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Analytics Everywhere: The Value of Embedding Business Intelligence into Apps

Embedded analytics closes the last mile between insights and action. It puts charts, reports, databases, and entire self-service analytical environments inside applications that run your business.

Join us on this webcast and learn how embedded analytics can add value to your applications and drive competitive advantage. You will also see real life examples of companies that have successfully embedded solutions like Vertica Big Data Analytics.

What You Will Learn:
• Why you should embed analytics
• Pros and cons of embedding open source versus commercial analytics products
• Evaluation criteria for selecting an embedded product
• Real-life use cases from Vertica customers who have had success embedding analytics
Recorded Nov 2 2017 47 mins
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Presented by
Wayne Eckerson, Founder and Principal Consultant, Eckerson Group and Steve Sarsfield, Director of Product Marketing, Vertica
Presentation preview: Analytics Everywhere: The Value of Embedding Business Intelligence into Apps

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  • Channel
  • Channel profile
  • Building a data analytics platform for telecoms operators – fit for the 5G Era Jun 16 2021 3:00 pm UTC 60 mins
    Justin van der Lande, Analysys Mason, and Jeremiah Morrow, Vertica
    As telecommunications operators roll out 5G services across the globe, data analytics will be a critical component for their success. Delivery of 5G and IoT solutions requires near real-time and predictive insights that leverage massive volumes of data from an increasing number of connected devices to automate operational processes. Join Vertica and Justin van der Lande, Principal Telecoms Analyst for Data, AI and Development Platforms for Analysys Mason, on Wednesday, June 16 at 11AM ET to learn how some of the largest telecoms operators are preparing for the 5G era with analytics. They will also assess some of the decisions operators will face with regards to analytics moving forward. Key topics include: addressing flexibility in using multi-cloud and hybrid environments, designing for interoperability and openness, operationalizing Machine Learning, and unifying disparate data sources for BI/reporting and predictive analytics.
  • Data Disruptors: Build augmented analytics with NLQ &n the power of automation? Jun 3 2021 1:00 am UTC 57 mins
    Saurabh Mishra, Director Data Analytics; Varun Gaur, Director Product Management; Paige Roberts, Vertica
    With Lumenore’s “Ask Me” Natural Language Query (NLQ) feature, you can ask your data questions in your own language and get clear answers, whether in a dashboard, a chart, an email, or the response of your choice. This powerful augmented analytics capability puts a lot of demands on the underlying infrastructure. Come learn what it does, how it works, how it can democratize analytics in your business, and why Lumenore uses Vertica to power this cutting-edge capability.
  • Learn from the experts: The power of Vertica 10.1 and Professional Services Jun 2 2021 12:00 pm UTC 90 mins
    Mark Lyons, Product Management, Vertica and Samir Ouldsaadi, Professional Services Director INLT, MicroFocus
    Vertica 10.1 is available now!

    Highlights of this latest release:

    - Vertica 10.1 demonstrates our continued commitment to broad, powerful in-database machine
    learning by including our most requested algorithm – XGBoost.
    - Management Console makes administering Vertica in the cloud even easier.
    - Support for complex data types in Parquet reaches complete in this version.
    - Eon Mode enhances robustness of support to Google Cloud, and even broader feature sets are
    possible as Vertica goes beyond the 1600 column limit.

    In this Partner Enablement Webinar, we have an excellent speaker, Mark Lyons, Vertica Product Management, who will introduce Vertica 10.1 along with an in-depth view into our roadmap.

    We also have another great speaker joining us, Samir Ouldsaadi, from Vertica PS. Vertica PS are certified experts with vast experience in database management, schema design, and data warehousing principals. They are committed to your success and can help you achieve business results faster, lower your IT development and maintenance costs, and give you a competitive edge in the marketplace. They will work side-by-side with you in design sessions and during the development of key technical components. This allows your team to directly participate in creating the application and vision for your business needs. The Vertica PS team have one objective: to help you achieve your goals and have you become a customer for life.

    Join this webinar to hear the new release Vertica 10.1 and how Vertica PS can complement and help you.
  • Fireside Chat: Vertica and GoodData CEOs Discuss Future of Unified Analytics May 26 2021 5:00 pm UTC 60 mins
    Joy King, Vertica Product & GTM Strategy, Colin Mahony, CEO of Vertica, and Roman Stanek, CEO of GoodData
    The promise of unified analytics is to bring scalable, real-time analytics and machine learning to the data wherever it resides. By combining the broadest set of analytical capabilities — such as geospatial, time series, pattern matching, and end-to-end machine learning — with an intuitive visualization environment, unified analytics opens up a new world of possibilities in addressing all analytical use cases. Join industry visionaries and leaders Colin Mahony, CEO of Vertica, and Roman Stanek, CEO of GoodData, in a fireside chat style webcast as they discuss how the future of unified analytics, delivered as Data as a Service (DaaS), can fulfill every organization’s dream of becoming truly data-driven.
  • Adform Tackles the Big Data Challenges of Omnichannel Advertising May 25 2021 12:00 pm UTC 60 mins
    Dr. Jochen Schlosser, Chief Strategy Officer, Adform | Fouad Teban, Head of Customer Engineering, Vertica
    Achieving the right balance of Human and Artificial Intelligence, fuelled by Vertica Big Data Analytics Platform

    By 2025, 463 exabytes will be created every 24 hours worldwide. That means a world of opportunity for advertisers to train algorithms against massive data sets, and use machine learning to find their most lucrative opportunities.

    Join Dr. Jochen Schlosser, Chief Strategy Officer, Adform to discover how the right balance of Human and Artificial Intelligence – fuelled by a powerful Unified Analytics Warehouse – enables advertisers to serve prospects and customers with tailored offerings. It provides these offers through the appropriate channels, timed to when they are more likely to convert. This combination of Human and Artificial Intelligence helps companies maximize their advertising ROI in an omnichannel world with 3 pillars: Scalability, Relevance and Efficiency.
  • Retain your customers and boost your profits with AutoML at scale Recorded: May 11 2021 61 mins
    Maciej Paliwoda, Solution Architect @ Vertica & Lena Rampula, Data Science Engineer @ H2O.ai
    How H2O.ai & Vertica shorten the end-to-end AI pipeline and improve the accuracy of Machine Learning models to help you retain your customers and increase profits?

    According to various studies, the cost of customer acquisition is 5 to 7 time higher than retention. In addition, the average basket size of a loyal customer (€52.50) is twice the size of a new customer basket according to a McKinsey & Company study.

    Join our webinar presentation and demo to learn how AutoML at scale using H2O.ai & Vertica enables you to retain your customers and increase profits with Auto-ML to dynamically act on the right customer, at the right time through the right channel.

    Vertica enables easy and fast access to the right historical & live data as the event occurs while H2O.ai facilitates the Auto-ML models to create accurate predictions. With the seamless integration back to Vertica, the AI models are deployed at scale for immediate business outcome so data science projects don’t remain in the “black box”.

    Background information:
    H2O.ai, a Silicon Valley founded business, ranked by Gartner as a visionary company, automates machine learning, bringing AI within reach of every company and business users.
    Vertica is the Unified Analytics Warehouse designed for big data that allows you to run your queries and analytics without any compromise in terms of high-concurrency, speed and scalability, and is infrastructure-agnostic.

    Both world-class technologies have enabled thousands of customers in various industries (telecommunications, retail, banking, insurance, health care, pharma, etc.) to accelerate their AI transformations, shortening the end-to-end analytics pipeline and drastically improving the accuracy of predictive models.

    Please note that by registering for this event, our partner and co-host of this webinar H2O.ai may contact you with information about webinars and other news, products, or services that may be of interest to you.
  • DataOps enhances data engineering for data science at Moneysupermarket.com Recorded: Apr 29 2021 45 mins
    Dave Poole, Data Solutions Architect, Moneysupermarket Group & Paige Roberts, Open Source Relations Manager, Vertica
    Data Operations is a methodology combining technological and cultural changes to improve data usage through better collaboration and automation. At Moneysupermarket.com, the DataOps approach is critical to meet the expectations of the business. Several important Vertica features facilitate the adoption of the DataOps culture and simplify the data engineer’s journey. DataOps with Vertica gets new data to data scientists promptly, so they can deliver maximum value to their organisation.
    Join our webinar to discover why Moneysupermarket.com adopted a DataOps approach!
  • Retain your customers and boost your profits with AutoML at scale Recorded: Apr 28 2021 62 mins
    Maciej Paliwoda, Solution Architect @ Vertica & Lena Rampula, Data Science Engineer @ H2O.ai
    How H2O.ai & Vertica shorten the end-to-end AI pipeline and improve the accuracy of Machine Learning models to help you retain your customers and increase profits?

    According to various studies, the cost of customer acquisition is 5 to 7 time higher than retention. In addition, the average basket size of a loyal customer (€52.50) is twice the size of a new customer basket according to a McKinsey & Company study.

    Join our webinar presentation and demo to learn how AutoML at scale using H2O.ai & Vertica enables you to retain your customers and increase profits with Auto-ML to dynamically act on the right customer, at the right time through the right channel.

    Vertica enables easy and fast access to the right historical & live data as the event occurs while H2O.ai facilitates the Auto-ML models to create accurate predictions. With the seamless integration back to Vertica, the AI models are deployed at scale for immediate business outcome so data science projects don’t remain in the “black box”.

    Background information:
    H2O.ai, a Silicon Valley founded business, ranked by Gartner as a visionary company, automates machine learning, bringing AI within reach of every company and business users.
    Vertica is the Unified Analytics Warehouse designed for big data that allows you to run your queries and analytics without any compromise in terms of high-concurrency, speed and scalability, and is infrastructure-agnostic.

    Both world-class technologies have enabled thousands of customers in various industries (telecommunications, retail, banking, insurance, health care, pharma, etc.) to accelerate their AI transformations, shortening the end-to-end analytics pipeline and drastically improving the accuracy of predictive models.

    Please note that by registering for this event, our partner and co-host of this webinar H2O.ai may contact you with information about webinars and other news, products, or services that may be of interest to you.
  • APAC Catch Media & Cloud Repatriation–Why Move Analytics Workloads OFF the Cloud Recorded: Apr 22 2021 62 mins
    Boaz Ben-Yaacov, CTO, Catch Media, and Paige Roberts, Open Source Relations Manager, Vertica
    There’s a concept that all analytics workloads, or any other workload for that matter, are headed to the cloud. If your workload isn’t in the cloud yet, it will be soon. Contrary to this widely held belief, some analytic workloads are going in the opposite direction. A recent IDC survey showed that many CIOs are pulling their workloads back out of the cloud to on-premises, and dubbed it “Cloud Repatriation.” With Vertica, Catch Media has no problem working either on-prem or on the cloud, but there are some key reasons they’re pulling workloads back from the Cloud. In this webinar from our Data Disruptor series, come learn why Catch Media is swimming upstream:
    1. How the easy templates in the cloud can be a Pandora’s [black] Box
    2. Difference in cost and its predictability
    3. DevOps teams need to maintain control for troubleshooting and optimization, cloud or not, but on-prem may be easier
    4. Server utilization, and many more …
  • Going Predictive with your Data Warehouse Recorded: Apr 1 2021 59 mins
    Mike Walker, Benchmark Corp, Steve Sarsfield, Vertica, Scott Saktanaset, Vertica
    A data warehouse is traditionally used to manage data and report on past trends. Today, much more is possible, as modern data warehouse capabilities shift toward machine learning and other advanced analytics.
    Join this webcast to:
    - Learn about the methods and technologies to expand traditional descriptive analytics with predictive analytics
    - Enable predictive in your BI and reporting tools, expanding opportunities for business analysts
    - Offer data scientist access to the rich data sets often locked away in the data warehouse

    In this session, we will show how data warehouse technologies can be used as a repository for your machine learning models so you can train, manage, and deploy these models on your enterprise data whether on-premises or in the cloud. You will see how to train AI models on large data sets, supporting data scientists with their preferred languages like Python and R.
  • Dell and Vertica: Leveraging Cloud Technologies for On-premises Analytics Recorded: Mar 31 2021 50 mins
    Thomas Henson, Dell Technologies, and Amit Saha, Vertica
    In this webinar from our Under The Hood series, Thomas Henson, Global Business Development for AI/Analytics at Dell Technologies, and Amit Saha, Principal Product Manager for Big Data Analytics and Cloud for Vertica, share how on-premises object stores like Dell ECS can provide a durable data repository for Vertica in Eon Mode. The combined solution gives customers a cost-optimized on-premises architecture for modern analytic workloads at massive scale and speed.
  • DataOps enhances data engineering for data science at Moneysupermarket.com Recorded: Mar 25 2021 45 mins
    Dave Poole, Data Solutions Architect, Moneysupermarket Group & Paige Roberts, Open Source Relations Manager, Vertica
    Data Operations is a methodology combining technological and cultural changes to improve data usage through better collaboration and automation. At Moneysupermarket.com, the DataOps approach is critical to meet the expectations of the business. Several important Vertica features facilitate the adoption of the DataOps culture and simplify the data engineer’s journey. DataOps with Vertica gets new data to data scientists promptly, so they can deliver maximum value to their organisation.
    Join our webinar to discover why Moneysupermarket.com adopted a DataOps approach!
  • Risk Decision-Making: Intellicta & Vertica Inform Smart Decisions Recorded: Mar 16 2021 52 mins
    Sushil Madhukar, TechDemocracy, and Paige Roberts, Vertica
    Informed risk decision-making is a big challenge for CISOs and Cyber Security leadership, especially as the scale and speed of data needed to inform those decisions explodes. Enabling effective Risk decisions quickly is a priority for more than 2/3rd of security leadership across the enterprise, especially with the pandemic. But, risk decisions are not made just by IT anymore. More than 1/3rd of the decisions are either made or influenced outside the IT department. To help security leadership, and everyone else, make effective decisions faster, a high-scale data-driven approach is needed.

    Intellicta – an integrated risk platform – and Vertica – a unified analytics warehouse – partnered to measure and visualize the complete risk exposure profile across the enterprise in a single view in near real time for C-Suite executives. Vertica’s high-performance analytics and machine learning at extreme scale supports Intellicta to bridge the visibility gaps across organizational compliance, security, risk, and governance postures. In this webinar from our Data Disruptor series, learn how this clear comprehensive view of data across the enterprise was achieved, what factors drive good risk decisions, and how data analysis can make those clear to decision-makers.
  • Thought Leadership Series: Modernize Data Warehousing – Beyond Performance Recorded: Mar 16 2021 62 mins
    William McKnight, President, McKnight Consulting Group & Paige Roberts, Open Source Relations Manager, Vertica
    Configuration, management, tuning and other tasks can take away from valuable time spent on business analytics. If a platform leads to coding workarounds, non-intuitive implementations and other problems, it can make a big impact on long-term resource usage and cost. A lot of enterprise analytics platform evaluations focus on query price-performance to the exclusion of other features that can have a huge impact on business value, and can cause major headaches if you don’t take them into consideration.

    In this webinar, we’ll go beyond price-performance, and focus on everything else needed to modernize your data warehouse.
  • BNP Paribas accélère l’adoption du « data-driven marketing » Recorded: Mar 11 2021 38 mins
    Walid Hanachi, BNP Paribas; Steven Balzan, Mydral; Francois Guerin, Vertica
    Le « data-driven marketing » ou marketing piloté par les données s’appuie sur le croisement d’informations (data) internes, externes, historiques et dynamiques permettant aux acteurs du marketing de mieux piloter leurs campagnes.
    Une approche maîtrisée permet d’accroître les performances et la satisfaction client tout en rationalisant les coûts. Un alignement des équipes, des processus et le choix des bon outils sont les piliers d’une stratégie réussie.

    Rejoignez Walid Hanachi, head of analytics acceleration chez BNP Paribas à l’occasion de ce webinar afin de découvrir :

    • Le contexte BNP Paribas Personal Finance avant accélération du « data-driven marketing »
    • Pourquoi la combinaison Vertica / Dataviz permet d’accéder aux bonnes données, au bon moment dans un format attractif pour rendre les équipes marketing plus agile
    • Les détails du déploiement et l’organisation de la plateforme data
    • Les usages de la data appliqués au marketing
    • Les perspectives d’évolution autour de la data
  • Retain your customers and boost your profits with AutoML at scale Recorded: Feb 23 2021 62 mins
    Maciej Paliwoda, Solution Architect @ Vertica & Lena Rampula, Data Science Engineer @ H2O.ai
    How H2O.ai & Vertica shorten the end-to-end AI pipeline and improve the accuracy of Machine Learning models to help you retain your customers and increase profits?

    According to various studies, the cost of customer acquisition is 5 to 7 time higher than retention. In addition, the average basket size of a loyal customer (€52.50) is twice the size of a new customer basket according to a McKinsey & Company study.

    Join our webinar presentation and demo to learn how AutoML at scale using H2O.ai & Vertica enables you to retain your customers and increase profits with Auto-ML to dynamically act on the right customer, at the right time through the right channel.

    Vertica enables easy and fast access to the right historical & live data as the event occurs while H2O.ai facilitates the Auto-ML models to create accurate predictions. With the seamless integration back to Vertica, the AI models are deployed at scale for immediate business outcome so data science projects don’t remain in the “black box”.

    Background information:
    H2O.ai, a Silicon Valley founded business, ranked by Gartner as a visionary company, automates machine learning, bringing AI within reach of every company and business users.
    Vertica is the Unified Analytics Warehouse designed for big data that allows you to run your queries and analytics without any compromise in terms of high-concurrency, speed and scalability, and is infrastructure-agnostic.

    Both world-class technologies have enabled thousands of customers in various industries (telecommunications, retail, banking, insurance, health care, pharma, etc.) to accelerate their AI transformations, shortening the end-to-end analytics pipeline and drastically improving the accuracy of predictive models.

    Please note that by registering for this event, our partner and co-host of this webinar H2O.ai may contact you with information about webinars and other news, products, or services that may be of interest to you.
  • Thought Leadership Webcast: Probing the Concept of Cloud-Native Databases Recorded: Feb 18 2021 50 mins
    Steve Sarsfield and Jeff Healey, Vertica
    Today, there’s a lot of buzz about cloud-native databases and how essential their capabilities are when moving data analytics workloads to the cloud. On-premises-only databases are rare, while cloud-only databases are common. What does “cloud-native” actually mean? Does it simply mean “cloud-only?” What’s the real difference, and is it important?
    In your planning to move analytical workloads to the cloud, are there specific reasons to prefer a database that can exist both on clouds and on-premises? Or, are there specific reasons to prefer a database built only for the cloud?

    In this webinar from our Thought Leadership Series, we’ll deconstruct the propaganda around cloud-native databases and discuss their place in your design of analytical systems.
    We’ll discuss:
    • Deployment – when you need simplified deployment or choosing optimal clusters for your specific workloads
    • Compute and Storage Separation – the practical advantages, when it makes sense, and where it can be deployed
    • Autoscaling – Advantages, disadvantages and alternatives
    • Ease of Admin – what the trade-off is for easy administration, how that can be balanced
    • Analytics – the depth of analytics offered on cloud platforms, and exploring options to get the analytic depth you need including machine learning
    • Data Governance – circumstances where business users control costs, handle compliance and data replication versus IT management of those costs

    Attend this webinar to learn how to deal with concerns like GDPR and other privacy regulations, vendor lock-in, pricing predictability, and more in your analytical database design.
  • Thought Leadership Series: Modernize Data Warehousing – Beyond Performance Recorded: Jan 28 2021 63 mins
    William McKnight, President, McKnight Consulting Group & Paige Roberts, Open Source Relations Manager, Vertica
    Configuration, management, tuning and other tasks can take away from valuable time spent on business analytics. If a platform leads to coding workarounds, non-intuitive implementations and other problems, it can make a big impact on long-term resource usage and cost. A lot of enterprise analytics platform evaluations focus on query price-performance to the exclusion of other features that can have a huge impact on business value, and can cause major headaches if you don’t take them into consideration.

    In this webinar, we’ll go beyond price-performance, and focus on everything else needed to modernize your data warehouse.
  • How to Increase Insight with Unified Analytics Recorded: Jan 26 2021 59 mins
    John Santaferraro, Research Director EMA and Rohit Amarnath, CTO and Founder Full360
    Everyone is tired of managing a separate data lake and data warehouse. Modern technology makes it simple to unify your analytics program on a single platform in the cloud. The ability to handle multi-structured data, multi-latency feeds, and multi-use analytics streamlines the delivery of analytics. The result is superior insight based on quicker decisions, global accessibility, and immediate responses to real-time events.
  • How Vertica & Scality deliver cloud analytics on-premises at massive scale Recorded: Jan 12 2021 50 mins
    Maziar Tamadon, Scality, and Amit Saha, Vertica
    Under the Hood: Companies are moving analytic workloads to the cloud for operational flexibility and efficiency. Yet the risk, cost, and complexity of moving very large data volumes to the cloud is high, and analytics leaders are often forced to weigh their need for cloud innovation with the myriad challenges associated with cloud migration.

    Join Maziar Tamadon, Director of Product and Solution Marketing at Scality, and Amit Saha, Principal Product Manager for Big Data Analytics & Cloud for Vertica, to share how Vertica in Eon Mode for Scality RING S3 object storage on HPE Apollo 4000 platform gives customers a cost-optimized on-premises architecture for modern analytic workloads at massive scale and speed. The joint solution combines the power of Vertica’s analytic capabilities with the elasticity of Scality S3 object storage so customers can deliver advanced and predictive analytic outcomes based on the entirety of their data.
Data Analytics without Limits
The Vertica Analytics Platform is built to handle the most demanding analytic use cases and is trusted by thousands of leading data-driven enterprises around the world, including Etsy, Bank of America, Intuit, Uber and more. Vertica delivers speed, scale and reliability on mission-critical analytics at a lower total cost of ownership than legacy systems. All based on the same powerful, unified architecture, the Vertica Analytics Platform provides you with the broadest range of deployment models, so that you have complete choice as your analytical needs evolve. Deploy Vertica on-premise, in the clouds (AWS, Azure and GCP), on Apache Hadoop, or as a hybrid model. Find more information on Vertica at www.vertica.com.

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  • Title: Analytics Everywhere: The Value of Embedding Business Intelligence into Apps
  • Live at: Nov 2 2017 5:00 pm
  • Presented by: Wayne Eckerson, Founder and Principal Consultant, Eckerson Group and Steve Sarsfield, Director of Product Marketing, Vertica
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