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.
  • 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.
  • 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
  • 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
  • ​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.
  • Join guest speaker Holger Kisker Ph.D. as he discusses what companies need today: a flexible data management architecture to cope with both traditional and emerging sources of data (in any structure), advanced data analytics to extract deeper business insights, and efficient ways to deliver these insights as information or data services for better business decisions. All embedded into an efficient data virtualization layer that makes all data available when, where, and in whatever format it is needed.
  • Watch a short demo on the technology behind search-driven analytics, the future of Business Intelligence. You will see how ThoughtSpot allows anyone - with zero training - to get answers from their data and make smarter decisions.
  • This webinar will focus around the What, Why and How of Sales Performance Management (SPM) and Incentive Compensation Management (ICM) automation.
    Learn What SPM can do for your organisation, its benefits and real life stories of other organisations and how they are thriving in a new, more automated world. Based upon research, you will also be exposed to the answers as to Why organisations embark on the journey to automation. Finally, you will be shown a demonstration as to How an automated solution can be used to enhance sales performance, reduce administrative headaches and allow your organisation to move from a day to day survival mode of calculation to using IBM’s ICM solution as a strategic advantage.

    What Is OpenSymmetry?

    OpenSymmetry is a trusted leader and global advisor that delivers Sales, HR and Finance solutions to drive accelerated business performance. With a leading success rate across more than 20 industries worldwide, you can count on OpenSymmetry to deliver the comprehensive solutions you need for a proven path to rapid results.


    James Mulligan - James has been working in the SPM industry for over 9 years. With experiences across numerous products and platforms, as well as multiple implementation and selling roles, James has the knowledge and experience to speak to every level of the SPM engagement. James joined Varicent (now IBM ICM) in June 2006 as an Implementation Consultant and held numerous roles at both Varicent and IBM, before moving to OpenSymmetry in 2014 to lead sales in EMEA.

    Jon Clark – Jon joined OpenSymmetry in 2009. He leads the Strategy Services practice for EMEA, which focuses on Smarter Sales development, incentive plan design, business case for automation and future state design. In addition, Jon has experience in wider reward and performance management design.
  • Large-scale forecasting problems require you to understand the structure of your time series data. Whether you’re a retailer trying to determine the right assortment of SKUs for your stores, part of a telco anticipating call center demand for labor capacity planning, or in any industry where you need to make forecasts over time – this webinar will be of interest.

    Join us as we discuss an approach for successfully forecasting the wide range of time series patterns through time series segmentation. We will also show how the new SAS® Forecast Server client makes time series segmentation an integrated part of the forecasting process.

    Watch and learn:

    • The basics of time series segmentation and the value of its application to large-scale forecasting challenges.

    • How to apply the right forecast modeling strategy to any time series pattern with the new SAS Forecast Server client.

    Go ahead and watch now!
  • See how CA manages and monitors our own CA SAP environment

    SAP applications and the business processes they enable often represent the very core of your business. Customers, partners, and employees expect availability, responsiveness and secure access, while the CEO expects that budget objectives will be met and efficiencies exploited to improve the bottom line. CA Technologies provides a robust portfolio of SAP certified IT management solutions which help reduce the cost and risk associated with delivering your SAP enabled business processes, while helping to enable the service levels needed for more optimal business operations.

    In this session you’ll learn:
    • The business drivers, technical challenges and importance of SAP in the daily works of CA
    • How CA manages its own SAP implementation with CA APM solutions
  • Do you need to build and retrain lots of predictive models quickly? Do you want to test a variety of statistical and machine learning algorithms and easily find the best-performing model? Do you need automated machine learning at scale?

    If the answer is yes to any of these questions, you’ll want to watch this on-demand webinar. Learn from SAS experts Sascha Schubert and Jonathan Wexler as they talk about the ins and outs of automated machine learning at scale. They’ll also demo one of SAS’ newest offerings – SAS® Factory Miner.

    Watch this on-demand webinar and learn how to:

    • Easily build and retrain hundreds of predictive models across multiple segments. (With a drag-and-drop interface!)

    • Automatically pick the best model for each segment.

    • Quickly deploy champion models in different environments.

    • Take advantage of automated machine learning techniques.
  • Join Grant Bodley for a webinar on Automotive Transformation on the Information Superhighway. Grant is GM of Global Manufacturing Industry Solutions at Hortonworks and will explain:

    Forces transforming the automotive industry
    Disruptive innovation driven by Big Data and the Connected Car
    Open Enterprise Hadoop and the Information Superhighway, and
    How automakers are using new data insights to transform their business
  • At the heart of every business is its customer. Yet how many businesses truly align their entire organization around the customer and the customer’s experience with their business?

    Join us for our Digital Business Transformation Workshop as our experts walk through the first steps of a Digital Transformation and layout a simple frame work that you can apply to design your businesses Digital Transformation road-map.

    This Digital Business Transformation Workshop is designed to help you:

    1.Understand all the ways your customer(s) touch your business
    2.Design a simple Framework on where to start and what to do next
    3.Case Study: See a firsthand example of a Health Insurance Company’s Digital Business Transformation and how they began their process.
  • Learn more about your market than you ever thought possible with Business Data Enrichment from Informatica Data as a Service. Our Business Data Enrichment offerings are powered by Dun & Bradstreet and are now offered as mapplets in Informatica Data Quality, MDM, and PowerCenter.

    These new mapplets will give Informatica Data Quality, MDM, and PowerCenter customers access to over 150 fields of enriched data about their customers, partners, competitors, vendors, and prospects.
    Simply grab the mapplet from the Informatica Marketplace, get a subscription to Business Data Enrichment and start appending this highly detailed data that you wouldn’t otherwise be able to access within a product that you already use and love.

    Mapplet users will be able to:
    • Perform deep market analysis leveraging detailed firmographics
    • Go beyond just the data that you have within your company’s systems by pulling in trusted, enriched data from the world leader in B2B data
    • Target your top prospects based on the segments that are most important to you
    • Personalize communication to all prospects based on the new data you have about them

    Learn more in this webinar for Informatica Data Quality, MDM, and PowerCenter users.
  • Every company needs to be a technology company to survive in the application economy. Business and customer expectations are immediate and changing on a daily basis. This continuous and disruptive flow of new demand requires an effective approach for managing and consuming centralized resource management insights. Organizations have improved their investment review and approval process but it is more important to determine if an organization “can” take on the desired effort.

    This Webcast will focus on how resource management processes play a key role in potentially providing the insights necessary to answer the “can we” question that must be asked before allowing any new project or program for inclusion in the enterprise portfolio.

    •Do we have the resource capacity?
    •Do we have the resource capability?
    •Can we supplement our existing resources with 3rd-party resources?
    •What are the resource cost comparisons and ramifications?
  • Descubra cómo los datos abiertos compartidos en la nube están generando innovación. Dado que los sensores y los sistemas de TI producen muchos datos, es cada vez más necesario proveer los datos junto a tecnología escalable en la nube para asegurar que los datos sean analizados y hecho útiles. Cuando las organizaciones capturan, documentan y comparten datos, pueden lograr sus objetivos a menores costos al tiempo que añade valor a la economía. Amazon Web Services proporciona un amplio conjunto de herramientas para recopilar, almacenar, analizar y trabajar con datos en cualquier escala.

    Este seminario ofrecerá una visión general de cómo las organizaciones están compartiendo datos abiertamente en la nube para reducir el costo de la innovación, mejorar la entrega de servicios, y hacer frente a los problemas sociales más grandes. Se explicará cómo AWS selecciona conjuntos de datos para su programa de Public Data Sets y abordar los aspectos económicos de la apertura de los datos en la nube.