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Innovative Data Strategies for Advanced Analytics Solutions and the role of Data

Data is fueling a new digital economy and compelling companies to rapidly adopt modern technologies such as Machine Learning, AI and Cognitive Science. Consequently, assembling the right blend of data from disparate sources using agile and flexible techniques like logical data warehousing to create purposeful, accessible insights is one of the greatest strategic tasks before us.

To address the challenges associated with advanced analytics solutions, Neudesic uses a best-fit-engineering approach to enable enterprises to utilize the right tools for the right job to maximize their data and analytics strategy. When helping customers construct architectures that surface more data to an ever-growing number of data consumers without the need for data replication, Neudesic looks to Denodo as its tool of choice.

Join Neudesic and Denodo for an interactive webinar to learn how you can apply data virtualization to your advanced analytics strategy for the purpose of achieving growth objectives. You will get to learn:

* Why data virtualization should be part of your advanced analytics strategy.
* How easily your use case will fit one of the numerous architecture patterns Denodo enables.
* How Denodo’s innovative engine offers best of breed data virtualization capabilities, through a product demonstration.
Recorded Oct 18 2018 59 mins
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Presented by
Lorrin Ferdinand, Sr. Consultant, Neudesic
Presentation preview: Innovative Data Strategies for Advanced Analytics Solutions and the role of Data

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    Посетите этот вебинар и узнайте:

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    Filled with insights and audience interaction, this roundtable will provide best practices that you can implement right away!
  • What is the future of data strategy? (APAC) Jun 25 2020 1:30 am UTC 75 mins
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    - Our predictions on how those trends will change the data management world.
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  • Accelerate your Queries with Data Virtualization Jun 18 2020 6:00 pm UTC 60 mins
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    How this new functionality works
    Use cases and scenarios that can take advantage of it
    See it action with a product demo
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  • Advanced Analytics and Machine Learning with Data Virtualization Recorded: Jun 3 2020 74 mins
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  • Data Virtualization-Fulfilling the Digital Transformation Requirement in Banking Recorded: May 28 2020 58 mins
    Paul Moxon, SVP Data Architectures & Chief Evangelist, Denodo
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  • Come abilitare la Self Service Analytics con il Logical DWH Recorded: May 28 2020 74 mins
    Andrea Zinno - Data Evangelist - Denodo, Paolo Crivelli - Technical Sales Director Italy - Denodo

    In tutte le aziende c’è una sempre più forte necessità di ottenere informazioni e indicazioni da dati che continuano a crescere in numero e varietà delle fonti, e in cui la componente non strutturata sarà presto prevalente.

    La maggior parte delle soluzioni più classiche, come i tradizionali Data Warehouse (DW) e i Data Lake hanno una governance più complessa e non garantiscono un accesso agile ai dati. I sistemi di BI devono supportare nuove forme di reporting e di analisi, come l’analitica self-service, le analisi investigative, la data science, gli utenti esterni come clienti online, partner e fornitori, le nuove tecnologie di memorizzazione come Hadoop e NoSQL, le fonti di dati esterne, come i dati sui social media e gli open data, e infine le grandi quantità di dati. Inoltre, è necessario accelerare il time to market per i report.

    La soluzione a questo nuovo scenario, secondo gli analisti, è il data warehouse logico (LDW), che ha dimostrato avere una base più agile per la delivery e la trasformazione dei dati, semplificando il collegamento rapido di nuove sorgenti dati.

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    • Come la tua organizzazione può migrare in modo graduale e con successo verso un'architettura LDW flessibile, senza stravolgere l'attuale sistema di BI
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  • Виртуализация Данных: Введение Recorded: May 26 2020 59 mins
    Алексей Сидоров, Главный Евангелист и Директор по управлению данными, Denodo
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    Посетите этот новый вебинар на русском языке, чтобы узнать:
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  • How data virtualization adds value to your data science stack (APAC) Recorded: May 21 2020 60 mins
    Sushant Kumar, Product Marketing Manager, Denodo and Chris Day, Principal Sales Engineer, Denodo
    Title: How data virtualization adds value to your data science stack (APAC)


    For their machine learning and data science projects to be successful, data scientists need access to all of the enterprise data delivered through their myriad of data models. However, gaining access to all data, integrated into a central repository has been a challenge. Often 80% of the project time is spent on these tasks. But, a virtual layer can help the data scientist speed up some of the most tedious tasks, like data exploration and analysis. At the same time, it also integrates well with the data science ecosystem. There is no need to change tools and learn new languages. The data virtualization platform helps data scientists offload these data integration tasks, allowing them to focus on advanced analytics.

    In this session, you will learn how data virtualization:
    • Provides all of the enterprise data, in real-time, and without replication
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    Quinn Lewis, Consulting Director, Denodo
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    Recent challenges for oil and gas companies have affected the operational strategies around the globe. One attractive option is to actively seek areas of inefficiency that they can invigorate, but often, data cannot be leveraged because it is poorly integrated. This session will address how data virtualization can be brought to bear to aid the industry, and will help attendees:

    •Understand the impacts of current trends on Upstream data architecture
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  • Data Virtualization: An Introduction Recorded: May 19 2020 59 mins
    Paul Moxon, SVP Data Architectures & Chief Evangelist, Denodo
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    Attend this session to learn:
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  • Simplifying Cloud Architectures with Data Virtualization Recorded: May 14 2020 57 mins
    Paul Moxon, SVP Data Architecture & Chief Evangelist, Denodo and Mark Pritchard, Director, EMEA Sales Engineering, Denodo
    Moving applications and data to the Cloud is a priority for many organizations. The benefits - in terms of flexibility, agility, and cost savings - are driving Cloud adoption. However, the journey to the Cloud is not as easy as many people think. The process of moving application and data to the Cloud is challenging and can entail widespread disruption across the organization if not carefully managed. Even when systems are migrated to the Cloud, the resultant hybrid or multi-Cloud architecture is more complex for users to navigate, making it harder for them to get the data that they need to do their jobs.

    Data Virtualization can help organizations at all stages of their journey to the Cloud - during migration and also in the resultant hybrid or multi-Cloud architectures. Attend this webinar to learn how Data Virtualization can:
    • Help organizations manage risk and minimize the disruption caused as systems are moved to the Cloud
    • Provide a single point of access for data that is both on-premise and in the Cloud, making it easier for users to find and access the data that they need
    • Provide a security layer to protect and manage your data when it's distributed across hybrid or multi-Cloud architectures
  • Use of Aggregated Healthcare Data to Enhance and Improve Patient Treatment Recorded: May 14 2020 61 mins
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    Join this session to learn:
    •How to aggregate health data from multiple data sets, across data sources for fast, powerful insights.
    •How to use data and analytics to monitor supply chain and make data-driven decisions for maximum efficiency.
    •How to use analytics tools to monitor patterns in data access to deliver early-warnings of misuse, fraud and improve cyber defence
  • Accelerate Self-Service Analytics with Virtualization and Visualisation (Thai) Recorded: May 12 2020 61 mins
    K. Tammy from Tableau, Alex Hoehl from Denodo. Hosted by K. Narongrit Manomaipiboon, G-Able
    ติดสปีดการวิเคราะห์ข้อมูลด้วยตัวเองแบบรวดเร็วแม่นยำด้วย Data Virtualization และ Data Visualisation

    องค์กรชั้นนำกำลังขยับตัวไปสู่การวิเคราะห์ข้อมูลทางธุรกิจด้วยตัวเอง เพราะผู้ใช้งานต้องการการเข้าถึงข้อมูลแบบทันทีเพื่อเห็นภาพแบบองค์รวมและหลากหลายมิติโดยไม่ต้องคำนึงถึง ตำแหน่งและ แหล่งที่มา หรือชนิดของข้อมูลสำหรับการตัดสินใจครั้งสำคัญ

    Data Virtualization (การทำให้เห็นข้อมูลแบบเสมือนจริง) และ Data Visualisation (การทำให้เห็นข้อมูลเป็นภาพ)ทำงานด้วยกันผ่านชั้นข้อมูลเชิงความหมายที่เป็นรูปแบบสากล Webinar นี้คุณจะได้รู้วิธีว่าเราจะสามารถค้นพบข้อมูลมาวิเคราะห์ด้วยตัวเองอย่างไรและยกระดับประสิทธิภาพการทำรายงานและแดชบอร์ดของคุณได้อย่างไร

    ใน Webinar นี้ คุณจะได้เรียนรู้เรื่อง
    •Data Virtualization ทำให้คุณสามารถวิเคราะห์ข้อมูลได้ด้วยตัวเองได้อย่างไร
    •สรุป Tableau Highlight Features

    ** กรุณาเลือก Time Zone เป็น >> Indonesia - Jakarta **
Achieving Business Agility with Data Virtualization
For IT professionals who are focused on data integration and enterprise data management and are overwhelmed by the growing number of data and data types, data virtualization provides real-time integration with agility to access and integrate disparate sources with ease. For business professionals, Data Virtualization brings agile information access that in turn drives business agility. The webcasts provided in this channel by Denodo, the leader in Data Virtualization, provide the latest in common usage patterns, use cases, best practices and strategies for driving business value with data virtualization.

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  • Title: Innovative Data Strategies for Advanced Analytics Solutions and the role of Data
  • Live at: Oct 18 2018 6:00 pm
  • Presented by: Lorrin Ferdinand, Sr. Consultant, Neudesic
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