Business Intelligence and Analytics

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Practicing business intelligence allows your company to transform raw data into sets of insights for targeted business growth. The business intelligence and analytics community on BrightTALK is made up of thousands of data scientists, database administrators, business analysts and other data professionals. Find relevant webinars and videos on business analytics, business intelligence, data analysis and more presented by recognized thought leaders. Join the conversation by participating in live webinars and round table discussions.
  • In questa sessione di un'ora, coordinata da un Solution Architect, risponderemo alle vostre domande di natura tecnica riguardanti l'utilizzo dei prodotti AWS. In particolare, i primi 30 minuti saranno dedicati al topic "Analisi di Big Data (EMR, Redshift, Kinesis)" e i successivi 30 a domande di qualsiasi tipo.
  • Featuring Ben Person, Manager, ServiceNow Delivery, Dell Services, this video provides an overview of how the combined capabilities of Dell IT service management and ServiceNow helps you easily align IT with your business objectives. Learn how Dell Services can help ensure seamless service, proactive and responsive interaction and quality delivery.
  • Featuring Paola Arbour, Vice President, Services IT, Dell Services, this video provides an insight into the Service Integration and Management (SIAM) function. It helps understand how you can benefit from the flexibility and innovation of multisourcing and standard services, while delivering integrated services to the business.
  • Data preparation is occasionally referred to as data plumbing, suggesting that it is dirty grunge work that is an unglamorous necessity. We will see how this point of view misses entirely the discovery potential, value, and “thrill of the chase” that data preparation can offer. Data prep includes the all important first step in any analytics project: “Know Thy Data” (which is one of the fundamental principles of data science). We discuss data profiling, data transformations and normalization, feature selection and engineering, and more data prep approaches that empower you to begin learning from your data right out of the “starting gate” on your analytics project. Learning from Data (i.e., data science) doesn’t begin after data prep, but right from the start.
  • Ever wondered what deep learning is, or how its techniques are being applied to natural language processing?

    Curious about what dog training and natural language processing have in common?

    If the answer is yes to either of these questions, you’ll want to watch this on-demand webinar and learn more about the work SAS and North Carolina State University are doing in this important arena.

    Meet the Speakers

    Dr. James C. Lester is a Distinguished Professor of Computer Science and Director of the Center for Educational Informatics at NC State University. His research in artificial intelligence ranges from intelligent tutoring systems and affective computing to computational models of narrative and natural language processing. He is a member of the Academy of Outstanding Teachers at NC State University and a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI).

    Dr. James A. Cox is the Director of Text Analytics at SAS. He has been the development manager for SAS® Text Miner ever since its inception 12 years ago. Before that, he was one of the initial developers for SAS® Enterprise Miner™. Cox holds a PhD in cognitive psychology and computer science from UNC-Chapel Hill and has published a number of scholarly papers in the areas of psycholinguistics, categorization and variable selection.
  • Join the Informatica Cloud product team on Oct 8th, 2015 to find out what's new in the Fall Release of the Informatica Cloud and explore all the key capabilities.

    During the webinar, you will also have the opportunity to see the new Informatica Cloud platform in action and ask any questions that you may have.

    The Fall 2015 release of the Informatica Cloud is packed with many rich functionalities, including:
    •Automated discovery and parsing of log files to enable cloud analytics on your machine generated data
    •Enhanced Cloud Mapping Designer with new interactive configuration tool and fixed-width file support
    •Highly scalable Cloud Runtime Environment for cloud to cloud integrations
    •Informatica Cloud Platform Rest API improvements with fine-grained permission for objects and create or update a connection capability using parameters
    •New enhancements to the Informatica Cloud Real Time in the areas of Service Connector, Process Designer & Guides
    •Robust Subset Engine for Data Masking transformations with the ability to support complex data models and automatic data chunking for Salesforce to allow horizontal partitioning on large data sets
    •Improved connector capabilities for Amazon S3, NetSuite, Salesforce and SAP. New integrations for Microsoft Azure, Box, Concur and others.
  • Since 1999, Oracle has included a Java Virtual Machine (JVM) within the database. That makes it old enough to drive and well past time to get a real job. In today’s data-obsessed world, that job is fortifying Oracle’s database with a healthy dose of analytics to give your database the power to handle the data challenges of the 21st century.

    There are numerous advantages to adopting a 100% Java code base for in-database analytics. Security is doubly enhanced by performing all analytics in the database. The code is highly portable as the identical java classes that run in the database will run on any client with any operating system. Plus the modern paradigm of taking the algorithms to the data is elegantly achieved with minimal effort.

    Until now, a single Java solution with all these qualities wasn’t available. By using JMSL Numerical Libraries, you get a suite of algorithms with routines for predictive analytics, data mining, regression, forecasting, and data cleaning. JMSL is scalable and can be used in Hadoop MapReduce applications. Now, JMSL Numerical Libraries makes Java in the database more than useful -- it makes it unbeatable.

    This webinar walks through the argument of why embedded analytics is better and provides examples using an Oracle database and JMSL. And if you’re not convinced, tell us so in the live, interactive Q&A!
  • In this webinar with CenturyLink, discover 5 steps to take today to move toward a secure, fast and flexible hybrid cloud environment. Best practices and use cases are discussed, along with tips and critical questions you should ask your provider before getting started. We will also offer insight around things to avoid and share common, real-world issues that IT managers face when starting their hybrid cloud journey.

    This webinar is the third in NetApp’s Hybrid Cloud Exchange Webinar series. Follow this series to discover industry-leading insights, partnerships, and resources to help you embrace the hybrid cloud on your terms.
  • In this webinar, you’ll learn how the Personalized Medicine Initiative (PMI), part of the Life Sciences Institute of the University of BC, has deployed PHEMI Central Big Data Warehouse to collect, store and manage genomic and clinical data for Molecular You (MyCo). Molecular You is a ground breaking program that will provide 20,000 participants a molecular level understanding of themselves over the next 20 years, and provide scientists with new information necessary to detect disease risk and initiate early intervention.

    The speakers for the event are leaders in their respective areas:

    --Rob Fraser, COO of PMI, will share Molecular You’s goals, as well as the leading-edge technology needed to support a variety of personalized medicine initiatives.
    --Roy Wilds, Director of Product Management for PHEMI, will provide additional examples of how Hortonworks and PHEMI Central can help enterprises in healthcare and other industries provide easy access to secure, unified data to their researchers and analysts.
    --Richard Proctor, General Manager, Global Healthcare, Hortonworks, will also talk about how PMI and other life science leaders can leverage Hortonworks Data Platform and PHEMI Central to realize the tremendous potential of precision medicine.

    Join us to learn more about how these technologies create the Path to Wellness through Big Data.
  • Traditional business intelligence professionals often find it challenging to identify how this new “analytics” craze is any different from what they’ve been doing all along. Other data professionals don’t think much about the difference between BI and data science, because they’re too busy getting amazing results from data science applications like Watson Analytics and Tableau.

    It’s easy to become satisfied with “business as usual”, but what happens when the game changes and more powerful methods become available to derive more value from the same old data? If you want to cut out all the process bulk and really laser target the data and data operations you need… if you want extremely fast results… and if you want to generate data insights that’ll keep you the A-player at your workplace, then you’ll be happy to know that there’s a free (and relatively) easy way to achieve these results by using R programming language.

    In this webinar, you’ll get an introduction to R and the core benefits it offers you. You’ll see the lifecycle of an analytics project, noting how analytics is definitely distinct from traditional business intelligence. And lastly, you’ll get a live demo and tutorial on how you can begin using R to prepare your data for analytics.
  • Trouble slicing data just the way you want? Survey data got you down? Trouble slicing data just the way you want? Why is it that sometimes data is easy to analyze and other times it seems nearly impossible? This session will explore the wide variety of data out there in the world. We'll look at:

    ·Excel files with odd "shapes"
    ·Working with multiple flat files that contain separate 'chunks' of the same (or similar) data
    ·Free tools that can help you collect, scrape, reformat, and edit data from the web and other sources, all with the idea that all data should have the same chance to express itself!
  • With ever increasing adoption by vendors and enterprises, Spark is fast becoming the de facto big data platform.

    As a general purpose data processing engine, Spark can be used in both R and Python programmes.

    In this webinar, we'll see how to use Spark to process data from various sources in R and Python and how new tools like Spark SQL and data frames make it easy to perform structured data processing.
  • Omnichannel is at the heart of today's Retail Transformation. However, most retail CIOs still struggle to redesign their technology frameworks to serve today's multichannel connected customer and support a growing number of new ways to shop. Lack of an omnichannel strategy, rigid legacy systems not allowing to leverage the benefits of cloud and mobile technologies, non-single view of customers across channels or lack of inventory visibility across enterprise to support distributed order management capacity are only some of the key challenges retail CIOs are facing.

    This webinar will be conducted by Ismael Ciordia, Chief Technology Officer at Openbravo, Salil Godika, Chief Strategy & Marketing Officer and Industry Group Head at Happiest Minds and introduced by Xavier Places, Product Marketing Director at Openbravo.

    What Will You Learn?
    - Key considerations when designing and rolling out new architecture that delivers omnichannel services.
    - Which technologies to evaluate, including PIM, OMS, Cloud, m-POS or Big Data.
    - How some leading customers in the Specialty Retail subsector are progressing on their omnichannel path with the help of Openbravo.
    - A summary of the main conclusions of the Happiest Minds' report "The State of Omnichannel Retail in the US 2015" .

    Who Should Attend?
    - CIOs
    - Business Areas Directors
    - IT Administrators
    - Consultants

    Register for this webinar and receive a FREE eBook "The State of Omnichannel Retail in the US 2015"!
  • YARN has fundamentally transformed the Hadoop landscape. It has transformed Hadoop from a single workload system to one that can now support a multitude of “fit for purpose” processing. Join this webinar where will be discussing the importance of YARN, it's role in the Hadoop landscape and take part in votes that will shape the direction of the discussion.
  • Join this webinar as we discuss how the St. Louis metro system has reduced cost per mile by 30% by partnering with Hortonworks and LHP Telematics. They are now able to gather data from over 200 buses and analyze it to prevent part failures.
  • Are you a data scientist working on a project with constantly changing requirements, flawed changing data and other disruptions? Guerrilla Analytics can help.

    The key to a high performing Guerrilla Analytics team is its ability to recognise common data preparation patterns and quickly implement them in flexible, defensive data sets.

    After this webinar, you'll be able to get your team off the ground fast and begin demonstrating value to your stakeholders.

    You will learn about:
    * Guerrilla Analytics: a brief introduction to what it is and why you need it for your agile data science ambitions
    * Data Science Patterns: what they are and how they enable agile data science
    * Case study: a walk through of some common patterns in use in a real project
  • Many believe that Daily Fantasy Sports (DFS) is the next immensely popular online game, similar to the arrival of Poker a decade ago. This relatively new phenomenon is taking North America by storm and slowly knocking on Europe's doors.

    One of the most important elements of this fast-growing industry is Big Data. The games are powered by highly sophisticated algorithms to assess the crucial aspects of an athlete's performance that could contribute to an overall result. Data processing takes a central role on platforms, which then reflect action on the pitch on fans' smartphones, laptops or tablets. At the end of sports matches, the stats are available for further analysis.

    But is DFS really a game of skill, or just another form of gambling? Can it merge together with traditional sports betting or is a ''dangerous'' substitution product? These are some of the topics that will be covered by Valéry Bollier and Benjamin Carlotti in this hot topic webinar.
  • Rob will talk about how the Obama campaign in 2012 predicted which people were likely to vote for him and Mitt Romney and how these techniques are useful for any marketing team. He'll discuss how his company The Outside View predict which homeowners are most likely to move house and how property companies are using behavioural psychology to engage with them more effectively.
  • Machine learning isn’t a new topic. So why is it suddenly so hot?

    In this on-demand webinar, SAS data scientist Patrick Hall discusses the principles of machine learning, the multidisciplinary nature of data analysis and the traditional methods used in machine learning applications.

    He will also highlight factors to consider when putting machine learning into practice, including:

    • Pros and cons of machine learning.

    • Tips for gaining management buy-in for implementation.

    • Keys to a successful deployment.
  • Data professionals tend to see Hadoop as an extension of the data warehouse architecture and not a replacement; however it can reduce the overhead on expensive data warehouses by moving some of the data and processing to Hadoop. The Big Data framework has been extended beyond the warehouse to incorporate operational use cases such as customer insight 360, real-time offers, monetisation, and data archival. Generating value from big data requires the right tools to move and prepare data to effectively discover new insights. In order to operationalize those insights, new data must integrate securely with existing data, infrastructure, applications, and processes.

    In this webinar you will see how Oracle and Hortonworks has made it possible for you to accelerate your Big Data Integration without having to learn MapReduce, Spark, Pig or Oozie code. In fact, Oracle is the only vendor that can automatically generate Spark, HiveQL and Pig transformations from a single mapping which allows our customers to focus on business value and the overall architecture rather than multiple programming languages
  • The adoption of performance management methodologies across all types of businesses continues, but the expected step-change in organisational performance still today, often proves elusive.

    Join Information Builders and Phil Jones, a thought-leader in performance management and business strategy, where we will identify some of the key reasons for such mixed results.

    In this 30 minute webinar, we will explain the importance of connecting up common performance management practices with decision-making processes within organisations, to deliver a significant improvement in operational performance.

    Attend this webinar to learn:

    - How decisions really get made in organisations
    - Where traditional performance management thinking can go wrong
    - How to make sense of the maelstrom of KPIs, measures and useful information
    - Best practices for taking and acting on decisions to improve performance
    - How to really learn from decision making and performance management
  • ​Nichts im Sortiment gefunden? Doch ihre Umsätze können steigen - das Geheimnis der Customer Journey...oder was Sie schon immer über ihre Produkte und das Verhalten Ihrer Kunden wissen wollten.
    Herr Daniel Wrigley (SHI) und Herr Andreas Leichtle (Hortonworks) werden einen Vortrag, in Form einer Fallstudie zum Thema halten und dazu eine Live-Demo mit informativen Dashboards zeigen.
    Worum es geht: Jeder Kunde hinterlässt überall seine digitale Spuren, die im Kontext mit anderen Daten, auch aus anderen Systemen, neue Erkenntnisse liefern, die den Geschäftserfolg steigern werden.

    Wir betrachten die Ausgangslage eines E-Commerce Shops:
    1. Steigender Traffic im Shop wird registriert (die Marketingaktivitäten wirken also)
    2. Der Umsatz bleibt konstant (eigentlich war die Erwartungshaltung, ein steigender Umsatz)
    3. Und die Conversion-Rate sinkt sogar

    Diese Fragen suchen nun nach einer Antwort:
    1. Wie viele Kampagnen gab es zu welchem Produkt?
    2. Was sind meine Topseller?
    3. Sind meine Topseller profitabel?
    4. Was beeinflusst meinen Profit?
    5. Gibt es Kundenfeedback?
    6. Wie gelangen die User zu Produkten und wie werden sie aufgefunden?

    Die komplexen Zusammenhänge werden gezeigt:
    Die Vielzahl von Daten und Informationen, unstrukturiert oder strukturiert, geben den Aufschluss. Live, in einer Demo, sehen Sie, durch Dashboards veranschaulicht, wie diese Fragen eine Antwort finden. Warum kam es zu dieser Ausgangslage und welche Maßnahmen müssen ergriffen werden, um diese Situation zu bereinigen damit die ursprünglichen Ziele doch erreicht werden können.

    Die Analyse dieses Falls wird 4 Aktionen aufzeigen, die zu der Lösung umgesetzt werden müssen.
  • Join us to learn how search-driven analytics can make BI accessible to all users, as well as to discover the strengths and weaknesses of the different approaches to analytical search.