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Big Data Analytics

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  • Data Visualization: Best Practice Tips for Improving Personal Finance Data Visualization: Best Practice Tips for Improving Personal Finance Ina Yulo (BrightTALK), Steve Tigar (Money Dashboard), Dan Scholey (Moneyhub) Recorded: Sep 22 2016 58 mins
    Data visualisation is a discipline that uses graphs and charts to easily communicate large chunks of data into easily digestible formats.

    When it comes to personal finance, data visualization has been used to create useful dashboards where users can keep track of their spending, income, and budgeting.

    Join this session where we will discuss:

    -Why is data visualization so useful when it comes to personal finance?
    -What are the best data viz tools/apps for personal finance?
    -What are customers missing from banks that personal finance fintechs are able to provide?
    -What are the best practice tips for using dashboards and apps to improve personal finance?
    -What are some common mistakes people make when managing their personal finances?
    -What are some common misconceptions of data visualization?
  • Omni-channel self service BI Omni-channel self service BI Ronald van Loon, Director Business Development, Adversitement Recorded: Sep 15 2016 49 mins
    Many companies nowadays run their business through multiple channels. So to get insight into customer behavior they may perceive a need to focus on creating an omni-channel view. Obviously this is primarily on data collection, but using the data for visualization and analytics is that important.
    It will facilitate use of BI tools by stakeholders to get the right insights. But are all tools suitable for all people, what are best practices and how to organize your teams to get best results?

    In this webinar, Ronald van Loon will:
    • Elaborate on the challenges
    • Show how a new approach contributes to meeting them
    • Discuss several case studies and their results
  • Truth or Dare: Real World Applications of Predictive Analytics Truth or Dare: Real World Applications of Predictive Analytics Jamie Turner, CTO, PCA Predict & Triggar Recorded: Sep 15 2016 35 mins
    What’s the truth about using predictive analytics – the possibilities and reality; and dare you use it? Do you have the technical ability to implement it, and the tools to do something in response to the predictions?

    In this webinar we’ll look at the full spectrum of technology and benefits, then tear it down into something we can actually use now, that’s not scary and delivers measurable value to you and your customers.
  • Self-service BI for SAP and HANA – Dream or Reality? Self-service BI for SAP and HANA – Dream or Reality? Swen Conrad, CEO, Ocean9 Recorded: Sep 14 2016 48 mins
    Gartner predicts that “analytics will be pervasive … for decisions and actions across the business.” Sounds like analytics nirvana with instant access for any analysis you want to do, in other words self-service BI. Is this dream or reality?

    Join this webinar to find out how clouds like AWS or Azure are moving the industry close to this nirvana today through simple assembly of cloud services combined with the appropriate consumption model of these services.

    We will demonstrate how easy it is to provision your high end SAP HANA Database right next to your BI Analytics tier.

    Maybe we are closer to this nirvana than you think?
  • Old. vs. New Trends in Data Analytics Old. vs. New Trends in Data Analytics Ani Manian, Head of Product Strategy, Sisense Recorded: Sep 14 2016 49 mins
    The “Old” world of BI, with its IT centric solutions, OLAP based reporting, and limited ad-hoc querying, has a lot of shortcomings that inhibit self-service BI. Yet, with increasing data complexity has come a new age of BI that is focused on taking strides to provide faster, more data driven and integrated solutions to try and empower the business user.

    Join Ani Manian, Head of Product Strategy at Sisense, as he explains the old and new trends in data analytics, and how you can make sure you benefit from a more business-centric world. You’ll learn how to set up meaningful KPI’s, model data according to specific business needs, and work interactively with business users to prototype relevant reports.
  • Empowering business users with self-service analytics and data visualization Empowering business users with self-service analytics and data visualization Ina Yulo, Tom Berthon (Senior Product Owner, Growth team), Kathryn Birch (Customer Success Manager), BrightTALK Recorded: Sep 14 2016 45 mins
    Data is everywhere, but unfortunately, most business users don't have the time to sort through a bunch of stats. They just want to see the bigger picture--so why not give it to them?

    Self-service analytics has enabled business users to access and interpret data without needing any statistics background. When coupled with data visualization techniques, we've seen that not only are business users more encouraged to make more data-driven decisions, but they are also able to do this without needing help from their BI or IT teams.

    Join this session where we will discuss:
    -How to encourage people from all different teams to embrace self-service analytics
    -Why data visualization plays a huge role in the success of a data-driven culture
    -Top things to take note of when creating dashboards that can easily communicate and add value
    -How to teach users to get the most from their data and generate actionable insights
  • What’s New in HPE Service Anywhere August 2016 Release What’s New in HPE Service Anywhere August 2016 Release Steven Anderson, Tonya Scherba, Julie Azoulai HPE Recorded: Sep 8 2016 60 mins
    HPE Service Anywhere is a comprehensive, Big Data SaaS service desk based on industry best practices and built on a modern, scalable platform.

    August 2016 brings a new, feature-packed HPE Service Anywhere release. This webinar will present the release highlights and the benefits they will bring to your service desk.

    Highlights include:

    New mobile application that enables employees to self-solve issues and request services
    ChatOps-style integration with Slack and Hubot for collaboration and fast incident resolution
    On-call schedules for automatic routing of tickets to on-duty agents
    Project and portfolio management and asset management enhancements
    Security and performance features
  • Analytics Suite for Data Accuracy and Privacy. Off-the-Shelf or Build Your Own? Analytics Suite for Data Accuracy and Privacy. Off-the-Shelf or Build Your Own? Maciej Zawadziński, CEO, Piwik PRO Recorded: Sep 7 2016 39 mins
    Join this webinar where we will cover some of the features and ideas for ensuring data accuracy, which is vital for business users. We will also discuss the forthcoming EU privacy regulations and how to make sure your setup is ready for this shift (GDPR comes into force in 2018).

    Finally, we will present some ideas on whether to use a ready off-the-shelf solution or invest in creating your own. Its seems that the whole build vs rent discussion has reached the tipping point this year and there may be some surprising answers.
  • Preview of Next HPE Service Manager and ITSM Automation Suite Releases Preview of Next HPE Service Manager and ITSM Automation Suite Releases Michael Pott, Scott Knox, Greg W. Morrison, Sree Subramaniam, HPE Recorded: Aug 31 2016 87 mins
    Join us in this webinar to discuss latest HPE Service Manager and ITSM Automation Suite innovations and learn about what is coming with the next releases. Topics we will look at include:

    New service portal for HPE Service Manager based on HPE Propel technology for a superior user experience
    End user chat using virtual agent and Big Data technologies for improved customer satisfaction
    Native email integration leveraging Big Data analytics to decrease ticket handling times further
    New innovations to leverage Chat for IT Operations Management use cases such as the major incident process
  • The Role of FPGAs in SparK Accelerators The Role of FPGAs in SparK Accelerators Shreyas Shah, Principal Data center Architect, Xilinx Recorded: Aug 29 2016 61 mins
    In the cloud computing era, data growth is exponential. Every day billions of photos are shared and large amount of new data created in multiple formats. Within this cloud of data, the relevant data with real monetary value is small. To extract the valuable data, big data analytics frame works like SparK is used. This can run on top of a variety of file systems and data bases. To accelerate the SparK by 10-1000x, customers are creating solutions like log file accelerators, storage layer accelerators, MLLIB (One of the SparK library) accelerators, and SQL accelerators etc.

    FPGAs (Field Programmable Gate Arrays) are the ideal fit for these type of accelerators where the workloads are constantly changing. For example, they can accelerate different algorithms on different data based on end users and the time of the day, but keep the same hardware.

    This webinar will describe the role of FPGAs in SparK accelerators and give SparK accelerator use cases.

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