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Introducing MicroStrategy 9.3: Visual Exploration/Big Data/Dashboards/Analytics

Enhancements to the MicroStrategy Platform feature ground-breaking upgrades to Visual Insight including new data visualizations, enhanced interactivity, and faster dashboard creation.
Recorded Jul 19 2012 63 mins
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Presented by
Brian Brinkman, Eric de Roos, Vihao Pham
Presentation preview: Introducing MicroStrategy 9.3: Visual Exploration/Big Data/Dashboards/Analytics

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  • Designing Data Lakes: Architecture options with open source tools Oct 25 2017 12:00 pm UTC 60 mins
    Maloy Manna, PM Engineering, AXA Data Innovation Lab, Paris
    The concept of Data lakes evolved to address challenges and opportunities in managing big data.

    Organizations are investing massive amounts of time and money to upgrade existing data infrastructures and build data lakes whether on-premises or in the cloud.

    This talk will discuss architectures and design options to implement data lakes with open source tools. Also covered are challenges of upgrade & migration from existing data warehouses, metadata management, supporting self-service and managing production deployments.
  • Introduction to Blockchain: Bitcoin, Ethereum, Ledgers, and more Oct 9 2017 2:00 pm UTC 60 mins
    David Siegel, Blockchain, decentralization and business agility expert
    Still confused about this whole Blockchain thing? Interested in investing in digital currencies, but not sure where to start? Want to get a better idea of the threats and opportunities?

    David Siegel is a Blockchain, decentralization and business agility expert who has been a high-level management & strategy consultant to companies like Sony, Hewlett Packard, Amazon, NASA, Intel, and many start-ups. David has been praised for being able to explain Blockchain in the most simple and interesting way.

    What you will learn:
    -What is Bitcoin?
    -What is the blockchain?
    -What is Ethereum? What is Ether?
    -What is a distributed application?
    -What is a smart contract?
    -What is a triple ledger?
    -What about identity and security?
    -What business models are at risk?
    -What are the opportunities?
    -What should we do?
  • Cloud Object Storage and the Use of Gateways Sep 26 2017 5:00 pm UTC 75 mins
    Dan Albright, Cloud Object Storage Program Manager, IBM, Alex McDonald, SNIA Cloud Storage Chair, NetApp
    The use of cloud object storage is ramping up sharply, especially in the public cloud, to reduce capital budgets and operating expenses. However, enterprises are challenged with legacy applications that do not support standard protocols to move data to and from the cloud.

    Enterprises have developed strategies specific to the public cloud for Data Protection, Archive, Application development, DevOps, Big Data Analytics and Cognitive Artificial Intelligence. However, these same organizations have legacy applications and infrastructure that are not cloud friendly.

    Object storage is a secure, simple, scalable, and cost-effective means of managing the explosive growth of unstructured data enterprises generate every day. Gateways enable SMB and NFS data transfers to be converted to Amazon’s S3 protocol while optimizing data with deduplication and providing QoS efficiency on the data path to the cloud.

    This webcast will highlight the market trends toward the adoption of object storage and the use of gateways to execute a cloud strategy, the benefits of object storage when gateways are deployed, and the use cases that are best suited to leverage this solution.

    Join this webcast to learn:
    •The benefits of object storage when gateways are deployed
    •Primary use cases for using object storage and gateways in private, public or hybrid cloud
    •How gateways can help achieve the goals of your cloud strategy without
    retooling your on-premise infrastructure and applications
  • Deep Stupidity: Probing the limits of AI, Deep Learning and Analytics Sep 25 2017 1:00 pm UTC 60 mins
    Prof J. Mark Bishop, Director, TCIDA (The Centre for Intelligent Data Analytics)
    On December 2nd 2014, provoked by the impact of `Deep Learning’ and other recent scientific and technical advances in Artificial Intelligence, Professor Stephen Hawking released a terrifying warning about the coming technological singularity and the existential danger of AI: "The development of full artificial intelligence could spell the end of the human race. It would take off on its own, and re-design itself at an ever-increasing rate," Professor Hawking said. "Humans, who are limited by slow biological evolution, couldn't compete, and would be superseded".

    Fashions in AI come and go - and the hype around so called ‘Deep Learning’ networks is not without precedence - so what is it about ‘nouveau AI’ that warrants such alarm?

    Conversely, in this talk, I will endeavour to situate recent technological landmarks more properly in their historical niche; concluding, by foregrounding the computationally-impregnatable barriers which remain between ‘Deep Minds’ and `Real Minds`.
  • A Guide to Machine Learning Patterns and Data Visualizations Aug 24 2017 5:00 pm UTC 60 mins
    Dr. Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labs
    Data visualization must be intuitive in order for non-IT business leaders to see data patterns. Representing data in a graphical or pictorial format is easy, but constructing the data in the best and most logical way can be tricky.

    In this session, Umesh will talk about how to represent data simply to make quicker and better business decisions. He will walk through several data visualization techniques through business cases and examples. By the end of the session, you will not only know different data visualization techniques, but also have an understanding of circumstances under which each technique should be used and the best way to represent particular data sets for different business cases.
  • Data scientists: Can't live with them, can't live without them. Aug 24 2017 3:00 pm UTC 45 mins
    Wyatt Benno, CEO, DataHero
    There has been a flood of publicity around big data, data processing, and the role of predictive analytics in businesses of the future.
    As business operators how do we get access to these valuable business insights, even when there is not a data analyst around to walk us through their results?

    - Should your software emulate a data scientist?
    - Learn about the power of data visualizations.
    - Learn about creating value from disperse data sets.
  • Data Visualization for Predictive Analytics Aug 24 2017 2:00 pm UTC 60 mins
    Andy Kriebel, Eva Murray, Benedetta Tagliaferri
    What does the future hold?

    Predictive Analytics - everyone is talking about it and many organisations claim to be doing it. But are they? And what insights do they gain to then make tactical or strategic changes? How can analysts work with decision makers by sharing results in a visually effective and meaningful way while also informing them about possible courses of action?

    This webinar is presented by Andy Kriebel, Head Coach at the Data School and Eva Murray, Tableau Evangelist at Exasol. Our guest speaker on Predictive Analytics is Benedetta Tagliaferri, Consulting Analyst at The Information Lab.

    The webinar will look at some examples of predictive analysis and will show data visualization examples that are actionable and can drive further questions and discussions in an organisation.
  • Ask the Visualization Expert: Live Q&A on Advanced Data Visualization Aug 24 2017 1:00 pm UTC 60 mins
    Carl Edwards, BI Consultant, Brett Churchill, BI Consultant
    Looking to take your graphs to the next level? Want to make sure you choose the right visualization? Plagued by the challenges of geospatial heat maps?

    Get your questions ready and join this session where data experts Carl and Brett will go over the common questions they get asked and answer all the data visualization issues you've been plagued with, including how to:

    -Use location-based data to put your visualization on the map
    -Uncover new relationships, patterns and opportunities
    -Identify emerging trends
    -Answering comparative business questions with set analysis
    -Understand best practices for creating an aesthetically-pleasing and useful visualization
  • How Many Analysts Does It Take To Change a Lightbulb? Aug 24 2017 10:00 am UTC 45 mins
    Steve Adams, Senior Consultant, Visual DJ, Ltd.
    When analysis needs to be used by decision makers that didn’t create it, the communication of the information and the message it conveys becomes critical. There is a plethora of ways to layout reports and dashboards, even within a single company.
    Enter the SUCCESS formula, that “lightbulb” moment.

    Introduced by the IBCS Association (International Business Communication Standards) the SUCCESS formula provides conceptual, perceptual and semantic rules that enable faster, better, and less-costly results in all stages of business communications and decision-making processes.

    This webinar will introduce the 7 Rules of SUCCESS that provides a toolkit to aid analysts in designing their visualisations for better reach and decisions in their target audience.

    The webinar will also introduce The Philips journey to implementing IBCS principles in their global "Accelerate!” Initiative.
  • Tensorflow machine learning library and sample of application Aug 24 2017 9:00 am UTC 45 mins
    Marwa Ayad Mohamed ( Founder of YourChildCode ,Team lead software Engineer, Women Techmakers Cairo Lead)
    Tensorflow is an open source software library for numerical computation and machine learning.

    Join this session where Marwa will discuss:

    -Introduction to Artificial intelligence, machine learning and deep learning
    -Sample of machine learning applications
    -Tensorflow Story, Model and windows installation steps with object recognition demo.
  • Artificial Intelligence: Methods, Applications and Impacts Recorded: Aug 23 2017 49 mins
    Arinze Akutekwe, PhD Data Scientist, BAS EMEIA – Intelligent Enterprise - Analytics at Fujitsu
    Artificial intelligence has greatly changed the way we live since the 20th century. It involves the science and engineering of making machines intelligent and autonomous using computer programs.

    The processing power of computers has been on the exponential increase with cost of processors and storage decreasing. This has made research and developments efforts in AI areas such as deep learning, once thought to be impossible possible.

    In this webinar, we will examine current methods, application domains of specific methods, their impacts on our daily lives and try to answer questions on ethics of applying these technologies.
  • Ask the Data Expert: Live Q&A on All Things Machine Learning & AI Recorded: Aug 23 2017 59 mins
    Wim Stoop, Cloudera
    Join this webinar where data expert Wim Stoop from Cloudera will answer all of your Machine Learning & AI questions live.

    Wim will also go over some frequently asked questions on Machine Learning and AI such as:

    - Why is machine learning and AI crucial to master for organisations?
    - What components are needed to take advantage of data science?
    - Which use cases drive the greatest value?
  • Putting AI into LeAdershIp Recorded: Aug 23 2017 45 mins
    Prof. Dr. Michael Feindt, Founder & Chief Scientific Officer, Blue Yonder
    Artificial Intelligence (AI) is not a technology for the future; it’s a huge business opportunity for today. But how can your organisation become a trailblazer for AI innovation, transforming the way you work to deliver immediate – and lasting – bottom line value?

    Former CERN scientist, Prof. Dr. Michael Feindt, is one of the brightest minds in Machine Learning. Join him for a 30-minute masterclass in how to apply AI to your business.

    You’ll learn how AI can:
    •Make sense of market and customer complexity, to deliver quick and effective decisions every single day
    •Increase workforce productivity to improve output and staff morale
    •Enhance decision-making and forecasting accuracy, for operational efficiency and improved productivity
    •Be implemented into your business quickly, easily, with minimal disruption

    Michael will also share real-life examples of how international businesses are using AI as a transformation tool, from his experience as founder of market-leading AI solution provider, Blue Yonder.
  • Analytics Nightmares and How You Can Prevent Them Recorded: Aug 22 2017 49 mins
    Meta S. Brown, Author, Data Mining for Dummies and President, A4A Brown, Inc.
    Analytics risks can keep you up at night. What if…
    · We make a big investment and don’t break even?
    · Management doesn’t trust the results?
    · Analysts cross data privacy boundaries?

    What a dilemma! You see the perils, yet you want the rewards that analytics can bring. The appropriate process enables you to dramatically reduce risks and maximize returns on your data and analytics investment.

    In this presentation, you will learn:
    · What causes most analytics failures
    · How you can diminish risk and maximize returns through strong analytics process
    · Why you (yes, you!) have a pivotal opportunity to establish high standards for analytics process right now
  • Data Analytics in Financial Services: Identifying obstacles and key issues Recorded: Jul 20 2017 61 mins
    Alex Kwiatkowski (Finastra), Peter Jackson (Southern Water), Jessica Holzbach (Penta)
    In an increasingly digitalised world, the value of information grows ever higher. Winning organisations – whether in financial services or any other vertical sector – will be those who can harness the power of data analytics to develop microscopic levels of insight and foresight into customer behaviours and operational activities in order to make progressive improvements on a continuous basis. Product development informed by factual evidence rather than educated guesswork, or real-time risk management based on a hyper-accurate picture of exposures, bring significant internal and external benefits.

    However, while banks want to get closer to their customers, is the feeling mutual? Data privacy is a very sensitive issue, and the perception of what constitutes intrusion will likely vary between individuals. Institutions, therefore, need to walk a fine line between what’s genuinely useful and what’s genuinely creepy.

    During this webinar, a panel of respected subject matter experts will discuss and dissect the key issues related to the widespread use of data analytics in financial services, identifying the obstacles which need to be overcome and the enablers that will drive FS forward successfully.
  • Managing privacy risk in advanced analytics and machine learning Recorded: Jul 20 2017 43 mins
    Charlie Cabot - Research Lead- Privitar, Jason du Preez - CEO - Privitar, Daniel Cohen - Sales Engineer - Privitar
    Personal data is a highly valuable asset. The winners of the future will be the organisations that make privacy intrinsic to data innovation. Join this webinar to learn how emerging best practices and technological solutions are helping financial institutions tackle data privacy in analytics and ML and drive commercial benefit.

    Privitar is a leading privacy engineering software company. Privitar enables organisations to use, share and derive insight data safely. Privitar creates opportunities by allowing broader use of valuable information assets for collaboration and sharing, whilst reducing the risk associated with storing, processing and using sensitive data due to data breaches, regulatory penalties and the misuse of data.
  • Radiant, a powerful open source Shiny application for business analytics Recorded: Jul 11 2017 58 mins
    Ali Marami Chief Data Scientist
    Radiant is a robust tool for business analytics and running sophisticated models without any need for code development. It leverages the functions and tools in R and at the same time provides a user-friendly interface. With Radiant, you can manipulate and visualize your data, run different models from simple OLS to decision trees (CART) and neural networks, and evaluate your results.

    The application is based on the Shiny package and can be run locally or on a server. Radiant was developed by Vicent Nijs. In this webinar, we review the tools available in Radiant and explain how easily you can use this tool without any setup or installation on your system.

    Radiant key features:

    • Explore: Quickly and easily summarize, visualize, and analyze your data
    • Run different models: OLS, GLM, Neural Networks, Naïve Bayes and CART.
    • Cross-platform: It runs in a browser on Windows, Mac, and Linux
    • Reproducible: Recreate results and share work with others as a state-file or an Rmarkdown report
    • Programming: Integrate Radiant's analysis functions with your own R-code
    • Context: Data and examples focus on business applications

    After this webinar you will learn:

    • Data manipulation and running different models
    • How to run advanced analytics in a browser on any device even in your tablet or iPad.


    Presenter bio:

    Ali has a Ph.D. in Finance from the University of Neuchatel in Switzerland and a BS in Electrical Engineering. He has extensive experience in financial modeling, quantitative modeling, and financial risk management in several US banks.
  • Death to Traffic: How Smart Cities are Changing Transportation Recorded: Jun 23 2017 45 mins
    Laura Schewel, CEO, StreetLight Data
    From automated vehicles to ride hailing apps, transportation as we know it is changing - and fast. But new technologies alone won't help communities build the efficient, equitable, and sustainable transportation networks communities want. In fact, these innovative technologies could do just the opposite, especially if they are not deployed wisely. Cities must collect the right data and enact the right policies to ensure they do not exacerbate problems like inequity and traffic, and to hold themselves accountable to the promise of new mobility technologies.

    In this webinar, you will find out why - and how - the smartest cities of tomorrow will be those that adopt data-driven transportation strategies today. Join for Laura Schewel's presentation to gain insights into:

    • Why the status quo for transportation data collection is no longer good enough
    • The types of Massive Mobile Data that are useful for transportation and urban planning
    • Algorithmic processing techniques that are critical for making this data useful
    • Case studies from California and Virginia that demonstrate why Massive Mobile Data drives more effective transportation planning
    • A forward-looking blueprint for using Massive Mobile Data to maximize the potential benefits of new transportation technologies - and minimize negative impacts

    Laura Schewel founded StreetLight Data, a mobility analytics provider, after spending more than a decade as an advanced transportation researcher and statistician at the Rocky Mountain Institute and FERC. She has particular expertise in transportation systems, sustainability and safety, and vehicle/system modeling and analysis.
  • How IoT Will Make Healthcare Healthy, Wealthy, & Wise Recorded: Jun 23 2017 46 mins
    Jarie Bolander, COO, Lab Sensor Solutions
    IoT is a technology that has the potential to make us healthy, wealthy, and wise especially in healthcare. Healthcare is just now adopting IoT to improve patient outcomes and decrease the cost of care.

    In this webinar, you’ll learn:

    - How to identify if an IoT solution will work for your use case.
    - What others in healthcare are using IoT for.
    - The challenges of IoT in healthcare
  • Visualizing Smart Cities: How Data Visualization can help shape our communities Recorded: Jun 23 2017 46 mins
    Andy Kriebel, Head Coach at The Data School, Tableau Zen Master & Eva Murray, Tableau Evangelist at EXASOL, Tableau Trainer
    Whenever there is data, there is the chance to visualize it and gain valuable insights that can drive change and improvements. Governments have realized the potential that data holds for transforming our towns, cities, living spaces and communities to better address the needs of our modern society.

    Governments may want to change public transport services to suit commuters who move away from city centers due to increasing living costs, or develop programs that deliver more support services to areas showing high incidences of mental illnesses, or simply monitor bike traffic to assess the necessity of additional cycle lanes and bike share programs in our capitals. Data and data visualization can help us identify the needs of our communities and can support us in addressing them effectively.

    In this webinar Andy and Eva will present examples of Government using data to improve services for communities and will share how you can get involved through analyzing open data and becoming part of the wider 'dataviz' community.
Make smarter moves with your big data management
Make smarter moves with your big data management

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  • Title: Introducing MicroStrategy 9.3: Visual Exploration/Big Data/Dashboards/Analytics
  • Live at: Jul 19 2012 2:00 pm
  • Presented by: Brian Brinkman, Eric de Roos, Vihao Pham
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