hadoop fits into their big data initiatives.

    Join Bill Theisinger, vice president of engineering for platform data services at YP(sm), formerly known as YellowPages.com, to hear how his company is maximizing the value they get from Hadoop by supplementing it with HPE Vertica, an analytical database.

    In this webcast, you’ll learn:
    • The benefits and drawbacks of using Hadoop
    • Where Hadoop can fit into big data initiatives
    • How to supplement Hadoop with an analytical database
  • Data Visualization IS NOT Self Service BI - The Case for IoT in BI Data Visualization IS NOT Self Service BI - The Case for IoT in BI Lee Hermon, Sisense Engagement Manager and Adi Azaria, Sisense Chief Evangelist Recorded: Feb 15 2017 27 mins
    Businesses today already know that visualization in business intelligence is an essential part of competitive success. Yet, too many organizations are falling behind because of the inability to keep up with demand for information. One mistake is thinking that self-serve data visualization is all they need when setting up a self-service BI environment.

    Debunking the common myth, we will explore why data visualization IS NOT self-service BI. The only way for Information workers to become more self-sufficient is by having a BI environment that is more usable but also more consumable. It is these two themes—usability and consumability - that play crucial roles in a fully functioning self-service BI environment. Using modern IoT technologies, the modern business can expand access and consumability of data by engaging the human senses of sight, sound, and touch.

    Join Lee Hermon, Sisense Engagement Manager, as he explores the limitations of current Self Service Visualization models and Adi Azaria, Sisense co-founder & Chief Evangelist as he introduces how IoT in Business Intelligence is changing the game.
  • Hype vs. reality: the truth of self-service BI Hype vs. reality: the truth of self-service BI Glen Rabie, CEO, Yellowfin Recorded: Feb 15 2017 41 mins
    The desire to balance the needs of business users with the governance requirements of IT will kill the current concept of self-service BI.

    Discover how to drive success with analytics and better separate the self-service hype from reality with Yellowfin's CEO, Glen Rabie.

    Glen will discuss:
    - The impact of the self-service pipe dream
    - Why changing BI tools won't help
    - What self-service BI should actually look like
  • The Next-Gen Analytics Stack for Insights-Driven Organizations The Next-Gen Analytics Stack for Insights-Driven Organizations Dr. Rado Kotorov, Chief Innovation Officer, Information Builder, Rick van der Lans, Managing Director of R20/Consultancy Recorded: Feb 15 2017 58 mins
    Innovation Sessions 2017 #4

    With so many products available in a rapidly growing market, it’s easy to get confused about what parts of your analytics stack are needed, and why they are needed.

    Independent thought leader and analyst Rick van der Lans knows the details, and can help you figure out the classes of product you need to support different user types: from tech-savvy business users, analysts, and data scientists to executives, non-technical users, and customers.

    Sign up today!
  • Analyse, Visualize, Share Social Network Interactions w Apache Spark & Zeppelin Analyse, Visualize, Share Social Network Interactions w Apache Spark & Zeppelin Eric Charles, Founder at Datalayer Mar 13 2017 3:00 pm UTC 45 mins
    Apache Spark for Big Data Analysis combined with Apache Zeppelin for Visualization is a powerful tandem that eases the day to day job of Data Scientists.

    In this webinar, you will learn how to:

    + Collect streaming data from the Twitter API and store it in a efficient way
    + Analyse and Display the user interactions with graph-based algorithms wi.
    + Share and collaborate on the same note with peers and business stakeholders to get their buy-in.
  • Comparison of ETL v  Streaming Ingestion,Data Wrangling in Machine/Deep Learning Comparison of ETL v Streaming Ingestion,Data Wrangling in Machine/Deep Learning Kai Waehner, Technology Evangelist, TIBCO Recorded: Feb 15 2017 45 mins
    A key task to create appropriate analytic models in machine learning or deep learning is the integration and preparation of data sets from various sources like files, databases, big data storages, sensors or social networks. This step can take up to 50% of the whole project.

    This session compares different alternative techniques to prepare data, including extract-transform-load (ETL) batch processing, streaming analytics ingestion, and data wrangling within visual analytics. Various options and their trade-offs are shown in live demos using different advanced analytics technologies and open source frameworks such as R, Python, Apache Spark, Talend or KNIME. The session also discusses how this is related to visual analytics, and best practices for how the data scientist and business user should work together to build good analytic models.

    Key takeaways for the audience:
    - Learn various option for preparing data sets to build analytic models
    - Understand the pros and cons and the targeted persona for each option
    - See different technologies and open source frameworks for data preparation
    - Understand the relation to visual analytics and streaming analytics, and how these concepts are actually leveraged to build the analytic model after data preparation
  • How to apply real-time Cloud analytics in just an hour How to apply real-time Cloud analytics in just an hour Iver van de Zand, SAP Analytics Leader Recorded: Feb 17 2017 60 mins
    Cloud analytics has great momentum and that is for a reason: it allows for real-time and live analytics without needing to prepare an environment. In this webinar you will learn how to apply SAP Cloud analytics using BusinessObjects Cloud and the Digital Boardroom. Be amazed by the easiness’ of use and the great visualization capabilities.

    Iver van de Zand – SAP Analytics Leader – will provide a deep dive session on the modeling and visualization capabilities of this stunning product