Get powerful marketing data and analytics insights from influential experts. Connect with thought leaders and colleagues to get the most up-to-date knowledge on the analytics that quantify your investments.
Julian Llorente, Director of Product, Privacy, Tealium & Jake Spencer, Product Marketing Manager, TealiumRecorded: Jan 28 202045 mins
The CCPA is much more than an opt-out button, but that little button holds the key to your ability to collect and use data about your customers. As a critical part of the customer experience — and a determining factor in whether you’ll be able to turn that customer experience into usable customer data and profiles — the consent request will be a critical part of your funnel optimization.
Join to learn how brands should be thinking about consent management in the changing data privacy landscape and review a checklist for brands looking to optimize their CCPA opt-out.
You’ll also learn:
- How CCPA opt-ins to "Do Not Sell My Data" will affect the working experience of your marketing and data teams
- Why you should think of consent as the first part of your funnel
- 5 things you should be doing to optimize your opt-out
- The ROI of building consent directly into your data collection capabilities
Mike Failor, Sr. Director of Risk Analytics, Enova International; Jay Johns, Global Partner Channel Manager, iovationRecorded: Jan 24 202025 mins
The telecommunications and communications industry is evolving fast, leaving service providers susceptible to new fraud schemes. While new technologies such as machine learning and crowd-sourced intelligence is available, service providers face the challenge of creating fraud fighting techniques that do not deteriorate customer experience.
In this webinar, Enova Decisions and iovation leadership will cover fraud solutions for telecommunications and communications that balance the competing demands of catching fraud, authenticating good customers, and providing an outstanding customer experience.
Topics that will be covered include:
-Current trends in the rapidly changing fraud environment
-Preventing fraud throughout the consumer’s journey…not just at the purchase moment
-How to best leverage 1st and 3rd party data to significantly improve fraud detection
-Protection of your consumers’ personal information (PII) while optimizing fraud detection
-The impact businesses have seen by implementing device intelligence
Paul Brebner, Technical Evangelist, InstaclustrRecorded: Jan 23 202038 mins
Join our Technical Evangelist, Paul Brebner, in a journey of exploration upriver with "Kongo", a scalable streaming IoT logistics demonstration application using Apache Kafka, the popular open-source distributed streaming platform. Along the way you'll discover: an example logistics IoT problem domain (involving the rapid movement of thousands of goods by trucks between warehouses, with real-time checking of complex business and safety rules from sensor data); an overview of the Apache Kafka architecture and components; lessons learned from making critical Kaka application design decisions; an example of Kafka Streams for checking truck load limits; and finish the journey by overcoming final performance challenges and shooting the rapids to scale Kongo on a production Kafka cluster.
Join us as we continue our webinar series specifically designed for the community by the community with the goal to share knowledge, spark innovation, and further build and link the relationships within our HPCC Systems community. Featured topics include project work presented by two interns from our HPCC Systems academic community:
Elimar Macena - Federal Institute of Espírito Santo (IFES) - Campus Serra, Brazil - Studying Crime Patterns in São Paulo state between 2006 and 2016.
Intelligence led policing (ILP) refers to technology-driven crime data analysis activities to support the design of effective crime prevention and prosecution strategies. This is a new approach to fighting crime that has been gaining strength due to the convergence of two technological streams: the digitization and release of public information related to the occurrence of crimes and the development of technological platforms that allow the proper handling of such information, such as the HPCC Systems platform. Elimar's project used the HPCC platform to analyze crime patterns in the state of São Paulo in Brazil between the years of 2006 and 2016.
Muiredach O'Riain - Goldsmiths, University of London - Machine Learning and the Forensic Applications of Audio Classification: An exploration of the forensic applications of sound classification using Artificial Neural Nets
Muiredach will present how he used HPCC Systems to help build a reliable classification model that is able to accurately classify an input sound file to its location. His project intends to not only demonstrate a proof of concept for this technology, but also to lay the groundwork for what could be the next step in forensic audio analysis and a new means of gathering information through sound.
Mark Palmer, SVP and General Manager of Analytics at TIBCO Software & David Skerrett, Digital Transformation LeaderRecorded: Jan 23 202059 mins
Delve into the FSI computing trends that will facilitate next-generation banking systems. From adaptive data science for real-time and predictive intelligence, to visual intelligence that helps humans effectively “query the future,” this webinar examines:
- How artificial intelligence is innovating the industry and how humans and machines can combine to achieve strategic enhancement
- How FSI leaders can make sense of millions of data points and turn them into meaningful insights, and how AI is making this easier than ever before
- How data analytics is transforming risk and fraud management
- Discussions and participant poll results surrounding the good, the bad, and the ugly of AI
Matthew Parisi, Sr Product Marketing Manager, Tealium & Dave Lucas, Sr Director of Product,TealiumRecorded: Jan 21 202048 mins
The promise of machine learning (ML) is huge. We’ve all benefited from machine learning technology, whether it’s something as simple as a song recommendation or something as complex as a self-driving car. And that’s just the tip of the iceberg. Yet, while the vast majority of companies have started ML projects, very few report much success. Why? Hint: it’s all about the data.
Join us as we explore the challenges companies must solve to unlock the promise of ML and how companies can use it to deliver more effective customer experiences. We’ll also show off our newest ML-powered feature, Tealium Predict, adding machine learning insights to Tealium’s Customer Data Platform.
The webinar will cover:
- What challenges must companies solve to conquer the machine learning conundrum
- What capabilities are key to get real value from ML projects
- How a data supply chain approach supercharges ML results
- Learnings from developing ML-powered products
- Walkthrough of Tealium Predict, Tealium’s newly released ML-powered customer insights tool for our Customer Data Platform
Get practical tips, proven approaches and the inside scoop on Tealium’s latest product release. Sign up today to reserve your spot!
Mike Alperin, Manufacturing Industry Consultant, TIBCO Software Data Science teamRecorded: Jan 21 202049 mins
A major transformation is taking place in manufacturing. New capabilities for processing streaming sensor data—along with big data, machine learning, and edge technologies—are driving the industry from reactive problem-solving towards increasingly proactive management of equipment, processes, products, and factories. It is now becoming possible to aggregate, analyze, and rapidly act on vast quantities of data being generated.
In this webinar, discover how we are enabling customers with solutions such as predictive maintenance, automated pattern classification, anomaly detection, and product and process digital twins.
Richard Tibbetts, Principal Product Manager, AI, Tableau; Ryan McShane, Director, Product Marketing, TableauRecorded: Jan 21 202023 mins
Say hello to Explain Data—a new AI-powered feature that helps you understand the “why” behind the values in your data. It provides potential explanations for unexpected data points with a single click.
Curious to see it in action?
Watch this webinar and see how Explain Data is changing the way in which you interact with data. Join Tableau product experts as they outline the technology behind the newest feature and how significant AI innovations are bringing you closer to your data so that you can get answers faster and make better, more meaningful decisions.
Jake Spencer, Product Marketing Manager, Tealium; Matt Berger, Content, Tealium; & Maltie Maraj, Sr. Counsel, TealiumRecorded: Jan 16 202048 mins
Consumer sentiments are taking shape around the changing data privacy landscape. Consumers are now willing to trust brands they like, but data privacy is becoming more important to them especially as they become more aware of how that data is being processed and used.
Join us for a discussion on the state of consumer data privacy based on recent research, as well as:
- Why consumers default to trust -- and how brands can shore up that feeling
- Why transparency is key throughout the customer journey
- What companies can do to better serve the consumer in this landscape
- Best practices for getting started addressing regulations like CCPA
Ben Slater, CPO, InstaclustrRecorded: Jan 16 202044 mins
This webinar will overview the key trends that Instaclustr is seeing in the adoption of open source solutions for large scale, high-reliability applications. What are the predominant use cases and technologies and what approaches are driving the most successful adoption? Looking forward, we will survey the trends shaping the development and proliferation of open source technology and how enterprises can shape their technology strategy to take advantage of these developments.
Ken Gardner, CEO and Founder - conDatiRecorded: Jan 15 202029 mins
At first glance it appears your brand digital ad campaigns are saturated. Throwing additional spend at them is not producing the revenue lift you hoped for. It seems you have hit the point of diminishing returns… but have you?
Campaigns can appear saturated, especially if you limit analysis for bid optimization decisions to the confines of your ad platforms, but with the right tools in hand you could get 10%+ lift from those campaigns. In today’s complex marketing environment, an AI-based revenue optimization process that is continuous and sequential is needed. Sophisticated algorithms that identify high potential micro segments and can adapt to changes in market and competitive conditions are required to lift the return.
Join conDati’s CEO Ken Gardner as he showcases how an online retailer leveraged conDati RevenueLift™ (an AI-driven marketing platform for campaign decisioning and predictive analytics) to drive an impressive 13% lift in e-commerce revenue over a historically low holiday period.
Hiral Jasani, Anand PrasadRecorded: Jan 8 202046 mins
Your marketing is only as good as you measure. With Real Impact, our measurement dashboard, we show you exactly how and to what extent your marketing campaigns have impacted your business – everything from revenue generated to users retained.
Caroline Carruthers, Author, Jonathan Bowl, VP Dig. Insights Hitachi VantaraRecorded: Jan 7 202014 mins
Discover exclusive expertise, insights, and analysis from across the global data community. And accelerate your DataOps strategy, with the right data thinking, in the right place, at the right time…
This Webinar introduces the Data at Work podcast series which is your guide to extracting more value from your data. In 12 episodes you can learn how to put data at the heart of your organisation.
The series is founded on the ideas discussed in "Data Driven Business Transformation: How to Disrupt, Innovate and Stay Ahead of the Competition". A unique take on data transformation, written by Caroline Carruthers and Peter Jackson. You can hear directly from the authors, plus, Hitachi experts and special guests, all sharing their know-how, to get you on the path to data maturity.
Chris Lowe, Senior Solutions Consultant, TIBCO Software Inc.Recorded: Jan 6 20208 mins
A short introduction to TIBCO's Fraud Accelerator, an intelligent, automated, analytical system, that helps businesses reduce false positives and augment human intelligence with data science models that can help predict fraudulent business events.
Philip Walker, Transportation & Logistics Account Executive & Ashwin Datla, Senior Solutions Architect at TIBCO Software Inc.Recorded: Jan 6 202024 mins
Based on McKinseys Navigating a World of Disruption 2019 report, the industries that stand to gain the mostvalue from AI are Travel, Transport and Logistics.
With digital transformation, there's a polarisation of outcomes: winners win more, losers lose more.
To win, we need to grasp the advantages of digital before your competitors do, and nowhere is this more true than in transport and logistics. Within these industries, vehicle route optimization is recognised as significant business opportunity. But what does it take to implement and stay ahead of the competition?
This short webinar will show you how TIBCO’s Connected Intelligence Cloud provides the tools needed to make your vehicle route optimization journey a success.
Chief Analytics Officer Colm Carey and Senior Quantitative Analyst Nina Jensen - AA IrelandRecorded: Jan 3 20203 mins
Chief Analytics Officer Colm Carey and Senior Quantitative Analyst Nina Jensen on the advantages of putting analytics in the hands of every business user.
AA Ireland specializes in home, motor, and travel insurance and provides emergency rescue for people in their homes and on the road, attending to over 140,000 car break downs every year, 80% of which are fixed on-the-spot.
Chris Lowe, Senior Solutions Consultant, TIBCO Software Inc.Recorded: Jan 2 20207 mins
Fraud is one of the biggest overheads for most financial firms. Detecting crime is hard as fraud constantly evolves and the tools have to be able to evolve with it. Also one of the key areas of focus for most firms is to address the cost of handling the false positives that all automated systems generate.
Watch this short demonstration to learn how TIBCO’s advanced analytics and data science solutions can help you overcome these challenges.
Michael Araneta, AVP at IDC Financial Insights & David Rosen, Digital Transformation Thought Leader at TIBCO SoftwareRecorded: Dec 23 201957 mins
Connected Intelligence in Financial Services - Action plans for creating competitive advantage through data
Banks and insurance companies are betting big on artificial intelligence and machine learning to give them the technological edge for more real-time, personalized, predictive services. A framework will help differentiate early winners and provide them with sustained advantages.
Watch this webinar with guest speaker from IDC Financial Insights Associate VP Michael Araneta, and TIBCO Software Digital Transformation thought leader David Rosen.
They have an inspiring conversation on what it takes to be disruptive in today’s challenging, competitive, and highly regulated financial services market.
What you will learn:
- Trends that reveal FSI company readiness for connected intelligence
- Pitfalls to avoid & ways to bridge the gaps
- AI & ML building blocks for personal, real-time, and predictive services
- Essential guidance from IDC and 2020 predictions
Faith Adams (Forrester), John Bennett (Sutter Health), Patric Wiesmann (Reputation.com)Recorded: Dec 19 201960 mins
Everything we knew about Customer Experience (CX) has changed. In this Feedback Economy, consumers have the power to make or break your brand in minutes if you don’t deliver on your promises. For brands, especially healthcare brands, it’s no longer enough to react to customer concerns — they must be proactive in delivering great CX.
So, how can healthcare systems and caregivers navigate this new reality, in which their reputation and patient experience depends on real-time customer feedback and response? By tuning into the online conversations and feedback across multiple channels — such as review sites, social media and surveys — they can truly understand what healthcare consumers want and expect, and take action to deliver on and even exceed those expectations.
This informative session, moderated by Forrester’s Faith Adams, will explore the criticality of developing customer-centric strategies built on engagement and show how adopting new technologies and methods to listen and act on uncensored feedback can improve patient care, build loyalty and create competitive advantages for businesses.
•How the feedback economy has created a subtle but seismic shift in customer behavior
•How Google is critical to attracting and engaging with patients
•How Sutter Health is transforming their business with insights from customer sentiment
•What Reputation.com is developing to help healthcare brands regain control
Ashley Howard Neville, Senior Technical Evangelist, TableauRecorded: Dec 19 201958 mins
Join this 60-minute webinar to explore the scientific underpinnings of what enables people to understand data quickly and effectively (and how Tableau helps them get there). We will deep dive into the neuroscience of the human visual system works, before exploring the scientific underpinnings of Tableau. You'll gain the tips and tricks necessary for authoring visualizations that effectively tell compelling data stories.
With black-box AI, people are refused or given loans, accepted or denied university admission, offered a lower or higher price on car insurance, and more, all at the hands of AI systems that usually offer no explanations. In many cases, humans who work for those companies can’t even explain the decisions.
That’s why white-box AI is now getting heaps of attention. But what does it mean in practice? And how can businesses start moving away from black-box systems to more explainable AI?
We’ll delve into the three key components needed for white-box AI success: more collaborative data science, involving all teams from lines of business through IT; trust in data at all levels, including tools that
can be used to increase transparency in data processes; and the role of education and the democratization of data.
And we’ll address why white-box AI brings business value in the first place and how it’s a necessary evolution for AI. Not only do customers care about explainable results of AI systems, but internally, white-
box AI is less risky. Don’t miss this VB Live event on how to move towards explainable AI.
REGISTER FOR FREE
+ How to make the data science process collaborative across the organization
+ How to establish trust from the data all the way through the model
+ How to move your business toward data democratization
+ Triveni Gandhi, Data Scientist, Dataiku
+ David Fagnan, Director, Applied Science, Zillow Offers
+ Rumman Chowdhury, Global Lead for Responsible AI, Accenture Applied Intelligence
+ Seth Colaner, AI Editor, VentureBeat
Patrick Ludwig, BD manager at AWS Florent Voignier, CTO at Indexima Nicoals Korchia, COO at IndeximaJan 30 202011:00 amUTC30 mins
This webinar is dedicated to best practices for business intelligence and analytics applications in the cloud.
1.Why the future of data & analytics is in the cloud?
2.From tech trends to reality: how to empower instant big data analytics from AWS marketplace with Indexima data hub?
3.Live demo on 20 billion rows and a customer use case
Michael Harrison, Managing Partner of Winterberry GroupJan 30 20206:00 pmUTC60 mins
Everything you've always wanted to know about Customer Data Platforms.
Marketers are dealing with more technology than ever. The average martech stack includes 14 tools which leads to huge problems for marketers when trying to get a clear picture of their customer journeys, personalize ads and messaging across channels, and unify their customer data.
Enter the Customer Data Platform.
Join Winterberry and Arm Treasure Data to learn more about what a CDP is and isn’t, current market trends, CDP best practices and real life success stories online!
Speaker: Michael Harrison, Managing Partner of Winterberry Group
With 20 years of marketing experience, Michael leads Winterberry Group’s marketing consulting practice. He brings strategic and executive competencies in all aspects of business and digital transformation, customer journey mapping, omnichannel development, marketing operations, supplier management, data integration and management, data procurement, prescriptive and predictive analytics, and quantitative analysis.
Before joining Winterberry Group, he served as Chief Strategy Officer at Ansira. In this capacity, Mr. Harrison led the strategic direction of Ansira and their clients including, but not limited to Domino’s, Panera, Nestle N.A., Mitsubishi, and La-Z-Boy. He was accountable for strategic planning, analytics, technology development (data and digital), programmatic and social media.
The Winterberry Group is a specialized management consultancy that offers more than two decades of experience and deep industry expertise in the intersecting disciplines of advertising, marketing, data, technology and commerce.
Leveraging a combination of custom consulting methodologies, intensive research efforts and decades of operating experience, Winterberry Group supports its clients' growth objectives through a wide range of services, including growth strategy, data-driven marketing transformation, M&A transaction support, and market intelligence.
Rick van der Lans, Independent Analyst, R20/Consultancy & Paul Moxon, VP Data Architectures & Chief Evangelist, DenodoJan 30 20207:00 pmUTC59 mins
Success or failure in the digital age will be determined by how effectively organizations manage their data. The speed, diversity and volume of data present today can overwhelm older data architectures, leaving business leaders lacking the insight and operational agility needed to respond to market opportunity or competitive challenges.
With the pace of today’s business, modernization of a data architecture must be seamless, and ideally, build on existing capabilities. This webinar explores how data virtualization can help provide a seamless evolution to the capabilities of an existing data architecture without business disruption.
You will discover:
-How to modernize your data architectures without disturbing the existing analytical workload
-How to extend your data architecture to more quickly exploit existing, and new sources of data
-How to enable your data architecture to present more low latency data
Join this webinar and learn how data virtualization can be an essential part of your modernization strategy, and future-proof your data architecture to more easily support cloud, data science, self-service BI, and other initiatives that will ensure your organization’s success in the digital age.
Matthew Monahan, Senior Product ManagerJan 30 20208:00 pmUTC90 mins
Traditional data catalog solutions often require a conglomeration of separate tools (multiple catalogs, ETL, data governance, etc.) which are managed in silos by separate teams. When a data analyst needs to derive business value from this data, it requires communication across teams, integrations between products, and a high level of coordination to get them the data they need.
A single platform, on the other hand, provides a single source of truth for analysts to quickly gain access to the data they need in a self-service manner. From source to provisioning, the automated data catalog keeps gears aligned and the train on the track. This reduces the burden on the IT staff, while ensuring the right level of governance over the whole process.
An automated data catalog provides the workflow to take your data from source to value without manual intervention. Allowing a small team to accomplish the same tasks as one much larger. The catalog can automatically bring the data in from the systems of record, execute data quality rules, profile the data, prepare it for consumption, and provision it to the locations where the analysts can use it.
During this webinar, Matthew Monahan, Senior Product Manager at Zaloni, will explore:
- The benefits of a single application over connecting various point-solutions
- How automation from source to destination reduces your workload
- Real-world examples that you can leverage
Mike Madden, Head of Commercial, Tim Ozmina, Sr. Marketing Specialist, Hayley Ferrante, Sr. Marketing Specialist, MarketoJan 31 20202:00 pmUTC49 mins
- How to select lead generation programs and evaluate successes
- How to plan email and nurture programs to move prospects through each stage of the marketing funnel
- Strategic tactics to create sales-ready leads
Victor Ivarsson (Head of Operations, Upsales) and Robbie McKiernan (Account Executive, Looker)Feb 5 202010:00 amUTC20 mins
While 'data-driven marketing' is common practice, it typically relies on Sales/CRM data to gain insights and make decisions.
Companies today use thousands of SaaS applications and business systems that create more data than ever imagined - so leveraging a data silo in a world with a myriad of data sources will inherently limit business potential.
To differentiate and drive growth, businesses must creatively leverage the plethora of data they collect - from every source - to maximise its value.
In this webinar, we'll cover how to:
- Gain accurate, holistic and actionable insights from your data, with a modern approach to analytics.
- Integrate reporting and self-serve analytics into your existing software applications, portal or website.
- Achieve rapid time to value, by sharing a real-life example of an Upsales implementation.
Leanne Chescoe, Sr. Manager, Marketing, Demandbase and Tenessa Lochner, Sr. Manager ABM Education, Manager, DemandbaseFeb 5 202010:00 amUTC52 mins
Calling all Marketers!
It is officially the year 2020, so what’s your vision?
No seriously — no pun intended. What is your 2020 vision?
When it comes to kicking off the new year with a full-funnel ABM campaign, there are quite a few things to consider.
- Consideration 1. What programs should you stand up to support business objectives?
- Consideration 2. How do you enable sales with kick-ass field marketing events that meet key accounts where they’re at?
- Consideration 3. Does your content strategy ladder up to key themes, objectives, personas and pipeline goals?
- Consideration 4. What about direct mail?
- Consideration 5. You know you should leverage webinars, but how much is too much?
- Consideration 6. ABM is better with friends, so when and how should you leverage strategic partnerships every step of the way in your ABM journey?
Register today so that you can get real-deal, actionable insights on this marketer-to-marketer style webinar. During the session, Leanne and Tenessa will layout a best-in-class framework for full-funnel ABM along with recommendations on how your team can turn these considerations into action.
Jordan Con, Product Marketing Manager, Marketo, an Adobe CompanyFeb 5 202011:00 amUTC41 mins
Marketing analytics is at the top of every marketing team’s priority list. But for many, it can feel overwhelming. Watch Jordan Con, Product Marketing Manager at Marketo, for our webinar, Marketing Analytics 101: How to Prove and Improve Marketing Impact with Data, where he sets the foundation for a solid marketing data and analytics strategy, no matter where you are in your journey.
How, when, and why to use journey and impact analytics
How to prove and improve impact with attribution data
What goes into good dashboards and reports
André Dörr, Data Engineer, Exasol - Beat Bannwart, Product Manager, 2150Feb 6 202010:00 amUTC45 mins
In unserem Webinar lernen Sie, wie sie den ‚Time-To-Market‘ ihrer BI-Lösung durch intelligente Datawarehouse-Automatisierung verbessern. Wie? Mit dem Datavault Builder kombinieren Sie modell- und datengetriebene Verfahren zur DHW Automatisierung, um noch mehr aus ihrer Exasol Datenbank herauszuholen:
Im Webinar zeigen wir Ihnen wie Datavault Builder und Exasol bereits erfolgreiche zahlreiche Tools ersetzt haben, z.B. für das Database Design, Scheduling, Deployment bis hin zu ETL Tools – alles in einer integrierten Lösung. Neben Nutzen und Vorteilen zeigen wir Ihnen auch in einer Live Demo, wie Sie unterschiedlichste Daten aus Live-Quellen integrieren.
Paulo Martins, Head of Digital Marketing, Demand Generation & Scott Minor, Digital Marketing Program Manager, MarketoFeb 6 202011:00 amUTC60 mins
Digital ads are an essential component to any good marketing campaign. Watch Paulo Martins, Head of Digital Marketing at Marketo, and Scott Minor, Marketing Program Manager at Marketo, for their webinar, A Winning Digital Ad Strategy: How to Optimize at Every Stage of the Funnel. They dive into the digital campaigns they run at each stage of the funnel, as well as the KPIs they look at to ensure their focus is in the right place.
Brendon Ellis, Caroline Carruthers and Kim NaessFeb 11 202010:00 amUTC20 mins
In part 1 of our podcast focusing on Data Strategy, our panel of experts take on some of the major questions around data strategy: How to get started, the importance of aligning your data strategy with your corporate vision, and getting everyone on the same page. The dangers of focusing too much on the technology itself - our imaginations and how we use those tools are just as vital... And why "perfection is a disease". Once you have listened to this podcast, please listen to the extended discussion in part 2.
Watch also the introduction webinar to learn more about the series: https://www.brighttalk.com/webcast/15913/382721
Camillo Fitzgerald (Futureplay Games) and Ernesto Ongaro (Gaming Data Expert)Feb 11 202010:00 amUTC44 mins
It's time to rise above vanity KPIs like DAUs!
- Using data to drive game development?
- Using data to optimise ad spend?
- Tying these together to understand how UA, retention and monetization are linked in your games?
- Interested in discovering how the pro’s set up their data pipeline?
Join this live webinar to answer these questions, and more. You'll learn how to drive real change by leveraging a modern data platform to build better games and get some hands-on examples of analytics used at Futureplay Games.
Jörg Meiners, Principal Sales Engineer DACH Region - Denodo TechnologiesFeb 11 202010:00 amUTC30 mins
Data Scientists lieben Daten! Und auf diese möchten sie schnell, flexibel und unkompliziert zugreifen. Jedoch ermöglichen die meisten klassischen Data Warehouses (DW) und Data Lakes keinen einfachen und agilen Datenzugriff. Eine weitaus praktikablere Lösung ist das Logical Data Warehouse (LDW), welches sich als eine agilere Basis für die Bereitstellung und Transformation von Daten etabliert und das schnelle Einbinden neuer Datenquellen erheblich vereinfacht.
Key Takeaways dieses Webinars:
* Wie werden neue Datenquellen für Analytics schnell und flexibel verfügbar gemacht?
* Wie können Unternehmen Schritt für Schritt auf eine flexible LDW-Architektur migrieren?
* Wie unterstützt Sie ein LDW dabei, Self-Service Analytics im klassischen BI Umfeld zu integrieren?
Kevin Britton, Hemlock Semiconductor & Michael O’Connell, Chief Analytics Officer, TIBCO Software Inc.Feb 11 20202:00 pmUTC37 mins
Making organizational excellence smarter through predictive intelligence is imperative for those in any global industry. Predicting, and avoiding, high-cost failures such as excess material buildup or unplanned production downtimes are critical to success.
In this webinar, Hemlock Semiconductor illustrates how a TIBCO Connected Intelligence solution, including TIBCO Spotfire and TIBCO Data Science software, has streamlined its process optimization to accelerate real-time decision making and reduce costs. Hemlock will also share how its analytics journey involved breaking down data silos and improving enterprise-wide collaboration.
Kevin Britton, Hemlock Semiconductor
Michael O’Connell, Chief Analytics Officer, TIBCO Software Inc.
Matt Hertig, CEO and Co-founder, Alight AnalyticsFeb 11 20205:30 pmUTC60 mins
When most marketers plan a campaign, they’re trying to answer the same basic questions: Who should we target? Where should we spend our budget? When should the campaign start and stop?
But there’s a better way to design your marketing strategy — one that helps you avoid wasted spend and forecast where your time and money will generate the most conversions, leads and sales. It’s all a matter of asking better questions.
In this session with Alight Analytics CEO Matt Hertig, you’ll learn …
-Why it’s so difficult to use data to guide campaigns
-How to shift from “who” to “how” questions in your marketing strategy
-How to get the data necessary for increased marketing performance
Eva Murray, Head of BI und Tableau Evangelist, Exasol - Bennet Poniewaz Consultant Business Solutions BA, Sievers GroupFeb 13 202010:00 amUTC45 mins
Lernen Sie in unserem Webinar am Beispiel von Sports-Analytics, wie moderne Analysetools Ihre Daten in wertvolle Erkenntnisse verwandeln:
Experten von Exasol und Sievers Group zeigen Ihnen anhand von Anwendungsfällen in der Realität, wie Unternehmen von den Analysen im Leistungssport lernen können – und schneller, bessere Ergebnisse generieren. Aus dem Sport. Für Ihr Business.
Außerdem zeigen wir Ihnen „Multi-dimensional decision making“ und wie bereits heute Echtzeitarchitekturen diese Anwendungsfälle erst möglich machen.
Brendon Ellis, Caroline Carruthers and Kim NaessFeb 18 202010:00 amUTC22 mins
In part 2 of our podcast focusing on Data Strategy, our panel of experts discuss some key learnings from their experiences: If an organisation is to grow and evolve in line with the value in its data, then so too must its data strategy. It's vital to have the drive and belief to be brutal when necessary to recalibrate or even cancel projects when they aren't going to plan. Why it's important to keep strategy as high-level as possible to avoid overcomplication, and how in time, your data strategy can be used to build out a wider data story and enable the organisation to not just embrace change but leverage it. Please note - we recommend that you listen to part 1, before listening to this episode.
Watch also the introduction webinar to learn more about the series: https://www.brighttalk.com/webcast/15913/382721
It’s do or die time: According to Gartner, the global business value from AI leapt by 70 percent last year, to $1.2 trillion, and it will triple to $3.9 trillion in 2022. So enterprises interested in getting on the AI train should jump now -- before you lose some major competitive advantages.
Of course, the biggest challenge for enterprise companies is figuring out the build versus buy question. There’s the build-in-house model of AI implementation, with open-source toolkits and expensive, but essential new hires. The number of startups offering full-service consultation, with set-up and service is proliferating, but who do you choose, and what do you pay for? And somewhere in between those options there’s the artificial intelligence as a service (AIaaS) approach — and again, the field of vendors is crowded with options.
There’s no easy, one-size-fits-all answer — but there are experts with real insight into how to identify your business needs, and where to get started implementing AI in the most cost-effective, profitable way possible for your enterprise. To get up front and personal with pros in the trenches now, register now for this VB Live event!
*How to identify your AI needs
*How to identify your decision criteria
*The pros and cons of build and buy, and the best situations for each
*How to get a handle on the true costs of both build and buy
Dirk Lerner - Tedamoh, Mathias Brink - Exasol, André Dörr - ExasolFeb 19 20205:00 pmUTC90 mins
The fictitious company FastChangeCo has developed a possibility to manufacture Smart Devices. With each of these devices, a large amount of (sensitive) data is generated. Based on this data, FastChangeCo aims to make forward-looking decisions. On the one hand, this is intended to encourage customers to make targeted purchases, but also to significantly improve the quality of existing products and develop future products. In this presentation, the speakers will show how FastChangeCo has achieved its goals by rapidly building the required computing capacity in its Hybrid Cloud Data Warehouse architecture using existing enterprise technologies.
In this presentation, the speakers will show how FastChangeCo has achieved its goals by rapidly building the required computing capacity in its Hybrid Cloud Data Warehouse architecture using existing enterprise technologies. The elasticity thus achieved contributes significantly to a cost-efficient solution.
Michael Carter, Lead Software Engineer, InstaclustrFeb 20 20204:00 amUTC45 mins
Ensuring reliable data storage and delivery with Apache Kafka can prove to be a concern. Those trying to implement Apache Kafka are forced to deal with critical questions such as: how data order can be at risk? How data could potentially be lost? How records could be accidentally duplicated?
Join this webinar as we explore the essential components of building an effective strategy for data integrity with Apache Kafka. This webinar will also dive into how to resolve the above issues using a combination of:
- Effective Topic and Partitioning strategies
- Effective Data Keying Strategies
- Exactly once Semantics with Producers and Consumers
Laetitia Korn, CMO at IndeximaFeb 20 202011:00 amUTC26 mins
How to seize the opportunities of analytics?
Totaling $ 3.4 billion in assets and generating more than $ 1.5 trillion in revenue in 2017, Telco is an important economic sector. Above all, they are driving an unprecedented phenomenon: that of interconnection at the global level.
This increase in the volume and use of data is causing new challenges for Telco but also new possibilities.
What issues and opportunities do Telco’s face?
How can Telco leverage data and its exploitation?
What good practices?
Blake Hodges - Account Director at Alight Analytics & Meghan Dimas - Marketing Analytics Manager at Infinity MarketingFeb 20 20205:00 pmUTC60 mins
Repeat after me: Your agency CAN succeed with marketing analytics. You CAN turn data into a reliable source of business, revenue and actionable insights.
In this webinar, you’ll hear the story of Infinity Marketing, a Greenville, SC agency that has built a successful, profitable analytics program — in just a few short years, with a team of two.
-Why efficiency is the foundation of a profitable analytics practice
-What kinds of technology, talent and support you need to produce reporting and analysis at scale
-How to create a tiered analytics offering that appeals to clients at all price points