Retail Analytics: Get More Value from Legacy Systems with a Modernized Approach
Recently Tesco went out in an Essential Retail article and defended legacy systems. “If you don’t have legacy, you are probably not in business”, said their CDO, Thomas Nielsen. So what would Vertica have to offer Retail if legacy is that good?
In this webinar we’ll look at some of the strategic areas that are transforming retail, its operations, and its interaction with the ones who call the shots – the customers. The best use of Vertica in a retailer might not necessarily be to deploy it as a replacement for any of its siloed legacy systems, but rather to provide a means to explore, analyze and visualize insights derived from several of these legacy systems.
This is exactly what Zoined, a Vertica OEM partner, does in its analytics offering. Zoined Retail & Hospitality Analytics is a cloud based SaaS product, which out of the box contains 90-95% of the metrics and KPIs used by retailers and hospitality operators to track and monitor their businesses, giving them support for smarter decisions and actions in key areas such as assortment, cross-sell and staff performance optimization, all in real time.
Styrbjörn Torbacke, the MD of Zoined will describe how Vertica allows them to combine, correlate and present operational insights in real time to relevant staff in a retail environment.
RecordedOct 11 201748 mins
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In today’s competitive content services space (including music, OTT, eBooks and other licensed content), traditional telcos, content owners and content distributors must compete with the likes of Netflix, Amazon, Facebook and other new economy companies to attract and retain customers. Join our latest Data Disruptors webcast to hear how Catch Media is helping traditional players drive revenue and gain deep customer insights so they can compete in the new world of cord-cutting and over the top and digital content technologies.
Yaacov Ben-Yaacov, CEO of Catch Media, will show how his company enables content owners and distributors to achieve 50%+ increase in engagement through the segmentation of end consumers into distinct audiences that can be targeted in near real-time with messaging and recommendations personalized to their content consumption behavior.
On this webcast you’ll learn:
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• 4 steps needed to engage consumers, drive lifetime value and increase revenue
• Why Catch Media chose Vertica for scale, performance, and flexibility
• How businesses that embed Vertica can deliver higher value to customers
Jaimin Dave and Styliani Pantela, Vertica Engineering
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Erich Hochmuth, Big Data Architect, The Climate Corporation and Ben Smith, Senior Product Marketing Manager, Vertica
The Climate Corporation aims to help the world's farmers sustainably increase their productivity with digital tools. The integrated Climate FieldView™ digital agriculture platform provides farmers with one comprehensive, connected suite of digital tools to help them optimize resources and maximize yield. Building the digital tools to support this mission requires processing and analyzing petabytes of diverse datasets. Everything from satellite imagery and weather data, to sensor data from on-farm equipment and clickstream data must be ingested and made available for analytics.
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• 100% automation
• Minimal maintenance overhead
• A highly available redundant deployment in the cloud
Tom Wall, Sanjay Baronia and Carole Patrice Murphy, Micro Focus
Can you protect personal data in analytical databases, while increasing data access, and enabling compliance with GDPR and other data privacy regulations?
In this session, you will learn how Voltage SecureData for Vertica, a data-centric security offering that puts the control on the analytics data using format preserving encryption, enables trusted big data to move between untrusted environments. As a result, this combined solution allows data protection to persist as the data moves from storage to in-flight to in-use within applications without requiring changes to downstream applications.
Brendan Stennett, Co-Founder & CTO, ThinkData Works
Join the latest webcast in our Data Disruptors Series to see how Namara - a data management platform - uses collaboration and role management as fundamental pillars to give businesses greater visibility over structured data across multiple data silos, as well as access to the wider world of public open data.
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• Uses a proprietary data ingestion pipeline to make on-boarding data in a variety of formats a fast and painless experience
• Leverages a unique data query engine to make integrating data into apps easy and flexible
• Delivers world class query performance, powered by Vertica
We live in an increasingly connected world – from cloud software and data center hardware to medical devices, industrial machines, and consumer wearables. Whatever can be connected, will be connected. Why? Because vendors (manufacturers) seek to tap the telemetry data from these connected products to improve their customer experience.
Building a big data platform from scratch to capture this opportunity is difficult, since most of the data is unstructured and requires specialized domain knowledge and engineering skills to leverage. Join four-time Vertica customer, Larry Lancaster, on our latest Data Disruptors webcast as he explains how:
• His latest venture, Zebrium, uses Machine Learning to structure product telemetry into a relational system of record to ingest data in-line, at wire speed
• The Zebrium cloud service platform delivers specialized tools to improve the customer support experience
• Vertica has enabled each of his former companies – Glassbeam, Data Domain, and Nimble Storage – to become data disruptors in their respective domains
William McKnight, President, McKnight Consulting Group and Sanjay Baronia, Lead Product Marketing Manager, Vertica
Two distinct trends are converging. The cloud is proving immensely useful in providing elastic, measurable, on-demand and self-service resources to organizations of all sizes. The uptake in 2018 has been phenomenal, continuing the biggest transformation that technology professionals will experience in their careers. Also, all organizations are relying even more than before on analytical databases to load, store, and analyze volumes of data at high speed to derive timely insights.
An independent benchmark study was conducted to assess query performance, concurrency impact and cost-effectiveness of Vertica and Snowflake running in the AWS Cloud. The benchmark (expanding upon UC Berkeley’s Big Data Benchmark) simulated scenarios to answer fundamental business questions that every enterprise might encounter and ask.
In this webinar, we will discuss the very interesting, need-to-know results and key takeaways of the benchmark. We will also discuss how to achieve high-performance and scalable analytics in the cloud and augment current, on-premises platforms in a cost-effective manner, continuing your journey to being data-driven.
Badr Ouali, Vertica Data Scientist and Steve Sarsfield, Director of Product Marketing, Micro Focus
Python is a powerful programming language that is a good choice for many types of analytics. It is rapidly becoming the language of choice for scientists and researchers of many types. Now by combining a massively parallel (MPP) database like Vertica with Python, you can overcome many scale and analytics challenges that sometimes challenge Python users. Python users can achieve a simplified path to do as follows:
• Analyze more data at greater speeds
• Breeze through data preparation with the database’s SQL capabilities
• Quickly make the most of advanced database analytics like time-series and geospatial
• Benefit from in-database machine learning for predictive analytics
• Leverage data as it sits in-place on the cloud or Hadoop without having to move it
Join this webinar to understand how to expand and enhance your Python analytics with Vertica. Vertica’s built in integration with Python allows for more data and deeper analytics. As a very efficient database for massive amounts of data, Vertica’s optimizations and advanced analytics can help you achieve new heights as a Python programmer.
Medha Bhadkamkar, Senior Manager of Data Science and Services for InfoSight, Hewlett Packard Enterprise
Join the latest webcast in our Data Disruptors Series to hear how Nimble Storage leverages flash storage and predictive analytics to deliver advanced customer insights and 99.9999% availability. The company’s InfoSight customer platform eliminates headaches and wasted time by transforming how storage is managed and supported, analyzing millions of sensors every second to prevent problems.
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Jeff Healey, Tim Donar and Jawahar Annaldasula, Vertica
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Rob Winters, Head of Data Science, TravelBird and Steve Sarsfield, Director of Product Marketing, Vertica
TravelBird, a Dutch based online travel platform that offers daily holiday deals over Europe, will share their best practices to leverage real-time analytics and automation to deliver 100% personalized deals for customers, increase deal conversion and optimize offer content and pricing.
TravelBird runs an integrated business intelligence and advanced predictive analytics architecture by leveraging Vertica along with tools such as Tableau, Spark and Python over a full cloud infrastructure.
Join this session where Rob Winters will discuss:
• How to leverage real-to opportunities for predictive analytics to improve online customer experience
• The architecture principles to deliver “real-time” for advanced big data
• TravelBird technology stack and the integration of Vertica, Spark, Tableau and Python
• The deployment Vertica over Amazon AWS cloud infrastructure
• Lesson learned and benefits of Vertica
Rob has a unique record of accomplishment in BI, Analytics and Data Science for industries like travel, gaming and retail commerce with roles in major online companies such as Spil Games and De Bijenkorf.
Vertica’s in-database machine learning supports the entire predictive analytics process with massively parallel processing and a familiar SQL interface. Vertica has the only native, in-database, distributed machine learning library on the market today; complete with easy-to-use features for blazing fast ingestion, complex data preparation, the fastest distributed model building available, thorough model evaluation, detailed model management, simple model deployment, and advanced integration with popular machine learning and visualization tools.
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• Vertica in-database machine learning uses massively parallel processing and a familiar SQL interface to accelerate time-to-value on predictive analytics projects
• Ecobee’s Vertica implementation and broader analytics stack allows them to answer analytics and data science questions faster
• Ecobee is using smart thermostats and data analytics to unlock new innovations around demand response management, time of use optimization and energy storage
Satish Sathiyavageswaran, Tim Donar and Jawahar Annaldasula, Vertica team
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William McKnight, President, McKnight Consulting Group Global Services
In today’s data driven world, where effective decisions are based on a company’s ability to access information in seconds or minutes rather than hours or days, selecting the right analytical database platform is critical.
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Wondering where to start with Vertica? Want to see it in action? Join us for this 30 minute live demo to hear more about the basics of software installation, best practices, and cluster deployment. You will learn about the Vertica Management Console used to deploy Vertica nodes and monitor and manage a database cluster through any web browser. Bring your questions!
Francesco Gianferrari Pini, Founder, Quantyca Italy and Carlo Arioli, EMEA Marketing Manager, Micro Focus
Join us for this Webinar to see a live demo – powered by the Vertica 9 Advanced Analytics Platform – that combines in-database geospatial functions with Machine Learning algorithms to increase the efficacy of business analytics for Retail and B2B Marketing.
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Are you making the most of streaming data, providing timely value to your business, and keeping ahead of the competition?
Join us for this next session of “Under the Hood” of Vertica as we take a deep dive into Vertica’s integration with Apache Kafka, Hadoop, and other open source solutions to ease data integration challenges and enable continuous, real-time processing and transformation of data streams.
Learn how Vertica works with Kafka to stream data into and out of Vertica for actionable insight.
Vertica is the fastest, most advanced SQL analytics database, available on-premise, on Hadoop, and multiple clouds – all delivered via one unified platform. With tight integration with Hadoop, Kafka, and Spark, and built-in advanced analytics and Machine Learning, Vertica delivers the highest performance at extreme scale. Vertica. Built for fast. Built for freedom. Find more information on Vertica at www.vertica.com.
Retail Analytics: Get More Value from Legacy Systems with a Modernized ApproachStyrbjörn Torbacke, Managing Director, Zoined and Dana Gardner, Principal Analyst, Interarbor Solutions[[ webcastStartDate * 1000 | amDateFormat: 'MMM D YYYY h:mm a' ]]48 mins