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Big Data Management

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  • 3 Critical Data Preparation Mistakes and How-to Avoid them 3 Critical Data Preparation Mistakes and How-to Avoid them Mark Vivien, Business Development, Big Data Recorded: Oct 20 2016 32 mins
    Whether you're just starting out or a seasoned solution architect, developer, or data scientist, there are most likely key mistakes that you've probably made in the past, may be making now, or will most likely make in the future. In fact, these same mistakes are most likely impacting your company's overall success with their analytics program.

    Join us for our upcoming webinar, 3 Critical Data Preparation Mistakes and How to avoid them, as we discuss 3 of the most critical, fundamental pitfalls and more!

    • Importance of early and effective business partner engagement
    • Importance of business context to governance
    • Importance of change and learning to your development methodology
  • Coding the Future of FinTech with Smart APIs and Financial Data Coding the Future of FinTech with Smart APIs and Financial Data Lars Markull (Figo), Bharat Bhushan (IBM), Giles Sutherland (Carta Worldwide), Stephane Dubois (Xignite) Recorded: Oct 20 2016 62 mins
    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?
  • What's New and Innovative with HPE Vertica What's New and Innovative with HPE Vertica DIna Love,HPE, Akshar Dave, Softnets, Steve Sarsfield, Jeff Healey Recorded: Oct 13 2016 48 mins
    One of the biggest issues facing organizations today is extracting intelligence from data residing in multiple silos across the datacenter. HPE Vertica 8 provides organizations with a unique, analyze-in-place, unified architecture that enables businesses to continually gain intelligence from their information, wherever it lives. HPE Vertica 8 also includes core data movement and orchestration enhancements, resulting in up to 700 percent faster data loading for hundreds of thousands of columns, simplified data loading from Amazon S3, and comprehensive visual monitoring of Apache Kafka data streams. With this webinar we will have key individuals from HPE Vertica team to deep-dive into the latest innovations included as part of HPE Vertica 8 release.
  • Practical Data Cleaning Practical Data Cleaning Lee Baker, CEO, Chi-Squared Innovations Recorded: Oct 13 2016 28 mins
    The basics of data cleaning are remarkably simple, yet few take the time to get organized from the start.

    If you want to get the most out of your data, you're going to need to treat it with respect, and by getting prepared and following a few simple rules your data cleaning processes can be simple, fast and effective.

    The Practical Data Cleaning webinar is a thorough introduction to the basics of data cleaning and takes you through:

    • Data Collection
    • Data Cleaning
    • Data Classification
    • Data Integrity
    • Working Smarter, Not Harder
  • Driving change across Lloyds Bank through collaborative dashboards Driving change across Lloyds Bank through collaborative dashboards Harmeen Birk, Director; Hristiyan Nedkov, Business Analyst, Tableau Recorded: Oct 13 2016 20 mins
    The world of commercial banking moves swiftly. B2B clients have complex needs and offer great opportunity for banks who can move fast, resolve queries quickly and provide a premium service. If relationship managers aren’t anticipating and responding to their client’s every need then business can easily be taken elsewhere. However, with hundreds of clients to manage at once, it is often impossible to keep them all happy.

    For one of the largest commercial banks in the UK, Tableau provided the perfect solution to create client dashboards to help relationship managers, product partners, and service and operational staff to all easily access and take action on client feedback, review product opportunities and keep up to date with client industry news.
  • Big Bang Data: Best Practices in proper data profiling, modelling & transforming Big Bang Data: Best Practices in proper data profiling, modelling & transforming Milan Veverka, Partner, Keboola Recorded: Oct 12 2016 43 mins
    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 profiling, modeling, transformations and normalization for all data sets.
  • How Better Data Helps Create Better Places for People and Wildlife How Better Data Helps Create Better Places for People and Wildlife Nick Keen, Data Governance Lead at Environment Agency Recorded: Oct 12 2016 36 mins
    The Environment Agency works to create better places for people and wildlife, and support sustainable development within England. We’re responsible for:
    · regulating major industry and waste
    · treatment of contaminated land
    · water quality and resources
    · fisheries
    · inland river, estuary and harbour navigations
    · conservation and ecology
    · managing the risk of flooding from main rivers, reservoirs, estuaries and the sea.

    Good Data governance is especially important for the Environment Agency and we have millions of people depending on our data and information. The talk will show how
    we undertake data governance and measure our performance; and how this supports our transition to an Open Data organisation
  • Pre-Processing Big Data: Techniques to improve quality of big data analysis Pre-Processing Big Data: Techniques to improve quality of big data analysis Maloy Manna, Engineering, AXA Data Innovation Lab Recorded: Oct 12 2016 48 mins
    Data in the real-world is almost always dirty, incomplete, scattered or inconsistent. For data scientists, 'janitor work' is a key hurdle to data insights.

    Whether you use big data for analytics or data science, with increasing variety and velocity of big data, the data pre-processing step can be the most time-consuming step in your data pipeline.

    Featuring engineering concepts and practical examples in Python and R, this webinar will focus on technical considerations and data engineering techniques to optimise data preparation to get the most value from your big data pipeline.
  • 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

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