Hi [[ session.user.profile.firstName ]]

Business Intelligence and Analytics

    • BI & Big Data Analytics in 2017

    • Recorded: Dec 6 2016
    • Big data is bigger than ever and shows no indication of slowing down. Data analytics’ maturation has given business intelligence a great boost, allowing us to collect and analyze insights at rapid speeds. Join these expert sessions on Data Architecture, IoT Analytics, and Predictive Analytics to learn everything you need to know about the advancements in business intelligence and data analytics from this past year and what to expect in 2017.
    • 14 webinars
    • View summit
    • Modern Data Architecture

    • Recorded: Nov 9 2016
    • In any revolution, there’s an eventual need for rules and regulations. It’s no secret that recent advancements in technology have created a data revolution in all of us, leading to a great heap of unstructured and structured data. More importantly, however, it demands modern data architectures that reach beyond in-house warehouses. Join this summit to learn what’s new in conceptual, logical, and physical data modeling, as well as, best practices in standardization and governance to help you build and manage a modern data architecture capable of handling any onrush of data.
    • 6 webinars
    • View summit
    • Data Preparation

    • Recorded: Oct 12 2016
    • It’s the Big Bang of big data; or where it all begins. The foundational first step in data analysis is data preparation. With the potential to derail everything that supersedes it, it’s imperative that the right measures are taken far in advance of any discovery analysis. Join these discussions to learn best practices in proper data cleaning, modeling, transformations and normalization for all data sets.
    • 8 webinars
    • View summit
    • BI & Self-Service Analytics

    • Recorded: Sep 7 2016
    • With today’s advancements in data discovery and data visualization, not everyone needs to have a degree in data analytics to navigate business-critical data on their own. However, creating and implementing self-service analytics is no easy task. Join this summit to learn what systematic tools and methods you can put in place to enable anyone to become a functional data analyst.
    • 5 webinars
    • View summit
    • Visualization & Data Discovery

    • Recorded: Aug 10 2016
    • Data is not beautiful, data is ugly. What makes data beautiful is in its presentation. A thoroughly thought out design and construction of visualizations and discovery methods tells the better story; one that anyone can understand. Unfortunately, those don’t just come out of thin air. In this summit, learn the best methods in visualization infrastructure, hierarchical layouts and data mining processes that transform the presentation of your data into something beautiful.
    • 5 webinars
    • View summit
    • Predictive Analytics

    • Recorded: Jun 28 2016
    • “Eighty-six percent of executives with experience in predictive analytics indicate the technology has delivered a positive return on investment,” according to Forbes. Unlike business intelligence’s ad hoc nature, predictive analytics is aimed to tackle the forward-thinking “what if/what’s next” questions businesses are asking of their data scientists and analysts. Join this summit to learn best practices in optimization, predictive modeling, and forecasting for various data types to help your company predict their way to a better business model.
    • 10 webinars
    • View summit
    • Hadoop, Spark & Big Data

    • Recorded: Jun 8 2016
    • Many data professionals struggle with picking between Hadoop or Spark when it comes to Big Data frameworks. Being able to process large amounts of data is a challenge in itself, but finding the most efficient way to do so adds an extra hurdle. Attend this summit to hear why our speakers have chosen the framework they work with, the pros and cons of each type, and gain insights on which might be the right path for you.
    • 10 webinars
    • View summit
    • Concepts and Techniques in Data Modeling

    • Recorded: May 5 2016
    • When it comes to the development lifecycle, data modeling is often the first step in planning and organising the requirements needed to develop the database. From managing, integrating and transforming data, join our panel of speakers as they take you step-by-step through the entire process and share tricks they’ve learned along the way.
    • 6 webinars
    • View summit
    • Data Science & IoT Analytics

    • Recorded: Apr 6 2016
    • The Internet of Things has taken the world by storm, but many are still wary about what it means for the next five years. It has allowed data scientists to pull machine data from many other platforms for easier and quicker analysis. Listen to our experts as they share their insights on the many opportunities that the IoT brings, as well as how to overcome the new challenges analysts may now be faced with.
    • 13 webinars
    • View summit
    • BI & Information Management

    • Recorded: Mar 1 2016
    • From data mining, reporting and ultimately ensuring data quality and analysis, the information management lifecycle allows businesses to gather data and provide value to key stakeholders. Join Business Intelligence and analytics luminaries as they share techniques on using information in the most optimal manner to make the right decisions.
    • 7 webinars
    • View summit