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Cloud Analytics Consortium presents: Analytics in the Cloud: Ready for Primetime

Join a group of knowledgeable and respected industry thought leaders as they discuss their views about how organizations can best prepare for success with DW/BI solutions in the cloud. Highly reputed independent analyst Howard Dresner who brings 30+ years of IT and BI experience will participate on the panel to provide valuable insights on the future of cloud-based DW/BI solutions. Howard will be joined by senior executives from best-in-class technology organizations including Informatica, MicroStrategy, Netezza, ParAccel and Teradata.

Join us to learn:

* Why more companies are using cloud-based DW/BI solutions now, more than ever before
* About industry solutions for concerns around security, performance, and reliability
* How to evaluate whether a cloud DW/BI solution is right for you
* Cloud adoption or migration strategies for any size business
Recorded Dec 6 2012 51 mins
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Presented by
Altaz Bhanji, Dan Ross, Darren Cunningham, Howard Dresner, John Santaferraro, Ralph McMullen, Steve Stone
Presentation preview: Cloud Analytics Consortium presents: Analytics in the Cloud: Ready for Primetime

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  • Data at the corner of SAP and AWS Nov 9 2016 5:00 pm UTC 45 mins
    Frank Stienhans, CTO, Ocean9
    Past infrastructures provided compute, storage and network enabling static enterprise deployments which changed every few years. This talk will analyze the consequences of a world where production SAP and Spark clusters including data can be provisioned in minutes with the push of a button.

    What does it mean for the IT architecture of an enterprise? How to stay in control in a super agile world?
  • Coding the Future of FinTech with Smart APIs and Financial Data Oct 20 2016 2:00 pm UTC 60 mins
    Lars Markull (Figo), Bharat Bhushan (IBM), Giles Sutherland (Carta Worldwide), Stephane Dubois (Xignite)
    Financial data is both the most intimate and most powerful data we have about ourselves. Financial data should not kept in a silo but openly available to third parties, -- this is required for true innovation. However, security and data protection are crucial. Banks and third party providers have to work together to provide the infrastructure required to innovate.

    Join this webinar where we will discuss:
    -The power of APIs -- how to integrate banking data and financial sources quickly and easily
    -What developers need to know about banking APIs and how to foster new services in the FinTech space
    -PSD2 Post-Brexit -- what now?
    -Will traditional banks be replaced by FinTech banks one day?
    -Which is the biggest challenge: market education, technical issues, or regulation?
  • Data Visualization: Best Practice Tips for Improving Personal Finance Sep 22 2016 2:00 pm UTC 60 mins
    Ina Yulo (BrightTALK), Steve Tigar (Money Dashboard), Dan Scholey (Moneyhub)
    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?
  • Truth or Dare: Real World Applications of Predictive Analytics Sep 15 2016 1:00 pm UTC 45 mins
    Jamie Turner, CTO, PCA Predict & Triggar
    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.
  • Achieving Data Driven Marketing Objectives with Self-Service Analytics Sep 15 2016 12:00 pm UTC 60 mins
    John Sweeney Director at Qbase, Francesca Hose-Berte Marketing Consultant at Apteco, Rob Jones Director at Qbase
    Implementing data driven marketing techniques and methodologies is the dream of many advanced, forward thinking marketing pioneers. Attempting to tackle big data sets to perform sophisticated analyses that power data driven marketing can be very daunting. But why are so many businesses investing in data driven marketing? What is it they are trying to achieve?

    In this webinar we will discuss the reasons why organisations see data driven marketing as the future for their businesses. We will examine what they are using it to achieve and how they are achieving it. In addition we will look at what companies need to successfully implement data driven marketing techniques and methodologies for their businesses and, discuss real-world examples of organisations who have done it.

    The session will be hosted by John Sweeney, Sales and Marketing Director at Qbase, with panelists including Francesca Hose-Berte, Business Development and Marketing Consultant at Apteco, and Rob Jones, Head of Delivery at Qbase, who will field questions and share their knowledge and expertise with attendees.
  • Self-service BI for SAP and HANA – Dream or Reality? Sep 14 2016 5:00 pm UTC 45 mins
    Swen Conrad, CEO, Ocean9
    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 Sep 14 2016 3:00 pm UTC 45 mins
    Ani Manian, Senior Manager, Product Strategy, Sisense
    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, Senior Manager 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 Sep 14 2016 2:00 pm UTC 45 mins
    Ina Yulo, Tom Berthon (Senior Product Owner, Growth team), Kathryn Birch (Customer Success Manager), BrightTALK
    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
  • Analytics Suite for Data Accuracy and Privacy. Off-the-Shelf or Build Your Own? Sep 7 2016 2:00 pm UTC 45 mins
    Maciej Zawadziński, CEO, Piwik PRO
    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.
  • The Role of FPGAs in SparK Accelerators Aug 29 2016 5:00 pm UTC 60 mins
    Shreyas Shah, Principal Data center Architect, Xilinx
    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.
  • Design Fast Data Architecture for Big Data with Logical Data Warehouse & Lakes Recorded: Aug 24 2016 56 mins
    Kurt Jackson, Platform Lead, Autodesk
    A Case Study presented by Kurt Jackson, Platform Lead, Autodesk

    Companies such as Autodesk are fast replacing the once-true- and-tried physical data warehouses with logical data warehouses/ data lakes. Why? Because they are able to accomplish the same results in 1/6 th of the time and with 1/4 th of the resources.

    In this webinar, Autodesk’s Platform Lead, Kurt Jackson,, will describe how they designed a modern fast data architecture as a single unified logical data warehouse/ data lake using data virtualization and contemporary big data analytics like Spark.

    Logical data warehouse / data lake is a virtual abstraction layer over the physical data warehouse, big data repositories, cloud, and other enterprise applications. It unifies both structured and unstructured data in real-time to power analytical and operational use cases.

    Attend and Learn:

    -Why logical data warehouse/ data lakes are the bedrock of modern data architecture
    -How you can build a logical data warehouse using data virtualization
    -How to create a single, unified enterprise-wide access and governance point for any data used within the company

    Become a fast data strategy expert in one hour!
  • Separating the Myths from the Truths in Data Visualisation Recorded: Aug 11 2016 45 mins
    Andy Kirk, Data Visualization specialist and Editor, VisualisingData.com
    In this talk Andy Kirk will shine a light on some of the most discussed and debated aspects of data visualisation design. The aim of the talk is to expose some of the myths about data visualisation and reinforce some of the truths in order to offer practitioners, professionals and part-time enthusiasts alike greater clarity about this increasingly popular discipline.

    Viewers will come away with a greater understanding of the rights and the wrongs in data visualisation as well as an awareness of the aspects of this activity that must remain tagged with the elusive notion of ‘it depends’. Along the way Andy will exhibit some of the best examples and techniques from across the field.
  • Why Governed Data Discovery? Recorded: Aug 10 2016 45 mins
    Chris Banks, Senior Director, WebFOCUS
    Everyone loves to visualize data, but sometimes data visualizations are the wrong tools for the job. Learn to avoid common pitfalls and see how to make fast, easy, and accurate data visualizations part of your analytics mix, so everyone can make informed decisions.
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    Brad Peters, Birst Founder and Chief Product Officer, and Raymie Stata, Founder and CEO Altiscale
    Building your Next Generation Data Architecture, a webinar co-hosted by Birst and Altiscale. Featuring Brad Peters, Birst Founder and Chief Product Officer, and Raymie Stata, Founder and CEO Altiscale, you’ll hear examples of how customers have operationalised Hadoop in the enterprise, overcoming major obstacles to make data in Hadoop available to broad sets of users across their companies.

    This webinar reveals:

    · How organisations are transitioning to the next generation data architecture

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    · How to overcome hurdles when operationalising Hadoop in the enterprise

    · Examples of customer reference architectures
  • Using Predictive Analytics to optimize Application operations: Can you dig it? Recorded: Jul 22 2016 23 mins
    Lesley-Anne Wilson, Group Product Rollout & Support Engineer, Digicel Group
    Many studies have been done on the benefits of Predictive Analytics on customer engagement in order to change customer behaviour. However, the side less romanticized is the benefit to IT operations as it is sometimes difficult to turn the focus from direct revenue impacting gain to the more indirect revenue gains that can come from optimization and pro-active issue resolution.

    I will be speaking, from an application operations engineers perspective, on the benefits to the business of using Predictive Analytics to optimize applications.
  • Predictive and Prescriptive Power Discovery from Fast, Wide, Deep Big Data Recorded: Jul 22 2016 45 mins
    Kirk Borne, Principal Data Scientist, Booz Allen Hamilton
    I will summarize the stages of analytics maturity that lead an organization from traditional reporting (descriptive analytics: hindsight), through predictive analytics (foresight), and into prescriptive analytics (insight). The benefits of big data (especially high-variety data) will be demonstrated with simple examples that can be applied to significant use cases.

    The goal of data science in this case is to discover predictive power and prescriptive power from your data collections, in order to achieve optimal decisions and outcomes.
  • Big Data Analytics for Risk Management Recorded: Jul 21 2016 62 mins
    Graham Seel (BankTech Consulting), Shirish Netke (Amberoon), Bob Mark (Black Diamond Risk), Ravi Kalakota (LiquidHub)
    When it comes to tracking the flow of money, it’s no doubt that studying patterns and analytics behind the transactions are important in fighting financial crime.

    Join this session where we'll discuss:

    -The application of machine learning and big data in AML monitoring
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    -Challenges around automation and using predictive analytics to prevent future issues
  • Open APIs and the Future of Banking Recorded: Jul 21 2016 59 mins
    Annine Nordestgaard Bentzen (Hufsy), Jeremy Light (Accenture), Stefan Weiß (Fidor), Jan Sirich (Nordea)
    A successful Application Programming Interface (API) strategy relies heavily on concepts of open infrastructure and open data. The adoption of Open APIs in banking is thus an idea that has been met with excitement and, understandably, concern as well.

    Attend this summit where our experts will discuss:

    -What’s in it for banks/fintechs?
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    -How should we (fintechs and banks) operate until the PSD2 is rolled out?
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    Natalino Busa, Head of Applied Data Science at Teradata
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    The proposed data-pipeline is effective at detecting patterns in the sequences of visited venues and recommend relevant venues to visit next, based on the user, and friends location's history as well as the venue popularity graph. Natalino Busa explains how these predictive analytics tasks can be accomplished by using Spark SQL, Spark ML, and just a few lines of Scala and Python code.
  • How Predictive Analytics is Leading the Effort to Make Data Driven Decisions Recorded: Jul 14 2016 46 mins
    Bruce Kolodziej, Predictive Analytics Sales Manager
    Predictive analytics has gained much attention in recent years, enabling organizations to make better, faster and more accurate business decisions. These decisions are applied across virtually all industries to generate revenue, reduce costs and risks and improve processes. Join us for this session to learn about:

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    - The business value of predictive analytics

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    - Use cases across industries

    - The importance of an integrated platform approach to building and deploying predictive models

    - Operationalizing predicted results via business intelligence applications for end-user consumption
Make smarter moves with your big data management
Make smarter moves with your big data management

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  • Title: Cloud Analytics Consortium presents: Analytics in the Cloud: Ready for Primetime
  • Live at: Dec 6 2012 5:00 pm
  • Presented by: Altaz Bhanji, Dan Ross, Darren Cunningham, Howard Dresner, John Santaferraro, Ralph McMullen, Steve Stone
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