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What’s New and Cool inside eDOCS DM10

This webinar will explain the new features that are available in the eDOCS DM10 release and how they provide a superior user experience, productivity improvements, enhanced search functions and ease of administration.
Recorded Feb 4 2015 65 mins
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Presented by
Larry Roy, Senior Director, Product Management OpenText
Presentation preview: What’s New and Cool inside eDOCS DM10

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  • Cloud Customer Architecture for Big Data and Analytics Dec 7 2016 7:00 pm UTC 60 mins
    Heather Kreger, Gopal Indurkhya, Manav Gupta, Christine Ouyang from the Cloud Standards Customer Council
    Using analytics reveals patterns, trends and associations in data that help an organization understand the behavior of the people and systems that drive its operation. Big data technology increases the amount and variety of data that can be processed by analytics, providing a foundation for visualizations and insights that can significantly improve business operations.

    In this webinar, the Cloud Standards Customer Council will discuss how to support big data and analytics capabilities using cloud computing. The speakers will walk through a cloud reference architecture and cover the various considerations and best practices for building big data and analytics solutions in the cloud.
  • From the intelligence driven datacenter to an intelligence driven business Dec 7 2016 2:00 pm UTC 45 mins
    Matt Davies, Head of Marketing EMEA, Splunk, & Sebastian Darrington, EMEA Director, Big Data & Analytics Solutions, Dell EMC
    Leveraging Big Data and Analytics to create actionable insights.

    Splunk & Dell EMC will share insights into the challenges & opportunities customers are seeing in the market – with the ‘needs to’; reduce costs and improve efficiency within IT (operational analytics), improve Compliance (security analytics) & implement Shadow IT due to the business not receiving the right service from IT. CIO Priority is keeping the lights on and so on…

    Dell EMC & Splunk combined strengths are helping numerous organizations to ‘leverage Big Data and Analytics to create actionable insights’.
  • Analytics in the Cloud Dec 7 2016 1:00 pm UTC 45 mins
    Natalino Busa, Head of Applied Data Science at Teradata
    Today, data is everywhere. As more data streams into cloud-based systems, the combination of data and computing resources gives us today the unprecedented opportunity to perform very sophisticated data analysis and to explore advanced machine learning methods such as deep learning.

    Clouds pack very large amount of computing and storage resources, which can be dynamically allocated to create powerful analytical environments. By accessing those analytics clusters of machines, data analysts and data scientists can quickly evaluate more hypotheses and scenarios in parallel and cost-effectively.

    The number of analytical tools which is supported on various clouds is increasing by the day. The list of analytical tools spans from traditional rdms databases as provided by vendors to analytics open sources projects such as Hadoop Hive, Spark, H2O. Next to provisioning tools and solutions on the cloud, managed services for Data Science, Big Data and Analytics are becoming a popular offering of many clouds.

    Analytics in the cloud provides whole new ways for data analysts, data scientists and business developer to interact with each other, share data and experiments and develop relevant insight towards improved business processes and results. In this talk, I will describe a number of data analytics solutions for the cloud and how they can be added to your current cloud and on-premise landscape.
  • Video interview: The modern data lake - Operationalising Big Data for everyone Nov 14 2016 3:00 pm UTC 15 mins
    Richard Neale, EMEA Director, Birst
    Listen to our interview at Big Data LDN with Richard Neale, EMEA Director at Birst.

    Companies have embraced the concept of the data lake or data hub to serve their data storage and data-driven application needs. However, gaps remain in the maturity and capability of the Hadoop stack, leaving organisations struggling with how to reap the benefits of these data lakes and how to create analytic applications that deliver value to end users.

    For data lakes to succeed, organisations need to learn and understand the differences between these big data scenarios:
    1. Data discovery and exploratory analysis
    2. Analytic applications and operationalisation of analytics across the enterprise

    Richard will examine these two scenarios, where and when each one is appropriate, and how to mature from one to the other..
  • Video interview: Solving common mistakes when dealing with advanced analytics Nov 11 2016 3:00 pm UTC 15 mins
    Shawn Rogers, Chief Research Officer, Statistica
    Listen to our interview at Big Data LDN with Shawn Rogers, Chief Research Officer at Dell Statistica.

    Shawn will tackle the often challenging topic of IoT data and give his advice for making the most out of it, as well as the common mistakes people make when dealing with advanced analytics.

    Shawn will also tell us a bit about The Algorithmic Economy and what it means for the data landscape in the next 5 years.
  • Building Enterprise Scale Solutions for Healthcare with Modern Data Architecture Nov 10 2016 7:00 pm UTC 45 mins
    Ramu Kalvakuntla, Sr. Principal, Big Data Practice, Clarity Solution Group
    We all are aware of the challenges enterprises are having with growing data and silo’d data stores. Businesses are not able to make reliable decisions with un-trusted data and on top of that, they don’t have access to all data within and outside their enterprise to stay ahead of the competition and make key decisions for their business.

    This session will take a deep dive into current Healthcare challenges businesses are having today, as well as, how to build a Modern Data Architecture using emerging technologies such as Hadoop, Spark, NoSQL datastores, MPP Data stores and scalable and cost effective cloud solutions such as AWS, Azure and BigStep.
  • Video interview: Use cases for predictive maintenance & the Big Data impact Nov 10 2016 3:00 pm UTC 15 mins
    Wael Elrifai, Director of Enterprise Solutions (Pentaho)
    Listen to our interview at Big Data LDN with Wael Elrifai, Director of Enterprise Solutions at Pentaho.

    Wael will talk through some use cases for predictive maintenance and how Big Data has impacted these models.

    He will also share some tips for people still struggling with Hadoop and will also go over the different ways to embark on an IoT strategy for your organisation.
  • Embrace a Modern Data Architecture and gain competitive advantage! Nov 10 2016 2:00 pm UTC 45 mins
    Adrian Whitehead, Specialist SE, Dell EMC
    The technology landscape is moving at a fast pace and organisations are struggling to keep up and need to think of new ways of processing, analysing and getting value from the vast array of data sources now available.

    Tune in to listen to a conversation between two technology experts who discuss the current challenges experienced in the big data industry and what tools and infrastructure are being deployed including Spark, Hadoop, Splunk etc. to get value from the massive amounts of data flowing around the globe!
  • 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?
  • Exploring the relationship between Data Architecture and Data Governance Nov 9 2016 12:00 pm UTC 60 mins
    Nicola Askham The Data Governance Coach
    It is widely accepted that Data Architecture sits firmly within the IT arena and it is best practice for Data Governance to be a business lead activity, so what have these two data management disciplines got in common?

    Join this webinar to understand the relationship between Data Architecture and Data Governance and the benefits your organisation can expect to achieve when they work closely together.
  • Dashboard Best Practices Oct 25 2016 9:00 am UTC 60 mins
    Carl Edwards, Senior BI Consultant, Yellowfin
    Dashboards are the most important, fundamental, tool for delivering Business Intelligence insights to your users. But, data visualization expert Stephen Few, has declared that most BI dashboards fail. Attend this webinar and learn how to construct best practice dashboards, achieve high ROI and create BI success; not failure.
  • 3 Critical Data Preparation Mistakes and How-to Avoid them Recorded: Oct 20 2016 32 mins
    Mark Vivien, Business Development, Big Data
    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 Recorded: Oct 20 2016 62 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:
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    -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 Recorded: Oct 13 2016 48 mins
    DIna Love,HPE, Akshar Dave, Softnets, Steve Sarsfield, Jeff Healey
    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 Recorded: Oct 13 2016 28 mins
    Lee Baker, CEO, Chi-Squared Innovations
    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 Recorded: Oct 13 2016 20 mins
    Harmeen Birk, Director; Hristiyan Nedkov, Business Analyst, Tableau
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    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 Recorded: Oct 12 2016 43 mins
    Milan Veverka, Partner, Keboola
    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 Recorded: Oct 12 2016 36 mins
    Nick Keen, Data Governance Lead at Environment Agency
    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 Recorded: Oct 12 2016 48 mins
    Maloy Manna, Engineering, AXA Data Innovation Lab
    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 Recorded: Sep 22 2016 58 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?
Make smarter moves with your big data management
Make smarter moves with your big data management

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  • Live at: Feb 4 2015 3:20 pm
  • Presented by: Larry Roy, Senior Director, Product Management OpenText
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